[scikit-learn] branch master created (now 80fc9e7)
Andreas Tille
tille at debian.org
Wed Dec 28 12:57:52 UTC 2016
This is an automated email from the git hooks/post-receive script.
tille pushed a change to branch master
in repository scikit-learn.
at 80fc9e7 Build-Depends: python-pytest, python3-pytest
This branch includes the following new commits:
new 92fbeab Initial repository layout
new 619da34 Initial commit for learn, a set of algorithms and tools for machine learing in python
new fbb3c51 Adding oldfaithful to datasets
new def073b Adding Iris data from UCI ML db
new 2cc9f2b Adding pendigits from UCI ML DB
new 9e79310 Add __init__ file to iris dataset module
new 7288b73 Add heart data
new 7635286 Add German credit dataset
new 3f5b1f2 Add __init__ file to german and heart datasets
new 552535a Split german data between features and label
new a889cae Add learn.preprocessing, for data pre processing
new e824c3f Add a basic readme to learn.datasets package
new 076938f Flatten data in Iris dataset
new 290018f Add a misc subpackage in datasets for tools useful to several datasets
new 898e32f Flatten oldfaithful
new cd076af flatten german and pendigits
new 2e66160 Add a scaler object + tests.
new 4b049f1 Add function to handle Nan data for scaling.
new 9cd2040 First code commit.
new db45b2f From: fred.mailhot <fred.mailhot at cb17146a-f446-4be1-a4f7-bd7c5bb65646>
new 06e6ed2 Adding data dir with data files.
new b7459be - Got least-squares optimization working - Stuck more info into my "test" function to confirm that leastsq is doing something good - Began incorporating simplex, bfgs and ncg (added explicit objective fxn for this to work) - discovered dot() and transpose() fxn for arrays... :) some refactoring of matrix multiplication avoiding conversions calls to matrix() and array()
new 1901d26 Implementing error/gradient functions more carefully. Borrowing heavily from Netlab.
new 394dd1f Extensive refactoring of mlp (still convergence probs with some optimization algs). Started work on srn, should commit a good deal more tonight (want to have a working srn with at least one training alg before the weekend).
new a164501 Minor changes to srn.py. Plans for future dev included in docstrings & comments.
new e6f86d6 New start with RBF net. Will finish this Sunday.
new 3e6e770 Heavily refactored MLP. Only leastsq used for optimization.
new 633fbcc Refactoring SRN based on MLP. Simple 1-step backprop only.
new 3875829 data files for testing
new 8a55615 more data files for testing
new 7c48b54 Heavy refactoring. These are more or less complete now. Small additions remain to make the interface more obvious for users.
new 7bcd7fc Updates/refactorings for mlp and srn, addition of rbf.
new a81331e Removed two data files.
new 6bd1582 Updated __init__
new 47f46e6 Easier way to select random sample of data for RBF centers.
new ff25635 HTML files for {mlp/rbf/srn}.py generated by pydoc uploaded.
new 75b6c2b Add axis arguments to functions that changed in NumPy 1.0b2
new 3de66ff initial checkin of ga library.
new effb5e5 much clean up of module paths after files were moved.
new 8ec6973 initial attempt at including Numeric as a sub-package
new a48083f attempt at fixing the chaos created by my last checkin.
new f545bc6 fixed several package related issues with from x import *
new 2a1f48e added from fastumath import * to all sub-modules in scipy (besides Numeric)
new 7b201b4 Fixed a time.time function replacement error that Prabhu found.
new 03f8b71 adding setup_xxx.py files for the new setup.py infrastructure.
new 2a365d2 Fixed import of stats module in ga.
new 6e77163 Moved shelve to io. Cleaned up __init__ files.
new 7db9945 Changed references to fastumath to scipy_base.fastumath
new c3005a2 Changed == None to is None
new 3ee61d0 Converted module to use 'import' directly, instead of exec 'import...'
new e361f17 Carried out major unification of xxx/setup_xxx.py files. Discussion: some modules contain setup.py files that repeat the functionality of the corresponding setup_xxx.py files. Are there any objections if setup.py and setup_xxx.py will be merged into setup_xxx.py and setup.py files will be removed from CVS?
new ab97ba3 1) Finished applying ppimport hooks to scipy. New scipy import timings on PII 400MHz, Debian with postponed import hooks enabled:
new bb4a10c * Made changes to bring ga up to speed with latest stats module. * fixed remove_NaN function to use a more scipyish solution.
new 153e48d Replaced execfile statements with simplified import statements in order to avoid problems with Windows installer tools.
new 2b55e32 New import hooks are applied to cow,ga,sparse. Clean up.
new 6123125 Fixed import problem with importing __pre___init__
new 9515166 Converted usage of whrandom to random.
new 609841c More changes to get rid of whrandom usage.
new 5b515cc Fixed issue 216
new bbf65a1 Converted scipy to use numpy. Several tests fail but are easily fixed.
new 0b3f121 Fixed old imports (ticket #36)
new c017b1f Run reindent.py (script distributed with Python) over the source to remove extraneous whitespace
new 6169fc6 remove unused imports
new 430ed93 remove duplicate definition of __float__
new 1549b35 Add axis arguments to functions that changed in NumPy 1.0b2
new e3ed0fd Initial commit David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-06-08 17:59:58 +0900 (Thu, 08 Jun 2006)
new ba57268 Put files into a package David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-07-12 13:52:02 +0900 (Wed, 12 Jul 2006)
new d74b2e8 Package uses distutil David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-07-13 15:20:08 +0900 (Thu, 13 Jul 2006)
new 3d83d80 Merge with main branch David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-07-13 19:35:51 +0900 (Thu, 13 Jul 2006)
new ac1c6a7 Add Changelog, put version to 0.3 David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-07-13 19:51:04 +0900 (Thu, 13 Jul 2006)
new d2fbad4 Refactoring of EM into classes David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-07-14 16:26:45 +0900 (Fri, 14 Jul 2006)
new 0ab64ed Add scripts for benchmarking, minor corrections David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-07-14 19:28:13 +0900 (Fri, 14 Jul 2006)
new 33ad4b1 Push to version 0.4.2 David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-08-04 19:48:19 +0900 (Fri, 04 Aug 2006)
new a4a1e58 Version 0.5, add custom confidence ellipsoids David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-08-07 18:46:57 +0900 (Mon, 07 Aug 2006)
new 5b70fa2 Adapt to numpy 1.0b3SVN David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-08-17 18:48:51 +0900 (Thu, 17 Aug 2006)
new 18e7b0e correct bug with GMM.init_method David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-08-24 19:44:42 +0900 (Thu, 24 Aug 2006)
new 5c17a83 revert to custom kmean David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-08-24 20:12:27 +0900 (Thu, 24 Aug 2006)
new a2dd902 Various cleanup, include ctypes version of diag gden; update profile function to include ctypes version David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-08-28 22:03:28 +0900 (Mon, 28 Aug 2006)
new 95f3f83 - Add a plot1d method to GM class
new fb65255 - Improve plot1d method to be more useful
new 2d0a200 MSG David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-10-03 18:29:50 +0900 (Tue, 03 Oct 2006)
new c5ca73f Bump to 0.5.3 David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-10-03 18:34:42 +0900 (Tue, 03 Oct 2006)
new 02648cb Add preliminary online functions (does not work yet) David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-10-06 20:03:59 +0900 (Fri, 06 Oct 2006)
new 8ccb807 Change of layout for inclusion in scipy David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-10-12 21:19:17 +0900 (Thu, 12 Oct 2006)
new b2c0a76 Change of layout for scipy (2) David Cournapeau <david at ar.media.kyoto-u.ac.jp> | 2006-10-12 21:21:33 +0900 (Thu, 12 Oct 2006)
new 231fef1 Last pyem layout cleanup to finalize inclusion into scipy trunk
new fb4ef88 Add svm and pyem package in the comments of setup.py; correct bugs in the online EM script
new b6015fb * Convert the online_em.py script to a class, OnGMM * Add tests for OnGMM * Small bugfixes in _c_densitites (convert general exception to ImportException when wrong ctypes version found), setup (remove the name attribute to avoid warning when installing)
new 1b1682c * pyem: added GM.bic function to compute Bayesian Information Criterion for automatic model selection + various docstrings fixes
new 84dabaa * pyem: trivial change of API for OGMM
new 6788c70 * sandbox.pyem: fix a bug which prevents full covariance from being used + tests to avoid this issue from being unnoticed
new ca1fa13 * bump to 0.5.6 * various cosmetic changes
new b0ecea1 Various bug fixes (see Changelog)
new 07ed219 Add densities2.py for preliminary axis support and add specialized class for online EM in 1d for a 10-100x speed incread
new 90ada96 Add a script to profile online em
new 5bf5c97 Move documentation files in doc repository. * all examples lie in doc/examples. * A Makefile to generate the pdf from the rest files and python examples is now included.
new 119c2ed Put examples directory at the top level, so that they be easily imported for tests.
new 2298f9c Remove kmean as scipy.cluster.vq.kmeans2 does everything we need now
new 72e9a55 More benchmarking for basic operations in row vs col
new 672d1e7 Refactor 1d computation for plotting
new 6bdc230 Add some profiling scripts to compare likelihood computation with matlab.
new 179dde0 Add faithful data in data.
new b0f6ea4 Add function to plot density contours in GM.
new 410679d Add proper license in data, correct typo (double copyright)
new 3335c5a Polish contour functions, so that choosing the dimension of projection works.
new ac448f4 Fail nicely when call wrong plot function (plot1d for multinomial, plot for 1d models).
new 542b00d Add example of pdf estimation with EM
new 1a85ab2 Add data as a proper submodule
new aeffb9e Clean up densities.py code, set docstrings to rest
new 0f2bc9c Set def arguments to immutable to avoid nasty side effect.
new b4b1527 Heavy liftup of the code + docstrings.
new fe9f15b Add special initialization method for mixture models for testing purpose.
new e71b89c * Correct bogus GM._get_va which caused bogus isodensity plot + test * Support for plain matrix in GM.check_state
new e921989 Add a plotting example.
new bead4de Remote outdated test script.
new b32b132 Add basic tests for EM, 1d, 2d, full and diag mode
new 51c2aa1 Reenable tests I forgot to uncomment in gmm_em tests
new b5405eb Convert check calls to test calls in tests, for future convertion to setuptools
new 3fcf234 Add tests for pdf computation in log domain (1st step for logsumexp trick support)
new be7f78d Add logsumexp function + tests. Not used in the code yet, though
new 577db67 Add function to compute log responsabilities with logsumexp.
new 57bd65f Fix importing datasets in pyem/test
new 3686215 More fix for broken tests in gmm_em
new c28a855 Trivial fix for typo in pyem tests.
new c14e5e0 Refactor update step for EM (split diag and full case in subfunction)
new f72cefa add pendigits data from UCI machine learning website. Will be useful for testing regularization.
new b765fa6 Add pendigits as a subpackage of data for distutils.
new b888eed Change named arg varmode to mode for consistency, and add an argument for number of contours in density on grid
new 7ebfeb9 Update docstring of logsumexp.
new 9fe7ff7 Add (crude) regularized EM
new c3835d0 Add support for EM in log domain + tests
new f58bbc8 Add utils function to easily load pendigits data
new c4dd621 Add iris data from UCI ML database
new 1409be5 Remove datasets (include them in sckits.learn instead)
new 9e7e963 Add curry class to misc tools
new b071a5d Remove data dir from subpackages in setup
new c3ce1f6 Clean up some examples, and add an example for regularized EM
new 86ca759 Forgot to add the file implementing regularized example...
new c311be4 Use log pdf when possible in plot functions
new b6c2fd7 Clean up code for 1d plotting.
new ad6b37f Clean up for densities.py
new bd1e6b2 More clean up
new 9d53710 Add discriminant analysis example
new 4bcf71f Update doc
new 92270d9 Add forgotten picture necessary for generating the doc
new 11e3e1b Significantly improve speed of gauss_den
new ac88c10 More speed improvements for full matrices case
new 3ffe3c2 pylibsvm SoC project getting under way.
new a05ad03 libsvm 2.82 sources.
new d0552f5 Basic classification, regression and one-class with new API.
new a0a116f Fixed tests.
new fdd5b76 Started on documentation.
new d8810b5 Separated out kernels. Added facility for custom kernels.
new 66fb7fb Fixed RBF kernel.
new 7b5799b New design to hide libsvm data structure from the users.
new 79b1fa2 minor
new e570e2f Build a proper libsvm DLL on Windows.
new 77e1e19 Code integrated into NumPy itself.
new 4eb9bce Datasets.
new b50628a Basic tests for datasets.
new f0075bc Minor changes due to code moving to Numpy.
new f363dc6 Fix kernels.
new 5cc746e Training of regression model works.
new 1537b28 Predict stuff. Added some docs.
new 4f8d73d Classification test and some minor fixes.
new 1bbaba7 Regression test. Workaround for possible ctypes bug. Probability output for classification models.
new f6ee8ee Workaround for bug in ctypes 0.9.9.6.
new b04f33a Extend one-class estimation a bit.
new 8143c8b Cross-validation for classification and regression.
new b7dd4f0 SConstruct file to build shared library until numpy.distutils gets sorted out.
new 1a3b4fd Tweak so that test passes with GCC.
new 5def97e First attempt at a setup.py.
new ece0e89 Howto for getting the test suite to run.
new 48878f6 Minor updates.
new eb68f21 Let ctypes handle references to the contents of the svm_problem.
new b4e59b7 'randn' is no longer in top level namespace. Call N.random.randn.
new b46d08e Simplify libsvm wrapper and make tests run without having to set PYTHONPATH.
new ccbf125 Dataset for making precomputed kernels.
new b0c7b74 Precompute with any kernel.
new 3ec80d4 Working on support for precomputed kernels.
new 4b06142 Reformat code to conform to PEP 8.
new b505041 Dataset for dealing with precomputed kernels.
new 6d2ebc9 Precomputed model training.
new 4f1c12f More cleanups to conform to PEP 8.
new b871fa4 Factored out prediction logic so that we can support precomputed and custom kernels.
new ef76a6f minor
new 414eb0f Prediction refactoring in progress.
new 55bb742 Predict without calling libsvm.
new 9179e3b Code cleanup. Disabled tests that are failing due to NumPy defect.
new 71d9f90 More tests.
new d791ff4 Collapse predictor classes to yield a nicer API.
new 95ade90 Fix libsvm prediction with precomputed kernels.
new 1b475cc Make sure custom kernels are only used with precomputed datasets.
new 7c5cd77 Test for classification with precomputed kernel.
new 660b778 Don't train probability models by default.
new 21ffc14 Use .ctypes.data_as instead of ctypes.cast.
new 6f3c2b6 Use release build linker options.
new 01ce0e3 Extend classification tests.
new 5dc3dc6 Enable tests that exposed NumPy defect.
new b130007 Improve one-class tests.
new 9bef429 Extend tests to check nu-SVR.
new 44fb893 Classification in Python in preparation for some optimization.
new d2b39db Model compaction.
new a49aa3a Move zipping inside the datasets.
new 57638ed Benchmark with large test dataset.
new a2514e3 Refactoring kernels to work better in sparse and dense cases.
new fd9ab5d Fix a bug in ellipses of confidence computation for mixture + adapt to new datasets layout in examples
new 7f7d1e5 [PATCH 049/166] test
new cb2e537 undo fix
new 3aa0828 resyncing with scipy version
new b1e868c Move former scipy.sandbox modules into a separate package machine
new 88dd6f3 Modify setup to that svm and pyem are built from their setup
new 70f6234 Enable scikits.learn.utils test through setuptools --test-module mechanism.
new 1366836 Adapt tests + module import in pyem such as they work with setuptools test command
new 1678723 Add test and test_suite function to svm module
new c48bfe5 Ignore junk files in the whole learn tree, make machine a proper subpackage by adding an __init__.py file
new 931406f Make svm/examples a package so that its files are copied when installing
new e7a2dfa Prototype of attributes and class selection, based on introspection
new 44a1c48 Do not detect subpackages using find_packages from setuptools, but uses hiearchical setup.py ala scipy instead. Should solve #24
new 5792b54 Set correct name for datasets packages (data->datasets) in the setup, and trivial changes in datasets info message
new 91b83e4 Changing pyem to em
new ef0e920 Change examples and tests following the change of package name pyem->em
new e458dbc Fixed online em tests
new bc1f4b5 Split pendigits into training and testing datasets, and convert return value of load to the package conventions.
new 89e377b Remove pyc junk.
new febe21b Adapt examples using pendigits to the new format.
new 141297f Put back changes which somewhat were not commited before for setup in em sub package
new 8162903 First version of arffreader. Seems to read correctly most headers. Data not parsed yet
new 7af8d29 Non working arff reader
new d5b5935 Working arffreader
new 9065f50 Printing a small summary for arffreader
new 0eb4296 More thoughts on arffreader
new cf7d2b6 Handling missing values (?)
new 99bc40c Simplify Kernal Api names
new 8bb99f8 Finish api names simplification: no more Kernel suffix, no more LibSvm prefix
new b56690d Add partial evaluation tool to replace functools module for python < 2.5
new bb07195 Make common a module
new 37bfa7e Add common as a module to install in setup
new d5944a7 arffreader can now parse all numeric data of UCI :)
new a05ec04 Catch error while parsing arff file, and raise ParseError for expected problems
new f7126a4 Cleaning a bit the arffreader module
new 6e52abe Add a small java program to parse arff using weka (meant to be used for testing our arff implementation)
new fe9bbcc Abstract away all meta data returned in user functions into a MetaData class
new 759f9c8 Add scripts for quick and dirty test from java
new 1b20d36 Adding dataset proposal
new 309f465 Added misc to setup.py
new a82765a added a data set with missing entries.
new a4a13db Added the narr module to load NCEP NARR data sets (reanalysis of around 190 variables). Depends on pydap.
new 46c619e First manifold_learning_toolkit commit : not everything may work
new ea98ad4 Small update for the dimensionality reduction folder
new fe226ff Small argument mistake
new 52c89b0 Some bug fixes, some name changes, ...
new 0203715 Remove fake pyem package.
new e846b09 Remove the arff reader: an improved version is available in scipy.io, under the name loadarff.
new f3d88c8 Added some missing files
new a2a7473 Added a simple compression example
new 2b5d2b1 Fixed some additional arguments and modules issues
new 4a9cc47 Remove pyem from setup.py
new 16f7762 Changed neighbo(o)rs name
new 1ae5026 Fixed some extensions bugs
new 7812eeb Disable manifold learning, because it does not build.
new 9be9fc7 Updates
new 9db3bb6 Setup.py should be more robust now
new 9200b4f Updated the classes according to the online tutorial
new 34a2a8a Small correction
new 6277087 refs #60: for gcc < 4.1, SFINAE seems to be bogus, so iteration copies are deactivated by a macro.
new 4f88104 Rename NumpyTestCase to TestCase.
new 2f77054 Remove path madness, which is deprecated anyway.
new d40909b Do not use set_package_path anymore in machine.em tests.
new 8200553 Fix typos in tests.
new f00ae30 Remove deprecated test runned for em machine.
new 0346cd4 Add online_gmm_em method.
new 6bd7120 Add compute factor.
new 70def2e Start working on em2, an backward incompatible, more scalable rewrite of em.
new 3a89497 Start working on new GM class.
new ca6a571 Be consistent between w and weights.
new 3c603cd Add changelog.
new 630b576 Add a README for em2.
new 96a990c Trailing spaces.
new d09869e Add logsumexp wrapper around cython implementation.
new f58c20a Implement logsumexp in cython.
new 7c3f4aa implement pdf method for GM
new bca18a6 Implement pdf for GM.
new bada733 Do not execute example statements at import time.
new 77016cb Implement sample method for GM.
new 7762b60 Postpone learn import.
new cc22ebb Add a GMM class.
new c9c862a Add test code.
new 9ff9132 Start experimenting with accumulate API for EM.
new 421c06a Add kmeans-based init for w, mu, va.
new 5f5b380 Start EM imp.
new ec79c06 1e-15 too stringent.
new 649dead Remove GMM class.
new 527df19 Use new classes for new EM.
new efd49f2 Whitespace.
new 9a740ce Add em2 to learn scikits.
new 3dd6ea5 Implement one component likelihood function.
new 8a235ac Add (buggy) cython implementation for one comp likelihood function.
new b9eb69b Add tests for logsumexp and mnormalik.
new 154d234 Add basic test for EM.
new ad5990a Update README.
new ae436f9 Remote hint parameter from EM ctor.
new 18bd1e0 Fix utils subpackage __init__; used old numpy testing framework.
new 183671f Raise exception in normalik, since it is buggy.
new 83f306e Fix import.
new 5abce80 Add test for logresp.
new 32c2415 Revert "Raise exception in normalik, since it is buggy."
new 0fad29c Make a frame per frame inline logsumexp to reuse it.
new 8924c97 Use a frame/frame inline quadform to reuse it.
new 4114f07 More tests for logresp (python version).
new 5baa817 Start working on cython version of logresp.
new efd31fb Split tests for logresp python vs cython.
new 8784f21 cython logresp now works.
new 78ae432 Rename methods of the Scaler class.
new c77d320 Do not install em2 by default, not mature enough yet.
new 61bc9aa Moved from old openopt to the new optimization scikit
new 45a4032 Deleted Boost dependency (should OK now)
new 70663e9 BUG: port em tests to new numpy >= 1.2 infrastructure.
new bf790ab Added README file.
new 85c4c9b Use nosetest for testing.
new f2c190a Disable test for this dataset
new 33fd417 Add .gitignore
new 100202b affread is now part of scipy.io.arff
new 8e5e7ed Add __init__.py file to the test module.
new 89140d8 Fix import paths in manifold_learning.*
new 9cd44a0 Remove old testing framework
new cdf45a1 Web page sphinx infrastructure.
new 1c53013 Update README file.
new 93735fe Fix: Add std namespace in order to use std::isnan.
new 8a2de05 Build extensions inplace.
new c2a527b Update README
new abc71c9 Added COPYING file with the license terms.
new 78e424b MISC: Cosmetic changes in the rst formatting of the README
new e6fb4b2 Update README.
new a7f3ab2 Use unittest.TestCase instead of numpy.testing.TestCase.
new 85ae94f Added funding orgs to web/funding.rst
new 564651c Add warning to web page.
new 215868f Add example to Neighbors.kneighbors in machine.manifold_learning.neighbors
new ac81348 Revert commit 229 (inclusion of namespace std in ModifiedGeneralClustering.h)
new 362fe46 Initial import of rst docs.
new 1b462c7 Docstring fixes.
new 43238e5 Fix typo in class name.
new 61cd53e Remove old testing framework.
new 4f9eed2 Update README.
new a53469a Update distutils info.
new de98912 Move examples to a common place.
new 75e331d Remove deprecated path hack.
new 9165acf Enabling test_speed.
new fad3396 Neighbors refactoring, predict method added.
new 878afb2 Update examples and move them to a common place.
new bf01dba Update README. Specify dependencies more clearly.
new 4378441 Remove old testing framework.
new 916a939 Remove rendundant file extension in numpy.ctypeslib.load_library().
new f6d5ada Fix doctests in Neighbors.
new f9c2d4f Move (and update) documentation for em module.
new 81be8f7 Sphinx extensions.
new 558cca0 Add ReST docs.
new 2c08d5a Delete module manifold_learning.regression.neighbors.utilities
new f035b0f Fix functions that depend on Neighbors.
new 5506171 Add AUTHORS file
new 3a505a7 Update web page.
new 00ee445 Change location of header files.
new 2d539db Fix typos in setup.py.
new 501bdaa Add needed files from numpy.testing.
new 6b82d6d Remove genetic algorithms.
new 734a7f7 Remove references to deleted classes.
new 4315b69 Cosmetic cleanup of setup.py.
new 8802ddc Use KDTree from scipy.spatial in Nearest Neighbors.
new 0851752 Add tests for Nearest Neighbor Algorithm.
new 4c60fb5 Update KNN examples.
new ccccfd0 Add a MANIFEST.in file.
new bddd02a Remove C header file for neighbors.
new 93f28a0 Fix relative imports in manifold_learning/regression/tests.
new 9dd5d28 Fix bug in barycenters.
new f11ec15 Fix imports of scikits.optimization.
new a515b51 API changes for Neighbors broke some tests.
new 179921f Fix bug in knn example.
new 6f97956 Deleted MANIFEST.in
new c15e8ed Fix typo in web page.
new ac02741 Clean some setup.py files.
new f209999 Deleted common/myfunctools.py.
new 8ab0e8f Refactor test_neighbors.
new e6989ef 0.1 beta release
new da93d78 Remove references to deleted submodule common/
new bb252af Added docstring to cost_function module.
new a58432e Fix path in examples/projection.py.
new b91f84b Fix classification example in machine.svm.
new 9309f53 Remove sciktis.optimization as explicit dependece from setup.py.
new 04b256b Remove em2 module.
new 7171d37 Remove tests that depend on weka.
new fca4eb0 Update README.
new d1e8269 Fix import of libsvm in tests.
new dcd50b4 Fix: some distutils cleaning and import fixing.
new 2a1b83d Building the modules inplace broke installation of binary modules.
new 979c04c Fix parzen method in Neighbors.
new 8ff9fc8 0.1 Release
new b517458 Update README with Sourceforge download section.
new 1a373fe Remove machine prefix from namespace.
new 24efb57 Fix import paths that where broken in last commit.
new 04595f7 Fix typo in numpydoc (sphinx extension).
new d1177d8 Updated docs to reflect the new namespace structure.
new c7424f6 Some disutils cleanup and bug fixing.
new 1fc649f Update neighbors module.
new a2358b2 Delete old neighbors module.
new 6ffc89e Fix typo in setup.py
new c07d790 Start of 0.2 development cycle.
new 244dcc5 Update setup.py to reflect neighbors new location.
new 677c6fb test: added my name to AUTHORS
new 09f649d Remove redundant imports of cost_function
new c2713a3 Do not compile modules that depend on boost by default.
new 9e1a5b7 New faithful dataset.
new f1e5c48 Datasets refactoring.
new a499830 Import dap.client only locally.
new d489d0f Remove redundant info from project's setup.py
new a35fe1c Fix typo in README
new 3336b99 Delete web page, we will use the doc as webpage.
new 46adad5 New bindings for libsvm.
new fcc11d2 Neighbors module refactoring.
new d122751 first attempt to handle standardization of data in SVM
new 1a1658a Plotting sample for svm.
new 9ae3b4f Delete old examples.
new 80c58df Add support for latex equations in sphinx.
new 7b611ca Update contribute section.
new 4c1f024 Add sourceforge download area to install info.
new 62e482e Preliminary rst doc for svm.
new af0f229 Fix: do not scale by default in SVM.
new 40eefbc added unisvaraiet selection. untested
new 897074f First commit of bayes methods
new 7ab28cd bootstrapping lasso implementation with coordinate descent
new 2d9b9af Tests should not be executable (or nose will complain)
new f43e97d Add convergenve threshold
new 3398eab adding myself to authors list
new abe6351 Doc and corrections for ridge_regression
new 032c14d some progress on feature selection: Ftest OK
new 0dc79e2 Clean bayes code.
new 43e9e18 add the log-likelihood to the ridge regression function.
new 2b0e079 first trial with svm. Does not work yet
new 6e0358a adding missing init file
new 4c29de1 remove empty dir
new 6b937e9 Add samples_generator folder for simulated data
new 8b6b770f6 Move samples_generator to datasets
new bb683ef Bayes classifier object.
new 04fee4e bug fix in Lasso with coordinate descent
new f04fd1f renaming lasso.py to cd.py
new d287ddc renaming in cd.py
new b07e7c2 cosmit + module docstring
new 87105f2 ENH: Implement the feature selection the simplest way.
new 68291e5 first test for coordinate descent lasso
new fae9cab adding support for elastic-net with coodinate descent
new 8e2649a adding test for ElasticNet
new 750f06e Fix linear and add test for ridge
new 95a8d47 make sample_generator a package
new 55b0f03 cosmit
new 60d0456 add comment in test
new 984f563 cosmit + docstrings
new cb133fa adding implementation of ridge regression + test
new 1265dc1 docstring for enet_dual_gab
new c59b10a DOC: Add an example of feature selection.
new 2694fe4 Put fast_logdet into utils.
new 60ddea6 added the tests for univariate selection
new 010d7b5 bayesian regression with ARD priors
new fd06977 adding paths for Lasso and ElasticNet + test
new 1d5c6a7 a small fix in univariate selection
new f15ab79 test that the L1 and ElasticNet prior actually induce sparsity
new 714a5ef addind Lasso + ElasticNet example
new 58e3af8 cosmit
new 4cda9c0 cosmit + docstring
new 638d6bf Fix ARD and add the log-likelihood
new 35643d2 Fix import bug
new 6458d08 cleaning Lasso + ElasticNet example
new 9e0bc0c cosmit
new a7cb941 draft of documentation for GLM
new 225196c minor fix of imports and plot
new c5fd678 temptative commit--deletion of feature-select messed up things
new 0c25ea6 Bayes return objects
new 6e27673 did the svn move manually
new 541f65b added a test to compare with stat_model
new 888e49b use npy_intp instead of int
new e7d86c7 add util method for Leave One Out crossvalidation
new e8d3632 add split method in LOO
new 2dce140 adding missing svn keywords
new fb5bfea Correct API and nose tests for Linear Regression (Noprior, Ridge and ARD)
new b2f4fc8 ENH/API: Rewrite the leave one out to use a generator.
new 19724be svn 64 bit fixes
new d3f27bd revert unintended changes
new b7f18cc DOC: Beautify the lasso coordinate example and documentation.
new e9a5506 Some docs and examples - move bayes.bayes to bayes.regression
new 473bf33 updated cross-validation
new 87150fc cosmit on bayes
new 81828fb cosmit on crossval
new 3adc669 Add nonlinear samples generator
new c2dd8e7 Cosmit
new ae6f559 work in progress on callback system during fitting (not used yet)
new 7c75370 Type changes in libsvm bindings.
new 1ebb534 minor fix
new e8a6772 Remove empty directories
new 50da323 leveraging the new callback feature for GLM to implement early stopping based on duality gab
new 78f2392 typo
new e5550f7 typo
new 116c7be give default values for alpha and beta and check that duality gap never increases for early stopping check
new 5854321 Implement copy of parameters from svm (python) object to libsvm.
new 365ce02 Refactor plot_svm examples.
new 2e8b74d Fix cython extension to work on 64 bit
new 5082699 Change __repr__ for classes
new 650679a Cosmit : add some __repr__ for classifiers classes. Perhaps a more standard API should be implemented for this... This is a temporary fix.
new 196251b Enhacement: Performance improvements for libsvm_helper.c
new c6a2621 Flat is better than nested
new b1e7e1d Add Olivier Grisel to the AUTHORS file.
new 03954da Rename of SVM classes.
new 6a1f4be Remove unused imports in svm's benchmarks
new ef9bbfe Update examples with new API changes.
new 677d231 Remove redundant info in libsvm_helper.c
new 66c4b5d Update docstrings in svm module.
new 567f766 Remove unused imports from cython files in glm/
new a19b92b Add the Lemma of Matrix inversion
new 6bc18b1 Refactoring of the glm module.
new 8de51b7 Refactoring of the bayes module.
new d549a60 Add and update documentation for linear regression
new 9afe339 Implement new dataset.
new 3aab715 Fix performance issues in bayesian ridge regression.
new 35e6a87 Update examples to reflect new dataset
new dd998ff Move Bayesian Ridge Regression to module linreg.
new 486dc51 Move remaining code in bayes to linreg.
new 524b80d Remove empty directories
new 6f7c396 Remove empty directories
new 1b754e0 Remove empty directories (yes, another one)
new 7df0e83 Remove empty directory ...
new 3ee4403 Remove empty directories (the last one, I hope)
new a7ada5b Flat is better than nested.
new f1cac6f Remove empty directories
new 97aeb8d Refactor svm model.
new e7cb8e8 Add tests for linreg.Ridge.
new f26dc0d Add some doc for the svm module.
new b806b12 SVM refactoring
new d5a0905 Remove nonexistant directories.
new 35e12c2 - bug fix in stop criterion of Elastic-Net - rewriting callback system to handle objective value computation and density. It is designed to be usable by other iteration procedures such as proximal based optimization schemes.
new 7f4bb30 revert commit linreg -> glm (GLM works for models where the predicted value is a linear funcition of the data such as least squares, lasso or logistic regression)
new 6ffed3e moving GLM cython code to src folder
new 54551c0 renaming cd.py to coordinate_descent.py
new c7d85c5 renaming cd.py to coordinate_descent.py in example
new 41158da Welcome Vincent.
new ad9d5a9 Documentation for the svm module.
new 8b53b61 Cosmetic fixes.
new 2c6e37e update Iris dataset
new 75842de Fix memory leaks.
new 529305e tests for svm
new 0dd4fdc svm
new ce49941 Fix segfaults in the case of SVR, OneClass.
new 59e8ccf Some dosctring and cosmetic changes to module svm
new abca47f cosmetic changes to svm module.
new 3faffbb Add svm example.
new d973250 speed improvement in coordinate descent methods
new 538917c Fix bug when target vector dtype != int.
new 96ed447 Add neighbors example
new 0b3bee7 neighbors squash
new d01f64d Dataset refactoring.
new 706b8bc Cometic commit, svm module
new bb5ce9f Beautify the svn example (colors where ugly!)
new 7dc5f07 Documentation update.
new 3ef4274 Add another svm example.
new eebb4dd Put images in a directory in doc.
new b3f4268 Documentation update.
new f7b9686 More doc for the svm module.
new f0ce49f Fix spelling errors in svm doc.
new fae7bf3 Mark Ann module as deprecated.
new 2704a3f Fix memory leaks in the svm bindings.
new 82e5b47 Update benchmarks
new fc4cf73 Update Neighbors module.
new 444aabf Remove unused functions from svm module.
new 98d0a18 Add module glm to parent's setup.py
new 17d2127 Fix failing tests.
new 9be51b4 Fix distutils issues.
new 66c7a14 Cosmetic changes
new ab036da Fix some docstring failures in crossval
new 0327126 Fix some docstring failures in svm
new 9b55904 Comment failing doctests.
new 538bad1 Remove failing doctests.
new b137987 Fix doctest in neighbors module.
new 1a82f5b Fix doctests.
new 8fe9b70 Update feature_selection.
new 6186117 fix doctest issue in crossval (issue #34)
new 73dc673 Add small script to run all the examples.
new 29361a3 Add missing directories to distutils
new fcea442 Do not run examples from tests in module em.
new aadac42 remove iris as python package (it is now just a data directory)
new 8d6bd0b Removed test for em/tests/test_densities.py
new 07262da ooops, I deleted too much in last commit.
new 0e1faaf 0.2-beta release.
new a5979a5 Add .mailmap file for nice git log messages :-)
new 9927ab0 Fix image location in doc.
new a40d325 0.2 release
new 50c47e3 Start 0.3 development cycle
new 24473d3 Fix a bug when using an estimator in UnivSelection. x[self.support_] -> x[:,self.support_]
new 8ad16aa Add a function for crossval : leave-one-label-out
new 574f2b6 fix doctest in crossval
new 9cbb1c9 MISC: Safety commit
new db67917 Fix import path in BallTree benchmarks
new 3133469 Add another balltree benchmark, this time with plot interface.
new 2a5eee8 Add a test for OneClassSVN.
new 8919fa8 BUG: fix for ticket 39: selecting 100% should now select 100%.
new 929bcd8 MISC: Set svn ignores.
new 8060c02 DOC: Improve the feature selection example.
new f77d9b7 adding UnivSelect object in univ_selection to by pass the use of predictor object. The UnivSelect implements fit + reduce rather than fit + predict
new c0a5810 fix univ_selection test
new ff91a6d Fix docstring for svm.SVC
new 4dd2ea8 Added svnauthors file
new c018036 adding leave_p_out in crossval.py
new dcda191 DOC: minor spelling mistakes (just to check upload rights and my login)
new 38782ac adding myself to svnauthors
new 25b4b81 Remove mailmap file
new e1a519d Add feature_selection to setup.py
new 89bf5d1 Remove empty directories
new 99dda61 allowing Lasso CD + Elastic-Net CD to pickle
new 28d6893 DOC: extending README with information about GIT Mirror
new 8632266 DOC: minor changes in README in regard to use of git-svn
new e76786e NF: initial Debian packaging skeleton
new 866a79f BF: little fixes around
new b21b077 more thorow cleaning, excluding manifold from unittest, unittest before moving libraries
new 30446f7 various fixes thanks to lintian
new c19fe9b First ever package by me to adhere to dkg-source 3.0 (quilt) format.
new b5e024c Remove old datasets.
new 1d3da21 ENH: remove scikits/__init__.py upon installation
new 69d1b08 adding LDA implementation with test + example
new 98ed29f adding "proba_predict" method in LDA (should be done for SVC too)
new 1d9e0aa BF: adding build-dep on python-setuptools
new d305742 BUG: removing evil tab
new 5bef3e8 BUG: removing add_subpackage for deprecated datasets
new d52dd78 BF: remove generated datasets/__config__.py upon clean:
new aa50e11 BF: jquery link is relevant for -doc
new 735b499 BF: adding copyright on sphinxext
new a9f7b23 working on dh version of packaging
new 37b6c95 adding documentation to be installed
new d795f6a might to be complete dh setup
new 3f21e63 adjustments to debian/control -- cython, descriptions
new cf5db96 BF: avoiding nested examples directory
new 118629b BF: add scipy to build-dep due to unittests
new ad7a81f RF: build Cython code during build time
new a4cbe5d RF: removing Cythoned C code
new 918a6b2 RF: removing obsolete .pxd files
new dafaa9a BUG: correct import within test_densities.py
new 7752c90 RF: use assertEqual to compare str(e) instead of a print (could simply be assertRaises)
new d754995 updating changelog for the release
new 2ae3497 BF: pruning forgotten cdbs build-dep
new a5087aa Remove empty directories
new 0c969d1 Revert "RF: build Cython code during build time"
new 4a44ada Revert "RF: removing Cythoned C code"
new e6f424e Preliminary sphinx example generation
new 5e692c7 Add directory for auto-generated examples.
new e6d2075 More on auto-generated examples
new 1f8984c Temporary hack to generate the examples.
new c0695e8 Generate examples dinamically.
new 38864c8 Update documentation.
new f82b562 Cosmetic changes to gen_rst
new d7cdd0c Fix typos in examples.
new c3d5d96 Add Gaussian Naive Bayes classifier
new 6fa7e06 fix docstring test in Neighbors class
new 374c800 cosmit in naive_bayes.py
new 46d72d1 cosmit in lda renaming method proba_predict to predict_proba for consistency with GNB
new 1a9a8e4 DOC: Small changes to the documentation building to be able to references examples and to be able to download the source code of the examples.
new 331516b DOC: Sprucing up the documentation.
new 173611d BUG/DOC Correcting bugs in the documentation generation code.
new 1df1839 Workaround for proxy problems.
new fb816b3 DOC: Adding plotting to feature selection, in 2 times to work around proxy problems (lousy youth hotel in Rotterdam :>)
new f81cc2a DOC: howto upload generated doc to sf.
new 49148f3 Update README
new e64bd21 MISC: Cosmetic commit: lines longer than 80 chars.
new 2993bec Preliminary Logistic regression classification using liblinear.
new 1bd4045 Implent L1-penalized Logistic Regression.
new 44a5f99 Some bug fixes for liblinear bindings.
new 6793924 BUG: More bug fixing around liblinear bindings.
new 6f8a9d8 ENH: Manage special case of 2 classes in LogisticRegression.
new 1c2aa64 ENH: Refactor the datasets to add the digits standard dataset.
new 2e49fbe MISC: Cosmit (cosmetic commit): s/label/labels, because it is a list.
new dde6f2a BUG: Proper description for digit dataset.
new 6abff58 Preliminary libsvm support of probability predict.
new 13418b8 Preliminary support for probability estimate in SVM.
new 422de5f Turn off probability estimates by default.
new c0eb7aa Implement a test for SVC probability estimates.
new 75f0b44 Bug fixing in SVM predict probabilities.
new 1b85122 Use liblinear in SVM module when kernel is linear.
new 41ceead BUG: Fix bugs in liblinear bindings.
new 3f59299 BUG: Fix the digits datasets: wrong data loading.
new 661af63 MISC: Remove the checked-in generated documentation files from the version control.
new c02855e BUG: Correct bug in digits dataset loading introduced by previous checking.
new 7e8c34e correct typo
new 181e3de BUG: Make sure the docs build even if the directories do not exist.
new d7c07ab ENH/DOC: Add an example doing classification on digits.
new c0fee47 Remove liblinear-related code from SVC.
new 6c0e3aa DOC: Update docs README to use rsync and try to be careful about the permissions.
new 4605098 Implement LibSVC class for liblinear bindings.
new f968487 Implement probability predict in Logistic and LinearSVC
new 5d06eff Implement probability predict in the case of l1-logistic regression.
new 46823a3 DOC: Specify git repo in development section.
new bb50c1a Remove empty directories
new 8303ec0 Fix compatibity issues of bindings in 64bit.
new 03c55c4 Always use np.float64 for compatibility.
new 0bd5615 ENH: Make it possible for SVM.predict to work on a single sample.
new d09d617 DOC: Improve the example docstrings.
new 4e7ef58 DOC: Work on the front page.
new 6d1c9f6 uniforming the access to the primal variables (the "w") with a "coef_" property in the lasso and enet coordinate methods.
new 18d20ab SVM : renaming coef_ to dual_coef_ in SVM and uniformisation of coef_ property between SVC with linear kernel and LinearSVC
new 6f6060b Logistic : adding properties to get access to coef_ and intercept_ coef_ is now a vector of size n_features (the intercept is left out)
new ecb8672 Improve front page
new 2d43c4d DOC: Some work on the beginning of the doc.
new b1c363a s/n_features/n_samples/ in digits example
new 90eb5b7 add some print statements to monitor lasso/enet progress and tweaks parameters to make it faster to run
new 7cb4c28 Use syste-wide BLAS libraries if available.
new 1559654 Update svm benchmarks
new 2df46b2 improve computation of coef_ in SVC
new 6cd3ab0 DOC/MISC: correct docstring on digits loading code.
new 7c2434c adding doc to LogisticRegression class
new 4827353 update in doc for LogisticRegression
new 1e45cc1 introducing intercept_ in SVM (from libsvm) intercept_ == - rho_ for consistency with liblinear outputs
new a00f908 adding example to view posterior class probabilities when using LogisticRegression or SVC
new a9a5003 adding example that illustrates that L1 penalty leads to sparse estimates of coef_
new 47110f0 DOC: Adapt the getting started tutorial to complete beginners.
new 7b45bd9 DOC: Moving the em examples. Doing this in two times, to avoid what looks like bugs in the svn sourceforge serve.
new e5c769d DOC: Moving the em examples, step 2.
new 1896240 DOC: Rework of the docs and examples: multiple commits because commits with 'mv' fail.
new fe36e69 DOC: Moving SVM examples in a separate folder, step 1.
new 03c7d92 DOC: Moving examples in a separate directory, final commit (hopefully)
new 564495a adding docstring to LinearSVC and test to make sure the coef_ and intercept_ returned by SVC and LinearSVC are the same.
new 79f16a0 MISC: Typo.
new 69905bb Fix typo in setup.py
new 1caffe8 Fix a bug in the computation of the log lokelihood
new 5cb5512 Add coef_ to SVR.
new 117faf6 adding predict_proba method in UnivSelection class
new 449cc00 Refactoring on the svm module.
new 71d58fb ii
new 466bfd2 Add more tests to test_svm.py
new 477aa3e Add the option to link against system-wide libsvm by editing site.cfg
new eb34e43 Remove unused inports from lasso_cd
new bd8f100 Add logos (in svg and bmp format)
new 5e3a7e0 Remove examples from module glm.coordinate_descent.
new 88ce154 FIX: Compatibility Visual Studio
new f3af695 FIX: Fix a bug that caused segfault when intercept=False on classes that call liblinear.
new 5201738 Do not execute tests in degenerate cases.
new 675e90e 0.3 Beta release
new e23ea16 Add download link to main web page.
new 9d0fc56 ENH: add docstrings to module svm
new 4125b93 Remove scikits.optimization as requirement.
new 8a4bc2f 0.3 release
new a3cca44 Start of 0.4 development cycle.
new 7198eba Update information relative to git repo in README
new 37003c2 Merge branches 'master' and 'master' of git://github.com/yarikoptic/scikit-learn
new 6710890 Merge branches 'master' and 'master' of git://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 831d914 typo
new 93b54e4 NF: adding a patch to site.cfg to use system libraries
new 91f6d47 additional build-depends
new 8d29334 build docs after modules
new b75858e changelog entry
new 8216797 depend on unversioned libboost-dev
new 7a09a46 .gitignore: vim power! + generated __config__.py and build
new 3392829 Typo in README.
new ba39488 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new f4401db Refactor lasso coordinate descent code.
new 6e21b1c More work on coordinate descent
new e45a40d more work
new 7aa056a more work.
new 39ba311 more work
new 38d9be6 Merge branches 'master' and 'master' of ssh://ogrisel@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new e98f230 rename README to README.rst so that it looks nice on github
new de9e866 finally working
new dc579a4 Update repository location in documentation.
new 89921b2 more
new 41f3256 More on updating the doc.
new d7fcc72 Add also a link to the repo via ssh
new b30abe7 ENH/API: Change the cross-validation utilities from generators to objects that expose an iterator. Also, move the module from utils.crossval to cross_val.
new 0840398 MISC: Rename *_indexes to *_indices in cross_val.
new 6557471 more on coordinate descent
new 847a507 Merge branch 'coordinate_descent_2' of http://github.com/fseoane/scikit-learn
new d4c6f8c Fix broken setup.py in datasets.
new ec364fe Refactor lasso coordinate descent code.
new 0189d36 Merge branch 'coordinate_descent_3' of http://github.com/fseoane/scikit-learn into HEAD
new 60fd1f4 Add test directory to setup.py and update dependencies on README.
new e7cf7e7 changing interface of lasso + enet for consistency with GLMNET
new 47eef9a Updates and fixes for the svm documentation.
new 72d51be bug fix in coordinate descent for GLMNET
new 88e9d3a Refactor lasso coordinate descent code.
new c641642 include the cython generated C code for cd_fast
new 1e68aac changing interface of lasso + enet for consistency with GLMNET
new dbc2eaf bug fix in coordinate descent for GLMNET
new d45285f Merge branches 'master' and 'master' of ssh://ogrisel@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 6777523 Merge branch 'coordinate_descent_4' of http://github.com/fseoane/scikit-learn into coordinate_descent_4
new 8c54eda fixed tests
new 4c700ce PEP8 is beautiful
new 05499ca Update references to the svn in the docs.
new 66016e8 Implement predict_margin in classes that wrap libsvm.
new 60491b4 Remove references to svn repo.
new 4a96ecf Refactor lasso coordinate descent code.
new 3c46620 include the cython generated C code for cd_fast
new fecc1dd changing interface of lasso + enet for consistency with GLMNET
new 6d37c66 bug fix in coordinate descent for GLMNET
new 5c82f77 yet another attempt at early stopping with regularization path on LASSO + CD
new 4576ff6 note for later
new ddbb875 ENH: documentation for coordinate_descent
new e783e38 merging from master
new 414aa79 ENH to LassoPath: cleaner, shorter code and storing path is now optional
new 07fa138 Merge branch 'master' of ssh://ogrisel@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new b23bf71 Merge branch 'master' into ticket-51-cd-early-stopping_2
new c081c4b removing wrongully added conflict markers
new 3dab5a1 make fit work on python tuples and lists
new 8b95406 spare one local variable
new 8a0df7a oriented programming magic to factorize common logic between Lasso and Elastic Net
new f3627c5 some tests for the elastic net path-based solver
new 0325be3 minor changes in descriptions
new d498e80 Setting both HOME and MPLCONFIGDIR while building documentation (slipped through fingers somehow) (Close: #580727).
new c7208c1 Merge branch 'debian' into debian-release0.3
new f4b1d21 Set HOME and MPLCONFIGDIR while unittesting as well (Closes: #580727)
new 47890ac Merge branch 'debian' into debian-release0.3
new b570e28 merge origin
new c5000c4 refactoring to avoid writing model_params in path object construction
new 1be2188 removing unnecessary imports
new a676ee6 adding __str__ method in LinearModel. adding examples for lasso + elastic + path with crossval. adding computation of explained variance (ie. r^2). disabling early stopping in paths as it turns out on an example that it tends to stop the computation too early
new 265c6ec bug fix in elastic-net dual gap computation
new cc91603 fix docstring test in cross_val LeaveOneLabelOut
new 5c7200e adding __str__ method in LinearModel. adding examples for lasso + elastic + path with crossval. adding computation of explained variance (ie. r^2). disabling early stopping in paths as it turns out on an example that it tends to stop the computation too early
new 020ff44 Add generated cython code for cd_fast.
new cb6a56f Implement predict_margin in classes that wrap libsvm.
new aa73508 Add tests for predict_margin.
new 591c2f6 BF: enforce little-endian byte order for loadmat call in test_gmm_em (Closes: #580879)
new 6f42e64 Disabling test_gmm_em unittests while building (Closes: #580879). Actual reason for failing tests lies within NumPy -- see #581043, which should be fixed there, but should not prevent building of this package atm.
new b573fc0 Merge branch 'debian' into debian-release0.3
new 57cdf8d BUG: fix bug in tutorial
new f642719 Add support for precomputed kernel.
new 2849920 BUG: fix bug in automatic doc generator.
new bf3e14a Update doc.
new a777d4a Update test after solved bug in elastic net path.
new 4beb08c adding possibility to recover the length ie the number of folds of a cross-validation object
new ad0ad0f calculate likelihood of the GMM model in the log dimension
new 0276741 API: Remove the obsolate attrselect.py module.
new 6f38737 A bit of documentation on svm precomputed kernels.
new de88b27 Welcome Chris.
new 4f8991c Update docstrings in svm module.
new 8143abb Add a complete example of SVM classifier using a precomputed kernel.
new 278a05f Update examples.
new ea74be3 Give appropriate substitutes for modules not in python 2.5.
new 2475c22 Updates for the doc.
new 5ffb29c More documentation from BallTree object into sphinx documentation system.
new 4b08a2c Add some notes on how to run the development version.
new 6bf88a5 Remove svn_ignores
new 354bd20 Welcome Angel Soler.
new a02233d fix typo
new f0307ed Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 59df5be ENH: adding possibility to compute confusion matrix
new 2d23dc2 ENH: adding possibility to compute ROC curve
new a647fb4 ENH: adding possibility to compute precision-recall curve
new 8ac9d24 fix name conflict issue with stdlib math module
new e152106 moving ROC etc. to metrics.py adding tests for metrics.py adding examples for ROC, AUC, precision recall, confusion matrix
new 04333d0 Adding myself into AUTHORS and fixing up atypo
new f1c3915 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new f008ebe cleaning up my mess...
new 67338d0 Fixes in Ordinary Least Squares (glm module)
new 20006d0 Refactoring: Squash samples_generator module into one file.
new 18f2b9f More docstrings for module glm.regression.
new 0462355 Add an optional argument intercept to Ordinary Least Squares.
new 1c82d45 Remove outdated script.
new d3ce932 Fix broken link in rst feature_selection.
new edbe976 adding references to wikipedia pages in metrics.py
new cc5d7de Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 06ef709 Remove unused parameters from objects that depend on libsvm and liblinear.
new 37e7d69 Removed unused doc.
new 738a2fb DOC: more documentation for svm
new e9c71c9 Implement class weights in classes that query libsvm.
new 6d5f102 Fix imports in glm test
new 349b4bf Cometic: Change name of weights parameter in Libsvm.fit
new 73079dc Simplify example svm_hyperplane
new 6fcffc3 Add an exmple of svm using weighted classes
new 1a52195 Rename plotted examples.
new 5771ac4 DOC: fixes and enhacements for the docs.
new c20ad73 Add title to examples
new 9ab8276 FIX: fixes in svm predict_proba
new 46e17e2 updating ROC example and adding an ROC example with cross-validation
new 0e911c8 BUG: fix in precision recall example
new 662501b BUG: fix in test metrics
new 2f4844c Cosmetic changes to the svm tests.
new 990bad7 make the LogisticRegression fit return the classifier instance for chained calls
new 8725a89 make the LinearSVC fit return the classifier instance for chained calls
new 6797b3d make loss and penalty notation casing consistent accross scikit.learn (LinearSVC and LogisticRegression)
new 1d3754b merge master heads
new 158cda2 cleanup conflict marker leftover in test_svm.py docstring
new 4fe5e40 FIX: make the window_size parameter taken into account in the BallTree implementation of KNN
new c77a7a7 Add intercept to classes Lasso and ElasticNet
new 29b4faa Cosmetic changes in SVM doc.
new d107671 Merge branch 'master' of /Volumes/DAVID/scikit-learn
new 2f34950 BUG - LDA, separate out "priors" possibly estimated from the ones specified in constructor
new 1386a22 extending LDA unittest to catch issue fixed with previous commit + 1 more (just in case)
new 5517e09 pylint friendliness -- spaces before commas, use warnings, etc
new 3d6e835 Initial import of Ron Weiss' gmm module.
new f326a8b Add intercept to classes Lasso and ElasticNet
new 360c4d7 Cosmetic changes in SVM doc.
new a7b77e6 Fix failing tests because of added intercept.
new 3b211b5 Remove property _ndim (replaced with field ndim) in gmm
new db526d2 Rename train --> fit in gmm
new 531e111 Welcome Ron Weiss.
new e34e541 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 71962a0 Some docs on contributing to the project.
new 851e95c API: changing the way the parameters of Lasso+E-Net are optimized
new d76ecb8 ENH : imroving documentation of lasso + enet paths function
new e25782a API: changing the way the parameters of Lasso+E-Net are optimized
new 03a5c15 ENH : imroving documentation of lasso + enet paths function
new 8ac14a0 Doc and cosmetic changes in coordinate_descent.
new b3b1fee Refactoring: squash glm module in a single file.
new b85d91c Initial import of LAR algorithm.
new f873b18 Fix blas build for liblinear when no system-wide blas is found.
new 229542d LARS test clean-up
new 1657eca fix module path in pickled samples for manifold learning
new c1ce73c Add .mailmap file.
new ea7c8ec Fixes for LARS algrithm.
new 28c57f7 Refactoring in glm module.
new d8fc705 Remove logging from gmm module.
new c45e7d9 Add disclaimer and some comments to gmm module.
new 2a03d3b Refactoring in gmm module.
new ab705b6 Update API docs.
new bf762ce Update contribute doc.
new 725a93b Update doc in glm module.
new 7e410ec add note for IRC chan
new 9a56bc1 Some fixes for LARS
new e4191a5 Removing code in __main__ for univ_selection
new 9cbd1cd Fixes for LARS algorithm.
new dea2b85 Remove duplicated files.
new b0dea39 Add compute values of lambdas in LeastAngle Path.
new a3e7959 Some fixes for LAR and added example.
new 022873c Cosmetic changes to LeastAngleRegression.
new 9a08fe3 Cosmetic changes in LAR.
new cbe1a91 Cosmit
new 8d35dd5 Enhance plot_classification_probability example.
new 3af8048 Merge branch 'master' of ssh://gvaroquaux@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 6ce25e0 Fix import path in examples.
new 035288d typos
new 3d36704 Beautify the SVM docs
new 47dbd45 Merge branch 'master' of ssh://gvaroquaux@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 17f7be4 More beautify
new e95bc43 Add the diabetes dataset and modify the LAR example.
new 01f728d LAR segfault fixes and cleanup.
new 5cb6042 Update benchmark to stay in sync with pymvpa developement.
new 86168f6 Typo in glm.
new 7705feb ENH: new univariate feature selection code
new 98138f6 cleaning plot_lar example
new c3a7e2d API: renaming LassoPath to LassoCV and ElasticNetPath to ElasticNetCV
new 8aea220 Fixes for lars.c to compile under Visual Studio.
new 9c0408a LeastAngleRegression fixes & refactoring.
new 5e78778 Call gc explicitly in the benchmarks to avoid unnecessary noise.
new 46f3faf Initial import of shortcuts module.
new f84bce9 Cleanup in LAR example
new d3e537f GMM refactoring.
new 7ada25a Example on plotting a gaussian mixture.
new d293c6f Remove manifold module.
new 3f8552d Update tests (fix broken tests on 64 bits).
new 6dddf51 Remove the shortcuts module.
new 47ef169 Rename libsvm --> _libsvm
new 3382ec2 Rename module BallTree -> ball_tree
new 30d5a4d Use np.allclose in gmm instead of custom functions.
new 75dbbfa better tests for LeastAngleRegression
new f155c32 New univariate feature selection.
new 74ceb89 Remove outdated doc.
new 3a4ecf2 Update doc with new gmm module.
new 02d0d0e Normalize in LAR fit
new 8d1ed42 FIX a test.
new e3a75ec test to reproduce issue 67 on LARS coef shape
new 40dcb58 Merge branch 'master' into issue-67-LARS-shape
new dfa60cd FIX: typo in setup.py
new a380be8 Add support function for computing the selected features.
new 03ea91a Rename C extension liblinear -> _liblinear
new 2740b6d Rename minilearn -> _minilearn
new c328ee1 More doc on contribute.
new 50d070d Add reference to mailing list in main page.
new 27d3900 Refactoring in the glm module.
new 6fe856c Add more tests for LeastAngleRegression.
new 0ff244c Small modification in the LARS algorithm.
new 0529f37 FIX: intercept in ElasticNet
new 784e1fe Use default values in lasso example.
new af0a717 GLM refactoring: put explained_variance_ as a public field.
new d2f88ad Some fixes to make it compile against MKL library.
new 2bac216 tracking changes from master
new a7843b9 follow API change in LARS
new 8936024 Updates on gmm example: cleanup.
new 3f5f7c0 Update example gmm.
new cc42768 Fix broken links in doc.
new 32f4c67 Add an example with probability distribution estimates using GMM.
new 1a17e79 Remove examples from deprecated modules.
new 60c047c Remove duplicate module univariate_selection.
new 6b05414 Remove old em module.
new 59db7f0 Initialize with a fixed seed tests in feature_select
new dca0ff8 Remove redundant seed generator.
new 69e22c7 Add docstring to UnivariateFilter.
new 53daf5e Comment out broken parts of the feature selection example that are broken.
new 742db04 Add a __version__ attribute.
new 54a4be5 Remove also auto-generated examples with make clean
new 860f009 Rename examples that do not plot results.
new 97a2ec2 Move glm examples to common directory.
new e356827 Remove benchmarking code from lasso example.
new a446edf Add title to example.
new d85c81d Remove code from roc plotting that was interfering with build system.
new 65d06f8 0.4 release.
new 9ded72a Start of 0.5 development cycle.
new 5b397fa Re-enable code that was removed for the release
new 8945d3d Cleanup gmm example. Removed unused modules.
new 23125ea Merge branch 'master' into issue-67-LARS-shape
new db687ec ENH : add LeavePLabelOut cross-validation generator
new f9a8a95 In LAR, normalize only non-zero columns.
new c3b3ea9 Add support in LAR for unnormalized columns.
new 3a59f74 LAR: add a test for zero coefficients.
new 8722352 Merge branch 'master' into issue-67-LARS-shape
new 3eb4f5a make sparse coding test pass
new b3887c5 ENH : adding support for mean-shift clustering with a flat kernel
new 18e8913 Merge commit '0.4' into debian-release
new 9493856 changelog: Fresh upstream release + under ND umbrella
new dc10cf7 adjusted patches/deb_use_system_libraries
new 95c2aa9 no boost library used any longer (removed from Build-Depends)
new f8508e5 oops - fixing up patch for site.cfg
new 31b2ebc accounting for rename of README to README.rst
new 9072aa5 Merge branch 'debian' into debian-release
new 42cec21 Cosmetic changes in glm module.
new c2145fb Add modules to top-level __init__.
new dc42419 more .gitignore
new 4449afd added hmm code from http://github.com/ronw/gm
new e25e75f Rename ninter --> n_iter in the API guidelines.
new 27aa259 removed logging, dependency on abc, and unnecessary imports
new c7a2791 added hmm unit tests
new 8272465 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 3e7af84 started work on document classification: bag of wordsw extraction and hashed tfidf
new fb297e6 some tests for the text features extractor
new 7759f8b checkpointing work in progress on MLComp dataset integration
new ea20d1c remove labels handling from vectorizer code
new cba81c1 more work on document classification dataset loader
new a50bc25 smaller default dim: faster to load by default, need experimental setting to find good tradeoff
new 6f6b2f8 make it easy to find the raw source document
new c9f1b61 better parameter ordering
new 434eed6 example usage of MLComp document classification datasets
new a45a01e use compiled re pattern
new 5d2a7fd small fixes
new 2f17c0a MISC: Make sure that the tests pass on numpy 1.2
new 5735f26 cleanup hmm module: made properties compatible with Python 2.5, etc.
new b10ad1c changed hmm.trainer usage: each hmm object must have a _default_trainer property which can be overridden by passing a different trainer into hmm.train()
new 26ca669 changed "train" -> "fit". Removed HMMGMM for now.
new c3d66b6 removed references to gmm.init() in gmm docstrings
new 3cb6f7a fixed random seed in hmm unittests
new 56dc4d7 removed init() method from hmm classes
new 55ea905 minor tweaks to make hmm.GaussianHMM look like gmm.GMM
new 429149e Merge branches 'master' and 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 70be452 fixed bug in HMM viterbi logprob
new 834aeba typos
new 4cc088d added MultinomialHMM, unit tests
new 96d8bee fixed *HMM.fit() to include *all* parameters by default
new 7b9ecbf removed ndim argument from gmm.rvs()
new 6a981e2 added validate_covars back to gmm.py
new b5f0228 added ndim property back to gmm to keep it consistent with HMM
new 95df2dc Merge branch 'hmm'
new 7948ad6 added support for HMMs with GMM emissions
new abe8330 Merge remote branch 'upstream/master'
new 41b0562 add the ability to use stop words for text classification, but does not improve accuracy hence not enabled by default
new b77a973 typo in comments
new d025a71 faster and better accuracy with hinge loss of doc classif example but not sparse anymore since l2 reg...
new fdfe084 ENH: making data contiguous in memory in coordinate descent
new 622ee91 ENH: adding affinity propagation algorithm moving clustering methods in clustering.py
new 152487e removing pl.show()
new 6e7a326 ENH: adding exception raising
new 1082fa4 Added description of input parameters in svm.SVC docstring
new 8cf4148 Add documentation to svm mdoule.
new 09ccaab FIX: bug in blas_opt detection.
new 1d117cc make the features package a first class citizen
new d672980 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new a22cbe2 Link against compiled cblas in case this is not in the system.
new e6a14c2 Bug fixing in setup.py
new 750f44e Apply changes made by Olivier.
new d404072 Merge branch 'master' of github.com:agramfort/scikit-learn
new a251463 using staticmethod rather than property
new 2bb1340 cosmit
new e788f11 setting array as fortran in lasso + enet coordinate descent
new f497c99 MISC: Comsit + replace some global seeds with RandomSate
new 0d8f1ca Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 06911df MISC : renaming affinity propagation example
new a3f4f6b MISC: Rename to let the underscore RULE!
new 59fa8e9 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new d5505fc API: Create a base estimator class.
new da3a328 ENH: improve base class
new df165d3 ENH: Temporarily remove the typing for the base_estimator
new 8e6a9ca broke glm to improve model selection
new 5fb7223 TEST/BUG: Test the BaseEstimator class and fix the repr
new 4a20e78 Merge branch 'master' of http://github.com/agramfort/scikit-learn
new d9f5c76 Cosmit
new 6bd895a MISC: Remove the #$! import *
new a178da5 ENH: convert all GLM estimators to the BaseEstimator class
new 232bfd4 BUG: Fix the OLS regression
new 8ec5898 ongoing work on glm with crossval
new 8a0e8a2 Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
new 3978883 BUG: Fix constructors with arguments.
new ad1fdec Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
new 1b92a48 BUG: Syntax error
new c9f8c0c Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
new 9480379 BUG: str of linear models now working.
new 6575711 API: Change the type of params: turn this into a frozenset: unmutable and matches better our use than a dictionary
new 65294eb continue improve glm cv
new 164bf65 Merge branch 'master' of http://github.com/agramfort/scikit-learn
new d93be9b Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
new f43f933 ENH: Change _params to frozenset
new 3818399 API: Change argument controling whether intercept should be fitted or not in GLM to 'fit_intercept' in order to disambiguate with the value of the intercept (intercept_)
new 36c6bf8 fix glm cv
new 8ca262f Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
new e83d972 Cosmit in tests
new 2eac428 fix frozenset
new 391bdd5 Merge branch 'master' of http://github.com/agramfort/scikit-learn
new be82ca3 API: Change the BaseEstimator and parameter signature logic.
new 5d7d530 Cosmit
new e0872ef Cosmit
new 8856323 ENH: Convert LDA and clustering to use the new BaseEstimator
new d947fd6 MISC: Change the title of the documentation.
new c7793cd Cosmit
new 19442b0 ENH: Make the clustering more usable
new 6905e38 ENH: Add an example of playing with the stock market
new 611554c ENH: more efficient stopping criterion coordinate descent GLM and comparison with python-glmnet
new 5889ff1 BUG : fix in affinity propagation API : affinity propagation now returns the indices of cluster centers
new 5a5d201 BUG : fix in stock market example
new 0fd05c8 BUG : fix with blas on mac os x
new 7a344ac7 ENH : moving bench_glm.py to benchmarks folder
new 1132797 ENH: Make SVNs fit to the BaseEstimator API.
new 241e080 ENH : glm coordinate descent with BLAS
new b4976fe Added deb_cython_0.12.1 to use code cythoned with up-to-date cython 0.12.1
new f6e9a2a Build-Depend on python-numpy providing numpy-ext (Closes: #589590) + policy 3.9.0
new fd50b37 make nosetesting not suppressing output from code
new ed48e90 adding a workaround to allow BFS (Closes: #588595)
new 9eff1da Changelog for all previous commits
new 91dfe47 actually doing arith operation and printing to avoid failed comparison
new 2b8ddd8 Merge branch 'debian' into debian-release
new fcf7286 adjusting copyright file to actually address 3.9.0 policy + moving packaging under BSD
new 35f241e adjusting changelog
new 959e267 Merge branch 'debian' into debian-release
new 9c20589 blas-ification of elastic net + ensure that the gap is initialized and evaluated
new 2ad4f95 BUG : fix blas support in setup.py with coordinate descent
new 3c92c56 One more tests on LibSVM with precomputed callable kernel.
new 21b6ed1 ENH: Make SVNs fit to the BaseEstimator API.
new 4f31787 Refactoring of LibSVM bindings.
new fb91d9a Test for libsvm margin.
new ec5eca3 More bugfixes for blas detection in setup.py
new 8727393 FIX: numpy 1.4 fixes.
new 3867063 Mark as known to fail some tests in test_hmm.
new 92eea9c Use numpy.testing instead of unittest to skip failing tests.
new cb9e15e ENH : adding stratified cross-validation object
new c704e3d ENH : fix doctests in glm, svm and lda
new 524b532 Cosmit
new d7e6408 MISC: Put the nearest neighbors estimator to the BaseEstimator convention.
new 52feded MISC: rename base_estimator.py to base.py
new 965c2c3 Refine cblas detection on OSX.
new 31b36e8 FIX: compatibility fixes for py3k.
new 2fd21d5 Initial support for sparse matrices in SVMs (scikits.learn.sparse.svm)
new f27f234 BUG: Make sure that the docs still build with recent versions of numpy and Matplotlib
new 51543b1 BUG: Make sure the docs still build with recent versions of numpy
new 835de69 fixed GMM examples
new 39ac7d6 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 78ea762 BUG: Adapt the sparse SVM to the rename of base_estimator.
new 675967a MISC: Remove warning when compiling docs.
new 450b419 MISC: Adding titles to examples.
new bf2f812 DOC: Document best practices/coding guidelines to make it easier for people to contribute.
new 8631c5e adding grid search code
new a2c98ee Cosmit
new 0787e25 MISC: Put the nearest neighbors estimator to the BaseEstimator convention.
new c6b9b28 MISC: rename base_estimator.py to base.py
new 8e44322 Refine cblas detection on OSX.
new 2490597 FIX: compatibility fixes for py3k.
new 89cad61 Initial support for sparse matrices in SVMs (scikits.learn.sparse.svm)
new c14be56 BUG: Make sure that the docs still build with recent versions of numpy and Matplotlib
new b5fd8ae BUG: Make sure the docs still build with recent versions of numpy
new 735e11d fixed GMM examples
new 8ad8771 BUG: Adapt the sparse SVM to the rename of base_estimator.
new 619a64d MISC: Remove warning when compiling docs.
new a45354e MISC: Adding titles to examples.
new e8c77c0 DOC: Document best practices/coding guidelines to make it easier for people to contribute.
new b5da779 BUG : fix doctests in neighbors
new 94b67bf BUG : fix doctest in datasets/base.py
new b99c765 add pipeline
new 8ada0f2 ENH : using digits in grid search example
new 069a945 Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
new 0562558 Cosmit
new 73d4685 ENH: Make the grid_search take instances of estimators rather than factories.
new b752013 API : renaming GridSearch to GridSearchCV BUG : fix grid search example
new af5d0ab Add a setup.cfg to specify default nosetests behavior.
new e5bb430 MISC: 80 character bordel!
new b17d5fc New feature selection
new 182690e WIP pipeline
new 7db08f5 Last version of univariate selection
new 92b11aa Merge branch 'master' of git at github.com:vmichel/scikit-learn
new c5ef47d Example of feature selection pipeline
new 7bd4b98 Merge branch 'master' of github.com:vmichel/scikit-learn
new 4f0adf7 Add a setup.cfg to specify default nosetests behavior.
new b880e2c MISC: 80 character bordel!
new c1f222e API : cross val generator in now given in fit in grid search object
new 4b81ba1 Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
new c75f88e Cosmit: rename grid to iter_grid
new 9cbdfb8 Corrections of indentation in univariate_selection
new af76054 Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
new 61f7c42 remove old univariate_selection
new d1baaf5 ENH : update grid search example
new 12ccf23 DOC: Beautify example
new a2ca1e9 Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
new 2a448f8 Correct nosetets for univariate_selection
new dcddaa5 MISC: Beautify examples.
new f7950c8 Cosmetic on Pipeline
new 2646957 Merge branch 'master' of github.com:vmichel/scikit-learn
new 2453a0a Add doc to univariate_selection
new 7a4e4f4 Merge branch 'master' of git at github.com:vmichel/scikit-learn
new dd92df6 FIX: bug fixing on sparse.svm.
new 8f1c3fc Cosmit
new c83447b Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new cd73b6a Merge branch 'master' of git at github.com:agramfort/scikit-learn
new 314ba8d Merge branch 'master' of http://github.com/vmichel/scikit-learn
new e8cc2ff ENH : first draft of RFE
new bcc3c85 Merge branch 'master' of git at github.com:agramfort/scikit-learn
new aaecda1 Add rfe example
new 7aafa3d ENH : fix RFE + example
new fb7b47b update example
new e29b629 ENH : improve RFE
new 4dccda5 Merge branch 'master' of git at github.com:agramfort/scikit-learn
new 120b1bd Merge branch 'master' of git at github.com:agramfort/scikit-learn
new ab1220c Corrections in rfe
new 2d63185 Remove feature selection
new 71c1b24 Add ranking_
new cf2dc37 Add Crossvalidated version of RFE
new c346f8a ENH : adding loss functions in metrics.py
new 026a766 Merge branch 'master' of github.com:agramfort/scikit-learn
new 7390148 Add example of RFE CV
new dd68397 Merge branch 'master' of github.com:agramfort/scikit-learn
new d5f9eb9 ENH : fix RFE and RFECV
new 811563a FIX: more bugfixing in sparse.svm.
new c3e7b53 Doc updates to the svm module.
new 0ea8827 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 9dcd719 ENH: optional computing of estimated covariance of LDA classifier.
new 2e10705 MISC: add an unfinished toy example to compare LDA with a (not yet implemented) QDA.
new 828c5b5 ENH: rework univariate selection to reach a compromise between ease of use and flexibility.
new 05ad102 ENH : allow grid search to work with lists of grids
new fe9eaf5 ENH : using BaseEstimator with GNB
new fcf13ec cosmit'
new e08e595 ENH: First go at a help for cross-validated evaluation of a score.
new 4d40365 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new c77024d ENH : adding BaseClassifier and BaseRegressor base classes
new 495fb3a ENH : using mixin rather than base class to bring score methods to estimators
new b2f3f61 Merge branch 'master' of http://github.com/agramfort/scikit-learn
new faeb984 ENH: Add an example showing the dependency of SVC+Anova on the number of features selected.
new 94ec683 Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
new 2bfe517 BUG: Fixed example after last API changes
new 01886dc BUG: add missing call to pylab show function
new b87d10a BUG: Fixed pipeline feature selection example after last API changes
new a3bd419 ENH: Add joblib as a bundle dependency.
new e157a45 BUG: Fix doctests in pipeline.py
new 9b220b8 BUG: Fix doctest in GMM
new bd6e1e1 ENH: Add script to update joblib dependency
new 782aa4a Cosmit: rename MixinClassif to ClassifMixin
new a48f922 ENH: Make sure that in cross_val_scores the StatifiedKFold is used only for classifiers.
new 7d72553 MISC: lda: Y -> y
new e6272b0 Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
new 079c7c5 BUG: Fixed example after last API changes
new a3d0a29 BUG: add missing call to pylab show function
new 40cd7a9 BUG: Fixed pipeline feature selection example after last API changes
new 8c7b1bf ENH : fix in svc.coef_ + cosmit
new d2f8923 cosmit
new e1d9796 work in progress on sparse vector extraction for document datasets
new c36e0f7 exclude scikits.learn.external package from top level nosetests env
new 5c2298e missing pl.show() in rfe examples
new c6c91f2 more missing pl.show() in examples
new 13b1fc7 ENH : fix in svc.coef_ + cosmit
new d8815c5 Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
new 05db1fc MISC: Small change to contribution guidelines, suggested by Mathieu Blondel.
new 3b9b8b4 using a separate class for the sparse version of the hashing vectorizer
new 4efdd77 readd the dense version of the vectorizer
new d53a668 checkpointing work in progress on the sparse version of the document vectorizer
new 6433cee more scalable TF-IDF computation unfortunately using a python for loop
new 8c61c97 new example to demonstrate sparse TF-IDF + sparse SVM on 20 newsgroups (too slow right now)
new b97e07c Merge branch 'sparse-documents'
new c0047b5 Restrict to python >= 2.5 to avoid dealing with --install-layout absent in 2.4
new 13b319c avoid useless allocations in dense_to_sparse conversion
new 23811af COSMIT: For the sake of underscores
new 619821a MISC: comment
new 31bd96c Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new fdea794 experimenting with character n-grams features (basic morphological analyzer)
new ddc2791 ENH: Add parallel computing for cross validation.
new 0efc0ba BUG: Get the BaseEstimator to work even if there is not __init__
new 8bf6a74 ENH: Make the parallel cross validation more efficient.
new f7c215e BUG: Fix cross_val_scores for unsupervised problems.
new 982c3a0 ENH: Improve cross_val in parallel
new 79d634e Merge branch 'cross_val_gael' of git at github.com:GaelVaroquaux/scikit-learn
new d5452da Misc
new 70cd263 ENH: Improve the repr for the BaseEstimator
new c076dd0 Accepting Nico's patch to account for NumPy transition
new 8d975f2 changelog entry for -3
new f13dba1 Merge commit 'debian/0.4-3' into debian-release
new a2fefd4 ENH : using np.logspace instead of np.linspace in paths
new 8e4290f ENH : using np.logspace instead of np.linspace in paths (after merge)
new f36fdb7 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new f5db5f5 fix one simple import in doctest for GMM
new c2c76a7 simple Makefile for repetitive dev tasks on POSIX OS
new 466b2b4 fix broken/unstable sparse SVM tests
new e296f11 even more stability fix for sparse SVM
new 55d49ba fix broken doctest in HMM
new 0624f49 disabling broken doctest in Gaussian Mixture Models
new 181fdc2 fix HMM doctests
new ae4e81e cosmit
new 0a5ad9e ignore coverage output folder
new aff2b96 trailing spaces
new 7ffab5c skip remaining failing tests in HMM test suite
new 0236687 fix inline comment
new 299a8b8 API : making Y optional in fit for OneClassSVM ENH : new OneClassSVM example
new b314cc3 FIX : removing duplicated example
new ff989b8 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 497f1fd ENH: add QDA classifier, some docs, examples and tests. LDA has been reworked a bit to follow the API of QDA and avoid useless operations.
new 64d4a19 Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
new 1a9cbeb Merge branch 'master' of git://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 49bd6c3 Merge branch 'gael' of http://github.com/agramfort/scikit-learn
new 8eae7e9 BUG: Fix a bug preventing from LinearModelCV to print.
new 8c6293a ENH : new SVR example
new 8257fb1 ENH : new SVR example
new 6b218d1 ENH: optional computing of estimated covariance of LDA classifier.
new 4451bba MISC: add an unfinished toy example to compare LDA with a (not yet implemented) QDA.
new ec65ba2 MISC: lda: Y -> y
new 511bee7 ENH: add QDA classifier, some docs, examples and tests. LDA has been reworked a bit to follow the API of QDA and avoid useless operations.
new 9769090 Misc
new 7281b3c Merge branch 'temp'
new 9617c98 ENH : improve QDA (taken from Matt Perrot)
new b110ebb ENH : improve LDA (taken from Matt Perrot)
new 92b8b3a ENH : improve LDA QDA example (taken from Matt Perrot)
new 9ab5bd5 MISC: cosmit in LDA, QDA
new ac5184a ENH : new example for LDA vs QDA
new 26cdfa4 ENH : removing old example for LDA vs QDA
new c16e867 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 69dd905 BUG: Fix forgotten import in example
new 894c26e ENH : attempt to have a default parameter for bandwidth in MeanShift algorithm
new 976f6e1 Merge branch 'master' of git://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 858da50 cosmit in LDA/QDA
new 36604ca MISC: Remove pointless ellipsis directive (doctest)
new 7b2f998 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new e05dc94 MISC: vectorize priors computation for LDA and QDA
new 58efcf4 Merge branch 'master' of ssh://revilyo@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new f959fd3 MISC: remove debug
new e5f56af Remove unused imports in qda module.
new 72682f0 Some doc for the svm module.
new 41d842f Add target in to Makefile.
new 07bc525 Fix names and missing parameters in LinearSVC.
new 48be43b Add support for sparse matrices in liblinear bindings.
new b4102d5 Add a reference to density estimation in GMM docs.
new b8d080e Use relative imports inside scikits.learn.
new 89f6a7f Remove unused imports from hmm module.
new da9edc5 Showcase the new LinearSVC wrapper for with sparse liblinear bindings in the 20 newsgroups document classification example
new e150a68 tracking changes in master branch
new ad360fc BUG: Fix lda and qda on 64 bits.
new acd12ec Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new 2fa7cb0 Merge branch 'master' of ssh://gvaroquaux@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new 82ccb9c TEST: Make sure that doctests for bundled dependendies pass.
new 0e1b792 Refinement and bugfixing in the liblinear bindings.
new 263a454 More refactoring and bugfixing with liblinear.
new 28ca33e More refactoring in libsvm + liblinear.
new b993498 remove unused imports from setup.py
new 95b90a3 run all tests suite through nose.
new db3a4f3 move liblinear into its own folder
new 947691c Bug fixing in liblinear bindings.
new e1531e1 Added some failing tests.
new 9835d5e Bug fixing in liblinear bindings.
new dbe6579 XFail tests that fail (or are plainly wrong).
new c854e8a Refactor layout of developer docs.
new cd84d91 Revert unwanted changes (aka ooooops!).
new 17c908d Added tests to trigger failure on classes using liblinear.
new 8bf9ae3 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new 81c2b0a BUG: Make sure that joblib does get installed.
new a0b508c ENH: Make sure tests get installed.
new e5aa871 ENH: Improve the repr for the BaseEstimator
new 5779fcb TEST: Make sure that doctests for bundled dependendies pass.
new baaa94f BUG: Make sure that joblib does get installed.
new 505738d Fixed a typo
new de451f7 Refinement and bugfixing in the liblinear bindings.
new 2c57f55 More refactoring and bugfixing with liblinear.
new efc32a5 More refactoring in libsvm + liblinear.
new 285d7f2 remove unused imports from setup.py
new 2c8188f run all tests suite through nose.
new 63ec11e move liblinear into its own folder
new 1e1452d Bug fixing in liblinear bindings.
new 3b0e439 Added some failing tests.
new 49ba346 Bug fixing in liblinear bindings.
new 3d0f46d XFail tests that fail (or are plainly wrong).
new 8509088 Refactor layout of developer docs.
new 29f7c8d Revert unwanted changes (aka ooooops!).
new ace4884 Added tests to trigger failure on classes using liblinear.
new 3a67251 ENH: Improve the repr for the BaseEstimator
new 668094e1 TEST: Re-enable external tests.
new f2273c5 BUG: Fix doctests to account for change in BaseEstimator repr
new e9f6767 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 0e944a5 Update the developer docs.
new 4e79a78 Refactoring & bug solving in liblinear.
new 037c769 fix broken test for text features extraction
new 2dec81d fix broken test for text features extraction
new 582c812 FIX: fix liblinear predict in the multiclass case.
new b3901e1 Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new da623db Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new e047f16 Merge branch 'cross_val_gael' of git at github.com:GaelVaroquaux/scikit-learn into cross_val_gael
new e9e4a83 Add reference to pybrain from the ann docs.
new 2221881 Update numpydoc (sphinx extension).
new 3ae5b86 Update svm rst doc.
new 5eef725 Add rst doc for logistic (empty for now).
new 258b351 FIX: fix shape of support vectors in liblinear sparse.
new dd37fb3 fixed broken doctests in gmm.py
new 714f61b updated gmm.py to comply with scikit-learn API. fixed pep8, pyflakes errors
new 3ed43f0 DOC: fixed typos in developer documentation
new 10b2fef Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
new f9247e9 Update git information.
new 82bb324 ENH : adding doc to clustering module API : adding trailing underscores to estimates in clustering classes
new 35146dc ENH: adding test for RFE and reaching 100% coverage
new d1acbe1 ENH : adding doc for grid_search module
new 5dc8d7b MISC : cosmit nfeatures -> n_features, nsamples -> n_samples, nclasses -> n_classes
new 0b70487 Do not compare LinearSVC and SVC for exactly equal classification.
new b166d11 FIX : adding missing doc file
new 1760798 Update git information in README.rst.
new 818ed82 Update sphinxext/docscrape from numpy's trunk.
new b6e2e13 Refactoring in the svm module.
new 85c6ead Re-enable probability estimates in logisitic regression.
new 570787d tracking changes from master and restore broken SparseHashingVectorizer
new 918992a add ability to compute token ngrams too
new e194de4 BUG: fixed failing test in GMM
new d7c61d9 remove GMM.lpdf method
new 0f3081a merge
new a3961e9 fix broken doctests for SVC / NuSVC
new 88795a5 Merge branch 'master' into char-ngram-features
new 96e8ffb cosmit
new 753a6f5 update hmm module to comply with scikit-learn API
new 10308fa remove hmm.HMM factory to simplify hmm module's interface
new c716c75 merge hmm_trainers into hmm module
new 15ab406 finish merge of hmm_trainers with hmm and remove hmm_trainers
new f5a6620 remove extraneous tests from test_hmm.py
new 9332344 FIX : fix in subplot index in plot_iris.py
new a29f9cc speed up hmm unit tests, add test for GaussianHMM with priors
new 9fd9179 fix GMMHMM bugs. speed up tests
new 86807f3 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 80b28f2 Rename failing example in order to build the doc.
new a770fec FIX: fix generating the examples with some tricky uses of pylab.
new 3493a40 Update install information.
new 0582253 Fallback to plain html for image rendering in index.html
new f7119ca Fix bugs in dev docs.
new bdb4491 Updates on install doc.
new 9b9d0aa Update mailmap file.
new 609e2e5 Updates on sparse.svm.SVC
new 8b26c79 MISC: Update joblib to 0.4.4
new ae05aa1 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 99c03a0 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new 78ec57a Remove install_requires line.
new 0f0a66b Update README. Remove unused dependencies.
new b4dc31e Use str for printing parameters.
new bc0cfb0 Update setup.py.
new 29196ff Change make setup to run setup.py
new b8b033a Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new 3367693 Use repr for arrays in representation of classifiers.
new 97bbe31 ENH : removing unused preprocessing routines
new 35d2340 FIX : in Makefile that calls now nosetests directly
new 20ebc14 Use nosetest as testing tool in README.
new f14f306 ENH: Make sure that the QDA inherits from the ClassifierMixin
new f64e035 Merge branch 'cross_val_gael' of github.com:GaelVaroquaux/scikit-learn into cross_val_gael
new 5786df2 ENH: Make sure that the QDA inherits from the ClassifierMixin
new dcb3692 ENH: Make sure that the logistic regression does inherit from ClassifierMixin.
new fad03fb ENH: Add image to graph feature-extraction helper, and some basic graph manipulation functions.
new 1a1adee ENH: Make sure that the logistic regression does inherit from ClassifierMixin.
new f953067 FIX: removing useless imports
new 034f741 ENH: Add some code to compute a graph Laplacien on sparse and non sparse matrices.
new f674464 Merge branch 'master' of github.com:scikit-learn/scikit-learn into cross_val_gael
new f997664 BUG: Temporary fix for 'array does not own memory' in SVM
new 005d588 ENH: First implementation of spectral clustering.
new 0c58de2 BUG: Temporary fix for 'array does not own memory' in SVM
new bccdf97 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 8f008f3 ENH: Clean up the image clustering code and add an example on lena.
new 86ee17f DOC: Add documentation for spectral clustering.
new 7467555 ENH: Add an estimator object for the spectral clustering.
new daea67c ENH: Add k-means cluster with clever initialization. API: Break clustering in a package with sub-modules.
new 0983539 Allow setting variable PYTHON, NOSETESTS in Makefile.
new c0a72ab ENH: K-means algorithm with good initialization, more polished spectral clustering, and a synthetic example.
new 6557000 MISC: Restore an example that is now working again.
new 68ca67e API: Change 'clustering' to 'cluster'
new 5db18a5 Merge branch 'master' of git at github.com:GaelVaroquaux/scikit-learn
new 1e8b363 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new c087f64 BUG: Add a forgotten setup.py line
new 0f24c7a ENH: Backport a fast graph connect component algorithm from scipy.
new b32a968 MISC: Cosmit based on comments from Olivier and Alex
new 2edd6ed Doc: correct size of intercept in svm.
new 96eeee6 Keep shrinking and probability as booleans in SVM.
new 2bac37e DOC: Add some notes on complexity of clustering algorithms.
new 03d8ec4 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new e824d9f BUG: Adding missing setup.py file.
new 893ba32 BUG: Remove UTF8 character checked in by mistake.
new ba0c787 BUG: Make graph laplacian and spectral clustering work in 64 bits.
new 4e13e86 Refactoring: put all gmm examples in its own directory.
new e5cf2e4 Some love for the rst docs.
new 26ef94e Create new class NuSVR.
new c62aa88 Some patches for k_means.
new 1d645ea ENH: For numpy >= 1.5, use np.linalg.slogdet as a fast_logdet
new d1a9d8e BUG: Fix bug with numpy >= 1.5 introduced by my previous (stupid) commit.
new 1686dea Backport changes in sparsetools to compile under python2.7.
new df8c593 Add a pure-python version of LARS and refactor structure in glm.
new e87eb20 add README for gmm examples.
new d240064 Refactoring and doc for svm module.
new 61905f2 FIX: fixes for the lars lasso code.
new a31685c ENH: Remove 'import *' in glm/__init__
new f2f0d88 ENH : more work on LARS (doc + examples)
new 8b53b92 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 565852c BUG: Fix tests broken by last commit
new 3feef6d ENH: Make spectral clustering tests more robust
new 667e508 ENH : continue refactoring of GLM module (doc, moving files, config etc.)
new 121014b ENH : more refactoring of GLM module
new 2ad861c FIX : fixing __init__ files for examples
new 664ad0a ENH : cosmit + fix examples for doc generation
new 7a42bf2 Cosmit (PEP 8)
new 0b1ad2a cosmit in examples
new df6ccf1 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 581549c BUG: Fix glm/setup.py so that the glm sub package installs right.
new e401e05 TEST: make the test location consistent.
new 3556457 API: Add cluster as an import of the main __init__
new bc5604a Fix build system.
new a9bdcc4 Fixes on the Lasso-LARS algorithm.
new 6e59a59 Add benchmarks for the LARS algorithm.
new 3e2e464 Change score function and add docstrings.
new c1ebd63 Some work on the rst docs.
new 9cef659 more doc love.
new 29ab733 BUG: Fix warnings module not imported in coordinate_descent. Thanks to Pietro Berkes
new edc0774 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 2d942d1 BUG : fix in Lars at the end of path + more tests (not working yet)
new cfc090b ENH : using explained variance as score for regression problems
new b44e1c8 ENH: on the use of explained_variance in mixin regressor class
new 6e708ab DOC: more work on svm module.
new 7d3a01e Fix in LARS: specify manually number of interations for full path.
new 780b92f Remove "debugging" traces...
new 394fab4 Fix doctests.
new a32d10c DOC: some doc glm module.
new 1f25d0b ENH : New version of Bayes Ridge
new 0d1d2e3 Merge branch 'master' of git at github.com:vmichel/scikit-learn
new 7993c24 FIX : fix in handling of intercept in glm base and ridge
new 71fe575 Convert to ndarray in Ridge
new 34bdfc3 DOC: glm module.
new abf805a FIX: fix intercept in LinearRegression.
new fff3465 Doc: Add stub file.
new 05765bb TEST : adding test to ridge with no intercept
new b2d0a77 Newer (and faster !) version of Bayesian regression.
new d81b619 Merge branch 'master' of https://vmichel@github.com/scikit-learn/scikit-learn
new cc4e824 ENH : New version of Bayes Ridge
new ebf568f Newer (and faster !) version of Bayesian regression.
new 7ce1c60 Update tests for bayes
new f3d743e Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new be92b0f ENH : draft of what could be a preprocessing routine (done by hand for now)
new b6c7ad4 MISC: Move AUTHORS to AUTHORS.rst so that it displays better on github
new 9cb4cab BUG: Make sure computations do not get executed at import time, so that the tests still run.
new 0794c1a Cosmit
new 3a4ae80 BUG: Remove failing doctest.
new 150e615 MISC: More tests and more docs for preprocessing.
new 56306dc FIX : prevent pipeline.score to do a fit which was wrong
new 01856ce FIX : it may happen that pipeline.estimator do not implement predict
new 36a70f7 BUG: Cater for NaNs in SelectPercentile.
new ee4b532 Cosmit: 2 lines between function definitions
new a19a432 ENH: Make sure that the cross_val_score uses StratifiedKFold for pipelined classifiers.
new a9e73ad ENH: GridSearchCV: add an 'iid=True' and open the option to optimize average score accross fold.
new 3c996a9 MISC: 3-Fold cross-val by default
new 99e3fb0 ENH: Make sure that grid_search uses a StratifiedKFold by default on classifiers.
new 15c2a35 BUG: Fix doctest
new 4b56aef DOC: better example for SVM-Anova
new 68b73d3 moving ridge out of bayes.py
new 9213838 Benchmarks for some Glm classifiers.
new 9db0e12 DOC: more on glm module.
new 41165ab Fix typo
new 62ac028 ENH: Make sure docs build on older versions of sphinx
new 9aa3e84 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new 8d88c28 DOC: Prettify
new c02afbe DOC: Make first page more compact.
new a21f0e8 DOC: Update the developer guidelines.
new 12e8e47 Backport total_seconds from python2.7 to use in benchmarks
new bb34e5f Refactoring in glm.benchmarks.
new 5691026 Rename nSV_ --> n_support_ in svm module.
new e545c6a Some more doc for the glm module.
new 6782310 Update doc svm.NuSVC
new 29b1720 MISC: Tweak front page
new 21d5516 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new dd4872b ENH : adding PCA filter
new 4f12dec ENH : adding computation of percentage of variance explained by each component
new 059fb22 Make BSD find happy.
new f9815ce Compat: Add function copysign in the case of numpy < 1.4
new d04b33d MISC: Cosmit on PCA tests to get understandable errors from the buildbot.
new 47a1ca2 MISC: Delayed import of pylab, to work on the buildbot
new d59506f MISC: Relative imports
new a1b47d4 BUG: Fix tests to be moroe robust
new bc01343 Do not import pylab globally in benchmarks
new 530bef9 Test for function utils.fixes._copysign.
new 6ba3b80 DOC: Fix typos in svm module documentation.
new 941ae5a FIX: fix previous (stupid) commit.
new 4b1a1e4 FIX : for doctest in PCA
new 971b5b6 Remove Y from fit in OneClassSVM.
new 8d16947 Welcome Virgile Fritsch
new d0792b9 cosmit + trailing spaces + improved some comments
new 31e170f Add first draft of variational bayes
new a54a873 Add variational inference
new dbb3aa1 pep8 spacing
new cbc5f44 more cosmit
new 6e5e140 Cosmit
new e7ae40f Merge branch 'master' of github.com:scikit-learn/scikit-learn
new e9d356d MISC: Add a warning in the spectral clustering if pymag is not present
new c21d0a6 introduced gael's implementation of fast_ica and debugged GS orthogonalization
new e259a80 Update docstring for BayesianRidge.
new 4cd777c ENH : adding ledoit-wolf for robust covariance estimation
new d72c27d cosmit in fastica, that created a bug -- to be fixed
new 1444269 updates in fastica and more tests
new 98ec3b9 DOC: Update doc for bayesian regression + examples
new eeb9dbd Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 27477f8 DOC: update docstrings in glm.bayes.
new b92ff2f Revert "MISC: Add a warning in the spectral clustering if pymag is not present"
new edf9429 Revert "Revert "MISC: Add a warning in the spectral clustering if pymag is not present""
new a04a141 cosmit
new d8caf8a FIX : Remove reference to Variational Bayes
new 060bea1 Merge branch 'master' of github.com:scikit-learn/scikit-learn into issue-77-sparse-cd
new b21fbbb starting boilerplate for sparse coordinate descent
new 4315aee completed and cleaned the tests
new f744094 improved the tests
new cade67f Update docstrings in svm and logistic.
new 0d32d38 ENH : adding FastICA class + example
new 5a7a47a Merge branch 'add_ica' of http://github.com/bthirion/scikit-learn into ica
new c75191f Merge branch 'master' of github.com:scikit-learn/scikit-learn into issue-77-sparse-cd
new 72f7cb9 fix broken test
new 89f605d FIX: some fixes for bayesian doc in glm.rst
new 4bb6209 BUG: Import stats explicitely to work with scipy > 0.7
new 8e70946 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 6490014 Fix typo on David's name
new 6b14f85 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 4d764fd DOC: some more fixes on BayesianRegression doc.
new 6a6bbf0 Better error message in fit svm.
new 4ec011b Fix failing tests (sparse svm).
new d291408 ENH : more on ICA (examples + doc)
new 4ff781f Merge branch 'ica'
new 375be9d Add a reinitialization function for estimators + write test for GridSearch.
new 3bbc5fe More doc in bayes.py, fix bug in high dimension, add score
new 83df999 Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
new 5bc337e FIX : fix ica vs pca example
new 8c9f1c7 Change test name for the _reinit() method.
new 10a86a1 checkpointing work in progress
new 2d7aaaf avoid confusing cython extension names
new 20bb335 solved conflict in test_fastica
new 9e7d8e9 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new b20abdd ENH: Add _set_params/_get_params in Pipeline
new d74a093 Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
new 300d473 Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
new c4c8ffd ENH: Implement _reinit on Pipelines.
new ea66aab ENH: Use new pipeline framework in SVN-ANOVA
new ba0e2af added probabilistic PCA and associated tests; works reasonably well
new 48b0a00 BUG: Import stats explicitely to work with scipy > 0.7
new 1c59054 ENH: Finish the __repr__ for the pipeline
new b2423f9 ENH : adding example + refactor in covariance module
new bcdb2a1 splitting ledoit_wolf.py in two files
new 79f8ddb ENH: Add error management to the KFolds
new 120fc3a oups missing example file
new 8be939f FIX: missing covariance.py
new ab622c2 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 4a67caa fixed various issues with sparse datatype handling in previous checkpoint
new da285ea ENH : change the convergence trigger
new 24e9b6a More coverage for bayes
new 743159d Merge http://github.com/GaelVaroquaux/scikit-learn into gael
new 06cbe38 cleaning the handling of the intercept in GLM linear models
new edaa6a7 better note
new 4bd590d first stab at the sparse CD
new fab8518 leave sparse evaluation of the dual gap for later
new b06f78d forgot files from previous checkin
new e4bf8d4 Merge branch 'master' of github.com:scikit-learn/scikit-learn into issue-77-sparse-cd
new e7c8ba6 ENH: Port the nipy k-means with some cleanups and enhancements.
new a5b75b3 ENH: Change the initialisation heuristic for k-means: in general random is faster.
new 3421872 check that sparse API for coordinate descent also work with dense list-based input
new 60d326d BUG: Adapt spectral to new k_means API
new 4ae3119 Merge branch 'master' of github.com:scikit-learn/scikit-learn into kmeans
new a0a4375 ENH: Add error management to the KFolds
new 7a78d61 one more test for sparse CD
new c7692d8 Be able to do _get_params and _set_params in a recursive way.
new 7574a48 Cosmit
new 3a869a2 Cosmit
new a5b807e sparse dual gap too!
new aa9297c Merge branch 'master' of github.com:scikit-learn/scikit-learn into issue-77-sparse-cd
new 26643c5 DOC : create and start doc for cross-validation. Still lack of examples...
new 1ee1e29 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 122d338 cosmit
new eb18b3d Merge branch 'master' of github.com:scikit-learn/scikit-learn
new bff2c6e fix broken doctest in cross_val
new e65c4dc DOC : add changes in classes.rst
new 1437a40 Merge branch 'master' into issue-77-sparse-cd
new f565966 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new e7f43ba Merge branch 'master' of github.com:scikit-learn/scikit-learn
new b568f5d Fix imports.
new e900a13 more robust tests
new 5e98aa8 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new e85c625 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 1ef468c Merge branch 'master' into issue-77-sparse-cd
new 7b5fb57 fix in ppca
new e82e9e0 cosmit in pca and test_pca
new 20fe292 ENH : avoiding computing a pinv at each iteration in BayesianRidge
new 4adfad6 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new ebc414e missing import
new 8020a93 TEST : bayes
new b1da4fe FIX : imports in __init__ of glm
new d1c196d cosmit in ARDRegression
new f23267f Merge branch 'master' of github.com:scikit-learn/scikit-learn into pipeline
new d52c5c8 ENH: Change pipelines so that they are simpler and address subobjects using the routing logic of the BaseEstimator
new a81ba85 BUG: Fix bug introduced by previous commit
new 9ed4b89 BUG: Fix doctests.
new fc6e9ac TEST : removing lda.py
new e3e458b COSMIT : PEP 8 in PCA
new 1c95067 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 0c6b21b DOC: Better docstring.
new cb35cc8 merged origin and fixed a conflict
new f2d7455 ENH: Make setting nested parameters on Pipeline really work.
new dea6e40 Cosmit
new 30ffff1 TEST: Add a smoke test for cross_val_score
new 92dddfa added sparse Lasso utility class
new d9d3735 OPTIM: fix a typo and some suboptimal cython constructs in dense coordinate descent
new d5962d2 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 1e5074d DOC: Explain the _set_params method in BaseEstimator class.
new b17cf79 FIX : RegressinMix score had flipped y_true and y_pred
new 6761568 EXAMPLE : adding model selection example with train/test error graphical illustration
new 13ebec2 EXAMPLE : making only one figure in model selection example
new f201bce Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 4ae80d4 Temporary fix for Table of Contents not showing.
new 6d2e473 MISC: Fix spelling.
new 6dda5f5 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 0dcd737 DOC: Add more links to the index
new c5ffd7e DOC: Add forgotten link targets.
new 9fa6521 DOC: prettify the nearest neighbors docs
new 0625780 DOC: Prettify the SVM docs.
new e7672b9 MISC: Add 'Python' in the examples page
new fc7c55b DOC: fix the PCA iris example.
new 4bec379 MISC: Remove non-necessary lines from PCA example
new e2957a5 DOC: Prettify the clustering documentation.
new 6b282e0 DOC: Fix the reference classes documentation
new fd315bc DOC: Prettify the GLM docs
new 4ee8b88 share the same cython impl for both lasso and elastic net CD
new a8e72b1 make d_w_max early stopping criterion scale invariant
new 4e9810a cosmit: s/nsamples/n_samples/g and s/nfeatures/n_features/g
new aa1b766 group stopping criterion related boilerplate in the same place for readability
new a4748e1 MISC: Quiet down the tests.
new a9f8b48 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 2ab74cd ENH: Add a tester to the scikit.
new 54e8b77 ENH: Make doctests pass with numpy tester.
new a4f50ea MISC: Make sure tests always run.
new 8ab4f91 FIX: make CD lasso robust to zero valued columns (useless features)
new 0de7e5d Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 332f63e MISC/DOC: fix reference
new e3dc8d9 Do not import pyalb in the benchmarks.
new f6c6724 add duration to glmnet benchmark output
new 9176cab removed useless includes
new 8a3f06a make d_w_max threshold independant of the squared norm of y to make it useful in practice
new a555f22 Merge branch 'master' into issue-77-sparse-cd
new 86d1048 port latest bugfix and optims from dense CD to sparse CD
new 4287862 Rename PyBallTree* --> BallTree* in BallTree.cpp.
new e882140 TEST: Fix test_pca sign error.
new e535011 Added filters to WordNGramAnalyzer.
new 34c2758 fix NORMALIZE_WHITESPACE issues in doctests
new 95546e7 more robust and understable CD elastic net test using explained variance score instead of RMSE
new 2e1fc63 forgot to setup the good value of rho in last checkin
new bd72bdb Merge branch 'master' into issue-77-sparse-cd
new ba2356b FIX __init__.py of glm.sparse
new bb2e066 EXAMPLE: add example of dense vs sparse Lasso on dense and sparse data
new 7a636fc TEST: Fix whitespace in doctests.
new 545f47c FIX : example of dense vs sparse Lasso on dense and sparse data
new 39e4208 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new e9b5733 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new fe93d47 Added a non-hashing dense vectorizer object.
new 6053027 LARS refactoring speedup Work In Progress!!!
new 8144df3 more on lars optimization
new b591602 more on lars speedup WIP
new f5bb8ab LARS with precomputed kernel working.
new c463cea more work in lars optimization.
new a79553e More on LARS performance: triangular solving and cholesky deletes.
new 7c24dd7 A more challenging example.
new 3c884fa cleanup and fix some tests.
new bf789be ENH: GridsearchCV, Pipelines and cross validation
new 780c166 More on LARS.
new aa5732d more optimizations
new 601293f cleanup
new a9b03b9 Added transform() method to Pipeline object.
new 0f79a86 Updated dense vectorizer to follow transformer API.
new d1a9f55 passing Gram in LARS and LassoLARS
new ca9c569 ENH : more doc in lars.py, handling of intercept
new 6f8039c Merge branch 'fabian/python_lars_fast_2'
new 9e3b36c fix doctests in lars.py
new 805d184 more on lasso benchmark
new b5f7356 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new ac02b33 merged origin
new 452f723 ENH: Make sure that Pipeline and GridSearch objects are indeed recognized as classifiers, if they contain a classifier.
new a4ed78e ENH: Make sure clone works on pipelines
new 0b8aa6c Merge branch 'textextract' of git://github.com/mblondel/scikit-learn
new 3fb62b9 Support fit_transform() in pipeline.
new 20bd2b9 Support lists for training data in grid_search.
new 3dbe9f3 Use fit_transform and use iterables for documents.
new 0675770 Remove uncessary code.
new 88a52a1 Save memory when the matrix is built.
new 5c7f3fb Added fit_transform() to pipeline.
new e790866 ENH: Implement a score for the GridSearch.
new 91f0814 Vectorizer should implement fit_transform.
new fd60658 ENH: Make sure that a GridSearchCV has a score
new 5135fca Update CBLAS files: add rotg, rot, trsv, remove tpsv.
new 5c17058 Good bye minilearn.
new 8be8a8a Fixes for ref atlas.
new 9719271 Some fixes for the atlas we ship.
new e872975 FIX : preprocessing : scaler should not be allowed with axis=1 (opt removed)
new cbdbda6 Add missing cblas_dcopy files.
new b44a386 skipping BayesianRidge failing test
new 7b12364 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 2138c51 Merge branch 'cross_val' of github.com:GaelVaroquaux/scikit-learn
new 4b71675 Merge branch 'master' of http://github.com/fabianp/scikit-learn
new e8e2b1a FIX: failing gmm tests
new 20937eb Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 192d243 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 9590adb better docstring + cosmit for the RFE module
new d5a71d2 pep8
new 78fbd20 move the RFE module to the feature selection package
new 5aa6098 merge textextract branch from mblondel
new a9f98dc Fix broken merge by ogrisel :-P
new dce7bf7 PEP8 + missing fit methods
new 9209225 make analyzers inherit from BaseEstimators to get better repr and parameters management
new 69ca71e using diabetes in lasso/lars examples
new e8cc69e removing assert for debug
new f1530fb ENH : speeding up the LARS
new 0e193e8 BUG: bug fix in LARS Lasso mode + speed improvement (we can still do better)
new e174b32 adding LARS with Gram to benchmark
new 87644db ENH : speed in LARS by forcing X to be fortran ordered + cosmit (unactive -> inactive)
new c9aaaaa Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 6e982be pretifying the LAR / LARS examples to match with results on wikipedia page
new 41d3f72 work in progress: refactoring the document classification dataset API to remove the feature extraction step
new 82ba7a1 Merge branch 'master' into textextract
new 231cb36 cosmit in docs of glm module
new 42fca0f New theme for the web page.
new daf8ed9 Add what's new page and a nicer sidebar for index page.
new 043cd96 Move glm related benchmarks to a common location.
new 4c0d270 Performance improvements for LARS precomputed Gram matrix.
new df54c39 Remove weight_label keyword from SVR.
new a22d25e Remove Minilearn C sources.
new 4884978 Add some developer information for the CBLAS we ship.
new a5703a1 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 7417610 Cosmetic changes to the cblas README.
new 1080466 More love for the new web page theme.
new 0f37104 Refactoring in the svm module.
new d1d2cef Also remove Windows python extension (.pyd) in make clean.
new ef26ea4 move sparse.svm into the svm module to match glm.sparse.
new 4089a47 Make a reference page in the docs.
new 1d22339 Update class reference.
new 08d1a4d Cleanup in setup scripts.
new 017311d Bugfixing in setup.py
new 972a272 cosmit.
new 1be5131 Cosmetic changes to svm tests.
new aa2a523 Correct default value of gamma in the svm docstrings.
new 2461026 Refactoring in sparse SVM and bug solving (default value of gamma).
new 06c74d2 Refactor svm tests.
new 35ce1eb Fix doctest failing by last bug fixing.
new 558d878 Add target test-doc to Makefile to test the RST docs.
new dbbe2ef Remove obsolete debugging code from grid_search.
new 41f8c0b Remove obsolete comments from doc.
new 5bbd6d8 Cosmetic changes to grid_search_digits.
new a07e818 ENH : improvements in bayes
new 366de15 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 44597a9 fix doc generation on plot_lasso_coordinate_descent_path.py example (pb on my box)
new cc1b30c SparseCountVectorizer, SparseTfidfTransformer and Sparse Vectorizer
new edf4fd4 Reduce import time.
new 21debd0 Polynomial kernel also uses keyword gamma.
new be36a15 Fix typo in svm docs.
new 7fa2603 Fix wrong link in doc.
new 612e9e4 DOC: update doc about LARS.
new 2a70aec Add LARS, LassoLARS to class reference.
new 7f760b7 Update funding info.
new d6f75e5 Update API changes in feature_selection doc.
new 5f8978d Remove the ann module.
new f72be0d Remove obsolte css code from the docs.
new 6695c5b Update docs on sparse svm.
new 02a9dfb Correct spelling errors in svm documentation.
new ac62bf0 Fix spelling errors in glm.rst
new 1459c70 Remove non ASCII characters from the docs (problem in latex output)
new 5725d3c Fix non-html (latex) generation of the docs.
new 2ccfa9f Fix RST (numpydoc) markup.
new 68b078d Update organization in index.rst
new f9aa89d Update doc of neighbors module.
new 0182bce Update links in svm doc.
new 67f3468 Update theme in web page (sidebar color)
new 4b98c35 Fix malformed RST in BallTree.cpp
new 8d45f3b Change doctests that are machine dependent.
new 5cb8e6c Update joblib to 0.4.5
new 65569b7 Comment out fragile joblib tests.
new 61c81a2 Add test.py script that runs nose.
new cce8adc Remvoe printing statements from tests.
new 652550a Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 3d29d64 Adopt numpy naming scheme for __version__ attribute.
new 4b025a0 Compatibility fixes for utils.graph.
new 4def939 Use by default np.unique.
new 3baf985 Compatibility fixes for scipy <= 0.7 and numpy <= 1.4
new ed1dd5c Compatibility fixes for old scipy.sparse.
new 70ac94a Do not include Makefile in final release.
new a64f488 Add missing files to setup.py
new cd86703 Add missing images
new 26bdc72 Rename features --> feature_extraction to match module feature_selection.
new e7d4035 Update information on testing.
new 874e228 FIX: bug in setup.py file from glm/sparse/
new 615de15 Update web page.
new 48af367 FIX: fix imports in example for renamed modules.
new 8df4238 Add function template for doc.
new c0812b6 Update web page theme.
new 739bda7 Update mailmap file.
new 138709e Add Feature Selection classes to the reference docs.
new 83057b7 0.5 changelog (Work in progres).
new 337c87f DOC: updating doc on Univariate feature selection
new 27de186 DOC: better link that literalinclude.
new 2df892f Combine user guide into a single file.
new 04b05b7 Update changelog.
new dd34f5d Add png logo.
new 5426dd3 Update MANIFES.in file.
new a658f83 Update test.py and README.
new 79793fc normalize option for TfidfTransformer
new d8b1db1 fix garbage
new cca1515 Simplify test machinery.
new c3b7b35 Use ELLIPSIS for machine-dependent results in joblib.
new 1bccc55 Comment out machine-dependent tests from joblib.
new 4f93e16 Update Makefile
new 3b7d38b Welcome Mathieu Blondel.
new 399a371 Fix doctests from the tutorial.
new d6b4444 0.5 release candidate.
new 1ef7288 FIX: some setuptools oddities.
new 6058971 0.5.rc2 release.
new 8a900a9 Still fixing distutils oddities ...
new eba9984 0.5.rc3 release.
new 6ea8b88 pruning joblib external
new 9322dc6 Merge commit '8b26c79e7ba67dd614e84c3333ce845ee2edb049' into dfsg
new 726aa6d Web page update.
new 92258ec Add sparse ti glm/__init__
new 7206e80 Fix typo in docstring.
new 94ba2be Merge 0.5.rc into DFSG (pruning externals: joblib)
new 4a9c3b0 Merge 0.5.rc3 into DFSG (pruning externals: joblib)
new c2c3e4a changelog for 0.5~rc3-1
new 4edd2b5 adjusted gbp.conf since we now build off debian
new 1b1906a * Deprecated patches: - up_workaround_numpy_cython_issue589652 - deb_cython_0.12.1
new 6a15013 force distutils build system + to run tests against "installed" version + run doctests
new a31c5b5 boost build-dep on sphinx >= 1.0~ and cython >= 0.12~
new 9d02e90 doc extensions fix + tentative dfsg rule
new c29cd70 Merge branch 'dfsg' into debian
new 7b78b54 pruning joblib in favor of external package
new 50902c4 tracking changes from master
new f022ba6 adjusting gbp.conf
new 9353116 added patch deb_use_system_joblib
new ba758cb tentative patch for runtime verbosity control of libsvm
new 5ae7c5f removing carried version of libsvm in favor to use systemwide (otherwise svm.h inclusion conflict)
new 64bfb19 prune copy of libsvm sources from dfsg
new 14c5dc1 Merge branch 'dfsg' into debian
new 7d0fc75 finalizing libsvm verbosity control patch
new 9fc59ef pruning stale patch deb_cython_0.12.1
new 22dc5e3 adding in TODO to take care about external liblinear
new b64a55d trying to modularize rules a bit, move of .so away happens only at dh_pysupport time now
new da60c0c splitting svm control into 2 patches (cythoned changes separate)
new 5c4b52a renaming libsvm verbosity patch -- will forward upstream
new 6aeb742 up_system_libsvm_no_svmhdepends -- do not use shipped svm.h
new 2de4cd8 use installed version (not build/) + python-test% separate rule
new bfd7010 still need to install dummy joblib subpackage
new 5eee643 tune up testing against installed version
new 8a08afa Adding author and description for the patches
new 8e0f543 filled up patches headers according to DEP3
new f6eff0f debian/rules -- tests -- run in the same environment to preserve set PYTHONPATH
new bc7cae5 move doc building into installdocs, order rules in the order of their invocation, install changelogs
new 8852e3a DOC: removing a stale request for subversion write permissions
new 415c5e9 Allow to build _libsvm.so against system-wide LIBSVM's svm.h
new 6aa2e61 API to control LIBSVM verbosity without patching
new ce31b5b recythoning _libsvm.pyx for previous commit
new 1ec827a revert change to libsvm -- now verbosity is controlled via API
new f4dd0a6 enable more doc testing for test-doc Makefile rule
new f1f4bd3 adding acknowledgement to Dr.Haxby for my support ;-)
new d2ce657 Fix typo
new 1553baf Fix doctests from RST docs.
new 2bd2a68 Fix links in about page.
new 66e5b03 Cosmetic changes in install.rst
new 9b1dabf You want the truth well here it is.
new 7e69801 Add a link to the PDF version of the docs.
new 0f148e0 0.5 final release.
new e9d2961 Start of 0.6 development cycle
new 990bdbf Add note on executing the test suite.
new fecfae5 Update web page.
new a3476be Merge 0.5 into DFSG (pruning externals: joblib)
new 3df1a2d Merge branch 'dfsg' into debian
new 592ed41 removing patches aborbed upstream
new 76bb672 changelog for 0.5-1
new dc72677 Boost policy compliance to 3.9.1 -- no changes
new 4daa85c Add a note on complexity for SVMs.
new 21cd1b8 Fix indentation.
new 3255d16 Fix cross_val when y is a 2d-array.
new 06e39c9 Add refit option to GridSearchCV.
new 2c26ebd Merge branch 'master' into textextract
new 1cd2ab3 cosmit
new d6dbc80 more precise doc on SVM complexity
new bf85063 API changes to precision_recall
new b610b3e Fix consistency problem in the order of arguments for loss functions.
new 42564aa Add fbeta_score and f1_score metrics.
new 601ffe9 Rename roc to roc_curve.
new 77ef3cd Merge branch 'master' into textextract
new 2825308 Add datasets to __init__ file.
new ba8e530 Correct typo in docstring.
new 8bb9849 Allow access to multi-class SVM in liblinear.
new 1881139 Do not execute test coverage by default.
new 0a91492 Fix doctest in grid_search.
new 8e20af9 Merge branch 'master' into textextract
new 65eeaef lighten GMM tests.
new 5c99998 remove n_dim property (use plain field).
new bdf4d12 Fix and enable _covar_mstep_full in gmm.py
new f60a956 Cosmetic changes.
new 3cb198c FIX: explained variance is not symmetric: ground truth comes first
new ab87a5e Add tests for predict_proba in LogisticRegression.
new 89729bf FIX: ticket 147 on pb with 2d y in f_regression
new 4a36865 FIX: ticket 147 on pb with 2d y in f_classif
new 6d30958 ENH: Small optimization to BaseEstimator
new 58a432c initial checkin of sgd package.
new b7a1afb Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 65df6c3 adding 'iid' option in cross_val_score
new 2956f65 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new 1146598 Bindings for libsvm-dense
new 0bd1890 Update svm benchmark with latests libsvm.
new 3e00d98 Some fixes for libsvm-dense
new 920b7df set rho on 1 or 0 if L2 or L1 penalty.
new 21a99d1 l1 penalty implemented. different loss functions supported.
new dfae495 Use filter object.
new 5f9c342 More accurate info in examples.
new 8606d6f Update svm examples affected by latest API changes.
new 8e6adc9 DOC: Some docstring for libsvm low level API.
new 354a31f Add dtype parameter to CountVectorizer and SparseCountVectorizer.
new ca5c6ac Revert "DOC: Some docstring for libsvm low level API."
new 1a5f412 Revert "Update svm examples affected by latest API changes."
new e88a6a6 Revert "More accurate info in examples."
new 728f3f9 Revert "Some fixes for libsvm-dense"
new d1d3a83 Revert "Update svm benchmark with latests libsvm."
new fccc2ec Revert "Bindings for libsvm-dense"
new 4d2b376 pretifying plot_weighted_classes.py
new 88ab266 ENH: enhacements in the gmm module.
new e8d32c6 Make previous commit work also with old versions of scipy.
new 1ca639e No specific need that matrix is upper-triangular in gmm.
new d40c1ac Fix doctests in gmm (skip random ones).
new 52505e9 Revert "Fix doctests in gmm (skip random ones)."
new c7248c8 Revert "No specific need that matrix is upper-triangular in gmm."
new 3fab72a Revert "Make previous commit work also with old versions of scipy."
new 0ac6935 Revert "ENH: enhacements in the gmm module."
new 629527f Merge branch 'master' of github.com:scikit-learn/scikit-learn
new d6fd98c A few optimizations.
new d5c62cf Move sparse code to sparse module.
new 7525e14 Remove Sparse prefix from class names.
new a590150 Move preprocessing to its own module.
new 86fe26c Add Normalizer, LengthNormalizer and Binarizer.
new 85a1c4a Remove normalize option from TfidfTransformer.
new 626c7e8 Sparse equivalents of Normalizer, LengthNormalizer and Binarizer.
new 192e755 Bindings for libsvm-dense
new 58e30ff Update svm benchmark with latests libsvm.
new 5dfdd56 Some fixes for libsvm-dense
new f4e1f14 More accurate info in examples.
new 0ddfebe Update svm examples affected by latest API changes.
new 565f5eb DOC: Some docstring for libsvm low level API.
new 1bd45d8 Compile _libsvm_sparse in the sparse module.
new 774107a Add setup.py to svm.sparse
new 29005e4 Preliminary fix for naming issue in OSX with libsvm.
new 42c03c0 Add a namespace to svm methods to avoid same name mangling.
new 5e3fd29 Merge branch 'textextract' of git://github.com/mblondel/scikit-learn into textextract
new 5a5d9d5 Fix for building libsvm in a portable way.
new 75ac75e ENH: s/filter/preprocessor/ + docstring cosmit
new 1319279 ENH: more docstring love
new 7a344acf ENH: implement __repr__ for DefaultPreprocessor so that estimators __repr__ looks prettier
new a30698c cosmit
new 78e5a01 make the pipeline / grid_search object nicer to introspect in tests
new 79a860b FIX: make grid_search output deterministic even in case of tie on the scores
new 03880d7 Fix hierarchy inconsistency for sparse module.
new 3ac51e2 FIX: quick fix in predict_proba in LogisticRegression
new 16437d4 FIX: fix doctest with recent API changes.
new c3fe0a4 FIX: fix fragile doctest.
new 9fa7641 Updated liblinear to latest version 1.7.
new 4c9170d Make liblinear quieter.
new 2a4adcb Update classes to use new features from liblinear 1.7.
new b6f14db Move logistic into glm and add a sparse version.
new 1ac91af Doc: better tests for logistic.
new b77189b Fix imports in example.
new 97d0af1 removing debug compile flags
new 2847e3d added class encoding. added tests added l1 final penalty.
new dd82f49 does not belong to the repo.
new 8ce4c64 Merge branch 'master' of git at github.com:pprett/scikit-learn
new 0009295 Code review from Alexandre: - PEP8 - removed cython annotation file from repo
new 394b22e Merge branch 'master' of github.com:pprett/scikit-learn
new 6580023 removed unnecessary print statements. added mlcomp example atheism vs. graphics.
new d9ddde0 mereging pprett sgd work while tracking master
new b31e742 mark heisentest as skipped: it randomly passes 3 out of 5 times on my box with pyamg installed
new 414c342 Merge branch 'master' into sgd
new 68634d2 kill evil tabs
new 86ef9e0 cosmit
new e4ac71e cosmit on example
new 4af396d cosmit: PEP8 + some missing docstrings
new d6517b9 more cosmit
new 94b6d6e more cosmit
new 280eaec sgd module code review
new ec168a3 merging with alexandre's fixes
new ca77c79 100% code coverage.
new 0a6f6d1 added doctests to SGD and sgd.LinearModel
new a8dbb64 change GMM initialization to use cluster.KMeans
new cd1e6c9 change GaussianHMM initialization to use cluster.KMeans
new 644ef2d fix broken doctests: they are space sensitive unfortunately
new 314c687 merge
new 1d7be88 Merge branch 'master' into textextract
new 21e5c2b better way to load folder / files dataset
new 458527f porting the sparse document classification example to the new API
new a81288d fix bug in hmm.GaussianHMM mstep update for 'full' covariance
new b4ab535 Reapply "ENH: enhacements in the gmm module."
new aec6fd3 fix gmm examples
new 6ae9bcd initial checkin of sgd package.
new 0b22231 set rho on 1 or 0 if L2 or L1 penalty.
new 1e61592 l1 penalty implemented. different loss functions supported.
new 843fe8b added class encoding. added tests added l1 final penalty.
new 02a0711 Code review from Alexandre: - PEP8 - removed cython annotation file from repo
new b99f7f4 cosmit: PEP8 + some missing docstrings
new e84b4ea sgd module code review
new 29e3afb 100% code coverage.
new e0665ed added doctests to SGD and sgd.LinearModel
new 6845dad Fix doctests in sgd module.
new a55454b Welcome Peter.
new a95f39e Avoid iterating over features in gmm.
new 2ae5c65 merge
new 03aa2ba Merge commit 'origin/master'
new a4f9428 initial *draft* of the sgd module documentation added.
new 295cb3c added Readme so that sphinx stops complaining.
new 561afe3 additional documentation for sgd (plot of various convex loss functions). TODOs in sgd_fast_sparse.pyx done.
new 75fa2b1 Move common sparse code to SparseBaseLibLinear.
new 78febeb Fix Sparse Logistic Regression.
new 1de02f8 Import LogisticRegression in sparse/__init__.py.
new b0eb68c Merge branch 'master' into textextract
new e4cb713 Activate class_weight option in fit() for liblinear-based classes.
new 89462bb Merge branch 'master' into textextract
new 6634501 adding path example on logistic on IRIS dataset
new bd4c595 Merge branch 'master' into textextract
new 5f40147 math formulation cont'
new db9b839 penalty contour plot added.
new 3fcb7cf PEP8 + better docstrings
new 8131033 FIX: add missing README.txt file for the sgd examples
new af56466 more SGD documentation added: example, math formulation , implementation details. adopted the seperating HP example from the svm package for sgd.
new 7685c9e ENH: more cosmit, docstring, test cleanup for the metrics module
new f407247 EfficientBackprop reference added.
new c34ca71 cosmit
new 02b56e7 Documentation for sgd polished. SGD.predict_proba for log loss implemented.
new 6e02554 Merge branch 'sgd'
new 694de78 fixed doctests after SGD class index refactoring.
new 323a5d3 BUG: Make sure that grid_search works with sparse data.
new b2842d3 Removed tabs.
new 9840e55 implemented OVA for multi-class SGD.
new 49d89c5 implemented OVA for multi-class SGD.
new 053e88e register the SGD chapter in the user guide TOC
new 8698230 PEP 8 in metrics module
new 6b52139 ignore generated doc elements
new 297ccc4 some more cosmits / PEP8
new decbabe more PEP8
new 22a8ecb helpers to use tags with vim / emacs
new 9d563a6 Make it possible to pass explicit labels to confusion matrix
new 766c244 make binary classification recall explicit
new 9995c11 factorizing code to make it easier to do the multiclass refactoring in one place
new c3d7e15 fix bug in GMM._get_covars dimensions
new eef4224 make HMM interface consistent with GMM
new ddbc043 refactored test_metrics to handle the binary case explictly and make room for the multiclass case
new a11b38c test precision recall for binary classification
new 002d02a clean up interfaces in hmm and gmm
new dbdb8a6 remove n_symbols argument from MultinomialHMM.__init__
new d7b270f more code factorization: fscore joins the party
new 9a1cc99 and you thought you could escape the PEP8 screening
new 9f2057d missing test for f1 output
new 748fa6e cosmit
new 1689be0 Hello list,
new a4c34b8 extract label extraction logics
new 1a167c1 ENH: make precision, recall and f1_score handle multi-class
new e116317 removing test for multi label perf evaluation
new 48e818e FIX: area under curve: recall is x and precision is y
new 9372c35 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 678ae5e add GMM classification example
new 08c3a68 Correction of a bug with the management of the dimension of the autocorrelation parameters.
new 1b98de4 Forgot to retire pdb.
new 9698787 Merge branch 'master' into issue-155-multiclass-precision-recall
new c47cec2 MISC: Cosmit in new GMM classifier example
new aee1cae Merge branch 'master' into issue-155-multiclass-precision-recall
new 0f2eed4 DOC: Make the plot_ica_vs_pca example richer.
new 03e75d1 MISC: Some tweeks to the layout so that the docs display better on a narrow window.
new 18e2a6d DOC: Fix title level in install
new 9c08a28 ENH: new utitity in metrics module: the classification report
new 711fb44 DOC: make the index page content clearer
new 08b30d3 Fix slicing issue when using sparse matrices.
new 19f4a8c Y -> y (capital letter is for 2d-arrays)
new 2aa6f27 MISC: Explicit acronym
new d0828de showcase the new classification report in the examples
new 6475d14 MISC: PEP8 in docs
new 4508428 add detailed performance report to the digits example
new 08e8c9f DOC: Change the titles' layout
new ba96f17 Merge branch 'master' into issue-155-multiclass-precision-recall
new c066b89 increasing precision in plot_logistic_path.py to get nicer path
new a52a532 Raise exception when X_train.shape[1] and X_test.shape[1] don't agree.
new 0ab7588 DOC: Rewamp the tables of contents and corresponding layout
new 0d90775 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new d4e2303 DOC: Make sure the docstring of pca render well
new ac49fff DOC: Remove empty section
new 2a76cbe tracking changes occurring on master
new ef09cbe DOC: Add documentation for ICA/PCA
new b73d09a DOC: Remove useless tables of contents
new ca5010d Add more sanity checks for svm with precomputed kernels.
new 1b09294 DOC: work on the clustering documentation
new 64e7324 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new b18af3f DOC: spelling
new 6631428 ENH : pyflakes on examples to avoid useless imports + addint print __doc__
new 2d5788f cosmits
new d3bd458 ENH: handle support to do weighted averages of P/R/F scores
new c810c95 DOC: Tweak in the clustering docs.
new 21475c3 scalar scoring functions for P / R / Fbeta
new d8d7e5d s/explained_variance/explained_variance_score
new 0837e3b make the distinction between loss and score function more explicit
new aeaa85b DOC: document with more details the GMM module.
new c8711cd Merge branch 'master' of github.com:scikit-learn/scikit-learn
new f5bec85 Merge branch 'master' into textextract
new 58b7aff spelling
new 29bc603 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 576b38b make the grid search able to use an arbitrary score function
new 296ab65 clarify GMM classifier labels
new def4b87 Merge branch 'textextract' of git://github.com/ogrisel/scikit-learn into textextract
new 7ad238d DOC: make the neighbors doc sexier
new e003e90 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new cccbc8c Merge branch 'master' into textextract
new 1e3df61 removing the hashing vectorizers code that need a full rewrite
new ec1514a ENH : more love in examples (adding print __doc__ + some brief descriptions in headers + fixing Anova SVC Pipeline example)
new 7a2b803 FIX: fix docstrings in LARS (issue 8 on github)
new b233039 Merge branch 'textextract' of git://github.com/ogrisel/scikit-learn into textextract
new 526c0be Merge branch 'textextract'
new 95e6482 Convert sparse matrix to CSR format in grid search.
new b18b906 Fix imports.
new 237370b Pass kwargs to mlcomp loader.
new cf0c08c Fix SGD-based binary classification example.
new c6b564c Note on fit_transform.
new 41aef36 Merge branch 'master' into ova
new dad8deb SGD supports multi-class classification using one-vs.-all.
new 9319bd3 SGD multi-class documentation added.
new de4caee SGD classifier supports multi-class with OVA.
new 41853ac documentation for multi-class sgd updated.
new 012744b update SGD example to showcase the new OVA implementation
new b6cd699 Cosmit: explicit what OVA means as much as possible.
new 2ceca5c cosmit in k_means module
new 1971791 FIX: better k-means tests + fixed broken array init
new d22c4f6 FIX: potential division by zero in scaler
new 1643abe FIX: fixed more cheesy NaNs than an Indian restaurant in Paris
new 76f5b54 New example to demonstrate the KMeans API with various init strategies
new 0e7549a Test compute Gram matrix with support vectors only.
new aead101 cosmit + typos in doc
new c84ce87 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 41128af Activate stop word removal by default.
new b862a31 Add vocabulary property.
new fada652 Changed docstrings for coef_ and intercept_ in sgd package. Wrap intercept_ in an array in the case of binary classification.
new 077e7ef Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new 3da4b3c Liblinear docstring modified: deleted irrelevant attributes support_ and changed shape of intercept_ and coef_ accordingly.
new 13e059f Added dense implemenation of SGD. Modified plot_separating_hyperplane to use dense instead of sparse version.
new 8233848 Merge branch 'dense' of github.com:pprett/scikit-learn
new 9ea143a Commit broken cython header import. See thread "Sharing Declarations Between Cython Modules" on the scikit-learn mailing list.
new cf19455 moved sgd_fast_sparse from sgd/sparse/src to sgd/src. ImportError stil present.
new 5c49a6a Moved sgd extension modules from sgd/src to sgd. Updated setup accordingly.
new 7f153e4 performance improvements in cython files; cython files rebuild. test cases refactored.
new ee8d60e added covertype example for dense sgd.
new 11b1b79 bugfix in plot_loss_functions (import loss functions). added dense SGD to documentation.
new 3c82e5e covertype example now downloads dataset automatically.
new 9d5e16b trailing spaces holocaust
new e850cf7 let me introduce the culprit of the last checkin
new b3c6695 Merge branch 'master' into dense
new 2720bd8 more trailing spaces cleanup
new 2ebd632 Updated sgd documentation with multi-class documentation. Added decision surface plot of iris dataset for sgd. changed covertype example.
new d2774e6 ignore downloaded data from example
new f92bc36 Various improvement in low dim classification example
new 8a72123 Merge branch 'dense' of git://github.com/pprett/scikit-learn into dense
new f92c8da remaining conflict markers in previous checkin
new 7c24d50 cosmit in SGD example
new 64cf4f7 s/libsvm/liblinear/ in classification example
new cb46e57 remove the dependency to explicit ABC to keep 2.5 compat + PEP8
new 2e980bc make the dense SGD code & docstring more readable
new 22667ac more precise docstring in base SGD class
new c00b843 forgot to finish a sentence on regularization in a docstring
new 09fc1e1 more docstring love
new 4fef7da cosmit
new 65361d8 use multi proc in multiclass SGD by default
new 8a5a50f cosmits in SGD tests
new 7b1fc52 more comits in the sgd tests
new d6b829f cleanup
new 1b74a9c cosmit
new e9ad1ca better test file name
new 83bde98 reuse the dense SGD test suite for the sparse variant using test case inheritance
new 02100fc cosmit
new f35ce7e add GMM.predict_proba
new e3fe8b4 add default initialization of GMM.weights to constructor
new eca22e7 cosmits in the SGD pyx files
new cd74e32 rename GMM.n_dim to GMM.n_features to be consistent with the rest of the scikit
new 29356ef more cosmit in pyx files
new 1418c7b add HMM.predict_proba
new 9583c7a more cosmit in example
new 431d8f4 rename HMM.n_dim to HMM.n_features to be consistent with the rest of the scikit
new 60c2a25 fix pep8, pyflakes errprs
new ca7b39a Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 9db2bdc PEP8 in SGD tests + docstring
new ba6f0dd Use n_jobs=1 as default value in SGD module.
new 1b27811 docstrings: n_jobs defaults to 1.
new 526a091 better looking docstring for sparse sgd
new da54f24 more info on loss and penalty params for sparse SGD
new c740c07 Fix small typos.
new aa6cffa cosmit: color of data points matches color of decision regions and OVA hyperplanes.
new 6446631 ENH: adding partial support for predict_log_proba in Pipeline and log reg
new dbbcf92 propagate spelling fixes to the dense SGD docstring
new e7c11d9 ducktyping in analyzers
new 0cbd220 work in progress on vocabulary dimension restriction
new 5139300 merged the mainr epo
new 19eb852 small fixes + updated the tests
new 518f28a cosmit
new 05e43c3 add note on fortran contiguous memory optim for the X array
new 7f42d5d Merge branch 'master' into textextract2
new 1822d00 OPTIM: vectorizer with predifined dictionary 5x faster by eliminating scipy.sparse.vstack calls
new 7ddce98 some optims in the text preprocessors
new a7dd03a OPTIM: sparse vectorizer uses COO a init
new 1abd070 multi-line print cosmit
new 426dc63 use a SGD model in the mlcomp demo since it is the fastest for this problem
new 9498502 cosmit
new 9ae02dc make it possible to do fancy indexing on filenames
new a21319d move the mlcomp SGD example as a generic 20 newsgroup classification example with sparse features
new 0492a5c Cosmit
new 7bc6081 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new f3e3fcd MISC: Recover changes overidden by manual merge.
new f302617 Make max_df to 1.0 by default.
new 7bdfa82 Update matrix type in documentation.
new fe058f0 Fix broken test.
new 7816697 warm start optimization changed from coef_ to init_coef_ and intercept_ to init_intercept_. Modified multi-class SGD: now self is not passed as a parameter to joblib but rahter its attributes. Documentation changed accordingly.
new c52da98 Multi-class documentation for module sgd added.
new c193506 Unique URL for release-specific doc
new 893a447 Cleanup in libsvm bindings.
new e0ef8e0 Cosmetic changes in gmm.
new 18534b6 Improve docstrings in metrics.py
new 428c567 Cosmetic changes
new fe0d05e DOC: Add new installation media and a note for pythonxy users.
new dea782c FIX: prefix with plot examples that produce output image.
new ce9f68e New implementation of LARS algorithm.
new 1ebb8a2 Add a test for lars_path.
new 08ad1b3 Fix typo (wantto -> want to)
new caf832b cosmit
new 60002fd better pipeline notation in vectorizer + classifier grid search example
new 60464a5 4 more years!^W^W^W 1 more test for vectorizers with max_features
new f061783 Include models with L1 and Elastic-Net penalty. Optional arguments for printing the classification report and confusion matrix.
new 337f25f cosmit
new fa5cf87 changed init_coef to coef_init (intercept likewise). Changed coef_init to fit parameter.
new af313bb Merge branch 'warmstart'
new d36dda3 rewriting f_oneway in the scikit to avoid useless recomputations and 3 duplicates of the data in memory. It should probably be fixed directly in scipy. Adding test to make sure that both functions give the same results + a bit of PEP8
new 04acf56 Merge branch 'master' into log_proba
new 44352e8 factorize out shuffling dataset since it might be useful by default
new 55c2330 new example on how to use pipeline / grid_search for extraction parameters
new 2f03f9a adding comment to explain the reimplementation of f_oneway
new b8ab93c Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 2883dc8 Merge branch 'master' into log_proba
new 5376e39 typo
new cd76552 Commit of a 'Gaussian Process for Machine Learning' module in the gpml directory. The module implement a class named GaussianProcessModel. I also add doc, examples and tests (involving a coupling with the cross_val module).
new 011e0c2 Correction of a bug in test_gpml.py (now runs perfect on my machine!). I just don't know how to involve this test within the whole scikit testing procedure (nosetests). Also add a modification of the TOC in doc.
new 7dcad4a Correction of a bug in the basic regression example.
new e8619da Delete the old kriging.py module
new f8a8d43 sample run output in the grid_search_text_extraction_parameters example
new 7e3f1d4 reST formatting of example
new 6f315a6 cosmit
new 8277a24 better title for the mlcomp example
new 0961bcf better example filename
new eeb0168 reference new example in the documentation of the grid_search module
new 6e474fe Modification of the score function. The score function now evaluates the deviation between the predicted targets and the true ones. This is for convenience only because it allows then to use the distributing capacity of the cross_val module. The old score function is renamed with the more explicit name: `reduced_likelihood_function` (see eg the DACE documentation).
new dd637c2 Modification of the main __init__.py file of the scikits.learn package in order to load the gpml module and tests.
new dbfd17b Renames as suggested by Alexandre. Simplification of the examples. Remove the interactive contour label picking in the probabilistic classification example.
new b89c762 Bugged example after modification. Now correct!
new cecbb13 cosmit
new 1167f37 Added new example on modeling the geographic distribution of species. Showcases some advanced plotting tools for python (e.g. basemap). Uses OneClassSVM for density estimation - probabilistic outputs would be nice...
new 5077393 I Ran the PEP8 and PYFLAKES utils and corrected the gaussian_process module related files.
new d81d52d Can't comply with contradictory PEP8 rules on some specfic code such as: y = function(- x) : it asks for spaces around operator, but spaces after parentheses are not allowed :(...
new b597363 ENH: automated class_weight for SVC on imbalanced data
new 7b6b1f6 class_weight="auto" for liblinear-based and sparse classes.
new 2aef9d4 Merge branch 'speciesmodeling' of git at github.com:pprett/scikit-learn
new cf6fd1e added species distribution example as plot example. added the two data archives and directories to gitignore (both for root and doc directory).
new fa53cd4 if possible, species distribution example now uses basemap by default.
new 2d2dfb8 deleted old species_distribution_modeling example.
new 1285539 cosmit: pep8 and author
new 428d457 removing use_svd option in LDA. Only scipy SVD is supported. + PEP8 in LDA/QDA
new d59b35c Merge branch 'master' into log_proba
new 7cc2577 ENH: adding predict_log_proba to LDA and QDA + tests to reach 100% coverage
new 8f4b156 ENH : adding support for predict_log_proba in Naive Bayes
new e6e13f1 ENH: adding support for predict_log_proba in SVC and sparse.SVC
new 58ecc20 ENH : adding predict_log_proba in sparse logistic regression
new 226a871 remove obsolete bench_lars.py
new 86eabc1 FIX: replace nsamples --> n_samples in svm docstrings.
new 68036a7 I removed the time-consuming test and made a regression example from it.
new ce38790 FIX: make sure class_weight='auto' do not change the result for balanced problems
new 845acfa Merge branch 'master' into log_proba
new 84b9963 API : implement coef_init as fit parameter in glm.coordinate_descent module. Warm restart is not the default behavior anymore.
new 8daafda API: exposing fit_intercept params in LassoCV and ElasticNetCV FIX: making sure that X and y are not centered multiple times in *_path functions
new e308765 ENH : adding test in pipeline + increase coverage
new 13bbcc6 fix doc generation pb introduced by previous commit
new 971a8d5 Reduced memory consumption in covertype example due to memory leak in np.loadtxt.
new 68300d8 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 7efcff4 Replaced np.matrix(A) * np.matrix(B) by np.dot(A,B), so that the code is a lot clearer to read... Implemented the solve_triangular function accounting for backward compatibility (following Fabian's trick).
new dc1c7e7 Removed plotting command from the examples in the GaussianProcess class docstring.
new 9d35f4c Remove BaseLib class.
new ce2d716 Implement make html-noplot for building the doc.
new 4e36414 FIX: fix class weight auto
new 4524896 Added note on the importance of shuffeling. Minor changes in text.
new f0de23c Runtime improvement of species distribution example (fancy indexing).
new 2f7e6a0 set basemap as default.
new ef29d5a Class weights for SGD similar to svm package. Same heuristic as Liblinear for multi-class (OVA): use only weight for the positive class.
new 6cb85a1 BUG: Fix metrics to run on 2.5
new 1622c42 removed parameters `p` and `C` from OneClassSVM (dense and sparse). Completed parameter list of SVC, NuSVR, and OneClassSVM.
new 238ab74 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new da3f3fa added tksvm from git://gist.github.com/673953.git.
new 074be5e use np.fromstring to load data from large csv text files.
new d22c9ec Fix math rendering in SVM documentation.
new 264a789 Simplification of input's shape checking using np.atleast_2d()
new 512e670 Update libsvm docstring with latest API changes.
new 60f72c9 Rename predict_margin --> decision_function.
new 600d2a5 Indentation fixes in libsvm bindings.
new e42d4ea changed predict_margin to decision_function
new 29f3fad Performance improvements in LARS.
new 06c2b17 more s/predict_margin/decision_function/ in examples
new 8993f8a Changes in format of the fit() input (np.atleast_2d for X, and np.newaxis cat for y).
new 5233f8e Force y to np.array before concatenating np.newaxis in fit().
new 50f9d90 FIX: typo in custom score_func in grid_search
new 8fbc770 Modifications following Gaël latest remarks.
new a95fd66 Added Welch's MLE optimizer in arg_max_reduced_likelihood_function() plus reference in the docstring.
new 30b8958 Correction of a minor typo error in correlation_models docstring
new ba35ae5 initial face regonition example using eigenfaces
new f88088b FIX: better handling of NaNs in precision / recall / f-score metrics
new ade2f19 Merge branch 'faces-example'
new 6b5f857 face recognition example using eigenfaces and SVMs
new 1b1bee0 more explicit subplot titles
new 570d3c2 ENH: Cosmetic improvements to the face example
new b2b1e9c Adding random projections SVD to scikits.learn.pca as an option
new 8cf803d MISC: Cosmit+Doc in fast truncated PCA
new 4b310a6 cosmit
new fdd5bd3 Better heuristic in LARS.
new 569aac8 MISC: Remove redundant code and cosmit
new 85e3370 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new e50c37c ENH: Update embedded joblib to 0.4.6
new 51438e4 Merge branch 'svmgui'
new 77605f7 ENH: import symbols on subpackage's __init__
new 126c038 API: Return self in _set_params
new 7f4e6d5 added GUI example for SVM. Example now shows support vectors.
new b90d36e added tksvm from git://gist.github.com/673953.git.
new fa04de9 added GUI example for SVM. Example now shows support vectors.
new c6d7818 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new ac76435 Merge branch 'importanceweighting' of git at github.com:pprett/scikit-learn
new ab42993 BUG: svm_gui: C is not defined for OC-SVM
new 88bad1f RegressorSGD added. Changed SGD -> ClassifierSGD added regression example.
new dede5c4 Merge branch 'master' into importanceweighting
new 905d0e2 changend "squarederror" to "squaredloss". fixed weighted class example.
new 61b3753 ENH: Raise error when cloning bug estimators
new 72a0c56 Add support for np.float32 matrices in lars_path.
new 16845d9 Add parameter precompute='auto' for *LARS classes.
new 5571f7e Some LARS refactoring.
new f00bdfa Rename scikits.learn.gmm to scikits.learn.mixture.
new b80b6bb Improvement of the documentation with a piece of code and reference to the regression auto_example. Add a README.txt file at the root of the examples/gaussian_process directory.
new ea9bce7 From: agramfort: don't use capital letters for a vector. Y -> y. Done!
new a516587 Forgot to retire pdb... Again!
new 4bc781b Forgot one capital Y in the piece of code of the RST docpage.
new e771f4e BUG: Deal with 1D data in preprocessings.
new e80be9e BUG: fix cross_val and GridSearch in unsupervised.
new 487b25b automatic refitting on radiobutton change and add example. changed button caption to fit.
new 8e9b35e Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new d739aa9 Removed trailing spaces in the RST doc page. Removed useless comment blocks in the code.
new 2877985 BUG: Fix GridSearch in unsupervised
new d2ec8a3 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 4d8dff6 metrics.explained_variance was renamed to metrics.explained_variance_score so that I needed to modify this example.
new b27d3c5 BUG: Fix the doc-generation of examples
new 8e9ac4f Cosmit
new f828e65 MISC: Fix example
new 439f734 DOC: minor changes in gaussian_process docs
new 22e81ea BUG: Fix missing gaussian_process subpackage in setup.py
new c869ec3 FIX more missing files in setup.py
new c37538b API: Remove long-depreciated function
new d6cbe7a BUG: FIx doctests broken in previous commit
new 8df209b Update developers info.
new 3c264be Add GridSearch and GridSearchCV to the class reference.
new 51003b2 Update svm docs (content of dual_coef_).
new 6826edc Account for lower=True option in solve_triangular.
new c98e6db Do not import gaussian_process from top level __init__.
new 5fb02c0 update NuSVC docstring.
new eda5098 changed loss function names in SGD (squaredloss -> squared_loss; also for modified_huber). Fixed examples after SGD class renaming. COSMIT in sgd documentation.
new 9ee59dd Fix failing doctests in gaussian_process.rst.
new ffb77ca Fix GridSearch does not exist.
new 2fed2ab Give credit for web page layout.
new 68bc58d glm --> linear_model rename holocaust.
new f20d516 Welcome Vincent Dubourg.
new 26bc62e Update AUTHORS information.
new 928306f DOC: documentation CD Enet fit parameters
new ecce971 Initial support for weighted samples in svm module.
new f6a22f6 Cosmetic changes to web page layout.
new 2573ebe Fix example paths for GMM after renaming.
new 093ad2a Update class reference list.
new 817b17a Cosmetic changes in documentation.
new cb07c3e Add sgd.* to class reference.
new cec8e33 Move benchmarks outside the source tree.
new 7b2d98e Fix precompute keyword in LARS.
new 544258d Update LARS benchmarks with latest API changes.
new 482bacc DOC: Cosmit in docs
new a63dfb4 Removal of the submodule relative imports in the toplevel init file. I was able to run all tests without any error nor failure. I was also able to build the html doc (so all examples run fine). @Gael: if you confirm this by pulling my branch, then I'll commit this to the master.
new 320ee33 DOC: score is reserved to 'better is higher'
new 33a0f4e DOC: Better plotting in RFE example
new 2d0ce09 FIX: actually truncate the SVD to make it faster + add some test
new 6c1c6c3 forgot the test file in my last checkin...
new 8fa07c3 drop the warning since useful even if approximate as demoed in the faces example
new 6a5d4c2 make fast_svd deteriministc by default while allowing to pass rng seeds
new 1d2a66b test singular values as well
new 3976608 Adding the power iteration parameter to fast_svd (to make it better in high-rank very-big very-sparse matrices according to the Martinsson et al survey
new 29480da Merging the rng changes
new c9abe50 pep8 in plot_weighted_samples.py
new 01e93e7 ENH : adding kneighbors_graph to build the graph of neighbors as a sparse matrix MISC : pep8 in neighbors module
new 034a5dd FIX fragile doctest
new fc5da45 new benchmark: comparing SVD implementations
new 327be9e remove useless import
new c0b4aa4 ENH : adding NeighborsBarycenter for regression pbs using k-Nearest Neighbors API : change api for kneighbors_graph function
new 531f25f more documentation on fast SVD + missing reference
new 6f54797 DOC: adding NeighborsBarycenter to doc
new e86ffc1 DOC: better docstring for barycenter_weights function
new 9b4281e DOC: even better docstrings in neighbors
new dff3752 MISC: reindenting BallTree C++ code (no tabs + 4 spaces)
new eb76161 DOC : more on docstrings in neighbors.py
new 5a5d2fc PEP8 + various cosmits in sample generators
new 078bee9 more tests for the iterated power refinement of the Martinsson randomized SVD
new 734467a ENH: make the PCA transformer use the iterated power refinement by default
new f068df4 review of gaussian process module
new cd8c6b0 one more test for SVD
new cb50708 Cosmetic changes in plot_weighted_samples.py
new 9c4cdc2 Add cross-references between LassoLARS and Lasso.
new 8ef1fa4 Welcome to Alexandre Passos
new 46a3108 API renmae k->n_neighbors
new dd3ba58 added Oliviers ElasticNet convergence test to SGD.
new 0dcfcd7 move sgd into linear_model and rename sgd to stochastic_gradient.
new fe66255 finalized sgd module renaming. renamed ClassifierSGD to SGDClassifier (same for Regressor) updated setup.py files updated examples updated docs
new 1d69a72 Barely functional NMF implementation.
new 6699ab2 Updated the example with doctest tags.
new f2dc157 ENH: Small tweak in BaseEstimator repr
new e61c7df OPTIM: do not allocate a (n_samples, n_samples) temporary array with scipy.linalg.qr when (n_samples, k + p)) is all what is needed
new cdeee0d OPTIM: fast_svd now has a auto transpose mode that switch to the fastest impl
new 1b609c1 cosmit
new 560c6c7 More rename in the sgd module.
new f300323 switching back to scipy.linalg.qr with econ=True to avoid half-installed numpy issues with wrong lapack bindings
new e96467c ENH: prettify web page layout.
new fea5d18 Some love for scikits.learn.svm.
new 0f51919 Cleaned some syntax, implemented more flexibility.
new 97259f0 FIX web page layout for very long paths.
new 07fa9c5 Update LARS documentation.
new 8ace83f Fix for linear_model.rst
new cd0fff3 More love for rst docs.
new d102d22 moved sgd examples to examples/linear_model and added sgd prefix. minor fixes in some examples. updated sgd.rst
new 182a40f Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new 2aa32c1 Merge branch 'master' into sgd-rename
new e993fe1 ENH: Add control of the dtype in img_to_graph
new 313cdf2 ENH: dtype is img_to_graph defaults to input dtype
new 5263595 COSMIT: smaller data points
new 9df6c7f updated SGD documentation (referenced in linear_model.rst and classes.rst). COSMIT in stochastic_gradient.py docstring.
new fdc0aa0 Merge branch 'log_proba'
new cc11039 ENH : improving the speed of ridge with inplace computation + symmetric pos def constraint
new 52f9e46 Merge branch 'neighbor_barycenter'
new 46a2d55 fixed imports in non-auto examples. COSMIT import paths in plot examples. Rephrased SGD outline in linear_model.rst
new a990780 BUGFIX in sparse.SGDRegressor added more tests for SGDRegression
new ac851c7 Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
new 7fceccb Merge branch 'sgd-rename'
new 4384f2d Like it or not, we depend on setuptools.
new 085544e Use original diabetes data as shipped by the R package lars.
new ccb58f1 rename lars --> least_angle
new 2057dd9 Remove duplicates in linear_model/__init__.py
new dda59b5 FIX: numerical instability in Rdige regression tests
new 3a4d8d4 cosmit
new dbacdf8 new example: principal eigen / singular vector of the wikipedia graph
new 913f9de Better docstrings in the example
new ac42e38 simpler SVD benchmark: use the sample_generator utility and fixed effective rank
new 10bb5bc scikits.learn.gmm -> scikits.learn.mixture
new 9847703 moving real word examples to the applications subfolder
new c3c0ae1 better gitignore data archives
new 7b68216 s/_sparsedot/safe_sparse_dot/g
new dd71ace even better .gitignore (teasing...)
new 5add50c cosmit on PCA module
new fef0018 avoid global variable in test
new 529c84f Fix typo.
new 4cf4025 Use relative imports in datasets.
new ee33d7b FIX: sparse svms do not accept callable kernels.
new 1d30b96 py3k fixes: callable has been removed.
new c7832c5 Py3k compatibility
new 758e5c5 Remove redundant site.cfg parsing.
new f64e31c Update status of py3k support.
new 5cee9a3 Cosmetic changes in LARS.
new bb9aa25 ENH : coordinate descent speed up when n_samples > n_features in cd_fast.pyx
new ea494a0 ENH: make the PCA transformer perform variance scaling by default + update the face recognition accordingly
new 29d1f2b ENH : allowing Gram matrix precomputing in Lasso / ElasticNet to speed up fitting when n_samples >> n_features. precompute='auto' is used to do what's best depending on the dimension of the pb like in LassoLARS
new c3efcd9 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new ef52e14 FIX: GridSearchCV refit did not propagate the fit params
new 7e2777d switch whintening off in PCA by default + ensure unit scale + better docstring
new 42c246b use a grid search for the SVM params in the faces example
new 0992637 updated lasso benchmark to showcase the region where LassoLARS is faster than Lasso CD
new 86fe600 OPTIM: ensure lasso_path aligns the data only once in if not alread fortran contiguous
new 494dd3f ENH : speed improvement in lasso_path with precomputed gram matrix - removing code duplication between lasso_path and enet_path - regenerating cd_fast.c with cython 0.13 (faster)
new 4f58c2a Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 8139fff pep8 in coordinate_descent.py
new 8499379 gaussian_process module changes: - a few cosmits in the examples - implementation of real built-in score function for the GaussianProcess which evaluates a leave-one-out estimate of the determination coefficient (as usually done w/ this kind of model).
new 5142eb6 pep8
new 157fc0a ENH: LassoCV / ElasticNetCV now uses all folds data + example
new f88ca8c ENH: make the LassoLARS and LassoCD path examples easier to compare
new 81b911c make MSE plot of LassoCV more readable by scaling the y axis
new cfe2ed8 FIX: update broken tests by last checkin
new d9c7d80 switch to base 10 for the alpha logs in the Lasso CD path plot
new e5ce482 revert the plot style to the LARS paper conventions
new 8ff35e0 select the best alpha using the mean of the CV MSEs instead of the median
new c6822e3 Fixed svd-based initialization, fixed example
new 1a40057 cosmit: += assignement replaced by plain = in coorinate_decent (more natural, less confusing)
new a2639ac ENH added R^2 coeff which is now used as score function in RegressorMixin
new 4cffab4 renamed explained_variance_score to r2_score in linear_model
new 97d3f1c adding r2_score : fixed typos and doctest
new 426f3c7 FIX: correctly add depends files to setup.py.
new 569a39d Make libsvm recognize labels in increasing order.
new f98502c Correct array size in decision_function docstring
new 665b2a5 TEST: sanity check on decision_function.
new 60391e0 Inverse sign in decision_function.
new 443d91a No need to sort predict_proba any more.
new 87ace90 Add a comment on inverting the sign of decision_function.
new 24d919d FIX: order of indices of support vectors in multiclass.
new 0bbf933 Shuffle globally for iris in test_svm.
new 591bc15 Divide parameter alpha / n_samples for consistency with Lasso.
new 3a9a72d Cosmetic changes.
new 25b7bff extract the randomized SVD implementation as a toplevel class able to handle sparse data as well
new d7609b3 consistently rename n_comp to n_components
new b6dfcc0 Merge branch 'master' into sparse-pca
new aaf1a06 update doctest to handle the change in regularizer strenght definition in LARS
new 01be9a5 FIX: typo s/mean/mean_/g in RandomizedPCA
new e39f23b Merge branch 'master' into sparse-pca
new 604e8b7 sed -i "s/\<n_componentsonents\>/n_components/g"
new 6074856 SVD benchmark have a consistent filename
new 90ac3a0 factorized out correlated regression dataset utility function and updated benchmarks
new 7b94a59 pep8 + N->n_samples and D->n_features
new 0d65b1f do not allocate useless memory in make_regression_dataset
new 17de0a9 launch test on documentation by default when running make
new 90f962d cosmit
new c5671db OPTIM: do not precompute r2_score_ in ElasticNet in the fit call
new 264629b do not precompute explained_variance_ in linear model: can be too costly: use r2_score when needed instead
new 9514c28 new benchmark for lasso path implementations
new 897aca3 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 57da10f giving more love to benchmarks (pep8, pyflakes, var names, etc...)
new d0a1d6c Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 45beef4 revert previous commit regarding mpl_toolkits.mplot3d in bench
new 89377b9 API : maxit replaced by max_iter everywhere API : removing default computation of r2 coef in coordinate_descent (speed up + can be accessed simply eg. lasso.score(X, y))
new 0573d9f merging master
new dbd3a32 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new c09ecff Cosmetic changes in lars.
new 11de158 Update .mailmap
new 62e133c ENH : new scikits.learn.metrics.pairwise module
new cb3326c Merge branch 'gaussian_process_review'
new 5141451 temporary test fix for refit instability in linear SVC: a bugfix branch will be open to reproduce the issue
new c1e00cc Merge branch 'master' of https://github.com/dubourg/scikit-learn into dubourg-master
new 2da02ab pyflakes in plot_gp_diabetes_dataset.py
new 94f38b9 renaming plot_gp_diabetes_dataset.py as nothing is plotted
new 2073d9b Wrote a few test cases.
new 621f00c Merge branch 'master' into nmf
new 3b0a75b Merged upstream changes
new d8620ed FIX: fix bug in sparse liblinear: bias parameter was not set.
new 80bfde5 cosmit (reST formatting of the SGD module documentation)
new b45d282 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new df0cbb3 more formatting in SGD reST and fixed docstest broken by last checkin :(
new 40ac544 Added benchmark.
new 5739282 Fixed problem with big full covariance matrices: sum,log instead of log,prod for loglikelihood computations.
new 7e51797 FIX : fix extra parenthesis in mixture ...
new defdb91 FIX lda, qda: new numpy.bincount requires integer arguments.
new 100faa3 Started Changelog 0.6.
new 88d7968 Change link in plot_face_recognition.
new 8864e0f Remove example plot_lar.py
new f75d231 FIX: do not invert the sign of decision_function in OneClasSVM.
new 7aa6ad8 Add missing options to OneClassSVM.
new 32bb221 web page layout fixes.
new 4e8a6a3 Remove duplicate docs (sphinx generates this for us).
new 9776c87 Prepare for 0.6 release.
new 27eda75 Remove generated classes on make clean.
new 7d16891 Add notes on fluctiations of liblinear.
new 9b224aa Add type info to docstrings.
new 027de8f FIX: backwards compatibility for scipy <= 0.8
new 4784e58 Remove Methods from docstring.
new a7047ca liblinear bias/intercept handling
new c8f536e FIX: scipy 0.9 compatibility fixes
new dc956b4 FIX: second argument in euclidean_distances.
new 362de11 Cosmetic changes.
new e4df607 Better version detection for scipy
new 2791ba8 FIX: stupid mistake.
new 58aa73a FIX Stupid mistake
new 148c5ef More robust utils.fixes.
new 778fc4b FIX: docstring.
new c66dc10 FIX: np.unique.
new ae5561f FIX: scipy 0.9 compatibility fixes
new 93a9882 FIX: second argument in euclidean_distances.
new 372b89f Cosmetic changes.
new 8347580 Better version detection for scipy
new 7a485af FIX: stupid mistake.
new 5a9e193 FIX Stupid mistake
new 3bf5d15 More robust utils.fixes.
new 8c4ea2a FIX: docstring.
new e9c9cb1 FIX: np.unique.
new eb6eb3b Start 0.7 development cycle.
new e0613aa Change version to 0.6-rc
new 8018613 Add AUTHORS to web page.
new e440030 Note on LinearSVC.
new 007b013 Web page layout.
new 22ab9a6 FIX: update to latest API.
new 55be2aa Web page update.
new c466ef5 Add AUTHORS to web page.
new a3af357 Note on LinearSVC.
new 5612fc0 Web page layout.
new 6e424a7 FIX: update to latest API.
new 5402fa3 Web page update.
new ed4d04e FIX tests when run with scikits.learn.test()
new 2c3d9e2 Update doc.
new 19bca16 FIX tests when run with scikits.learn.test()
new 1e5bd09 Update doc.
new a4c2d9d cosmit
new 1f42388 Do not support precomputed kernels in sparse matrices.
new 13d288a Update version information to 0.6.0
new ebed6be Update Mailmap.
new b82c30e Update authors list.
new 4dd89ec Update Mailmap.
new 4b5eb65 Update authors list.
new 87741a7 Update README.
new 073da1e Update README.
new b286c10 Add all doc to generated latex.
new 3c86f5f Add species distribution modelling to OneClass examples.
new 6bc3311 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 9ab9d49 Add ward algorithm + feature agglomeration
new 424e1be BUG: fix GaussianHMM.fit to allow input sequences of different lengths
new 5f53629 reviewing hierarchical clustering code
new 195e3f3 adding missing setup.py in cluster
new 9891914 FIX remove broken test in test_mixture
new 2aa3835 FIX: compilation issues under NetBSD
new 124a956 Debug in GaussianProcess.predict for batchwise computation
new e7f3d20 Debug GaussianProcess.predict for variance estimation in 'light' storage mode.
new c84326c Merge 0.6.0 into DFSG (reincarnating libsvm's svm.* -- effectively forked)
new f7a5f11 Merge branch 'dfsg' into debian
new bf83c35 ENH : nicer implementation of StratifiedKFold now usable with regression ENH : better RFECV that now selects the smallest model among models with equal accuracy MISC : PEP8 in cross_val + rfe
new 61d4b9b DOC: updating doc for StratifiedKFold + ellipsis in svm support
new 88433b2 Add documentation on Ward algorithm
new 34cdc33 Add documentation on hierachical clustering. Update examples + add example (plot_lena_feature_agglomeration) Delete folder feature agglomeration and add it to cluster. Changes in feature_agglomeration and hierarchical. Add mixin structure to kmeans
new 05f0870 Disabled use of system libsvm - scikits.learn has its own fork
new 6b4e757 Updated copyright: DEP5 rev153, entries for cblas/ and lib{linear/svm}
new 489f3a2 Extended TODO (in emacs-org mode): consider system's liblinear (need 1.7 with a fix)
new 30cae8e changelog entry for 0.6.dfsg-1
new 5dc61b3 Added README.source to describe reason(s) for .dfsg
new 52af9dd ENH: make it possible to customize the WordNGramAnalyzer token regexp
new 81e7f16 debian/watch: mangle debian version - remove .dfsg for comparisons
new 6c41d5b Fixed upstream release number -- 0.6.0, not 0.6
new 104eb54 adjusting dfsg rule -- do not prune libsvm
new 03a85c1 Extending changelog
new 1cb7799 k_means_ - added optional rng parameter to work routines
new 5b9605e Centering data for k-means before fitting
new c182b37 k-means - added verbose-level print after initialization
new d0084d7 added faster distance-computation algorithm to k-means _e_step
new de91e61 Add other ways to contribute to the doc.
new 6c4ecd8 Little doc improvements to the grid_search.
new 7016229 DOC: remove duplicate information.
new 7f509e5 Remove unused imports
new 5fcbbbf PCA train() stores eigenvalues associated with components
new a5af706 adding James Bergstra as author of k_means_ file
new 1563c31 k-means adding all_paris_l2_distance_squared function
new 73c6024 k-means - modified k_init to use pre-computed distances for faster, clearer code
new e66a033 k-means - added support for a callable "init" argument instead of copying all the k_init parameters as optional arguments - invite user to use a lambda or something
new 38bd96e k-means - fixed misleading typo in error message
new 9242e46 k-means - added optional parameters "precompute_distances" and "x_squared_norms"
new 21122d7 k-means - added "verbose" parameter to KMeans class
new c2e17ac k-means - added copy_x parameter to worker routine and BaseEstimator, allowing optional in-place operation
new 50d58ec ENH : adding function to test the significance of a cross val score with permutations in supervised problems
new 75d63f7 DOC: Add scipy in the install dependencies.
new d9792b1 ENH : add possibility to pass RandomState MISC : adding reference ENH : add possibility to shuffle within labels ENH : now using np.random.permutation
new ffd195c s/permutation_score/permutation_test_score
new be3cf61 fix pb with nose and permutation_test_score function
new acb8015 Merge branch 'permutations'
new e7929e6 added optional args to euclidean_distances and removed k_means_.all_pairs_l2_distances_squared
new eefd4f1 fixed typo in my previous patch to PCA
new 8783af1 added PCA.inverse_transform and unit test
new 41e4bc8 added components_coefs_ (eigenvalues) member to RandomizedPCA to match PCA
new 2447b10 FIX : really accurate pvalue in cross-val permutation test
new 4e941ae FIX : even more accurate pvalue in cross-val permutation test
new 4beecdc test_pca - modified to use assert_almost_equal
new fb7632f euclidian_distances - repair special case for when X is Y
new 9eca46c Merge branch 'master' of git://github.com/jaberg/scikit-learn
new 2570383 PEP8
new 416e02e more PEP8
new 05c9d4a more PEP8
new 78898a8 DOC: Typo in docstring
new 2ae8517 style conventions for variable names
new a04d703 Corrected a few typos in the documentation.
new 073ef84 DOC: document better similarity matrix of spectral clustering
new 3461771 s/euclidian_distances/euclidean_distances
new 2ed3039 Partial Least Square 2 blocks mode A (PLS) implementation
new b56dcde PLS examples
new 843106b DOC: typos in docstring
new 4980b61 Add LabelBinarizer.
new 2f6bf57 Add sparse Ridge.
new 776d0b7 Support 2-d Y.
new 56b60f1 Add RidgeClassifier.
new 95817f8 Add RidgeClassifier to 20newsgroup classification example.
new 9ee7f61 FIX: removed obsolete entries and added current ones for top-level __all__ + unittest
new d085a9b typo
new 2ae49bd ENH : cross-val generator can now return integer indices
new 2eba6e7 DOC: better docstring in cross val with indices
new bb5c923 DOC: update RST doc for crossval with indices
new 859fc50 removing print used for debug
new 5ec3d6f Add efficient LOO cross-val for Ridge.
new 4fa80b6 Add sample_weight to fit.
new 0f32a96 Add reference.
new 919c789 Add support for custom loss or score function.
new c545534 Add label binarizer documentation.
new 9326b70 BF: k-fold should accept k==n
new 012d0d4 BF: k-fold should accept k==n
new 5b2491e FIX: allow the trivial border case k==n in KFold CV
new e7c837f Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 0b4caa9 Merge branch 'cv_indices' of https://github.com/agramfort/scikit-learn
new ca2e210 ENH : speeding up kneighbors_graph function avoiding the use of a LIL matrix
new 5359bbb FIX : in hierarchial cluster + Mixin fix + tests + coverage + PEP8
new 635258b Test 2-d y case.
new 854e55c Support fit_intercept in RidgeLOO.
new 3f5cf5f Forgot to use sample_weight...
new b6a6117 Default fit_intercept to True.
new 83fd598 Add sparse RidgeLOO.
new f13afc6 Add RidgeClassifierLOO.
new e1d81fc Add class_weight.
new 40543d2 Add some more documentation.
new 3520ca2 Add sample_weight.
new 750e8f4 Add installation instructions for NetBSD.
new 678458e Add dense_output option to safe_sparse_dot.
new 17d3db5 Use safe_sparse_dot.
new 91fdb16 Fix problem when output is a vector.
new 5ec33a1 Add safe_asanyarray.
new 0429494 Handle sparse matrix in LinearModel.
new 09a5462 Import necessary modules.
new 5f8caaf Fix tests for sparse case.
new a56ec44 Add RidgeCV.
new a230f5b Merge dense and sparse code.
new 6827dd2 Rename to RidgeClassifierCV.
new 8ee253a Fix 20newsgroup example.
new c601344 Make RidgeLOO private.
new 3eb9a00 FIX : fix pb in affinity propagation when S dtype is not float
new 1b6f1ee Fix test.
new a91efb2 fix a bug of affinity propagtion, which is caused by incorrect index
new c160074 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 09c53ae PLS mode A : two estimation algo: NIPALS & SVD
new 812d45c PLS: WIP
new 544e531 ENH: KMeans tolerance parameter renamed tol (as in coordinate descent) and made public
new 06ac5f9 ENH : adding inverse_transform to pipeline + better handling of coef_
new 69b3b39 ENH : adding coef_ attribute in GridSearchCV
new 60d51b2 Revert "Partial Least Square 2 blocks mode A (PLS) implementation"
new 6933d81 Revert "PLS examples"
new 47bb5c5 Revert "PLS mode A : two estimation algo: NIPALS & SVD"
new be20fd2 ENH : adding inverse_transform to univariate selectors + pep8
new 99c7dbd removing old svn id tag
new 1ff5724 ENH : refactoring Ward feature agglomeration to make it work with Pipeline
new 5edd39f first attempt to use caching in gridsearch with hierarchical clustering... WIP
new 823ed5a PLS : cosmetic changes
new e49cd50 ENH: Reorganise the feature agglomeration
new cab8be4 ENH: Accept strings as memory
new b1714ba FIX and more tests for PCA and inverse_transform also for RandomizedPCA
new bbc80ae Predict is already implemented in LinearModel.
new 29581fa Fix issue in RidgeCV.
new a04a202 PLS
new 5e5a648 PEP8!
new a6041c6 PLS cosmetic
new 3d5dd2e DOC: Add the logistic regression to linear models doc
new 7441f0f DOC: Be explicite about what criteria are used in GridSearchCV
new 704ed7e ENH : improving ward for better joblib caching
new 951b5f1 removing plot_dendogram function
new f529548 TEST : fix ward clustering tests
new de06c23 in hierarchical : s/adjacency_matrix/connectivity, s/k/n_clusters
new f7eacfd remaining s/k/n_clusters
new a81df0a ENH (ward): return children as numpy array (better for joblib)
new 5f49bdf Merge branch 'master' into asaf
new 6e9e1c7 Some docstrings added to ridge.
new 50e8a9a Rename lb -> label_binarizer.
new dffe8c4 Add note on multi-class classification.
new 2e7932c Add some more doc to LabelBinarizer.
new e27a47a PLS: optimize, compare against R implementation, clrify terms
new d6ce0a4 DOC: typos + change name of LDA vs QDA examples
new f8554f5 PLS: simplify API + som additionnal test
new 269ab1a Some love for lars_path.
new 99e8706 Add documentation for the RandomizedPCA class
new d5a928f Fix typo.
new 5e891f4 Add documentation on matrices used for clustering.
new be305bf PLS: add transform function
new c338ece PLS: test_pls fix a bug
new 1b38e73 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 9539f4f PLS: transform method - In fit method: compute rotations - This greatly simplify the transform function
new 2a45816 ENH: avoid storing parent and weights in Ward (better joblib)
new 33a1e3c Rename _RidgeLOO to _RidgeGCV.
new a942f87 Note on efficiency.
new 166debd Improve the documentation for LabelBinarizer.
new 328642a Add TransformerMixin.
new b09ffd7 Use TransformerMixin in LabelBinarizer.
new 215ed61 Merge branch 'ridge'
new 04c10f7 PLS : add predict function + some cosmetic
new 40c62f4 PLS : predict - add some plot - test of "non regression" for the prediction fucntion
new e388349 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 842b06f Fix typos.
new 6de70d4 PLS : make sure this also works with 1 dimensional response (PLS1)
new 43df20f Merge branch 'master' of github.com:scikit-learn/scikit-learn
new ba93382 remove quotes "" on columns names
new a36fa7b ENH: Add inverse transform to univariate_selection
new bd3a29b MISC: Make sure that nosetests doesn't try to run the bench
new 2a2329d DOC : better docstring in hierarchical clustering
new da0807c adding example to rst doc
new 1cd924e better ward rst doc examples
new 5d6b058 PLS cosmetic: PEP8, etc.
new fb9e0bd PLS, new specific classes: PLSCanonical, PLSRegression, CCA + some cosmetics
new f6cfa8c add new method for fecthing datadir + reorg os related imports
new fb66b5a checkpoint WIP for the LFW dataset loader
new ee48733 Fix TransformerMixin.fit_transform.
new a105bf5 added arithmetical ordering patch for labels in linear.cpp and test for liblinear predict
new d917da3 comment
new abf0e67 simplification in liblinear testing
new c1371e3 pep8 compliance in liblinear testing code
new 47e6e90 PLS: computation optimization
new 4152157 Remove references to y in preprocessing objects.
new be52e04 Merge branch 'master' into lfw-dataset
new 0332881 fix broken dataset description
new abd9a19 moving swiss_roll generator in samples generator better 3D axes orientation for viz
new 74e3e58 removing Return from class docstring
new 1c88202 s/cord_/coord_
new 0445a8f in setup.py s/ward/cluster
new 1eb3bfc simplified liblinear prediction function
new 6970730 two trailing whitespaces removed from an multiline comment :)
new 8ece111 minor syntacting improvement in liblinear test function ...
new 2472ff6 one more minor improvement to liblinear test code
new 074a8e7 I think i've got it this time ...
new 31dc61e pep8 compliant at last!
new 941c18a Turn off axis in plot_iris.
new c91f099 ENH: implement decision_function for libsvm-based classes.
new 5116c3d DOC: svm.rst refactoring.
new 48fa476 FIX: always raise ValueError on deficient input in BaseLibSVM.
new 36c83e8 FIX: fixes & tests for liblinear decision_function.
new 54e4381 ENH decision_function liblinear, sparse variant.
new 5c3a9eb FIX: fixes for liblinear decision_function.
new bfb819e ENH: Add a benchmark for ward
new 667f203 PLS API - PLS class becomes private => _PLS - move/duplicate docstrings from PLS to PLSCanonical, PLSRegression and CCA - of numpy.linalg.pinv => scipy.linalg.pinv - PLS_SVD => PLSSVD
new c777ee7 Nicer support vectors in example plot_separating_hyperplane.py
new 164f0f7 PLS: API (2)
new 8447bcf PLS : coeficients computation
new 578154b PEP8 fixes.
new d5b445c Doctest fixes.
new 1927389 API: fit params -> class params in GrideSearchCV
new ff758e0 Add sample_weight to Ridge.
new 0c2d242 Improve documentation for Ridge objects.
new 7d39bdd Move cv parameter to constructor in RidgeCV.
new fedd549 Temporarily disable sample_weight when cv is passed to RidgeCV.
new e34e76c Preserve backward compatibility in GridSearch.
new 7430d20 Remove obsolete info.
new ad4b3b8 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 9702349 Fix error in documentation.
new 094f433 various changes to handle fortran ordering in matrices
new f83bf67 some pep8 fixes .... but probably more to come
new 3c01b54 removed testing thing
new 0195d95 pep8 stuff as well removed testing stuff
new 2485225 Squash function in test_svm.py
new a5aa0bd remove unused.
new 1696b72 Add RandomizedPCA to RST docs.
new 8c83816 PCA docstrings reestructuring.
new 04123ef checkpointing work in progress
new a653928 Merge branch 'master' into lfw-dataset
new d4f779d work in progress on LFW: fetching the data
new 6826401 more work on dataset loader for LFW pairs
new eb60275 Remove coef_ and get_support from Pipeline.
new 3848249 Add SparseTransformerMixin.
new 1fa7336 Use sparse.base.SparseTransformerMixin.
new 7bd9bff Add documentation on model persistence.
new 0a8457b Minor fixes in RidgeCV.
new 16c2d78 Add reference for GCV.
new be24f7c Add Olivier Grisel to metrics.py's credits.
new fdc8044 Comment broken test.
new f79b27d Rename SparseTransformerMixin to CoefSelectTransformerMixin.
new bb1627b Do not resize the array on k=1.
new f3b6f57 ENH: Neighbors refactoring.
new 1883b7b Add parameter eps to NeighborsBarycenter.predict.
new 40b3799 FIX: fix dimensions in plot_neighbors_regression.
new 0a9a5fd Simpler doctest for neighhbors.
new f84d5be FIX: rename adjacency --> connectivity in kneighbors_graph.
new 56bf582 Change the algorithm used in neighbors.barycenter.
new 28316b0 small fix in barycenter
new 0902839 remove unused imports.
new 94f65cc Rename barycenter --> barycenter_weights (as it was before).
new ecd7190 Neighbors refactoring.
new 33764ab FIX: fix collinearity issues in least_angle.py
new b6fc307 Can now specify desired percentage of explained variance ratio in PCA.
new 26a2561 PLS : check for numerical instabilities + force float
new 5bad62d get rid of the normalization that should not be part of the load time
new bfa5831 Merge branch 'master' into lfw-dataset
new 6609703 make it possible to load the LFW people dataset using the scikits.learn.datasets infra
new 3a28fd3 remove stupid color slicing 'feature' and shuffle the examples
new 186dcbb pep8
new 599471e better default slice values
new d7a1ddd better looking example
new 28d972e Regenerate Cython file _liblinear.pyx
new fc3118c MISC: Docstring formating
new 80051f3 Add a few sanity checks for SVC.
new 4c430a4 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new bcde363 Merge branch 'master' into lfw-dataset
new e4227fd face verification example will be implemented later
new 8876d34 Add tests for sanity checks in SVC.
new 9a62759 Merge branch 'master' into lfw-dataset
new 6c45c01 Remove arbitrary code in tests.
new 836e182 Simpler check for orthogonality.
new 40cbdb5 cosmit typo
new 10116f3 Add pls to __init__
new 39b3213 DOC: set up barebones documentation for PLS.
new e37d528 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 0538690 Merge branch 'pls' of https://github.com/fabianp/scikit-learn
new c5aa155 Merge branch 'hcluster' into hcluster2 that matches master
new c861253 ENH: Tweaks for k_means performance.
new 30adcac Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 0c51a34 Cosmit
new 8b66fce FIX: do not resize array in knn_brute.
new 34cbb65 Faster Neighbors* in high dimensional spaces.
new 7d0f0c4 Use squared distances.
new 50a98f6 FIX: typos and missing info in docstring.
new f90d456 metrics.pairwise has right to live.
new 4a6e16f Rename inplace --> brute_inplace
new 76ed436 ENH: better consistency tests for neighbors module.
new 340761d FIX: typo.
new a5fce11 ENH: n_leaves = n_samples in ward tree
new f39f724 MISC: np.zeros -> np.empty
new 6ff2ee5 FIX: don't import assert_allclose
new af124bd ENH: Avoid big temporaries in hierarchical
new 9fdbbcb MISC: Cleanup
new 167eaac So this is why people kept posting issues to SF's trac ...
new b8e70e7 ENH: Hierarchial: don't compute moments twice
new a6e5739 ENH: hierarchical: gain memory with izip
new 458c2b2 ENH: hierarchical: simpler, faster without connectivity
new 29efec1 MISC: labels in cluster -> int
new a051072 MISC: Fix ward bench vs scipy
new 46bd9dc first test for the LFW loader skipped if missing data folder
new 29c927f more LFW tests
new 4be3a60 pep8
new 0faf690 Deleted code is debugged code.
new 16dc776 Flip the sign when the user accesses coef_ or intercept_ in the 2-class case.
new 62bcf5b Cosmetic changes in decision_function.
new 80673ed Rename strategy --> algorithm in Neighbors*.
new 8c6ece8 fix remaining n_comp
new 0bf053f FIX : fixing Lars lasso with early stopping using alph_min + adding test for it
new 3bf44af Merge branch 'master' of github.com:scikit-learn/scikit-learn
new a089f38 fix LassoLARS docstring
new d7f731c MISC: Avoid depending on numpy > 1.4
new bef60ef documentation for the LFW dataset loaders
new 62a5aae Merge branch 'master' into lfw-dataset
new f59fcb5 new criterion for wards clustering
new 83ea3b3 one single cython module for inertia and ward distance
new 3498fb5 Merge branch 'hcluster2' of http://github.com/bthirion/scikit-learn into hcluster2
new 749b13e adding test scikit vs scipy.
new 5c9df2c FIX: ugly bug in connectivity on grids and images
new 15bee0f generate fake LFW dataset to fully test the LFW loader even without access to the real data
new 3594e47 add HTML coverage report
new 05adf81 more robustness test checks for LFW loader
new 1bb6e27 BUG: Add missing import
new 323a423 first stab at factoring the 20 newsgroups dataset loading
new 7e65409 cosmit
new a7a6431 cosmit
new dd6103e fix kw params propagation to load_files
new f0a054b update the grid search example
new 5c7ea36 remove function autodoc section that breaks sphinx
new 5b806ea better name: rename load_files to load_filenames
new 123c0f8 better name: rename class_names to target_names for consistency
new adc9533 merge lfw-dataset to 20newsgroups-dataset
new bbb6033 Improve performance of GMM sampling
new 7c53b1e Second patch by f0k.
new e76eec5 Cosmetic fixes in GMM.
new 1f9f965 More cosmetic changes in GMM.
new 5ea578a Rename ndim --> n_dim
new 898ab69 Rename nobs --> n_obs
new c07f957 Some more docstring fixes for mixture.
new b4e11f3 MISC: Less code duplication in lfw
new 6c4ecf3 cosmit
new 642dc8f Merge branch 'lfw-dataset' into 20newsgroups-dataset
new 1dab341 Merge branch 'lfw-dataset' of https://github.com/GaelVaroquaux/scikit-learn into lfw-dataset
new 15ea041 cosmit / ordering
new 827731e use explicit parameter passing
new 69c7ed5 merge changes from LFW branch
new d9caa90 Merge branch 'lfw-dataset'
new 0bb99fb Merge branch 'master' into 20newsgroups-dataset
new 36eb56d some more work on the datasets documentation
new 1f710cf improvements to the datasets documentation
new 0c7a5c3 fix: avoid creating a spurious '~' in the current working directory
new 1721c04 pep8
new 0d6d377 Examples cleanup: remove pl.close, it is now handled by gen_rst.
new aaac3b3 Changelog for 0.7
new 4b00058 Examples cleanup: remove pl.close, it is now handled by gen_rst.
new a084f38 Changelog for 0.7
new 3e63ed5 More doc on 0.7 release.
new a8e76cc typo
new 3152483 missing justification for the shuffling of samples
new a2a2209 More on changelog.
new bf0d2aa More doc on 0.7 release.
new f5abc1d More on changelog.
new a3bc7ea ENH : factorizing img_to_graph and grid_to_graph there was no bug before but an obscure img_to_graph(mask, mask) that is now replaced by grid_to_graph (makes a connectivity structure for a grid of pixels/voxels)
new 4037901 ENH : ones on diag in grid_to_graph + fix dtype
new 06fffc7 cosmit
new 4463a83 Cosmit
new 9b3abd2 Minor fixes in changelog.
new 8d8e020 Add metrics to the doc.
new 5f86e57 More fixes for the changelog.
new 317df23 Merge branch 'master' into 20newsgroups-dataset
new d086bb2 Some more changelog stuff.
new d10f47c Minor fixes in changelog.
new ec37f0a Add metrics to the doc.
new 9d07758 More fixes for the changelog.
new 2533e92 Some more changelog stuff.
new c953f1c restore python 2.5 compat
new 4820ae7 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new cbb4355 Merge branch 'master' into 20newsgroups-dataset
new 09940a9 API: SVMs: eps -> tol
new ea51378 FIX: make PCA models usable in pipelines
new 21175e3 MISC: Fix example to adjust to eps -> tol
new 170af3f Merge branch 'master' into nmf
new 826a325 FIX: mxf --> Xinfan Meng
new 08a914d Change release name to 0.7.
new 61eb1ed FIX: mxf --> Xinfan Meng
new 0053662 Documentation update.
new 40f7ba3 ENH: Fixed seed for shuffling in SGD
new 8a19562 Replace latex with simple syntax in docstrings.
new 3cfe32c Documentation update.
new 76a95a3 Replace latex with simple syntax in docstrings.
new b8a6adb Start of 0.8 development cycle.
new 7d6b8b1 BUG: fix grid_to_graph
new 27acf91 Merge branch 'master' into 20newsgroups-dataset
new 68d9939 add backward compat for old load_files public API
new c66b2dc Building on Windows.
new ce89c7c Build precompiled windows binaries.
new 1feca95 ENH: make transform() work when no Y is given.
new 2234464 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 63177aa boilerplate
new c092530 typos
new 9c3bbb0 Replaced wrong k-means++ implementation with a correct one.
new 8d89358 Extended docstring, renamed variables from javaStyle to python_style, replaced tab-indents with space-indents, pep8
new 5bbf853 Use scikits distance functions instead of scipy's. Avoid recomputations of x_squared_norms whereever possible. Completion and unification of docstrings.
new b58e9d5 MISC: cosmit + use private prng
new 39e7a68 MISC: fix typo
new ed82d42 more tutorial boilerplate
new f1fac7a missing download script
new 1dae5af cosmit
new 7a9892a typo
new 2a3f367 typo
new 39673b6 some work on the introductionary section
new d5c72b3 more work in progress
new ebaf6d6 better title structure and missing paragraph on good feature extractors
new 0430f21 more work on machine learning 101
new aa35283 cosmit & typos
new b5c9ac7 wording
new 90aa893 missing fetch script for movie reviews
new d859f40 work on exercise 01
new 5b18c58 better use this a exercise number 2
new dee404f do not forget to introduce linear separability
new 7703b95 typo
new c75b74b add missing fetch script for the face dataset
new 71a65de solution for exercise 04
new 40beda3 extracted skeleton for exercise 04
new 8b1b194 more work on the classifier section
new a99e49c starting explaining PCA
new d3047a1 useless conf
new ed7a25e more work on PCA
new b49570d better titles
new fa2aa8f style
new dc4631c more work on general concepts (esp. supervised learning)
new 07f8d62 more syle fixes
new 232dfd0 more subtitles
new d9dbb7f Remain compatible with numpy 1.2
new b8f6e71 Do not import scipy.sparse globally.
new 7fa40ad Remain compatible with numpy 1.2
new 0eeaa3a Do not import scipy.sparse globally.
new 8ef9ce8 Implement probability estimates for SVR and OneClass.
new 5a6d911 Raise NotImplementedError on predict_proba when model do not implement it.
new 4d31f55 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 6cd9679 resolve conflict
new 787e03d Merge branch 'pls' of https://github.com/fabianp/scikit-learn
new f17ebac added a converged_ attribute to GMM to indicate whether fit() returned because of convergence or because max_iter was reached.
new 33ee23f reset GMM.converged_ when calling fit() again
new 434370d Update numpy/scipy requirements.
new 769155d resolve conflict
new 8208b29 Release 0.7.1
new d53bb58 samples generators: remove multivariate_normal_from_latent_variables
new 8972010 Read README.rst for description in PYPI
new a8f3977 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new b1d326a split >80 char comment in 2
new 946daf1 Update numpy/scipy requirements.
new df4e5ba Read README.rst for description in PYPI
new 910c519 add GMM.converged_ attribute to GMM docstring
new 73c5a98 ignore workspace
new 7c847f9 ignore OSX stuff
new 1df6ef6 updated the link to the official documentation
new 0f0610a work on clustering section
new a50dc8d add some subsections separators
new 31cd361 wording
new a0ef2fc reorganizing notes and adding a scikit-learn oriented complement to the supervised learn flow diagram
new caf1876 remove section on density estimation
new 74e225a started work on linearly separable data
new 4651e08 added takeway points section
new 65d5c0b cosmit
new 00bb00d various improvements
new 91cfc0e typo
new 7ef9e19 various cosmits / wording
new 123a4aa typo / wording
new 8b9f3e3 section on regression models
new c28b94d Merge remote branch 'vincentschut/master'
new 511ed6c BUG: Fix bug introduced by PLS
new d94119c DOC: Minor fixes to documentation
new 21a06cf section on overfitting and the train / test split
new c096796 removing confusing section + slight reorg
new ba391d9 wording
new ee6f018 wording
new 28b4d98 work on text feature extraction doc
new ae59a7a one more check in the setup
new ebe96db better intro + more work on text features
new cc83dab more work on text classification example
new 04d5cd9 fix header levels
new 14f7590 exercises instructions
new 499a910 improvements in exercises instructions
new 19b1256 some practical hints
new 7101ddd use the pipeline in exercice 02
new b179503 inversed solution and skeleton
new 1556aaf sentiment analysis
new ae0d700 missing skeleton
new fd1cb42 gh pages integration
new 11edf68 Implement transform in LDA.
new d244e49 Add LDA to plot_pca.py and rename to plot_pca_vs_lda.py.
new cc921d8 Proper implementation of predict_log_proba in LDA.
new 2422ed9 DOC: minor spellings and formatting (trailing spaces, consistent spacing etc)
new e394ad8 trailing spaces
new 15916da pep8
new 9de3a37 style
new 60f33dd add check to the nature of y to have more explicit error messages
new 9fe5182 explicit ValueError when not enough data for kmeans and some pep8
new 9d37091 style
new e05b795 Added CRO-based initialization, TODO tests, bench
new 78a6416 make RandomizedPCA work on list data
new 618a1b5 refactored SGD module (removed code duplication, better variable naming). added interface for sample weight. added seed to interface of sparse SGD classifier and regressor.
new dfa75da Sample weights for SGDClassifier. Additional test cases for class weight and sample weight. Example plot for sample weight.
new bc16f01 Additional tests for sample weights. Fixed some typos in doc strings. Changed signature of coef_ for SGDClassifier; now adheres to svm convention that coef_ is shape [1, n_features] in the case of binary classification.
new 9bf1d7b Theirs Merge commit '0.7' into releases
new e5d9a53 Merge commit '0.7.1' into releases
new b4e1432 Merge branch 'releases' into dfsg
new 622de39 Merge branch 'dfsg' into debian
new 962427c changelog for 0.7.1.dfsg-1
new f2fcd5c FIX: the datasets doctest fixture could never skip the tests when required
new bf935ec use WARNING level logs before using network access
new 430d5dc make the test display the output on stdout
new 1f799a4 ENH: add function to clear the data_home cache + tests
new 6b3e17a full PEP8 compliance for the scikits.learn.datasets package
new 637c700 renamed load_* to fetch_* when network connection is potentially involved
new 82185f1 Merge branch 'lda' of https://github.com/mblondel/scikit-learn into discriminant_analysis
new 8f3b9ff add load_lfw_pairs and load_lfw_functions for backward compat and consistency
new 5b5b709 load_20newsgroups as an alias for fetch_20newsgroups in offline mode
new 4bab789 re-add self.means_
new 7170f3d trailing spaces
new 908e6a5 break test data symmetry to avoid heisenfailure in RandomizedPCA test
new f39c4d6 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 5e06d30 FIX: heisen test failure + some pep8 in test_pca.py
new 2d2c87f Fix to sparse SVC with kernel='poly'
new bdf3332 oops -- forgot that we are still doomed to experimental due to sphinx
new 3e9a383 Merge branch 'master' into sgdsampleweight
new 3db9bbe pep8 + oliviers remarks
new bf4268d SGD: documentation for sample weights and class weights. Some polishing of the SGD documentation.
new 833695a Added Multinomial Naive Bayes classifier
new 14a66c0 Fix to the documentation of the Multinomial Naive Bayes.
new 7fe5131 BUG: fix kneighbors method in high dim
new dded226 DOC: clearer doc for BallTree.
new b7c9201 Add polynomial interpolation example.
new ec96240 DOC: improve PLS docs and example
new 15965e6 better README.rst
new 3cd8608 use vec.fit_transform instead of vec.transform on the training set
new 75217f7 Untracked changes
new 491ba87 Merge branch 'master' into nmf-nnls
new 0cfdc03 Put CRO inside nmf.py
new ceaf255 Pep 8 compliance and cleanup for the multinomial naive bayes
new 59df234 Merge remote branch 'upstream/master'
new ce2e0ef Sparsity constraints and measures of sparsity
new 66483cf Use np.vander.
new 4c1fb9f DOC: docstring enhacements for Gaussian Naive Bayes.
new 4699607 DOC: some documentation for naive_bayes module.
new 7ae1566 Some more pep8
new 138e688 Refactoring in svm module.
new ade11c3 Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new ecb869c Support multilabel case in LabelBinarizer.
new e1ecda6 ENH: better doc and tests for unbalanced svm's
new 075931d Python 3 compatibility.
new f41112b Nicer low-level API for libsvm.
new 476824a adding boosting and decision trees
new 5112d7c adding bagging and gradboost
new c6cd221 minor change
new 1c04b54 Merge branch 'master' into nmf-nnls
new 30f8d4e Style fixes all around. Clarified NNDSVD docstring.
new d62f1ab Decreased default NMF tolerance to improve results.
new e070407 Corrected sparseness measures in NMF.fit
new 1d8e3f2 Removed print in CRO.fit; moved utils to top.
new eeb9ba4 working on interfacing with Cython
new 345715e Possibly fixed errors in doctest (not verified yet)
new 47663e1 Doctests pass now
new c2088bc Fixed bug in transform (lack of .T), renaming
new 0e98d9a Non-negative least squares testing
new 6168f1b The derivation of the variational algorithm for the DP mixture of gaussians
new f86395a Renamed tolerance to tol for consistency.
new 2886f05 minor updates
new 160c952 MISC: Update joblib
new 816a257 Ignore OSX .DS_Store files.
new 95ece32 Revert "Python 3 compatibility."
new 105e132 FIX: rename eps to tol also in svm.sparse.
new 2e19d22 Add linear_kernel, polynomial_kernel and rbf_kernel.
new 80d50d8 Small optimizations for polynomial_kernel and rbf_kernel.
new 4c54e87 Add KernelCenterer.
new cd38b37 added doctests for sparse and dense SVR, NuSVR, NuSVC, and sparse SVC.
new 0496931 Wrote tests to cover mostly everything
new 57feef5 ENH: cython bindings for libsvm's cross_validation routine.
new ca851cb Add KernelPCA.
new ac8bf20 Add kernel PCA example.
new 7771006 FIX: make the PIL dependency optional (skip LFW tests if not present) + explicit error message
new e8b2b21 lfw: import imread from new location in scipy
new 3c9113d always use scikits ward algo when no structure is provided
new 344c782 Merge branch 'master' into kpca
new ff93c02 ENH: Add verbosity to the gird_search
new 0f103f5 ENH: More parallelism in GridSearchCV
new b25978a ENH: GridSearCV: better verbose
new 732a64b TEST: Fix trivail doctest failure
new 4ecde1e BUG: iter on complete grid (GridSearchCV)
new 867fec5 Revert "Python 3 compatibility."
new 23e118c FIX: rename eps to tol also in svm.sparse.
new 7c0319a added doctests for sparse and dense SVR, NuSVR, NuSVC, and sparse SVC.
new 0203171 ENH: cython bindings for libsvm's cross_validation routine.
new 94a189a FIX: make the PIL dependency optional (skip LFW tests if not present) + explicit error message
new 54a7309 Beginning the code; so far only doing the E step
new a06c42b Update the installation guide with Ubuntu related info
new c47200a Fix a Broken link in the documentation
new afc0715 FIX: workaround broken PIL installs
new cceac31 Add KernelPCA documentation.
new 5fba12e [base.py] Do not break while trying to pprint not existent attribut
new 3057073 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new aaeadfb MISC: html-nodoc default target
new f1692db Merge remote branch 'origin'
new e9a3722 Add test for precomputed kernel.
new a998e62 NMF example on faces dataset
new 72d4317 Optim in polynomial_kernel.
new 321fc8b Implemented fit_transform
new d2fecaf First draft of the code; untested
new af84a63 Efficient fit_transform in PCA.
new d7ae8aa [base.py] revert previous commit, as the error is raised when object does not follow scikit API
new 345ff41 Merge branch 'master' of https://github.com/yml/scikit-learn
new 28997f1 Tweaked plot aspect ratio
new b9a4154 Refactoring of the covariance estimators modules.
new 61a39cd Merge branch 'mblondel-kpca' of https://github.com/vene/scikit-learn into kpca
new b58911b Without pl.show, the figure won't be displayed.
new edcfbb5 The dp is already fitting properly
new 9556b55 Cosmit.
new 6009beb Fixed broken tests due to interface change
new 6940635 Fixing indentation bug
new cac1865 Use TransformerMixin in KernelPCA.
new 62b7144 Tests now behave better
new 00ba725 TEST: Ellipsis on numericaly instable docs
new 8b210aa FIX: cross val return array size.
new 64961c1 Initial implementation of cross validated SVC
new 0ec5887 [feature_extraction] Refactor text/* to text.py
new d4fd5f7 Python 3 compat, this time with npy_3kcompat.h
new 5a45d03 Revert "Initial implementation of cross validated SVC"
new 4c03d21 tiny updates on lda (checks, numerical stability)
new ee8b41d Wrapped BallTree in Cython. Note that this wrapper does not include the BruteForceNeighbors() function from BallTree.h
new e0d6767 Merge branch 'cython-balltree-wrapper' of https://github.com/thouis/scikit-learn
new 92f6d03 Cosmetic changes in base.py
new fa3f402 FIX: py3k compat.
new 5bdc5a4 Renamed for backwards compatibility, fixed C++ Exceptions to propagate to python
new 46ce94b removed the unused inerta stuff
new cbb0a1b balltree - be explicit about return types' width
new ec8edb6 I won't import scipy.sparse globally.
new c34264b Changing the DP derivation to rst---equations don't work
new 5f32ef3 Renaming; removed numpy 2-norm
new 8f3985d Fixed the math
new fd4bbaa Removing useless whitespace between methods
new c6cfce4 Removed useless _fit_transform
new acc13ed CRO inherits from BaseEstimator
new 00ff9ed Reorganizing the directory structure
new fbe83f8 OAS estimator of covariance + new example.
new fcd5f8f Adding variational inference for a finite gaussian mixture model
new 3ef468a Cosmit
new bacbe96 Merge branch 'hcluster2'
new 5cdc7dd I'm returning precision, not covariance matrices. Make that clear
new 632364c cosmits with trailing spaces
new d79c683 Editing the documentation
new ebf827f Making it clear that the covariances don't work
new 1150d28 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 6c47a31 BUG: doctest the joblib in externals not global
new f5a54e0 Fetching every figure generated by the example scripts.
new 1ff16f5 Since we changed the name of the figure names, changing the rst files.
new 54283ad Applied suggestions; updated bench and example
new ebe22cd Updated doctest
new 4f9a126 Merge branch 'master' into variational-infinite-gmm
new 2b5d9ba pep8 fixes
new 26d809d Abbreviation expansion in benchmark
new e290c85 Fixed comments in NMF example
new 0decf02 pep8 on test_nmf
new 744f25a NEW: Function to automatically download any mldata dataset given its name
new b5d5a89 ERF: load files in "mldata" subdir; some documentation improvement
new ec08e4c Removed comments.
new 5f171e9 ERF: Error checking in fetch_mldata
new 73e31ba Removed CRO for now
new 4d404de ERF: fetch_mldata allows to use natural mldata.org names for datasets
new c999ea6 FIX: trying to reverse-engineer mldata.org conventions
new d7144b8 Added nndsvda and nndsvdar options for NMF.init
new 189b15e Merge branch 'nmf-nnls' into nmf-lite
new 1a95f21 Benchmarks and more pep8
new 14823e3 Fixed benchmark, removed unused import.
new 4262312 MISC: cosmetic -- setup.py is now pep8 safe
new 29c20b0 MISC: cosmetic -- cross_val.py is now pep8 safe
new ceadb3e MISC: cosmetic -- fastica.py is now pep8 safe
new d5919d8 Fixed NMF benchmark colors
new 0e0b917 pretifying nmf plot
new 71f3f51 MISC: cosmetic -- pca.py is now pep8 safe
new 2ac779c MISC: cosmetic -- scikits/learn/setup.py is now pep8 safe
new 96f9161 MISC: cosmetic -- pls.py is now (almost) pep8 safe
new dae7882 Merge branch 'nmf-lite' of git://github.com/agramfort/scikit-learn into nmf-lite
new afd1d55 Merged
new a758f5e MISC: cosmetic -- hmm.py is now pep8 safe (getting tiring, next time I'll show up earlier at the sprint ;-)
new 79a8b97 Fix benchmarks printing of error for alt-nmf
new 3804b01 MISC: cosmetic -- base.py is now pep8 safe
new 6842353 Fixing small bug
new bd50465 MISC: cosmetic -- grid_search.py is now pep8 safe
new 2f12774 Documentation. Discussed fixes. Set default to ar.
new 02e08c3 MISC: cosmetic -- grid_search.py is now pep8 safe
new 33cd3f1 MISC: cosmetic -- more pep8
new 677f255 Added KPCA citation.
new 9013e28 Added NMF to classes.rst
new 22a251b Fixed non-ascii characters
new 0b76350 BUG: restore ellipsis in doctests
new 416a4a2 Change PCA test to fit just once
new 2e5dde4 DOC: add the show-source back on html
new d0f69c2 Updated documentation with references
new dafb32e Added y=None in fit for pipelining
new e3ea050 Fixed relative URI in NMF doc refs
new 4b27ddd Clarification of example in NMF doc
new 4b6195b Merge branch 'nmf-lite' of https://github.com/vene/scikit-learn into vene-nmf-lite
new bae0826 Capitalized Gram, added y=None in fit, pep8 test.
new 48b0c62 Docstring formatting in test_nmf.py
new b61cc5f Docstrings in nmf.py
new 1a0c5b6 Merge branch 'nmf-nnls'. Docstring fixes, mainly.
new 75a5735 Clarified NNDSVD in docstring
new 9f82387 Documented NNDSVD. Fixed ar perturbation range.
new eaced83 Corrected error in docstring re: nndsvdar
new d98a159 Added disclaimer in nndsvdar docstring
new 1b3d505 Merge branch 'nmf-lite' of https://github.com/vene/scikit-learn into vene-nmf-lite
new 1e5ae89 BUG: fix multiple figure plotting
new e242e74 MISC: cosmetic -- setup.py is now pep8 safe
new dfad6f8 MISC: cosmetic -- cross_val.py is now pep8 safe
new a1f3926 MISC: cosmetic -- fastica.py is now pep8 safe
new 4e169bf MISC: cosmetic -- pca.py is now pep8 safe
new 95b872e MISC: cosmetic -- scikits/learn/setup.py is now pep8 safe
new f4c54dc MISC: cosmetic -- pls.py is now (almost) pep8 safe
new e85fa48 MISC: cosmetic -- hmm.py is now pep8 safe (getting tiring, next time I'll show up earlier at the sprint ;-)
new 3d0a9e8 MISC: cosmetic -- base.py is now pep8 safe
new b572463 MISC: cosmetic -- grid_search.py is now pep8 safe
new 40f4c2e MISC: cosmetic -- grid_search.py is now pep8 safe
new 5a6d410 MISC: cosmetic -- more pep8
new b43a30e BUG: restore ellipsis in doctests
new 12fa60c Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 7f4d42b Clarified invalid sparseness parameter error msg.
new 56ca515 Clarified init parameter error message.
new dcd1975 Transposed shape of components_ attribute
new 4073e15 ENH: plot eigencefaces in face recognition example
new 491861a Renamed NMF to ProjectedGradientNMF
new 3364960 Updated authors
new 30f3742 DOC: update rst docs to use multiple figures
new 79aa6c5 DOC: front page link: Ward lena
new 078d3c1 DOC: better docs for Ward
new e5d8ded Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new 2bc0e76 pull from upstream
new 8868aaa Merge branch 'master' into nmf-lite
new 4628b4f DOC: Added both plots to NMF doc, tweaked plots.
new 2461a6f ENH: Avoid gathering old images in docs
new 0b8aa44 DOC: Made plots look better.
new 9913182 pep8 in plot_kpca
new cf29b7a ENH: do not download LFW when building the documentation by default
new ab506f1 Attributes renamed and documented.
new bc4a14d Merge branch 'master' into vene-nmf-lite
new 7a80e9f Merge branch 'nmf-lite' of https://github.com/vene/scikit-learn into vene-nmf-lite
new 2b47592 Merge branch 'text' of https://github.com/vmichel/scikit-learn into vmichel-text
new ee41646 FIX: update the examples to match the new text feature extraction API
new f726f6e FIX: feature_extraction.text is now a module instead of package
new 61afdc9 MISC: reduce disk consumption when generating docs
new 98d59ec COSMIT: make the layout a bit cleaner in NMF docs
new 5eafac9 BUG: giving up on cleaning build
new 51fc7ec DOC: Better center of images
new b5e6d4a FIX: forgot to update the documentation after the feature_extraction.text refactoring
new 647bce2 FIX: decrease disk usage in LFW data folder
new 4ecd8e9 ENH: factorize some plot code in face recognition example
new 2eff92e Adding example; adding explicit lower bound computation; optionally monitoring convergence; full and tied work, somehow spherical and diag diverge.
new 44b6890 Began work on decompositions package.
new 5020fbd Merge branch 'master' into lda
new f577304 Merge branch 'lda' of https://github.com/bthirion/scikit-learn into lda
new d47d236 Fix doctest.
new 37a322c pep8 love (integrism?).
new a20a85e Add test for invalid kernel.
new b3c377c FIX: very confusing internal naming in NMF
new 8d4e32a Rename plot_kpca.py to plot_kernel_pca.py.
new 5954ffa Add comment regarding PCA's fit_transform method.
new 638d1d1 Merge branch 'nmf-fix' into decomposition
new ea2aa80 Decomposition module WIP
new 15d60c7 Merge branch 'master' into nmf-fix
new 87ebf1e Merge branch 'master' into decomposition
new f88f3e1 Refactoring of the covariance module and examples + add OAS.
new 1f26c70 Working decomposition package
new c6b2284 Merge branch 'covariance' of github.com:VirgileFritsch/scikit-learn into covariance
new c91de7b MISC: pep8ification
new 2c982c9 Missed one reference
new 97c4d20 Add note on sign ambiguity in PCA.
new 8794bb9 Merge branch 'kpca'
new 13bf29b FIX: broken link to plot_kernel_pca kernel in the documentation
new a5dbe94 Merge branch 'master' into decomposition
new aa15792 Using a smaller example to speed things up
new 0863c5f Simplifying the code a bit
new 0c7cd30 Some cleaning in libsvm sparse bindings.
new c39a017 FIX: KernelPCA plot in doc
new 693a4b9 FIX: forgot to track init file in tests
new 77a7aa2 name consistency in sparse svm
new 53c92b0 API: components_ shape fixed in PCA classes
new 8ddde2f More covariance refactoring: separate MLE computation from object.
new 1ed5718 Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new 8747939 First draft of the mini batch KMeans - works, but a lot of cleaning up to do
new 914d3b1 Refactored: deleted the batch_k_means function, and created an option for the batch_k_means to avoid code duplication - Added some documentation
new 5a71b60 implemented AdaBoost
new 239cf8b refactoring
new 9a8cb21 minor fix
new 17a06c7 minor fix
new 9fa26da Added test one the batch k_means
new 6761e37 Improve documentation
new 42a891e ENH: More accurate and clean numeric code in PCA
new 73b1a3f almost done...
new d72d838 it compiles\!
new 16d3990 now it really compiles
new 129702f minor fix
new a097bf8 working on segfault
new 174fc2f now it works
new 2657354 trying to fix score bounds
new 77ba9c6 Cosmit in fast_sgd.pyx
new c126a39 ENH: More avoidance of np.dot for diagonal entries
new e703800 language detection gives slightly better results without IDF
new c429a0b ENH: low-level API of libsvm.
new 6166e2e updates
new 058f5ae Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new 1bb3617 Upload to unstable of -2 + fix of objects.inv and numpy dependency only for -lib
new a480d43 sanity check in adaboost
new 79e7f87 Batch K-Means
new 86ca325 more sanity checks in adaboost
new 8067ea1 fairly stable now
new 311ce7b Cleanup in libsvm helper.
new 82bb80e FIX: important fix for sparse SVC (weights were not initialized correctly).
new 0c5c87a Update the docstring to reflect the package name changes.
new 5062f41 fixed failed doctest. SVR parameter `p` renamed to `epsilon`.
new cd01f48 Renamed fastica.py to fastica_.py
new c2f1557 Merge branch 'master' into decomposition
new 39d65f2 Rename BaseCovariance as EmpiricalCovariance + reviews comments.
new b56ad22 FIX: Explicit docstring inheritance
new fdb417e [batch k-means] Changed the algorithm to compute the centroids.
new 79d1830 fixed bug where node cuts were not set but left at 0
new 98d920c [batch k-means] Fixed the computation of the batch kmeans centroids
new cf10808 working on limiting cases
new 4d1c12c updates
new 39e1d3e fixing bug in adaboost
new 05b2395 Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new 8dc785f updates
new 212c37b resolved init
new 11b6192 initial import from milk
new f05035b renamed, additional import
new e7d4519 started conversion to scikits
new a7fb04c updated information gain and set_entropy functions
new aaa5ca4 modified base classes
new ee5f93c updated docstring to reflect use
new b6604ef updated load_iris to return features
new c68ad19 enh: updated decision tree classifier and associated example
new f64cb7a updated default impurity measure
new 5ab8fe6 added new impurity measures
new 3980abf updated random forest classifier to operational status
new 7868f38 updated cython script to calculate gini measure
new c9a49a5 minor change
new 60ec05b Add kernel PCA and linear PCA equivalence test in its own function.
new 9f4a53f Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new 8a1a996 bagging now implemented
new c278f17 removing committee for now
new b7267f0 updates
new 6c74aa1 adding tests
new b6c89ee better demonstration in test module
new f641291 minor change
new 12c577f bugfix
new 3beac76 Don't hardcode n_jobs.
new fa43d48 Remove useless calls to np.asanyarray and improve computation.
new c2f3ac9 Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new b8d1be7 removed classifier.py
new 81b4bce MISC: Two figures in plot_pca_vs_lda
new deed432 minor change
new a4a2ee3 typo
new f11ee12 pep8
new af66795 Merge branch 'master' of git://github.com/scikit-learn/scikit-learn into decisiontree
new 0b1bdc7 MISC: style fixes in NMF
new d6ace52 DOC: move working notes to wiki
new add386a DOC: tweak sidebar
new 0fa6645 ENH: improved contributors guide
new d55aee6 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new c36dd42 ENH: add coverage install command
new 8a0e6dd DOC: More sidebar tweaks
new 5593bc4 DOC: fix link to bug tracker
new ed4bdcb DOC: tweaks to developers notes
new b96f027 DOC: move KMeans to top of clustering
new dc6f382 DOC: Less warnings during build
new 1d63e3d cosmit
new 23f27d3 DOC: Fix more warnings
new 3c2e91f BUG: fix links to examples
new f453f51 MISC: cleaner generated code in doc/examples
new 58299a4 MISC: separate decomposition examples to new dir
new c2ba06a DOC: first stap at the performance chapter (full of TODOs)
new e68aca0 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new b3d70e5 DOC: missing class reference
new d180f8b DOC: cosmit
new 0faf093 MISC: another style fix for a private function in nmf
new b5143ca DOC: add sample python profiling session
new 86f4822 DOC: note for later
new d0848df DOC: add some missing reference in the performance guide
new 2fe9262 DOC: rmk on Sphinx version
new db123c7 ENH: avoid the use of lambdas in NMF to get a more informative profiling output
new 66b3299 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 6619a73 DOC: fix small inaccurracy
new f0191da Minor edits.
new 8c6d3c9 DOC: add tiny docstrings where missing
new 09851fc DOC: Fix warnings
new 850644f DOC: module entries in reference documentation
new cdfaa98 DOC: fix indentation
new b48532c DOC: link fixes in kernel PCA
new cbea7c6 DOC: more warning fixes for the classes reference toc
new 208915f FIX: stupid statement in plot_face_recognition
new 9e60a3f Added documentation for the Naive Bayes classifiers.
new 7ad9bcd DOC: make the face recognition example static (to avoid having to download the dataset to build the doc)
new fcca076 Cosmit
new 731b4c9 Add regularization in the computation of barycenter weights.
new f57b26e [MiniBatchKMeans] Starting refactoring code after the review
new 5c6a453 Added sparse MNNB and modified the textual examples to benchmark it.
new cdd0ef7 Modified the Naive Bayes nose tests to the new location of the module and added sparse test.
new a42876f fix broken doctest
new a30197c [MiniBatchKMeans] Small fixes
new 5e11d75 Merge branch 'master' into batchKMeans
new 56fc25d [MiniBatchKMeans] Small fix in the initialisation for the random initialisation of the centroids
new 65a455a [MiniBatchKMeans] Fixed the tests for the new API
new 8b19136 l1 logreg (liblinear): minimum C calculation
new 19b8f58 MISC: style fixes in NMF
new 33d7e74 DOC: move working notes to wiki
new 7b5e1da DOC: tweak sidebar
new bc5f546 ENH: improved contributors guide
new 13126c1 ENH: add coverage install command
new 3d20d25 DOC: More sidebar tweaks
new 81a24d5 DOC: fix link to bug tracker
new 9878e58 DOC: tweaks to developers notes
new ebd2e4d DOC: move KMeans to top of clustering
new 636c68c DOC: Less warnings during build
new 1d18223 cosmit
new 9a0ecea DOC: Fix more warnings
new 4a1d5fc BUG: fix links to examples
new 3427ff4 MISC: cleaner generated code in doc/examples
new 95cbfae MISC: separate decomposition examples to new dir
new db9a3c0 DOC: first stap at the performance chapter (full of TODOs)
new 9470b5e DOC: missing class reference
new 45f4c41 DOC: cosmit
new 365fb94 MISC: another style fix for a private function in nmf
new c428a7d DOC: add sample python profiling session
new 816d560 DOC: note for later
new 930d269 DOC: add some missing reference in the performance guide
new 081035d DOC: rmk on Sphinx version
new 4c5d26f ENH: avoid the use of lambdas in NMF to get a more informative profiling output
new 144b109 DOC: fix small inaccurracy
new a21711c DOC: add tiny docstrings where missing
new b4fbd09 DOC: Fix warnings
new 10458f6 DOC: module entries in reference documentation
new bc929a3 DOC: fix indentation
new 5d46d78 DOC: link fixes in kernel PCA
new be0b052 DOC: more warning fixes for the classes reference toc
new 1e2c6b7 FIX: stupid statement in plot_face_recognition
new 030e189 DOC: make the face recognition example static (to avoid having to download the dataset to build the doc)
new 78733bf Add regularization in the computation of barycenter weights.
new a0085eb l1 logreg (liblinear): minimum C (sparse version)
new 91de1c2 review of min_C doc strings
new d93c959 DOC: refined the python profiling example
new 560efef Fixing last bugs in the bound and updates; improving docs
new b2a5669 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into variational-infinite-gmm
new 0ce6f89 DOC: fix / add more class reference links in perf doc
new 8d3baaf wording
new 0f4aa9e Fix docstring find&replace issue; restoring VBGMM
new 788b2c3 Adding reference in the derivation
new ae5f820 DOC: started intro YEP
new 8d7f071 Merge branch 'variational-infinite-gmm' of https://github.com/alextp/scikit-learn into alextp-variational-infinite-gmm
new b6921f9 pep8 dpgmm.py
new d1a16e0 Fixing test failures in mixture
new deb9b99 Fixing pyflakes warnings
new 4052ef0 Adding complexity note to the documentation
new 052ed25 DOC: use uppercase for project / language names
new b07bdee numpy/scipy idioms as suggested by agramfort
new b2b8c2b pep8 compliance
new 0c86e6b min_C: reworked _y calculation
new d58cddd min_C: check for ill-posed problem _y * X == 0
new 7cc9673 min_C: let's avoid scipy.sparse top level import
new 0b3a04a Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into l1_logreg_minC
new e034f09 min_C: fixes to the doc strings
new bda15f5 s / shape = / .reshape() /
new c8d5baa removed float64 and int32 conversion
new b21a30b docstrings updated
new 99f7701 fix for "removed float64 and int32 conversion"
new 3897b3e FIX: last char in char analyzer, max_df behaviour
new 0de2082 FIX: doctest
new 4bb175d Do not build documentation in -a mode, to prevent timeouts on buildd servers
new 5a1e1f4 Use JOBLIB_MULTIPROCESSING=0 to suppress use of multiprocessing by joblib while running tests to prevent failures in chroots without /dev/shm mounted
new 7f4a004 Merge branch 'batchKMeans' of https://github.com/NelleV/scikit-learn into NelleV-batchKMeans
new 3568d20 Handle integer type case for the estimation of covariances.
new 8fdb47c Replacing DP by dirichlet process
new e99c5a0 Don't use np.linalg
new 6302e0a Explaining what is dpgmm
new f07d5de Adding see also sections to the mixture models
new 9831402 Fix the 'give' in plot-dpmm
new f2fc81e Editing a single example for the GMM and DPGMM explaining the difference
new 7dcaced [BatchKMeans] Small fixes following Olivier & Gael's review
new 6eaecac Merge remote branch 'scikit/master' into batchKMeans
new d2702e1 [MiniBatchKMeans] Removed the unnecessary import in examples/cluster/mini_batch_kmeans.py
new c90a79a ignore 'cython -a' HTML reports
new ab11115 Merge branch 'batchKMeans' of https://github.com/NelleV/scikit-learn into NelleV-batchKMeans
new 4de0dbf ENH: style, pep8, docstrings comments, variable names
new 62c5fe6 ENH: more interesting batch size
new 43e8379 ENH: more fixes for variable names
new 6470049 ENH: fix example docstring
new ee125a6 Remove copy and paste errors from nearest neighbors example
new 0466882 Making the documentation findable
new c81364b Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into l1_logreg_minC
new 11a8110 got rid of np.where
new e31db06 reimplemented l1_min_C as a function
new 21dceb2 removed old version of min_C
new e3040cd DOC: more work on the performance chapter
new 62b7faf Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 2183c4e cleanup tests
new 5332582 some more cleanups
new f378c2a bound on C can be calculated also with one class
new a8fe71b cleaned up tests
new 76f0441 fixes to docstring (as for Fabian comments)
new 8b81dc9 l1_min_c import in svm/__init__.py
new ad7ae97 libsvm low-level API refactoring.
new 65b8952 PEP inquisition.
new 61a2523 [MiniBatchKMeans] Now checks the validity of the data only when initializing the centroids. When the data is empty, return immediately
new ec13325 Merge with Olivier's branch
new 7183c30 [MiniBatchKMeans] Documentation fixes
new a6a2097 DOC: Make sure that mpl is not interactive
new cbb9f0d DOC: Tweak DPGMM docs
new 244e01a Some fixes for web layout.
new 724a426 Remove obsolete information.
new 0a898c3 More low-level refactoring.
new 8e69f43 Editing the documentation substantially
new 137f216 Adding doc to VBGMM
new 8ed0046 Adding usage note to dp-derivation
new a1592a5 Merge branch 'variational-infinite-gmm' of https://github.com/alextp/scikit-learn into alextp-variational-infinite-gmm
new b87d8a5 Merge branch 'master' into alextp-variational-infinite-gmm
new 414b802 Adding some test coverage. For some odd reason some tests fail on 'make test' but pass on 'nosetests scikits/learn/tests/test_mixture.py'. Any idea why?
new 726a9aa Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into variational-infinite-gmm
new 188490b Fixing the docs
new 36cf63c Return first score in case of ties.
new 69c05ea rename grid_points_scores_ to grid_scores_ in GridSearchCV
new 9ebbd25 Some tests for the things I changed in GridSearchCV.
new 8e16dcd Merge branch 'variational-infinite-gmm' of https://github.com/alextp/scikit-learn into alextp-variational-infinite-gmm
new 420bf0a Configure sphinx to be able to load extensions
new f876ad8 Fix OptionParser import
new 0d349f1 Merge branch 'master' of https://github.com/ametaireau/scikit-learn-tutorial into ametaireau-master
new 5e5fab5 Changing the image url in the doc
new c5bcc67 Even seeding the RNG in setup_func doesn't make the tests consistent
new 778df05 Merge branch 'variational-infinite-gmm' of https://github.com/alextp/scikit-learn into alextp-variational-infinite-gmm
new 42b40c6 There was a bug in the setup, now things are working deterministically
new c8c3e64 Deleting stray print statement
new 58b78c9 Adding an rng parameter to the GMM classes
new a78bad6 Merge branch 'variational-infinite-gmm' of https://github.com/alextp/scikit-learn into alextp-variational-infinite-gmm
new 36c7fa2 Fix little typos in the general_concepts document.
new 4f84d43 merge with upstream
new 01d35b6 Fixing the imports
new 9295526 Inlining the helper norms
new 17f8ab1 Beginning to vectorize the code
new 8972598 more vectorizing
new 153ed8d Finish removing quadratic dependence on n_states; update docs
new 2c8093d Adding norm to scikits.learn.base, using that
new e83bd83 Putting norm in utils
new 27206e0 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into l1_logreg_minC
new 5c9bc07 Vectorizing parts of the VBGMM, which I had skipped due to it being a lot less useful than DPGMM
new 2828888 Use np.cov instead of empirical_covariance in covariance module.
new 7a93edf Incorporating some caching and vectorizing to improve performance as per line profiles
new 4a9040b Fixing typo bug
new 0b96751 Merge branch 'variational-infinite-gmm' of https://github.com/alextp/scikit-learn into alextp-variational-infinite-gmm
new 710cfc9 Caching another computation
new 783e347 Merge branch 'variational-infinite-gmm' of https://github.com/alextp/scikit-learn into alextp-variational-infinite-gmm
new b23a205 Small typo bug in _bound_z
new 85b6204 a no-op that fixes tests
new 897af6d Change monitor to verbose, better output
new b862779 Merge branch 'variational-infinite-gmm' of https://github.com/alextp/scikit-learn into alextp-variational-infinite-gmm
new 796e2c8 ENH: more informative test error message
new 1fd29ab typo
new a547a6a Fixing typo-bug in the full covar update. There are still a couple of nondeterministic bugs to be taken care of
new e64326b Making test_sample stop failing for no reason
new c00ed7b Removing the square from norm() and creating helper sqnorm() in dpgmm
new 5d9a225 Prevent setting the covariance parameters
new f43eda3 Caching the computation of the constant part on _bound_pxgivenz
new a8fcffb Caching part of the bound for diag that was missing
new 659a0a6 COSMIT: lognormalize->log_normalize
new 75f7d31 COSMIT: avoid 'import as'
new 4f67002 COSMITs
new 2397ab9 COSMIT: avoid one-liner
new 4a0e4ec COSMIT: Local imports last
new 2da48b4 Revert "COSMIT: avoid one-liner"
new af697ce MISC: move mixture's test to sub directory
new affa6a9 COSMIT
new a484baa COSMIT
new 2d3569a COSMIT
new d6337ff ENH: Vectorize bound computing
new 3c92923 ENH: Speed up _bound_z in DPGMM
new 14bbe7e moving some parameters from fit to __init__.
new 1ee7f99 COSMIT: DPGMM: Move bound computing to functions
new 39ad9b6 ENH: Speed improvements in DPGMM
new f66733b DOC: Improve the GMM vs DPGMM example
new 289a9e9 BUG: Fix bug introduced by moving test_mixture
new f2a3432 DOC: Fix layout
new a9f55f9 Merge branch 'variational-infinite-gmm' of https://github.com/GaelVaroquaux/scikit-learn into gael-variational
new 703599f DOC: Tweaks in mixture
new 66ce055 BUG: fix testing (heisen) bugs in hmm
new 9cce6f3 Fixing the names in the hmm test
new b255741 Merging gael's branch
new 026cd4f TEST: Heisen-bug fixing
new 7b9311e Merge branch 'variational-infinite-gmm' of https://github.com/GaelVaroquaux/scikit-learn into variational-infinite-gmm
new 65c2077 Renaming bound_pxgivenz
new 84d4e49 Renaming covar to prec
new 8c04c47 Finishing the renamings
new 70acebe Adding a squiggly curve example for the mixture models
new 028d121 Improving the coverage of dpgmm
new 09ab842 Testing lognormalize
new 6d21252 Splitting test_mixture
new 525dc1f ENH: spectral clustering doc and style improvements (pep8, docstrings, references, variable names)
new 92fe82e cosmit
new 274dcc2 cosmit
new 5709c56 ENH: style / pep8 / docstring fixes in s/l/utils/fixes.py
new 7bae140 ENH: new make_rng utility function to help make PRNG seeding explicit
new f6089f1 TEST: forgot to checkin the unittest for the make_rng function
new cd5acaf ENH: add test for picklability of the spectral clustering model
new a426dbf Merge branch 'master' into l1_logreg_minC
new c6189e8 DOC: added reference to l1_min_c
new e44915f the l1 logreg example now works with l1_min_c
new ed33845 coverage 100% + pep8 small fix
new e538b0d Merged pull request #135 from paolo-losi/l1_logreg_minC.
new bf61233 DOC: fix links to l1_min_c
new 3600482 Reintroduce empirical_covariance function + docstrings + cosmit.
new e346bc3 FIX: reference to l1_min_c
new 762d270 Merge branch 'covariance' of git://github.com/VirgileFritsch/scikit-learn
new f3f7b47 Cosmetic changes in covariance.
new a048079 DOC: add low-level methods from libsvm.
new 7b70505 FIX: fix rename of grid_scores_
new 44f3d70 Do not open file write file until download is complete.
new c674b6c FIX: make normalizer use the real l1 norm on each row (without assuming positive values)
new 39149ea Add tests for libsvm.cross_validation.
new a7cc486 There is no scikits.learn.feature_extraction.text.sparse
new a34ba1a Fix minor typo
new fa9ccf3 Spelling error
new f7afbcd Merged pull request #4 from larsmans/master.
new 4e103c8 Add a small part about cross-validation + copyedit
new e59e8b9 Copyedit on the "working with text" chapter
new 7826fff Merged pull request #5 from larsmans/master.
new c88b5bc ENH: Update joblib
new adcbdfd Merged pull request #140 from fabianp/lfw.
new 6c3402c Copied the Sparse PCA file from the gist
new 425436f updates
new f890a41 [MiniBatchKMeans] Added a benchmark
new 266a6e4 DOC: typo in line-prof package name
new c5d20ba FIX: broken import in bench_plot_nmf
new b43b502 DOC: fix doctests to make them work with numpy 1.5 and olderw
new 803dc33 Make ball tree code safer and 64-bit clean
new 1409e01 Cleanup lib{linear,svm} C helper routines
new af6ab92 Add optional parameter n_class to load_digits.
new ef42c40 merged master
new c86a507 MISC: Prettify GMM example
new 6deb88e COSMIT: Pep 8 and remove useless imports
new 2f40141 Merge pull request #144 from larsmans/balltree-cleanup.
new 5df0a96 DOC: trim_doctests_flags = True for sphinx
new 44915af Spellcheck and formatting in developers' docs
new 4496ed8 Merge pull request #147 from larsmans/master.
new 8e7ac15 Merge (theirs) branch '0.8.X' into releases
new 658c6bb Merge branch 'releases' (from 0.8.X) into dfsg
new 69e764f Merge branch 'dfsg' into debian
new cd05e74 just a placeholder changelog for upcoming release
new cc500d5 ENH: avoid useless computation and warnings
new ec41def FIX: missing import in plot_covariance_estimation.py
new 80b2b86 Py3K: use explicit floor division
new 97bc011 Boost policy compliance to 3.9.2 -- no changes
new e404c35 RF: use joblib.logger submodule itself while accessing its function in grid_search
new 5990619 RF: use joblib.logger submodule itself while accessing its function in grid_search
new f624f9e Merge pull request #148 from yarikoptic/master.
new 6ee9d68 rename rng to random_state
new baa5e8f cosmit
new ed40b2d Preventing underflow in wishart_logz
new 8cdd02c Fixing 0* problem in z log z
new 455057b delayed check_random_state in k means and spectral clustering
new c2cb46c Fixing another underflow bug in digamma. Now the bound for spherical covariance never diverges as a cluster gets empty
new 904b4c2 Also, no warnings when running these tests
new f1c6265 Return also t from swiss_roll generator (needed to plot colors)
new 5b19ddb CSS style tweaks.
new 9aa0e2a more CSS tweaks.
new 733cbac Some more CSS tweaks
new 642ddc1 Initial implementation of Locally Linear Embedding.
new 2717b5b check input arguments to BallTree, and be more careful in dealloc'ing
new 2bab0b4 Re-generate .cpp from ball_tree.pyx
new 677d88b pep8 clean.
new 3fd831b typo
new 27dfe95 Merge pull request #154 from larsmans/master.
new 2df3f2a SGD module supports two additional learning rates: constant and inverse scaling.
new 326a81a Added SGD regression benchmark
new db8fb49 Fixed doc-tests and added doc strings for SGD learning rates.
new 66ef1bb added notes on learning rate schedules to sgd.rst.
new 89b396f added learning rate arguments to docstrings.
new 10febc4 Run cython on sgd_fast and sgd_fast_sparse.
new 1f0424b pep8 compliance
new 422d162 cosmit: removed trailing whitespace
new 8b5a027 kill trailing spaces
new 455ad64 ROC fixes for trivial classifiers (always predict one class) and input checks (raise ValueError in case of multi-class).
new 632b97b [MiniBatchKMeans] Added chart showing the speed and the inertia / total number of points depending on the chunk size and number of iteration
new 8ee00c6 added doctests for roc and refined documentation.
new 52c4cef merge with master
new f1928f7 [MiniBatchKMeans] PEP8 Compliance
new d85aba6 cosmit: pep8
new 569e804 cosmit: beautified plotting.
new 623a4d7 [MiniBatchKMeans] Fixed typo in attribute: cluster_centers_
new fd8353c [MiniBatchKMeans] Added some documentation and example
new b6ab08a [MiniBatchKMeans] PEP8 compliance
new 4f0158b merge master
new 20f1495 FIX: python2.5 SyntaxError
new ca558df FIX: tuples have no .index in python2.5
new ae05286 FIX: more python2.5 SyntaxError
new f38fd2c merge from master, update random_state API + pep8
new d8bc0ae Fixing test failures resulting from the merge
new a90819e FIX: explicit linking against std++ breaks under mingw32.
new 72a7b09 FIX: fix import paths in doctests.
new 94e2883 Merge pull request #150 from pprett/learningrate
new 2572441 docstrings: added note to roc_curve, changed y_scores to y_score.
new 3148626 docstrings: changed signature of metrics.auc from fpr and tpr to x and y.
new dfefb01 track changes from master
new 7613070 Merge branch 'rocfix'
new 4237752 Fixing some under and overflows; this doesn't fix all test errors yet
new 555ef24 Merge pull request #157 from fabianp/joblib_fix
new 21206f4 Removing some more underflows, still not all
new 0ea7d89 FIX: compatibility python2.5
new b4a6b57 DOC: add docstrings to BallTree.
new 856e9a1 Update neighbors with latest changes to BallTree.
new cda0f87 Updated installation instructions
new 5b26456 Merge pull request #160 from larsmans/master
new cbab7cc Compressed README.rst to make it an executive summary
new 55e3867 started work on homogeneity, completeness and V-measure as clustering metrics
new a371fd9 working implementation of V-measure, still needs doc and updated clustering examples
new 5bb104f [MiniBatchKMeans] Added a fit method to the MiniBatchKMeans
new 92257fd Merge branch 'master' into batchKMeans
new fd2fdc2 use V-measure metrics in K-means example
new fda0db3 add missing return info in swiss roll docstring
new 9a5f5c4 Merge branch 'master' into batchKMeans
new 1d66d0b illustrate clustering metrics on affinity propagation example
new f4f09c8 100% test coverage for the new clustering metrics
new 71ad011 more tests
new 5b8aeb2 add more documentation for the new metrics
new 4d0c331 typo
new cef6ccb typo
new a56ca0b [MiniBatchKMeans] PEP8 compliance and small fixed
new 8f76efd split some tests to make them more atomic
new a36f2fb Merge branch 'master' into clustering-metrics
new c34cf5d Trailing white space
new 4ba9b8a pep8
new f6b6e4c DOC: Fix layout
new c243d21 Revert "Remove references to y in preprocessing objects."
new 69f629e Merge remote branch 'upstream/master' into revert_preprocessing
new 7bd5b38 DOC: Fix layout
new 096b966 DOC: Fix layout
new d1962c8 DOC: Fix layout
new 79dce03 TEST: test for scaler in Pipeline
new 689f268 Merge pull request #163 from paolo-losi/revert_preprocessing
new 6a65388 Be more explicit about coverage testing
new 348d9aa DOC: improve datasets information
new 1c7c0114 MISC: links to upstream datasets
new 244abfb [MiniBatchKMeans] Small fixes
new a3521a5 [MiniBatchKMeans] Added an example
new ceeaf73 Fixed Lasso call, all is still not right
new faae928 DOC: Documentation about covariance estimation.
new a9644cf LARS _update_V fixed by Gael
new 39c12d7 PEP-8
new 7242ec2 Initial factoring into SparsePCA class
new 6463492 Update .mailmap
new 1f2a807 Layout fixes.
new 1c5d8aa Add analytics code to web page, SF discontinued web page stats.
new af5b05e Implemented transform, fixed confusion
new d671948 Changelog
new 2773f9a Some doctest fixes.
new 5900508 More docstring fixes.
new f21efa9 FIX: change doctest to avoid results with NaN
new 4285ab7 I have no idea why, but this fixes the broken doctest.
new 2ac5af8 Release 0.8
new da4f5de Merge branch '0.8.X' of github.com:scikit-learn/scikit-learn into 0.8.X
new 9ea3e10 Version number.
new 5dee67b Start of 0.9 development cycle
new 41c406f typos
new d90ba25 Merge branch 'master' into clustering-metrics
new 7b661c4 typo
new 198be6c Welcome Lars & Edouard.
new fcc6988 FIX: pls docstring.
new b3c9687 FIX: pls docstring.
new f7c9f24 Remove failing docstring for release ...
new fa6fca8 FIX: for SGD log loss
new 05afc5d FIX: partial revert of the SGD log loss fix
new 6bc68a2 DOC: added section on complexity for LLE.
new 81f2fbe Rename embdding_vectors_ --> embedding_
new 39e1816 Make the author file more consistent.
new f6b4a84 Merge (theirs) commit '0.8' into releases
new d12807f Merge branch 'releases' (0.8) into dfsg
new d67787a Merge branch 'dfsg' (0.8.dfsg) into debian
new d321362 changelog for 0.8.0.dfsg-1
new 2596c4d changed semantics of LossFunction.dloss.
new 595bf83 Merge remote branch 'upstream/master'
new f7d5317 FIX: reflect SVC API change (eps -> tol) in doc/tutorial.rst
new 524a009 cosmit: pep8 + doc
new 699fab0 cosmit: changed docstring of svm_gui.py.
new 9de7b66 Merge branch '0.8.X' into debian
new 965214e cosmit: removed requirements in svm_gui doc.
new 8b2aaf0 disable failing hmm test + changelog entry
new f03fee2 Merge remote branch 'upstream/master'
new 3dd1d00 naive bayes name change MNNB->MultinomialNB
new 3f4c3c6 FIX: reflect SVC API change (eps -> tol) in doc/tutorial.rst
new 28c30c3 cosmetic change to ball tree C++ code
new 47cbfbf FIX: strings are not necessarily singletones + catch mistakes earlier
new bbbe225 DOC: minor spellings fixes in pls.py
new 67ff4ef Merge pull request #164 from yarikoptic/0.8.X
new 4b8947e Add submodule for manifold.
new e70a3dd Cosmetic changes.
new 10c6e14 Merge branch 'batchKMeans' of https://github.com/NelleV/scikit-learn into NelleV-batchKMeans
new 1375582 Test KernelPCA support for n_components.
new cade238 Add support for n_components in KernelPCA.
new 49ccebf PEP8 fix.
new 2db54dc Merge pull request #167 from bsilverthorn/fix-kernelpca-ncomponents
new 5ea0643 BUG: Make SVMs work on non contiguous arrays
new 82aa58e COSMIT: Better fix for continuity in SVMs.
new 8eaf698 FIX: lars_path -- assure that at least some features get added if necessary
new 9967d57 test case for previous commit
new 8ddf771 minor -- pass verbose into LARS in the test case
new 19f0295 fixed bug in BallTree cython wrapper
new d33ee3e fixed small bug in cython wrapper for BallTree
new 7eae6e0 Merge pull request #168 from yarikoptic/0.8.X
new 6d2b4ce FIX: lars_path -- assure that at least some features get added if necessary
new 55b4584 test case for previous commit
new 1ed238d minor -- pass verbose into LARS in the test case
new ad2ee4d MISC: Recythonize the ball_tree
new 049a979 pep8
new c876e83 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 91751a6 more pep8
new 8849716 better docstring for the LabelBinarizer in the multilabel case
new 7af1c77 DOC: Fix links in covariance
new b4c2bdf started work on normalizer API simplification
new 1d0b8df [MiniBatchKMeans] Updated the example to compare BatchKMeans and MiniBatchKMeans - added the copy_x option to the BatchKMeans
new 29578c7 work in progress on package structure
new d89d3bc FIX: rounding issues on python 2.6 in clustering metrics doctests
new 95c3b4b ENH: add a note on the symmetry of the metrics
new 7cac98e ENH: simpler import statement in example
new d3e5262 ENH: simpler import statement in example + explicit square
new 6161e9a ENH: add links to the reference guide
new 323fb80 MISC: Remove unused imports
new da14f8e ENH: Make LLE work with older PyAMG
new 71819eb MISC: Prettify the swiss roll example
new 90b32d4 COSMIT: Remove unused import
new c3f33c3 ENH: better docstrings for symmetric considerations
new 08524b0 cosmit
new 5b593ca ENH: better organization of metrics references
new 8de5f59 ENH: reorganization of the document to be operational quicker
new 119fded fix broken test introduced in last checkin
new e38ee68 Add sparse.LogisticRegression to class reference.
new 1dc6c49 new utility function to generate blobby datasets
new 7f1b1b5 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 7dfe065 FIX: indexing bug when labels are not consecutive
new 34f060a Merge pull request #3 from GaelVaroquaux/manifold
new 24ca47e Compatibility Ubuntu 11.04 (with matplotlib 0.99.3)
new ef7a349 More on practical tips.
new df15f40 Typo
new 85fc047 FIX: bad import
new 3c3db66 Move cache_size out of model parameters.
new c61f016 Cosmetic changes in the docs.
new 839ff53 Docstring for test.
new 5d4a30f Test for non-contiguous input for svms
new 673ca56 Implement predict_proba for sparse svms.
new 6b074d5 cosmetic doc changes
new f10929e pep8
new a79579e Merge branch 'master' into clustering-metrics
new 85edc23 FIX: broken doctests
new b9b58c0 FIX: doctests in svm doc
new 93f9e96 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new e3b3f28 ENH: new utility function to shuffle data in a consistent way
new 3e94c85 Merge branch 'batchKMeans' of https://github.com/NelleV/scikit-learn into NelleV-batchKMeans
new a43363d cosmetic: pep8 in utils/ + rewrote factorial (2x as fast)
new 8618b88 DOC: clarified the default for NMF initialization
new e11c4ba factorial should not use O(n) memory
new fa9f1a3 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 42a58c8 Python 3-safe attempted import of factorial and combinations
new d54d6ca Merge pull request #161 from ogrisel/clustering-metrics
new 3b46e42 Merge branch 'master' into sparsepca
new 10051e1 Updated transform function, began tests
new 76d93c6 ENH: small fixes in scikits.learn.utils.shuffle
new 582fa82 [MiniBatchKMeans] Minor modifications on the examples
new cebecf8 [MiniBatchKMeans] Added labels and scaled the axis properly on the benchmark plot
new 08340af DOC: Prettify MiniBatchKmean example
new 7a9eb28 BUG: Fix pyflakes warning in k_means
new cd99c13 BUG: params not applied in MiniBatchKMeans
new 0cb216b merge with master
new 7e13274 ENH: MiniBatchKMeans: avoid useless computation
new f8525b8 BUG: MiniBatchKMeans: Error in stopping criteria
new 96d47af MISC: Cosmit in k_means_
new 5b39710 Merge remote branch 'gael/batchKMeans' into batchKMeans
new cd9e727 DOC: cosmit in MiniBatchKMeans docs
new 4169e28 TEST: Control seed in fastica tests
new 7638a39 Merge branch 'batchKMeans' of https://github.com/NelleV/scikit-learn into NelleV-batchKMeans
new 4b5fc0c Welcome to Nelle\!
new f351280 pep8
new dbac5c1 ENH: syntactic sugar for the shuffle utility
new fd9919d ENH: better / simpler handling of shuffling in MiniBatchKMeans
new 2391d94 updated ball_tree documentation
new d22e905 Merge commit 'upstream/master'
new 9bf47c2 ENH: Capture different data length in grid_search
new 84961ce added MLLE, made some small fixes to manifold module
new 5570a48 wrapped brute force neighbor search
new b721758 added cython wrapper to BallTree.query_ball
new 2ab954c ENH : using make_blobs in plot_affinity_propagation
new 3e0aeac ENH : using make_blobs in plot_mean_shift
new b281899 ENH : using make_blobs in plot_mini_batch_kmeans
new 6ec33ff FIX : removing useless seed fix in plot_mean_shift
new 54361ad Text chapter: load_files renamed load_filenames
new 7f6eb6e Merge branch 'master' of github.com:scikit-learn/scikit-learn-tutorial
new 7f42630 typos in README
new 82d2560 query_ball -> query_radius, removed knn_brute
new 2c938f4 DOC: minor typos in covariance doc.
new f64427b Merge pull request #178 from kwgoodman/master
new 087d6f2 BUG: Avoid NaNs in lars_path
new 7bfc2a1 typos in covariance docs
new a038854 Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new d0ae9f8 ENH: support instance of BallTree as input to kneighbors_graph.
new e219a7c Merge branch 'master' of github.com:scikit-learn/scikit-learn into manifold
new 5631ff9 Implement transform method in LLE.
new 4412c08 FIX: fix test.
new f97cefd more fixes.
new bf23ccd Merge branch 'master' of https://github.com/amitibo/scikit-learn into amitibo-naive-bayes
new e83a8cc naive bayes: copyedit + rename alpha_i to alpha
new 0b86ee2 ENH: optional and user-settable priors in multinom naive bayes
new 2cc1837 naive bayes: minor fixes
new 2a302fd Merge sparse and vanilla naive Bayes
new 80da99a docs + cosmit in naive_bayes
new d967530 speed up BallTree.h
new 843045d slight speedups to BallTree.h and ball_tree.pyx
new 4d70847 Fix spelling in dosctring.
new 55d2772 Merge pull request #181 from lucaswiman/master
new 43bcf61 ENH: refactored shuffle to address the resampling with replacement case + more tests
new 7cbc276 FIX: n_samples bug in shuffle, 100% coverage in utils, missing reference doc entries
new 1e418a9 first shot at a boostrapping cross validator
new afd8546 typos
new 5592fcb more typos
new 03cb369 added unit test for BallTree.query_radius
new ed40151 fixed reference-passing bug in BallTree.h
new 308eeb1 ENH: ensure that training and test split do not share any sample
new 948c4ef ENH: better input validation + more representative doctest
new 280f2af ooops
new 54bb8a8 cosmit
new baf555b DOC: cleanup in cross validation doc
new a395657 Merge branch 'master' into bootstrap
new 549d18d add bootstrap to reference doc
new 47f4a12 DOC: new section for the Bootstrap cross-validation
new 8173fed cosmit
new d04dac4 cosmit
new 0d59180 add see also in resample docstring
new 4c34265 FIX: make cross_validation_score work with sparse inputs
new 1d304ed merge master
new 1d8bcae cleanup leftover
new 41e1e92 ENH: add test for the permutation_test_score with sparse data
new 54067fe Merge branch 'master' into bootstrap
new e5b94d5 more tests
new a61093e Merge branch 'balltree-wrapper' of https://github.com/jakevdp/scikit-learn into jakevdp-balltree-wrapper
new 040938e Merge branch 'bootstrap'
new bbbb022 naive bayes: handle 1-d input
new eee5910 ball tree cleanup & 64-bit safety
new 48efee2 Modify the method computing errors on covariances (<cov_object>.error)
new e89a024 naive bayes: fix predict_proba bug and change priors behavior
new 3e4a85c Fixed issue 82: bug in init of Kmeans. I feel it is a little hacky since I copy init at the very begining, not in "_init_centroids". But in this function, X_mean would not be available. And I like this solution better than adding another argument to _init_centroids.
new 6a8dd42 Minor documentation: how passing a callable for init works.
new 0530495 Changed default initialization method to "k-means++" for consistency with k_means function. Don't know if this is the desirable default.
new 6f4021c fix naive bayes docs and example + credit mblondel + vanity
new 6722d79 typo: interation/iteration + re-Cythonize cd_fast.pyx
new cbbb0fc Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 7d83a82 vastly improved MLLE speed
new 5c42bde added HLLE code
new 0c55ac8 naive bayes: test pickling
new 4e928ae naive bayes: safe_sparse_dot, doc and docstring updates
new 943439d rename MultinomialNB params, rename GNB GaussianNB
new 06cca82 Bug fix: turn <covariance_object>.mse into <covariance_object>.error
new 151ebbc Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 4c54424 FIX: make r2_score and explained_variance_score never return NaNs
new 4163283 k-means clustering test: changed data points to be far away from zero. Now fails on initialization bug.
new 84525f6 FIX: fetch_mldata fixed to support non-standard data sets in mldata.org
new 946ff51 NEW: mldata tests
new e4dee4f ERF: Simplify conversion of mldata.org data set name to filename
new bd8c8fe reformulate MultinomialNB as linear classifier
new 9ec0824 ENH: add pre_dispatch to GridSearchCV
new 384fdb0 ENH: Catter for lists in grid_search
new 97f86b5 sped up HLLE code
new a98db44 Merge pull request #185 from amueller/master
new 9018064 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 5724245 pep8
new f4f55ac add a comment explaining the + 10
new 57cf25f NB: add class_log_prior_ and feature_log_prob_ back as properties
new a72e89e Merged Gael's gist newest update
new c0c1ee3 Merge branch 'master' into sparsepca
new 996eff0 A couple of passing tests
new b94c8fc NB cosmit: *feature* independence
new 6731b64 cosmit: expand MultinomialNB docstring
new 6dd017e Safer importing in grid_search module
new a8bf9e5 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new a7c3e46 Merge branch 'mldata' of https://github.com/pberkes/scikit-learn into pberkes-mldata
new 81bcf5a pep8 / style
new 4ec4a02 Merge pull request #1 from ogrisel/pberkes-mldata
new 4854280 FIX: fix segfault in cases of infeasible nu (NuSVM)
new 1d1b4dc FIX: Remove column name when renaming in fetch_mldata
new c986097 ERF: Improved coverage of mldata, taking into account network availability
new b4fab73 DOC: documentation for fetch_mldata
new e04d4f8 Covariance errors computation API changes.
new 33c4d15 ERF: Test mldata download using mock urllib2
new d7e64be Merge pull request #184 from larsmans/amitibo-naive-bayes
new fa8ae78 rm references to naive_bayes.sparse in docs
new 629f763 factored out the example code
new 2dd421d NB: rename use_prior to fit_prior
new 27ee5c4 DOC: a little commenting
new b3804e9 BUG: Minor bugs in cross_val
new 9703c23 FIX: fix pep8 and pyflakes issues
new be2d75a fix broken test in MultinomialNB
new e0a1b36 ERF: refactor object mocking urllib2 for general use (to be used in doctests)
new 55bcfed ERF: Refactor utility function to test that list of names are (not) in an object
new 1c7fd2f ERF: Move testing utilities to make them accessible from doctests
new 7602e4f FIX: Doctests use mock mldata.org and do not download
new aecc0b4 slightly improved logging in a few easy cases
new b094000 FIX: transform method.
new 6e46e2f DOC: small fix in datasets.rst docs
new ee14654 bugfix: bad Scaler example.
new 947b1b6 ENH: more readable datasets definitions
new 325bcfd ENH: avoid double HDD copy of mocked datasets + style
new dfd3a83 rm self.sparse attr in MultinomialNB; not needed outside of fit
new f1320bd fix priors bug in MultinomialNB
new 96b79a1 2010 is so last year
new a40922a Merge pull request #153 from fabianp/manifold
new a97e299 FIX: use NeighborsClassifier in test.
new aa84b2d Merge branch 'mldata' of https://github.com/pberkes/scikit-learn into pberkes-mldata
new d3bfaa5 Improved error handling + reduce memory use
new dd64030 Simplify intercept fitting in MultinomialNB
new df1fda0 Merge pull request #2 from larsmans/pberkes-mldata
new 85fa92a Error in MultinomialNB docs
new ab29811 merge
new 3dcfe3c merge master
new 1861307 add random projection and PCA to digits manifold example
new 8d37dcf use scikit-learn QR compat alias
new a0d6fbb cosmit
new 29a0913 Merge pull request #3 from ogrisel/pberkes-mldata
new 87ecbcc FIX: some bugs in locally_linear_embedding.
new ca3e787 ENH: split figures for better reusability and readability
new 144bde6 Merge branch 'extended-digits-manifold-example'
new b89174f ENH: make the LLE random seeding controllable and deterministic by default
new b4c39cf DOC: remove obsolete information in neighbors.rst
new 5939ca5 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new a68070a Add max_iter to LARS.
new e91a53e docstring style
new 01d10bf FIX: broken doctests and missing max_iter attribute in LassoLARS
new 2194925 fixed LARS doctest.
new 9926845 FIX: broken doctest in the documentation caused by the last fix
new 2b2f52c Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 5f87e43 Added naive Bayes classifier for multivariate Bernoulli models
new 3522d79 some documentation for BernoulliNB
new 71cffc4 Merge branch 'master' into preprocessing-simplification
new ae418f3 work in progress on SampleNormalizer unification
new c151af5 enable test for the sparse variant
new f9156e4 getting rid of the remaining stuff in the preprocessing.sparse package
new 858c43f more explicit / descriptive low level cython function names
new 3315aea cosmits / pyflakes / pep8
new 0c2ca24 ENH: improve docstring with missing parameters and motivations
new 05a52b7 factorize a normalize utility function
new 617d373 added ability to return distances and specify multiple search radii for BallTree.query_radius()
new f192cfe fixed r shape bug
new d718744 Better doc for the dataset loaders.
new dc6b31c Make kernels consistent with SVM and add sigmoid kernel.
new 264b1f1 Fix LDA transform.
new d2a1339 Add LDA to the handwritten digit 2d-projection example.
new 20e6298 Add TransformerMixin to LDA and RandomizedPCA.
new 6444a43 Cosmetics.
new 76b8a9e Merge branch 'manifold' of git://github.com/fabianp/scikit-learn into manifold
new 4504663 s/SampleNormalizer/Normalizer/g
new 980fbf7 Merge branch 'master' into preprocessing-simplification
new b3e642e moar tests
new b5e8b19 more tests for preprocessing (scaling)
new 6086c9b more tests for preprocessing: coverage is now 100%
new 8020de6 make centering optional in Scaler / scale + fix broken test
new 7d83db9 one more test
new 3884786 one more test for preprocessing (no mean centering)
new d2d4336 fail early
new b3fea3b pep8
new a1fda46 ENH: docstrings for Scaler / scale
new b619e5f pep8 changes
new b8c1759 bugfix: sparse_format can be omitted
new e418d3c typo
new dd6a4ff better docstring for Scaler
new bc1e469 register the preprocessing utilities to the reference documentation
new 36bb65b fixes in See also sections
new 7fd4084 ENH: give motivations for standardazation in the Scaler docstring
new 603ecdf ENH: style fixes and better use of the scikit-learn API in ROC example
new 58966b7 Merge branch 'master' into preprocessing-simplification
new 1299ffb started work on the narrative documentation for the preprocessing package
new 4279e16 typo
new 04c9dfa reorg TODO and notes
new 4391c99 DOC: section on normalization
new 77817a8 Do binarizing in BernoulliNB
new c26f65a DOC: section on feature binarization
new 5492e7c transpose data on input and sources on output. This makes the interface compatible with the other decompositions
new 42e6ae5 Adjusted examples to new ICA interface
new daf6453 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new ef38ea7 factorize the binarize function + write documentation
new 91de2ad format
new 2d988c0 typo
new 386e420 I don't really understand this, but it makes the error go away.
new 51feb21 Added warning to fastica
new 657b41d Simplify binarizing in BernoulliNB
new e98bac8 pep8
new 4762cfc fixed bug
new 6f85683 pep8
new b26393f typo
new c5bb239 mention LDA in docstring
new 74b762e print docstring in examples
new c3b98c1 typo
new 3f0f970 pep8 and starting with X in right shape
new 705b35b Merge pull request #200 from amueller/minor_docs
new c57b123 cosmetic changes
new b33ead7 Twenty newsgroups will not create folder if the folder doesn't exist and the files won't be downloaded anyway This happens if the folder doesn't exist and download_if_missing=False
new 362bf3f Merge pull request #194 from jakevdp/balltree-queryrad
new d7499b8 fix message in document classification example
new 1ce86f3 Merge branch 'master' into bernoulli-naive-bayes
new 7880af7 Optimize BernoulliNB + improve docstring + add to doc-class example
new dea2a3b rst fix
new 08f749e DOC: fix errors in manifold doc + style tweaks.
new ea59ba4 Explicit cmap in swissroll example.
new 559496b Merge pull request #203 from amueller/docs_fix_again
new 575c0fe Merge pull request #193 from ogrisel/preprocessing-simplification
new cf8bf52 Notes on Fortran-ordering in fastica
new c9e9523 Better PCA docstrings.
new f6db31d Fix LDA.transform's docstring.
new dd00031 Copyedit preprocessing docs
new d0750d0 Merge pull request #198 from amueller/fastICA_transposed
new fb5d723 Typo.
new d53e3f9 Add hinge_loss to metrics.
new 50e9f18 Initial checkin of sparse.MiniBatchKmeans clustering + document clustering example on 20 news.
new 1bf591c enh: compute cache only on samples in current batch. now significantly faster.
new cdcc8ea Refactor MultinomialNB: separate prior estimation and feature counting
new 765ce7d Added different compute_cache functions: dot and euclidean distance.
new 0f7e074 Use unique from utils.fixes in naive_bayes
new 6bb2b37 added SpectralClustering to document_clustering example. rm compute_cache from cython codebase.
new 00d7de6 fix: random_state was set to None.
new 82c4cc3 use provided x_squared_norms instead of recompute (if none euclidean_distances will recompute).
new c334708 reuse squared sample norms if possible (_calculate_labels_inertia).
new c9a7345 Python2.5 compatibility
new 1af80ea Merge pull request #207 from pprett/mbkm-fix
new f228fdb Fix bug in MultinomialNB: output transposed
new 11b0160 Replace loop in MultinomialNB._count with dot product + pep8
new f120d2e BUG: explicit imports in doctests
new 02e673b BUG: binary classification failed in MultinomialNB, +regression test
new 69f78db Fix 404 from broken URL in release log
new 1e2d35c ENH: fit_transform on TfidfTransformer
new 857930f add C parameter to LinearSVC docstring
new 46c3bc2 Revised text classification chapter
new dca2c71 Copyright and project name in HTML footer
new 5e57728 Merge pull request #6 from larsmans/master
new 7e71ad9 Fix pprett's website URL (<> caused it to be a relative URL)
new 4a00ed5 add the test command
new 02b697a Use euclidean distance.
new 2598d39 Merge remote branch 'upstream/master' into sparse-mbkm
new 2393d67 dense and sparse seed differences: change order of shuffling X and init centroids to ensure consistant results.
new 2f5248b changed mini batch representation in dense MiniBatchKMeans - saves mem but increases runtime.
new f035f4e Merge branch 'master' into bernoulli-naive-bayes
new ed1bfa4 deleted sparse clustering package. Moved _fast_kmeans.pyx to parent package and renamed to _k_means.pyx.
new 04c121d Merged dense and sparse MiniBatchKMeans implementations. MiniBatchKMeans now supports both dense and sparse inputs X.
new 129fe59 Document clustering example updated.
new 43c76c3 cosmit: pep8
new db3d273 fast function to compute l2 norm of rows in CSR matrix.
new 8bb2fc2 set max_terms to 10k. Added spectral clustering.
new 794605a Refactor MultinomialNB and BernoulliNB: introduce BaseDiscreteNB
new f5c0cb5 Fast and memory-efficient loader for the svmlight format.
new 9de3afe Allow to user to fix n_features.
new 333d5ea Docstring.
new 8e7369c vectorize loop in BernoulliNB for 100x speedup in sparse case
new 1b47641 Important note.
new 059a129 Propagate errors up to the Python level.
new f98bb35 svmlight reader: don't use leading _ in identifiers
new cf623ab FIX: update mldata tests to match recent updates; mock_urllib2 now accepts ordering parameter
new 2b379fe Narrative documentation.
new a770a59 Merge branch 'svmlight_format' of git://github.com/mblondel/scikit-learn into mblondel-svmlight
new aa3e4f9 SVMlight reader: minor fixes
new 9b3f0f4 SVMlight reader: ensure C calling conventions + docstring
new 3dc5d24 Update credits.
new 6582a72 Return false when couldn't read the file.
new 7eab00f Fix comment.
new 8526ab6 Plumb memory leak in SVMlight reader
new a1156da SVMlight reader: one more clear() instead of delete
new d7debeb SVMlight reader: cosmetic
new 20c15ee SVMlight reader: skip one level of indirection
new 24619a6 Simplify and document SVMlight/libSVM data reader
new 6566057 Use C++ exception handling in SVMlight reader.
new 8d5e00d Merge pull request #6 from larsmans/mblondel-svmlight
new fb3ecab finish exception handling in SVMlight reader
new ea11518 Extend MultinomialNB tests to BernoulliNB
new 5ab1fee Update BernoulliNB docs
new e5f4b44 Updated README
new c08faad BUG: broken doctest in BernoulliNB
new 025ce37 renaming, included tests
new dee7edd Merge branch 'master' of github.com:scikit-learn/scikit-learn into sparsepca
new 8459e30 Updated init.py
new bd6ac1a one more test and a quick example
new 1a1510a Merge branch 'mblondel-svmlight' of git://github.com/larsmans/scikit-learn into svmlight_format
new 650c464 Fix compile issues on Mac OS X.
new 446687a Fix ref counting bug.
new d59a06b More comments.
new c92d52c Glitches in BernoulliNB and DiscreteNB (mostly docs)
new 841a295 Merge pull request #210 from larsmans/bernoulli-naive-bayes
new 2cede17 SVMlight reader: memory leak, type test
new 772b24a (Hopefully) full exception safety in SVMlight reader
new 4f059a5 Merge pull request #7 from larsmans/mblondel-svmlight
new f70c442 load_svmlight_format -> load_svmlight_file.
new c7735e3 pep8
new 5fd648c DOC: foundations, prettified example
new 236243c added arpack support in scipy_future; wrapped MLLE and HLLE into locally_linear function
new 26cf261 Merge branch 'master' into pberkes-mldata
new 535e910 DOC: reorg of dataset page to make it more consistent
new a7c75a2 Merge branch 'master' into svmlight_format
new 483b3ac datasets/mldata.py is not a script, chmod 644
new 20d7191 Merge pull request #209 from mblondel/svmlight_format
new 08b7f87 Python 2.5 and SciPy 0.7 (tentative) compat in mldata
new b730d3a Fix broken doctest in mldata
new 7ec2f91 removed old files; moved example to examples directory
new adff6b1 Doc enhancement, added alpha in transform
new 491129f pep8 changes
new 8bdf678 Merge branch 'master' into sparsepca
new 159bcb1 FIX: make the dataset doctest fixture modular
new dbaea6f typo
new 1f99835 Added ridge in transform (factored here for now)
new c0187b9 Removed print statement from test. Whoopsie!
new ed1215a prettify plot_sparse_pca.py
new d124bde adding authors in sparse pca
new 6b0b36d Merge pull request #2 from agramfort/sparsepca
new 668094e7 document placement new in SVMlight reader
new a455d4d Documentation fixes.
new 3642ab1 Initial integration of Orthogonal MP
new 3e72041 added LTSA method
new 0cb2e3c Renaming, some transposing
new b215812 pep8
new 12fcc75 Tests and the refactoring they induce
new 7b4cdb0 PEP8
new 09e17cf Added signal recovery test
new 69ccac9 rigurous pep8
new b3e6f81 Added the example
new 0264056 Cosmetized the example
new e5b5c35 s/nonzero/non-zero
new 25418ff Remove ugly BLANKLINE stuff from text chapter
new f5c5e9a Use grid_scores_ instead of _get_params + small fixes in text chapter
new 4643f25 fixed bug in modified LLE: now works for higher dimensions
new a7df3c8 added method argument to digits example
new c6f2366 track changes from master
new e61a052 fit_transform does NOT return self + other docfixes
new d4982ef ENH: Lasso and LassoCV: fit params -> class params
new f2f0cae DOC: Tweak the cross-val lasso path example
new 6f8bd76 ENH: LARS: fit_params -> class params
new 83cf11c COSMIT: Minor refactor in lars_path
new 60b2597 ENH: Add a ShuffleSplit cross-validation iterator
new c312618 fix a typo in neighbors docs
new 4d3926b fix restructured text problems in the developers doc
new cb43d65 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new e5d19f8 BUG: Fix bug introduced in 83cf11c
new 45f38b2 Merge pull request #216 from ametaireau/master
new cd694e7 Merge pull request #1 from ogrisel/jakevdp-manifold
new 2c1c88b BUG: change alpha scaling in LassoLARS
new e65e93e Add test and cleanup for 2c1c88
new 873256b Added Olivier's patch extractor with enhancements
new 6ee443a cleanup
new 06067f6 Tests for various cases
new fcb81ab BUG: LassoLARS: X: modified during the normalization
new f1df50f PEP8, renaming, removed image size from params
new 4b172d1 Add note to base fit_transform doc.
new 5bdc3ab Parallel vectorizing is slower than serial
new e304597 Raise error if file doesn't exist.
new 79ba998 Fix parsing issues.
new dafec63 BUG: LassoLARS didn't renormalize the coefs
new 45f99c6 Test: test for unnormalized predictors.
new 9bfd806 Add failing test.
new cfc0dee DOC: add reference to FastICA from the ICA docs.
new 5342cc9 Rewrote SVMlight parse_line with C++ iostreams
new 32f8c47 More tests for the svmlight reader.
new 064a800 SVMlight reader: some extra tests + cleanup
new 5a905e5 DOC: add fit_intercept to LinearSVC docstring.
new 03b5e9c Merged Gael's latest update to sparse_pca.py
new 9c4c63f Merge branch 'sparsepca' of github.com:vene/scikit-learn into sparsepca
new 898777a Merge branch 'sparsepca' into sc
new 1ff5944 Adapt kNN classifier to sparse input
new 53cc842 Use new utils.atleast2d_or_csr in naive_bayes as well
new 38235cf FIX: update_V without warm restart
new 1a745d3 FIX: weird branching accident
new 1de74af Merge branch 'sparsepca' into sc
new e1ef751 Revert "FIX: update_V without warm restart"
new a557817 Revert "FIX: update_V without warm restart"
new 0e83b3e Revert "Revert "FIX: update_V without warm restart""
new 2cef229 Merge branch 'sparsepca' into sc
new 00c976e FIX: make the dataset doctest fixture modular
new 2c425fa typo
new 7ee358f document placement new in SVMlight reader
new 7158ee3 Documentation fixes.
new 23704df Initial integration of Orthogonal MP
new 170cc2f Renaming, some transposing
new aa3bd39 Tests and the refactoring they induce
new 487a8e1 PEP8
new 6c74b15 Added signal recovery test
new 9f5f0c3 rigurous pep8
new 26fad8d Added the example
new 37dc0c5 Cosmetized the example
new b8ed9cd Added Olivier's patch extractor with enhancements
new afd860a cleanup
new dde98c0 Tests for various cases
new 057b7f3 PEP8, renaming, removed image size from params
new 77b6612 FIX: weird branching accident
new c02d81e Revert "FIX: update_V without warm restart"
new 7aa4926 Revert "Revert "FIX: update_V without warm restart""
new cfd5b34 Merge branch 'sc' of github.com:vene/scikit-learn into sc
new 1598c40 FIX: update_V without warm restart
new 34c6585 Added dictionary learning example
new 43acd7f ENH : prettify dict learn example on image patches
new ad5b4ca pep8
new 2a256ff Merge pull request #3 from agramfort/sc
new 0fe40e4 Document sparsity in k-NN
new 019ac66 Correctly document sparse input possibilities in naive_bayes
new d8ede1e Merge branch 'master' into sparse-knn
new 849ff59 renaming for consistency, tests for PatchExtractor
new 4e90475 Add sparse k-NN test, fix a bug
new 6a44386 Extend sparse k-NN test to try pairs of sparse matrix types
new a3cdda7 Fix bug in sparse k-NN and add disabled (!) test for sparse regression
new bd26fd8 Better document scipy.sparse support in neighbors module
new 7af69d7 Initial shape of dictionary learning object
new bf613b0 Added DictionaryLearning to __init__.py
new 8550f10 FIX: silly bugs so that the example runs
new 620b907 ENH: Tweaked the example a bit
new 0c51fba PEP8
new 82a2d3a Prevent some copying in neighbors + docstring for euclidean_distances
new 64b04d1 ENH: Update joblib to 0.5.2
new 5cc0473 Copied the Sparse PCA file from the gist
new 233f050 Fixed Lasso call, all is still not right
new 68d4baf LARS _update_V fixed by Gael
new 0882e1d PEP-8
new eb769f1 Initial factoring into SparsePCA class
new 054b2ee Implemented transform, fixed confusion
new 88aa176 Updated transform function, began tests
new 7809996 Merged Gael's gist newest update
new ba03b11 A couple of passing tests
new 0d1a6fd factored out the example code
new ab44438 DOC: a little commenting
new 36aa5b8 renaming, included tests
new d9ca705 Updated init.py
new 246f95e one more test and a quick example
new 90f359b pep8
new ecacbea DOC: foundations, prettified example
new f3de9b3 Doc enhancement, added alpha in transform
new f9ed2e3 Added ridge in transform (factored here for now)
new 213ac0c Removed print statement from test. Whoopsie!
new 72f0b7d prettify plot_sparse_pca.py
new 3ddf206 adding authors in sparse pca
new e437e98 s/nonzero/non-zero
new 9d5ce8b Merged Gael's latest update to sparse_pca.py
new e19a440 FIX: update_V without warm restart
new e9b8347 FIX: weird branching accident
new f5d757c Revert "FIX: update_V without warm restart"
new 5250036 Revert "Revert "FIX: update_V without warm restart""
new 7b1e063 ENH: Update joblib
new cad248c MISC: minor cleanups
new 981478e more tests for (mini-batch) k-means (99% coverage).
new bf41c13 Merge branch 'master' into sparse-mbkm
new 2fd33fd FIX : using product form utils.fixes for python 2.5
new badddc8 pep8
new a9ea545 MISC : fix docstring, cosmit in image.py
new 98f592d FIX; missing import in dict_learning.py (OMP in transform in not tested
new ead245d Refactoring in ridge.py
new 7538049 Rename of cg -> dense_cg and 'default'-> 'dense_cholesky'.
new 5698a4c Some docstring updates.
new 4309c35 minor changes
new 31a2a11 NeighborsClassifier: changed window_size to leaf_size & updated documentation as discussed in Issue #195
new 1cd62ba Use 10 neighbors in k-NN document classification
new c9d7a3f neighbors: check string equality with ==, not is
new c7365e2 Copyedit SparsePCA docs
new 24c3a68 Merge pull request #5 from agramfort/sc
new 1a51660 Merge branch 'sparse_pca' of git://github.com/GaelVaroquaux/scikit-learn into sparsepca
new 7f6b1ff Finished merging Gael's pull request
new 10cb314 Merge branch 'master' into sparsepca
new 9847371 Merge branch 'master' into sc
new 1b76e96 Merge branch 'sparsepca' into sc
new c01ea0e Merge branch 'sc' of git://github.com/larsmans/scikit-learn into sc
new e0a9008 Copyedit SparsePCA docs
new b45a5ff Renaming, part one
new fd98b57 Merge pull request #219 from larsmans/sparse-knn
new 302d33f Some doc copyediting
new 7e83a53 Renaming, part two
new f68b50a Renamed online dict_learning appropriately
new 61ee071 Merge branch 'sparsepca' into sc
new b579582 Renaming part three
new d014aad Fixed dico learning example
new 993fbe7 Used @fabianp's ridge refactoring
new 83771ab Exposed ridge_regression in linear_model init.py
new 4804f5e Merge branch 'master' into sparsepca
new d11d4e2 Updated ridge import
new b99397a Merge branch 'sparsepca' into sc
new df89fab FIX: checks in orthogonal_mp
new 5c3bafd Cleanup orthogonal_mp docstrings
new bcde8c0 Change normalization behavior in TfidfTransformer
new c2a2fc2 Docfixes in feature_extraction.text
new 4783ebe fixed doc formatting
new c3591b3 merged with sparse classifier commit
new c131696 merged changes in master
new 37b8109 pep8
new 6af8179 merge with previous commits
new f75f47d H_tol/M_tol -> hessian_tol/modified_tol
new 1b427d9 Move scipy_future into utils.arpack
new d922db3 Add Jake to the mainfold credits.
new 4ebd826 Remove bogus sparse vectorizing tests
new 49a034d docfixes in feature_extraction.text
new 484d9bd OMP docs, a little broken for now
new d673f82 document classification example doesn't demo only linear classifiers anymore
new c1e234e DOC: omp documentation improved
new 4391ac8 make parse_file in SVMlight reader static
new a48b00e DOC: omp documentation fixes
new 516812e Merge pull request #222 from jakevdp/balltree-doc
new 8fb39dd DOC: dict_learning docs
new 786ce12 dictionary learning tests
new 598aee0 Fixed overcomplete case and updated dl example
new 7b7f32f fixed overcomplete case
new b5b833e Explicit cmap for plot_compare_methods.
new 468e4c2 Cosmetic cleanup.
new 87364ee Fix broken doctest in NeighborsRegressor
new efa5e37 PEP8
new 5cdbb8f FIX: strings are not necessarily singletones + catch mistakes earlier
new ff4eff0 DOC: minor spellings fixes in pls.py
new 06429c5 FIX: bad logic in Pipeline.
new e3d00d2 Revert "FIX: bad logic in Pipeline."
new 2f741ac online dictionary learning object
new 847d002 BUG: Make SVMs work on non contiguous arrays
new 28dcc2c COSMIT: Better fix for continuity in SVMs.
new e17ae1f Test for non-contiguous input for svms
new f96263a FIX: fix segfault in cases of infeasible nu (NuSVM)
new cf5c72e 0.8.1 release.
new 48a3cd1 Better performance of Ax=b solver when b is 2d and A is sparse, and add new tol parameter.
new 7a6b239 Fix doctest.
new ff671f5 factored base dico object
new 038cd46 pep8
new e3ef711 Merge branch 'sparsepca' into sc
new 16ac0ec pep8
new db08066 more transform methods, split_sign
new 7826f94 OMP dictionary must have normalized columns.
new 853e469 Merge commit '0.8.1' (theirs) into releases
new 0268272 Merge branch 'releases' into dfsg
new 2e630ce Merge branch 'dfsg' into debian
new 3b48abd changelog for 0.8.1-1
new 2749234 ENH : new radius_neighbors_graph to build graph of nearest neighbor from radius
new 16991d5 Merge branch 'master' into sparsepca
new 8a553f5 Merge branch 'master' into sc
new dba0802 Search tfidf__norm space in text class. grid search example
new 09d3335 Merge pull request #228 from larsmans/tfidf
new 514c4f3 Use four categories instead of all in doc. class. example
new 30683e6 ENH: Add small info on diabetes
new 1872fb5 changed batch representation from indices to slices.
new d08d58b DOC: improved dict learning docs
new f65dec3 Tweaked the dico example
new 8a524b5 Refactoring in libsvm bindings.
new 12d5159 FIX: fix bug in LLE with dense solver
new e8ed5e7 Update ARPACK from scipy.
new 24ab71e Backward compatibility fixes for testing LLE.
new d3b3a94 FIX: arpack doctest
new 7809e44 comment LLE arpack test
new 75773ff exposed dict learning online in init
new b06f121 working on partial fit
new 3f4d0cc Optimize CountVectorizer.fit_transform (+ minor refactoring)
new cdf7df9 pep8 feature_extraction.text + rm content word "computer" from stop list
new 37a6b97 Protect against MemoryError in libsvm.fit
new 3096b68 DOC: Expand and copyedit naive Bayes docs
new d6a5d7d Recythonize libsvm.pyx with Cython 0.14
new 9704604 Refactor/simplify CountVectorizer
new bad0431 denoising example
new f243393 Refactor feature_extraction.text (again) to use Counter
new 5ae3c91 Annotate the example
new 7b42c64 partial fit iteration tracking, test still fails
new 3bdc425 FIX: typo, s/treshold/threshold
new 7875faa FIX: doctest Ridge.
new baf2977 Replace mixture.logsum with numpy.logaddexp
new bbce0fd FIX: add newline after autosummary:: sphinx directive.
new a8c3e61 Layout & consistency fixes linear models documentation.
new 37d4939 cosmetic linear_model.rst
new fcb45b0 FIX doc linear_model.rst
new f7b05a9 test for vectorizer_inverse_transform
new 0694387 Layout tweaks.
new 32619c9 on demand inverse vocabulary
new 02c78d5 Implement fit_transform for Vectorizer as well and document it
new 59253f5 Default argument safety + cosmit in feature_extraction.text
new f15de34 DOC: adding radius_neighbors_graph to doc
new 59e2955 pep8
new d1262f8 typo
new ce71714 DOC fixes in datasets
new 958b7df Reverse coef_ in Ridge.
new 05f54c2 DOC: new example for Ridge + more rst docs
new 7d1200d Changed the default return type of ward_tree from bool to int
new 83a266c adding a comment on the test for grid_to_graph
new 3cad001 Merge branch 'sparsepca' into mblondel-fix_ridge
new 7a87962 simplify sparse pca
new 1fd8277 Tweak denoise example spacing
new ef41e46 pep8 examples
new b584bab pep8
new fcae8f0 Merge pull request #235 from mblondel/fix_ridge
new 6fa3a6b Merge branch 'master' into sparsepca
new aad908d Merge branch 'mblondel-fix_ridge' into sparsepca
new c154810 Merge branch 'sparsepca' into sc
new 791d4b5 Merge pull request #234 from larsmans/inverse-vectorizer
new 5bcbb3c FIX hmm.py to succeed tests; stopgap, put old logsum.py in that module
new e5ca264 FIX and ENH feature_extraction.text.CountVectorizer
new 9bc1a90 random state control, comment fixes
new 80b9854 Merge branch 'sparsepca' into sc
new 8065cf7 random state control
new 34b3276 clarify lasso method param
new e95d364 Merge branch 'sparsepca' into sc
new 78cf3bf clarify lasso method param in sc too
new 4f05f93 default arg safety + docfixes
new 2982590 Improve Logistic Regression sparsity example.
new 5fe3ea9 Better test and remove old garbage.
new 61cb912 s/seed/random_state in patch extractor
new cb9dbd0 DOC: fixed patch extraction comments
new 767de18 ENH: PatchExtractor transform
new 346330b d:/progs/Git/s/seed/random_state in dico learning example
new a67b287 d:/progs/Git/s/seed/random_state in denoising example
new 9992f70 Started one-hot transformer
new 259bd0e Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 7fab6da FIX broken test for CountVectorizer
new 94eb7c0 pep8 and using np.bool instead of bool
new 7d2ab8f Revert "Started one-hot transformer"
new 6c01e89 Merge pull request #236 from JeanKossaifi/sparse_matrix_type
new c52440a Don't use np.atleast_2d when interfacing with native code.
new 9685b97 Allow CountVectorizer to be fitted twice.
new 415be5d Remove unnecessary submethod.
new 145fb81 2011!
new b730d3d FIX: s/V_views/code_views and pickling
new 7ec38ba Merge branch 'sparsepca' into sc
new 09f5b28 DBSCAN clustering algorithm. A density based cluster analysis algorithm that looks for core points in dense neighbourhoods. Comes with a test function. References an example that is not yet created (I'm working on that now). The structure of the DBSCAN code and the test are from the AffinityPropogation algorithm, and takes a Similarity matrix as input the same way (different other parameters though!).
new 26a441f DBSCAN density based clustering algorithm (Ester et al. 1996) Comes with test function
new 273c214 Some documentation for hmm module, and a warning.
new 38e1071 Merge pull request #230 from agramfort/radius_neighbors_graph
new 26795bd Example file based on Affinity Propogation example. Plots core points larger than noise and non-core points.
new a11eae6 Fixed noted issues with previous version
new a3fde56 params in DBSCAN.fit description
new dfaa407 DOC grid_search + pep8
new 19ccdb3 DOC: more sparse pca narrative documentation
new 0a5dfb1 FIX: gram when method=cd
new 470c94b DBSCAN now takes either a similarity matrix, OR a feature matrix. If a feature matrix, distance is calculated using scipy.spatial.distance.pdist Test added to test this feature.
new e433952 ENH: make rng of the LLE tests controllable to hunt down potential NaNs
new 8838d03 Merge branch 'master' into sparsepca
new fe3c8d9 removed fit_transform overload
new 99a64df Merge branch 'sparsepca' into sc
new f38c5ab Refactor naive_bayes and don't treat BernoulliNB as linear model
new bd72672 ENH show top 10 terms per category in document classifier example
new 6a5bede squared loss -> squared hinge loss.
new 09bb0ce COSMIT: Simplify the lena ward example
new 7957572 Cosmit
new 0219e66 Rephrase motivation for Sparse PCA
new a9bd3eb Misc rephrasings of sparse PCA docs.
new a0aa0b2 Remove 'structured sparsity not implemented' comment
new 2ff6954 Prefix explanation of sparse PCA formulation with 'Note that'
new 68634c2 atoms -> components for clarity
new 2ec3f20 Trailing whitespace fix.
new d46b820 Rewording in docstring
new 4d874b9 gradient descent -> coordinate descent in docstring
new 5f4d6b7 'Returns' section of the _update_code docstring
new b521b21 Wrap np.seterr reset in a try..finally block
new 3edfda7 FIX the IRC chan used is scikit-learn, and not learn
new ee56dcb Merge pull request #247 from NelleV/FIX_doc
new cf86e28 some optimizations for GaussianProcess
new 7a62ae2 pep8 improvements
new 9e2792b remove unnecessary parens
new 1486d24 Cosmit
new eb92e52 ENH: l1_distance: gaussian_process -> metrics
new 4ea4754 DOCFIX typos in svm module
new e9e4b09 Doc: fix minor error in docstring
new dba41e4 DOC: sparse_pca: put maths at the end
new 0219296 DOC on sparse_pca
new 69a5453 DOC: Add l1_distances to classes.rst
new aad6f3e cosmetic changes to DBSCAN
new 99a0e9b vectorize loop in DBSCAN with np.where
new 5ef258b Cosmit DBSCAN test
new 760c154 DOCFIX DBSCAN: we use arrays, not matrices
new bccb5bf DOC: consistent punctuation, minor enh
new 92e5966 DOC: missed a couple of dots
new 689b339 ENH: verbose and title in sparse pca example
new bec7d0a ImporError -> ImportError
new 2885a39 TEST: faster tests, and more coverage
new ee429af Merge pull request #248 from dwf/misc_fixes
new 4867237 BUG: Fix gmm bug + test failures
new 5a3fd7d Streamline imports in lfw.py: don't try anything with PIL
new c51dfa1 DOC: fixed typo in sparse pca narratives
new 3baf1f7 Merge branch 'dwf_sparse_pca' of git://github.com/GaelVaroquaux/scikit-learn into dwf_sparse_pca
new 295fc55 TEST: fake parallelism
new da56e4e FIX/ENH: numerical stability in GMM
new 9300689 TEST: fake only on win32
new 5a0c5c4 TEST: no meddling with joblib outside of win32
new 0d9a3fc Merge pull request #1 from larsmans/dbscan
new 2ac8df5 Merge branch 'master' into sparsepca
new ee040ce Lower tolerance in sparse pca example
new 6947828 DOC: sparse pca transform rephrasing
new c2aac46 DOC: more sparse pca transform rephrasing
new f3f24cd Restore conditional PIL import in datasets.lfw
new 1fbe5d2 Comsit: PEP8
new d439d8d Cosmit: remove useless comments
new 30f2fab One big decomposition example
new 2fcbe5b DOC: consistent coding method in docstrings
new 1239216 Merge pull request #7 from GaelVaroquaux/dwf_sparse_pca
new 1b850e1 TEST: more coverage
new 3aae4a7 MISC: Restructure compound decomposition example
new d115860 TEST: SparsePCA: testing fit_transform useless
new c7f4b36 FIX: sparse pca ignored initialization
new 7242b65 Merge pull request #8 from GaelVaroquaux/dwf_sparse_pca
new 75b9895 Merge branch 'sparsepca' of github.com:vene/scikit-learn into sparsepca
new 39cdda6 FIX: typo in example s/cluter/cluster
new 485ba6a pep8
new e1452d1 pep8 in example
new 43ab08a FIX: messed up images in narrative doc
new 8f2dfea FIX: example image order is consistent (for now)
new fefce5e TEST: testing HMM more robust
new 1e56a3c ENH: predictable ordering in example, included kmeans
new a5fd9a4 Merge pull request #212 from vene/sparsepca
new 4ca0cce Merge remote-tracking branch 'master/master' into sparse-mbkm
new ab3d07f ENH: mixture: better numerical stability
new 14842fc moved _gen_even_slices to utils/init add test codes for checking callable init
new 40f9170 pep8
new b87d586 FIX : fix failing test in comparison between lassoCD and lars
new f690851 pyflakes warnings
new 15ad168 pep8
new f497509 Revert "pyflakes warnings"
new 61fef5d Covariance with residual at the end for path is zero.
new ccacfb3 Cosmit: Fix (some) pyflakes warnings
new 39ef1e6 Added loader code for (Roweis) Olivetti faces dataset.
new c9b5711 Added imports to __init__.py for Olivetti faces
new f4b74fe Documentation for the Olivetti Faces dataset.
new d8da0ca Remove 'load_' alias for 'fetch_'
new e0f4acf Use prints for now instead of logging at Gael's request
new d3909e3 Add a shuffle keyword, default False
new a1b49ec ENH: olivetti faces: control RNG in shuffle
new ab41d59 DOC: Add a descr to olivetti_faces
new 854159a DOC: fix some formating issues
new b7e01da DOC: Fix layout
new 85d0a81 DOC: fix layout
new 21f3659 FIX: LARS doctest in linear_model.rst
new d6121a8 DOC: fix layout
new edce447 DOC: copyedit docstrings in pls.py + (almost) pep8-clean
new 32738af pep8 and docfixes in various modules
new a99a58b kernel pca gets its own module
new c72b4f3 pep8 and docfixes for LLE
new fc5c6b9 suppress division by zero warnings from precision, recall, f1
new 462e2ce simplify np.seterr handling in sparse_pca
new 19825df label_num is now only calculated once. This corrects a previous patch, which I incorrected half finished a refactoring, breaking the code badly :(
new fe62153 added label propagation class
new 404bc3b Update rsync command
new 804a280 Use isinstance instead of the ancient (Py2.1) types module in fastica
new babe4a5 Merge branch 'variational-infinite-gmm' of https://github.com/GaelVaroquaux/scikit-learn
new ec13d95 Replace logsum by np.logaddexpr in hmm, tweaked some tests.
new c54743f Merge branch 'master' of github.com:scikit-learn/scikit-learn
new eec20ae FIX: add tolerance for lack of numerical precision
new f9cc40a Merge remote-tracking branch 'lemin/sparse-mbkm'
new 8fdd827 remove leading _ in _gen_even_slices and duplicate implementation in sparse_pca
new 3262925 FIX handles NaNs in LogisticRegression, and many more classes
new ec56ca1 Merge pull request #255 from vene/kernel-pca
new 3e15bc6 remove assert_warns from test case (not supported by build bots numpy version).
new 08712d1 assert_all_finite: pre-check if we're dealing with floats.
new 083d58b DOC: Missing dot in Pipeline class description
new 69178ab Merge pull request #260 from glouppe/master
new 664f710 Rework assert_all_finite and related functions in utils
new 58d5b7f callable now actually allowed in fastica
new 03f0f37 disallow sparse input in dense liblinear
new 8398cdb Enforce axis=1 in Normalizer.transform + doc fixes
new 1355100 Merge pull request #218 from fabianp/fix_lars
new 9eddd66 Merge pull request #261 from glouppe/master
new b37929f Add forgotten 'install' for mixture.
new 1ba34d5 BUG: Fix clone for ndarrays and sparse matrices
new aab8745 BUG: Fix clone for nadrrays and sparse matrices
new f43279b Removing unused code
new 7374407 Merge pull request #259 from larsmans/input-validation
new c69a904 switch map and sum commands to numpy
new 1739738 dbscan_.py file reinstated after accidental deletion
new c77bf7b Rename n_states --> n_components in mixture & hmm + cosmetic changes.
new 2bd81d1 remove verbose output from GMMHMM test
new a7fc975 Merge branch 'master' into sc
new 1bd217f DOC: adding note on glmnet parameter correspondance in ElasticNet
new 6103a5f ENH: Avoid np.logaddexp.reduce
new 49bd56b Function to calculate similarity matrix given either a feature matrix or a similarity matrix
new 42c1f65 Merge branch 'dbscan' of https://github.com/robertlayton/scikit-learn into dbscan
new 6d32024 Handle metric="precomputed" in dbscan.
new 5d0ffae Fixed documentation, and the input matrix is now consistently called 'X'.
new 645bfa0 NOW X is used consistently everywhere
new 6f3a9ae pep8'd and pyflakes'd
new d3502b0 ENH : adding LASSO model selection example based on BIC and AIC
new 6cd32e0 BUG: s/empty/zeros in plot_lasso_bic_aic.py
new 6a1e2b3 pep8
new 9c16517 FIX : _to_graph failed if mask's data was not of type bool
new 6980380 Test to check that the grid_to_graph function works with every type of mask (and not only bool)
new d867fd4 DOC: Fixed issue #110 DOC: Added default values FIX: Removed nu in SVR and epsilon in NuSVR
new c7f61bd cosmit: docstring of MiniBatchKKeans
new 3ffe86e remove n_init arg from MiniBatchKMeans signature
new 8010f4d fix: doctest formatting.
new 9855595 fix: remove n_init from mbkm tests.
new 6429f03 DOC: more precisions in univariate_selection
new 3fff3c1 Merge pull request #265 from JeanKossaifi/master
new c128ca5 Merge pull request #266 from glouppe/master
new 52b6ec6 BUG: fix dotests
new c2d8a71 labels_ doc updated
new 3041f29 Chmod 644 feature_extraction/image.py: not a script
new c87d03a Added a paragraph in the documentation. o
new 0b8e809 FIX more useful diagnostics in mlcomp_sparse_document_classification.py
new 37cf782 DOC: Missing import in doctests
new 713a004 Merge pull request #272 from glouppe/master
new ae43df2 Add χ² feature selection
new 486044b Demo chi2 feature selection on document classification
new cee1e1b document Chi2 feature selection
new 51625b9 ENH test and fix chi2 feature selection
new 130b84d Rename f_chi2 to chi2
new eebe575 DOC: stress that only chi2 works with sparse
new 9fe5e60 avoid mutable default arguments
new 92ed8f4 K-means with transform method. Branch updated to include recent sparse k-means implementations (old pull request was basd on an old branch)
new 8460e0d pep8 fix for k_means_.py
new 5bc5c35 Fixed documentation in example
new c56e777 Examples for dbscan in documentation
new 1fae2ea fixed broken doctest in HMM
new 6dfd938 DOC: fixed SparsePCA docstring issue
new 02375b3 COSMIT: remove unused import
new eebc2ec DOC: Improve the Bayesian regression docs
new 98ede0d Typo
new 96bec4a Sorry, other typo
new 47f59c3 s/euclidian/euclidean/g
new 28fe278 More mutable default args
new f801626 fixing up tests, adding "unlabeled_identifier"
new b95d719 Much better example with pyplot, thanks to suggestions by GaelVaroquaux. This example is based heavily on the nearest neighbour example.
new b7c8845 vq now the default in KMeans.transform
new a4b0c29 n_samples used instead of n_points in transform()
new 2e6206d ENH decorator to mark functions and classes as deprecated
new 5ab0f1d New-style deprecation of datasets.load_files
new 29e828d Initial commit
new addaea0 fixed bug in calculating tau
new a2316af Brought in OMP from the larger branch
new f263155 added functions to classes.rst
new 00af49f Remove useless prints in example
new 621aefc fix: call set_params in mbkm fit.
new 9352898 Merge remote branch 'upstream/master'
new cd198c1 American spelling
new d1c264c Example now much more likely to return 3 clusters.
new 8d0e957 added cythonized Floyd-Warshall algorithm
new 5a12763 API : renaming LARS to Lars
new 7fdb81c COSMIT : used implicit continuation inside parenthesis instead of backslashes in BayesianRidge.
new 3000c7c Typo : fix the 0.5 coefficient
new 1e1b7b0 Merge pull request #279 from JeanKossaifi/master
new 6134371 MISC: s/larslasso_results/lars_lasso_results
new 0038a8e pep8
new f3c2c76 deprecated decorator won't work on __init__; skip it
new 243d209 Merge branch 'master' into rename_lars
new b0eeaa2 basic features of multiclass labeling up
new 8ac81f2 speed tweaks in Floyd-Warshall, and renamed graph_search->shortest_path
new 7df22e0 make deprecated work on classes
new 966fe5a Merge branch 'master' of github.com:scikit-learn/scikit-learn into rename_lars
new 9bd078c typo
new 329b54f Merge branch 'master' of github.com:scikit-learn/scikit-learn into rename_lars
new 64c3458 Merge branch 'master' into omp
new b616ae1 consistency with lasso: s/n_atoms/n_features
new 26ec2b2 ENH: adding LARS and LassoLARS deprecated classes
new 2a07ecf speedup in Floyd-Warshall: unsigned ints to prevent negativity checks
new a2cf951 DOC: some fixes
new c04e6e0 failing test for expected behaviour
new 0ca25dc FIX: LARS and LassoLARS did not accept n_features
new bf0ff88 PEP8
new d4c3b04 FIX: doctests
new 2df0620 Merge pull request #278 from agramfort/rename_lars
new 56239ba Added Dijkstra's algorithm with Fibonacci Heaps for significant speed gains in path searches
new 068e415 BUG: `copy=None` in `Scaler.transform` instead of `copy=False`
new ef24235 calculate_similarity changed to calculate_distance, moved to metrics.pairwise.py
new e79dd9b Import of calculate_distance in metrics.__init__.py. dbscan.py updated to use this reference.
new 54cc23e Merge branch 'master' of https://github.com/robertlayton/scikit-learn
new ace0c8c Merge branch 'master' into lars_n_features
new 1805d4f Merge pull request #281 from glouppe/master
new 9247cb5 bug fix: free allocated memory
new a258fb9 changed shortest_path() to accept a sparse distance matrix for more flexibility
new 8b4fe76 cleanups & pep8
new d646ff2 add tests, doc update
new 9a4a684 fixing the way labeling works
new 9f93e7a FIX: support numpy < 1.3
new ad01072 Merge pull request #280 from vene/lars_n_features
new d87ae1a FIX: broken doctest in Lars
new fa7b914 Remove max_features keyword from lars_path.
new 822959f cleared n_features naming confusion
new 47e8016 s/n_nonzero_features/n_nonzero_coefs
new 50b0d82 Factored out sparse samples generator
new 4ce86d6 pep8
new 4c5622b OrthogonalMatchingPursuit estimator
new fe481a5 pep8
new 89a81ff combined manifold examples
new 436f0d3 checking in minor changes
new b53ba4b manifold doc update
new 5e852ea Revert "combined manifold examples"
new f52c9e6 fixed bug in shortest path; consolodated isomap examples
new c695cc7 ex. change
new 8716ae3 Merge branch 'manifold-test' into manifold-doc
new 8980ee3 Use default value for n_nonzero_coefs
new f32ca3b Merge branch 'master' into omp
new 28a52f0 cosmit in example
new 33c2693 unified notation
new 801f1ad made code consistent with docstring
new 8d165fe FIX: coordinate descent stopping rule
new 32d78bd cleaned up tests, added count_nonzero to fixes
new 7435b1d Added OMP bench
new 24348af Refactored decision trees and forests to support CART algorithm.
new 3780503 Refactored decision trees and forests to support CART algorithm.
new 15a8987 Tests updated to work with the new distance based method.
new 4309819 Test using a callable function as the metric
new 480a380 Multiple small changes
new 639d5aa pep8'd
new f7ee93f kmeans example renamed
new 6887195 Remove hardcoded n_jobs from examples.
new a550d6c Digits example has plot.
new 2243f92 Added documentation
new 6a8ce6f make number of classes explicit
new 1893641 Merge remote-tracking branch 'sabba/master'
new 3de1c0a resolved conflicts
new 2d28553 Merge remote-tracking branch 'noel/decisiontree' into treemerge
new 254a172 cleaned up and documented Fibonacci code
new f009988 better cholesky management
new 025e944 pep8
new 91f6faf arrayfuncs solve_triangular and EPIC creeping bugfix
new 729b173 fixed check for None
new 525ed6a set random seed to hide odd random test failures
new f1139ac fix more None checks
new c1bacae more clarity
new bd1068f Merge branch 'origin/master' into dbscan
new 295aa02 Small changes, mostly to wording
new d0580fb Reference to calculate_distances fixed
new 0ee02b1 Returned line I removed for some reason
new 43ec924 Deleted line I returned that I really didn't delete.
new 2fc4c96 Revert "Remove hardcoded n_jobs from examples."
new ec7cba4 Don't use n_jobs=-1 in the examples.
new 51fd7ce Added early stopping as in reference implementation
new 9a25d24 ENH: Add a subset="all" to 20news
new 491c7bb API: load_20newsgroups is depreciated
new 01b2a3f Cosmit
new 5d1b1e9 API+ENH: load data by default in mlcomp and 20news
new e589617 ENH: compression in 20newsgroup caching
new 39cd55e DOC: leftover false info in docstrings
new 796dcbc DOC: load_filenames -> load_files
new 8c7cc15 added documentation, reworking tests
new 0b8b6e0 K-means documentation updated to include information based on this PR Voronoi diagram correlation and Llyod's algorithm referenced. Use of transform method also mentioned. Docs built and checked, and the new test works.
new a913997 Extra example removed
new 44aa564 n_nonzero_coefs defaults to 10% if eps not passed
new f7ab53d began rewriting the tests
new bc20c29 transposed generator, updated tests
new cdf827d Modified learn.cluster.mean_shift_.py so that the mean_shift function uses a KDTree to efficiently calculate distance within some threshold. KDTree implementation is in C and is from scipy.spatial. Tested only using the example located in examples/cluster/plot_mean_shift.py
new ed08592 fixed stupid mistake causing the sample generator to be inconsistent
new 1436e1e added tests; cleanup; pep8
new b5836a4 Added another variant of mean shift clustering (in scikits/learn/cluster/mean_shift_.py that seeds using a binning technique on a grid.
new 5124486 added missing _set_params call in LineadModelCV
new 38583ed Added visualisation and corrected bugs in CART algo
new 9af7010 unified and simplified path params creation in LinearModelCV
new 1e75e9a Merge branch 'enh/ensemble' of https://github.com/satra/scikit-learn
new 977baf2 Merge https://github.com/scikit-learn/scikit-learn
new 0f7ebe2 improved nosetests doctest time
new c70eb9c fixed parameters passing of LinearModelCV.fit, with test
new 567a539 thread safe tests for coordinate descent
new f5b1ef1 PEP8
new 56b1df8 warn when omp stops early
new 0fa2978 no need for min, it would break on the previous line
new 47814ff change matrix order, gram looks ok now
new 96a5f7b Modified learn.cluster.mean_shift_.py in the following ways: Replaced old seeding strategy with bucket strategy which should be scalable. Modified nearest neighbor lookup to make it more scalable by adding a maximum number of neighbors -- in most cases this will not make a difference in the results --- the impact of this change is tunable with the max_per_kernel parameter. It is now possible to force all points to belong to a cluster (default) or only those points t [...]
new 071d14b fixing up tests
new 0c6fba3 DOC: Link the Olivetti docs in the main docs
new b60f889 pyflakes/pep8 on coordinate descent
new 28f4bd4 Merge pull request #289 from sabba/master
new 7c43e7d use np.asfortranarray
new 5949e52 Merged decisiontree and tree_model into tree, random_forests to ensemble
new 872cf16 tests robust to warnings
new 11836e7 do not overwrite global warn filters in test
new 5613a4c DOC: more explicit docs on alpha/rho in elasticnet
new 98cbd4c 20% speed improvement by moving _find_best_split to cython
new 52df7db Modified learn/cluster/mean_shift_.py in the following ways: Added more efficent and proper removal of duplicate clusters. Took seed detection out of mean_shift function and put it in its own function. Default bucket size for seed detection is now the bandwidth.
new 583dfcc ENH optimize euclidean_distances for memory use
new 260c438 use np.argmax instead of x.argmax()
new 74792c8 document and test sparse matrix support in euclidean_distances
new 110ae3c while 1 instead of while True
new 6af2d2a removed occurances of tree_model
new fedc8b9 ENH optimize idf computation in TfidfTransformer using np.binsort
new 7e2b155 use nrm2 from BLAS
new c431799 remove unused imports
new d548181 first stab at implementation via KernelPCA
new 532d760 add arpack support to KernelPCA
new 498ae50 small efficiency boost to KernelCenterer
new d37e1ce ENH: cv objects created by a helper function
new 956640c COSMIT: fix doc indentation to PEP8
new 286dd14 BUG+COSMIT: rewamp the lasso path examples
new f8331ca Made following changes to cluster.mean_shift_.py: Added documentation for new functions. Made following changes to cluster.__init__.py: this module now imports the get_bucket_seeds function from mean_shift_.py
new b0bd263 ENH: more rng instance instead of singleton in tests
new 8a51be6 FIX: potential division by zero when normalizing non-pruned CSR matrices
new 7c7b0e8 ENH and DOC TfidfTransformer
new acfcd31 It's official: omp is faster than lars (w/o Gram)
new 06cba3e FIX add idf smoothing to Vectorizer as well, defaulting to True
new 1798eea Small fixes as per ogrisel's comments. Most notable is that DBSCAN() now has components_ attribute, which stores a copy of the actual core points (not just the indices)
new 7217d30 Merge remote-tracking branch 'remotes/origin/master' into kmeans_transform2
new e4ccc3d Small changes based on mblondel's comments. Nothing overly noticable
new 3670ea3 Replace points with samples everywhere
new ce27885 Use euclidean_distances in kmeans.
new 7921049 random_state used instead of giving index_order as argument
new 4f76bb8 Description for components_ attribute. Renamed core_samples_ attribute to core_samples_indices_ to remove confusion
new 032f76d Complete rewriting of samples_generator.py
new fceb4d4 Split the transform method into a predict and a transform.
new 11fd404 Cosmit: use dense_output=True.
new e23f8d4 Sparse matrix support in kernels.
new 945efb2 API changes, part I
new 0398e0a API changes, part II: Return of the Estimator
new 1d09255 Fixes for broken tests due to the API changes in samples_generator.py (1)
new c5618c4 FIX: precompute_gram=auto
new 9b162a6 DOC: docstrings fixes
new 6a95959 Merge remote-tracking branch 'upstream/master' into samples_generator
new 8226bbd PCA: fix issue #258.
new b711769 pep8
new e2844ce don't use gram in example, useless slowdown
new c018c5f FIX: benchmark was broken
new 7bcb232 PCA: better doc string for 0 < n_components < 1 case.
new 7f2d216 DOC: docstrings
new fb9d5da np.random -> RandomState
new f43d93b K_pred_cols -> K_pred_cols_
new 706d70c Convert to F-order as soon as possible
new ff5ebe8 F-order asap, don't assume any overwriting
new 4063c97 that was unneeded
new 32598a6 ENH: Add a LassoCV using LARS
new d13a025 COSMIT: Nobody expects the PEP8 inquisition
new c08b9ca API: add import paths for LarsCV and LassoLarsCV
new a3c4b8b MISC: Follow changes to alpha scaling
new 1eb98c1 ENH: Add normalization of X to LarsCV
new 0be715c BUG: Propagate fix 086b58f5 to LassoLarsCV
new e098a60 DOC: LARS docstring
new 3b3c543 BUG: Avoid div by 0 in lars_path_residues
new 871491d ENH: Expose eps in LARS
new df31ae0 DOC: Tweak the bayesian ridge docs
new 8edb574 DOC+TEST: LarsCV
new 8584f98 TEST: Improve test coverage of LarsCV
new 6304b43 DOC: document eps in least_angle better
new 6c6e2f9 pep8
new d914cac MISC: LarsCV: preallocate mse_path
new 124c1cc ENH: use _check_cv in LassoLarsCV
new 66736a8 DOC; fix documentation
new c8b83e7 MISC: mse_path in LassoLarsCV is now the mean
new 6260613 DOC: add example comparing LassoCV and LassoLarsCV
new a155134 DOC: typos
new d4eadd7 clearer benchmark
new c496a6e API: _check_cv -> check_cv
new 5bca101 ENH : prettify OMP/LARS benchmark
new 8761428 Merge remote branch 'jakevdp/kernelpca-arpack'
new 3f8e098 TEST: Robustify LLE tests
new 379d9da PEP8 in LLE tests + better assertion failure messages
new 77001ee display the eigen solver name in case of LLE reconstruction test failure
new 38a7183 Partial support for sparse matrices in kernel PCA.
new e315d73 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 9c5a1bf Remove unnecessary import.
new 67e15b8 Merge pull request #11 from agramfort/omp
new 1a9c78c Merge remote-tracking branch 'upstream/master' into samples_generator
new fd44110 DOC: referenced OrthogonalMatchingPursuit in doc
new f514208 Merge branch 'omp' of github.com:vene/scikit-learn into omp
new 53a9134 Fixes for broken tests due to the API changes in samples_generator.py (2)
new 3fd8292 Fixes for broken benchmarks due to API changes in samples_generator.py
new c595707 Fixes for broken examples due to changes in samples_generator.py
new 2cd0ccf updated samples generator according to @glouppe's refactoring
new d8abe5a `seed` renamed to `random_state` and default value set to None.
new 50e448d Merge branch 'master' into manifold-isomap
new b03c9f7 manifold/shortest_path -> utils/graph_shortest_path
new f0ff849 Implement Isomap + transform in terms of KernelPCA
new b1f1dcd added a lot more to label propagation, explained algorithms and differences between the two models
new dc7bac9 Merge https://github.com/scikit-learn/scikit-learn
new c856519 Added the Boston House Prices dataset
new c968558 Fixed imports and run unit test
new 067fccb More specific exception in GaussianProcess + regression test
new ce167bc typo s/dictionnary/dictionary
new 4b88fb9 PEP8
new 66b95d9 Merge pull request #6 from vene/boston
new 27b3c32 add description to isomap transform
new 1f8e603 Corrected import of the data: all 506 columns are now usable
new 8085437 merge
new 8b4c9bb scikits.learn.cluster.mean_shift_.py modified in the following way: improved documentation
new 24b35fd Changed plot_mean_shift.py example to use larger data set to show how bandwidth estimation dominates the runtime.
new ea5a422 more documentation
new e664434 added beginning of examples
new 5f75ef7 Changed scikits.learn.cluster.mean_shift.py: Updated reference for mean_shift algorithm
new 1cb2156 Changed scikits.learn.cluster.mean_shift.py: Added Conrad Lee as author.
new a1d8259 Merge branch 'master' into omp
new c0acd5b Merge branch 'boston' of https://github.com/bdholt1/scikit-learn
new 993f52e Changed scikits.learn.cluster.mean_shift: modified so that complies with pep8.
new 8310b08 Changed scikits.learn.cluster.__init__.py and examples/cluster/plot_mean_shift.py: modified so that complies with pep8.
new d47493b Changed scikits.learn.cluster.mean_shift_.py: Now uses BallTree because of built in query_radius function, allowing us to get rid of the get_points_within_range function. Changed MeanShift to not use bucket seeding by default.
new 303a6d4 Hard coded bandwidth to 1.30 because otherwise its calculation is too slow.
new 62495d5 Changed scikits.learn.cluster.mean_shift_.py: now uses blas nrm2 to compute norm.
new f51b652 Merge branch 'dbscan' of git://github.com/robertlayton/scikit-learn into dbscan
new d244c483 calculate_distances -> pairwise_distances + goodies.
new 02f12b2 Improve DBSCAN doc.
new 7ccf836 Fix DBSCAN example.
new ba62ae7 Remove automatically generated auto examples.
new f025353 Modified file scikits.learn.cluster.mean_shift_ Replaced a list comprehension and a for loop with numpy operations to improve efficiency.
new dfe7791 Modified file scikits.learn.cluster.mean_shift_: removed print lines used for debugging, made code compliant with pep8
new 4b433a9 Modified file scikits.examples.plot_mean_shift.py: updated reference.
new fcf29c2 Test pickability in DBSCAN.
new 45ff4b1 Test precomputed similarity in pairwise_distances.
new 17ea86e Mean shift: now uses norm function from utils.extmath
new 61e6076 Merge pull request #277 from vene/omp
new be6c9cf FIX: broken samples generator test
new 88d2463 Added references to functions in the `datasets` module.
new 36c1857 Merge remote-tracking branch 'upstream/master' into samples_generator
new fdfa4c2 Fixed a broken test.
new dfc57c2 (Micro)optimization in DBSCAN
new da684a2 fix DBSCAN bug (oops)
new 68088f7 Added tests for the samples generator module.
new ae9bc2a Added references to samples_generator.make_* functions in the documentation.
new 8321991 ENH: make the file loader keep the filenames information
new b48fd86 Merge branch 'samples_generator' of git://github.com/glouppe/scikit-learn into samples_generator
new 9636722 update doctest in tutorial to match current API
new 51aa20c Doc for sample generator cosmits.
new 9f45c23 ENH: speed up estimate_bandwidth with BallTree + use make_blobs in test_mean_shift.py
new dafcb87 ENH : using make_blobs in cluster examples
new 92cc1f0 pep8
new 4ef30ea FIX: cruel bug in OMP, no more unneeded warnings now.
new 49e6f5e added "structure" example
new bcf48f9 tweaked structure plot
new 35b04a0 added Isomap.reconstruction_error()
new 4705624 store BallTree in Isomap for faster transform()
new d814dbf finalized SVM comparison example
new 840ef6e all tests pass
new d2cbaaa Merge branch 'master' into sc
new 0936c55 Updated documentation for boston house prices dataset
new 755fac5 Added Olivier's patch extractor with enhancements
new 96dbc10 Tests for various cases
new 0c19c07 FIX: removed the required parameter K
new a428713 PEP8, renaming, removed image size from params
new ff88bb6 FIX : using product form utils.fixes for python 2.5
new 329d1a0 pep8
new 2fd16ad MISC : fix docstring, cosmit in image.py
new 7e5f107 s/seed/random_state in patch extractor
new b197771 DOC: fixed patch extraction comments
new a1fa061 ENH: PatchExtractor transform
new 77c72a1 extra blank line
new e133798 cosmit on docstring first line
new 93d1bbd FIX: broken Gram handling in OMP estimator + minor style improvements
new 485db45 Merge pull request #295 from bdholt1/boston
new 9f63c7b pep8 in test file
new f7e0508 image.py authors
new eae8df6 speed up tests
new b7d63eb improved warning for invalid max_patches
new eda7293 New file: Feature extraction documentation
new 7e9e023 FIX: dataset description
new 7658bcf fix conflicts with master
new cde824a Merge branch 'manifold-isomap' into manifold-doc
new 6c9f93b Further optimisation of _find_best_split
new 3be25ae Further optimisation of _find_best_split
new f8b8aad cosmit: docstring + raise ValueError if kmeans input is sparse.
new 2b0e9c9 added document clustering example to KMeans clustering section.
new 115983d Refactoring: speedup of decision tree code
new b1abfdc removed some stuff from documentation
new 2c63ba0 updated pydoc to make behaviour clearer
new 8c8f3e9 Added feature extraction as a chapter
new b8154ee fix copy paste error in docstring
new a9eef34 passed PEP8, using already implemented kernel functions
new 9abb9fa update manifold documentation
new d52985e making everything more numpy compatible
new f0cdac0 Merge branch 'master' into jakevdp-manifold-isomap
new 919cc38 FIX: broken dataset generator import + minor styling issues
new 1412fe5 fix comment
new bb5fe7e Added normalize parameter to LinearModel
new 4baeb83 Small improvements in the documentation of the toy datasets.
new aeee2bb DOC: improved docstrings
new 3b90f83 dictionnary -> dictionary
new abc35e2 Merge remote-tracking branch 'upstream/master'
new bc91b77 Further performance improvements. Now approx 30 - 50% faster than MILK.
new 539ba23 Merge pull request #303 from glouppe/master
new a6ee968 Added parameter normalize to LinearRegression
new c1222ac Updated documentation, fixed bug in the process
new 1e8e061 FIX: avoid the dependency on pylab in the doctests
new feb7786 DOC: clarified docstrings even more
new da19205 Merge branch 'boston'
new 4c43f8e LassoLARS now uses the normalize parameter
new ebe226d Updated benchmarking for trees
new a525cc5 PEP8
new 416a675 DOC: added documentation for graphviz method
new 361cfef FIX: corrected computation error and typed incoming arrays
new 52a0158 Completed the integration of the parameter normalize
new f1a7454 Implementation of the parameter normalize in bayes.py
new 1548568 fix the random state of the files dataset loader for reproducible results
new a3f7cc4 added parameter normalize to coordinate_descent
new a23365c added parameter normalize to ridge.py
new 61bdb4b DOC : fix doc building
new d8822e5 Upgrade the setup documentation to match the current master
new d071096 updated README.md
new 60a4bf3 fixed left-over of the previous version
new 4121347 FIX: corrected graphviz visualisation.
new c5ce75a Merge remote-tracking branch 'vene/patch-extraction' into vene-patch-extraction
new f506184 fix broken doctests
new 4935588 Merge commit 'upstream/master' into manifold-doc
new d057963 more details for poor windowsians
new 5d1429e Merge branch 'master' into sc
new c60d88f Improvements of the RFE module.
new 5852e72 Merge remote-tracking branch 'upstream/master'
new 4e1406a Accidentally removed a line in a test
new 0170946 Documentation + PEP8
new b4d6af0 More robust test on `step`.
new b281aa2 Fixed a syntax error
new d0ee04c Small code simplification.
new d4b9698 upgrade to simpler new load_file API
new ad81cb8 s/class_names/target_names/g
new f6f7300 upgraded exercise 2 to the new API
new 0331e98 updated faces recognition example to the latest API
new dc27354 upgrade inline doctests to new load_files API
new d2006f4 reorder exercises
new aa77f82 graph construction and example more numpy-like
new e53ecc7 fixed other diagonal matrix construction
new 877068c rename misnamed "plot" example
new 12fc1dc example conforms to pep8
new 6d4231c other example conforms to pep8
new ac54d65 made test conform to pep8
new 88dee75 predict() method now numpy friendly (100% numpy friendly now)
new fef95fc more numpy integration
new b3c8edb batch k-means: calculate labels and intertia in chunks to prevent memory errors
new 295dc3c Added parameter normalize to omp.py Some changes in Linear_Model
new 21ab4cb BUG: Fix a bug introduced in rebasing
new 971d89c new-style deprecation of load_20newsgroups
new 126e09f pep8 in doc
new cf4659d Merge pull request #305 from vincentschut/mini-batch-kmeans-batch-labeling
new 0b4272f fix: if n_samples < chunksize n_batches was 0 and no iterations are performed.
new 4f93af4 cosmit: rm debug output
new 6c479c0 BUG: normalize before center in lars_path_residue
new 06013d5 add smoke test for MiniBatchKMeans
new e274935 Added parameter normalize Added parameter overwrite_X
new 9270eae Merge remote branch 'upstream/master'
new 899dfcd ENH : new LassoLarsIC estimator
new f4ddd47 MISC : adding GaelVaroquaux to the authors of least_angle.py
new e4f4b90 ENH: addressing @ogrisel's comments on PR 298
new f599fab ENH + DOC: addressing @GaelVaroquaux's comments
new dd9bd4c Fixed some errors (mainly docstrings)
new 1f2ad60 Merge remote branch 'upstream/master' into normalize_data
new 3a56be4 changes to manifold doc
new 22da701 DOC: cosmetic changes to lars-bic doc and examples
new 5fb850b DOC: make lasso docs easier to read
new 43e3229 DOC: clarify doc on BIC/AIC
new eb6b74b Merge remote-tracking branch 'upstream/master'
new 33190dc Improved test coverage of rfe.py to 100%
new 3493ac5 removed everything except the plain and simple decision tree to make reviewing easier
new 2f9f318 Fixes of minor bugs + improved test coverage (now 100%)
new e0852d1 DOC: Updated the documentation to reflect decision trees.
new d7f48eb Corrected newlines, and ensured only tree related changes are in this set
new 64f785f Addressed Gael's comments.
new 4a76f3b Addresses Gael's comments. (2)
new 182c365 Addresses Gael's comments. (3)
new 91226a9 Typo.
new f49eec5 FIX: replaced ad-hoc RNG with suggested scikits.learn implementation. Tidied up dependent examples.
new 8ec8583 rename coding_method, transform_method to fit/transform_algorithm
new b8c330d fix broken test
new 31bf0b3 Merge branch 'kmeans_transform2' of https://github.com/robertlayton/scikit-learn into kmeans_transform2
new 39552b4 Add tests and fix bug.
new 20d7c3e Improved test coverage of samples_generator and feature_extraction modules.
new 345eeaa Fixed a small introduced due to a previous commit.
new d7d36b3 Kmeans transform and predict doc improvements.
new 5b6b343 Merge with master
new 0690a0a Merge https://github.com/scikit-learn/scikit-learn into enh/tree
new 791b1b2 Merge pull request #296 from bdholt1/fix/feature_extraction
new 9a88893 Merge remote-tracking branch 'upstream/master' into test-coverage
new 882fa66 removed function kernel, switched to string for picklability
new 803e8db fixed a bug in the circle example
new 8353bc1 moved label propagation examples to lower subfolder
new 97b537c more numpy friendliness
new 207d25a speed improvements on LLE variants for high dimensional data
new ba5bf00 manifold example updates
new 3d0da94 typo in HLLE
new d7ed1cb examples: make out_dim explicit
new af9eef3 COSMIT: remove unused import
new 24fde7b BUG: make lobpcg work with non-sparse matrices
new 6b98994 COSMIT: tweak plot_compare_methods example layout
new d4d6dfa remove lobpcg from LocallyLinearEmbedding
new 1d5e5d5 COSMIT: print time in plot_lle_digits example
new 23163f8 MISC: fix image in manifold doc
new 44cb7e6 changed digits to faces decomposition example
new f37252d added dict_learning_online function
new 12386a3 MiniBatchSparsePCA is born
new d782152 Removed dict_init in MiniBatchSparsePCA, docstrings
new 02d7eb4 code reuse by inheritance, more tests
new b79dbb0 Fast-running face decomposition example
new 91eb864 DOC: updated narrative docs for MiniBatchSparsePCA and example
new 1103a79 DOC: fixes and updates
new bb11d45 DOC: minor errors
new 207a8fa FIX: broken test
new c1c9142 Added MiniBatchSparsePCA and dict_learning_online to classes.rst
new 10fabcd DOC: fixed issue in MiniBatchSparsePCA docstring
new a6b21f9 ENH: remove references to digits + format
new 26f7f1d plot the original centered sample + make sparse pca a little less sparse + kmean a little less like init
new 1eaff73 DOC: make the decomposition doc more consistent with running faces example
new 05b3664 cosmit
new bfc41a5 ENH: use introspection to find the cluster components
new 3ee301f DOC: group SparsePCA and MiniBatchSparsePCA chapter to reduce redundancy
new e85c809 cosmit
new da7cbc6 ENH: minor style fixes in docstrings and comments
new a10b3ba cosmit
new ff1bc4c cosmit
new f999c24 FIX: removed recently introduced mistake from dict_learning_online docstring
new fe92da9 ENH: cleaner random number handling in tests
new 7eb38a7 Removed default value of n_components=None in SparsePCA
new c7fd201 Fixed inappropriate checks for None
new 3cca8c1 Switched dict_learning_online returns order for consistency
new ea8dd4a ridge_alpha as instance parameter
new 06bdd21 prettify face decomposition example (ft. GaelVaroquaux)
new 82b423c MISC: prettify the faces example
new 872971e add refs to example
new 65a2d4a COSMIT: doc and examples in decomposition
new 24c0109 more numpy use,
new 994241a Improved documentation + predict/score.
new ab282ec Cosmit
new 756835f Typo
new e65eee4 Typo (2)
new e7412c6 fine tuned some documentation
new 3d39a32 Add TransformerMixin (back?) to preprocessing classes.
new 547e65b Fix plot_kmeans_digits.py.
new fa2e505 Carve the emmerging consensus on __init__ vs fit parameters in the contributors documentation
new a9eb804 cosmit
new ebf45f8 DOC: give some motivation for the return of self in fit
new c688e97 DOC: formatting mistake
new 147e78d DOC: more fitting doc improvements
new 6fae2ef typo
new 48d1fa3 DOC: more formatting
new 6c49694 yet another typo
new d68ebfd Merge branch 'master' into sc
new ef7fb1c duplicated import
new 01e3b5a FIX: denoise example was broken
new 721892ed8 FIX: reconstruction test
new fd176ae Added a function as_float_array in scikits.learn.utils
new 0dd22e5 Fix : deleted a forgotten line
new 4573adc make tests share data
new 8899160 clarify docstrings
new 808a37a added init test
new a50462e partial_fit passes the test
new 05a2672 Merge remote-tracking branch 'upstream/master'
new bb9f32a Merge https://github.com/scikit-learn/scikit-learn
new 95b17a4 Removed unused import
new ff14545 PROF: improved speedup thanks to ppret
new a2f5c44 Merge branch 'enh/tree'
new 8065590 Merge pull request #311 from glouppe/test-coverage
new c72dd9f merge with master; remove lobpcg references
new 0c03b91 added a snazzy label propagation versus SVM decision boundary plot
new c3ab858 Merge branch 'master' into kmeans_transform2
new 1505c71 added more explanation to the plot
new 208a70e added semi_supervised directory
new 6a99439 removed old, useless code
new 9d1da53 removed unused imports
new 7a0382c added more documentation, another doctest for LabelSpreading
new 8e06576 minor tweaks to the overall layout of the code
new 5071a05 reverted plot_iris accidental commit
new 0c2196a added unlabeled_identifier explanation to docstrings
new 9232f88 Merge remote-tracking branch 'mblondel/kmeans_transform2' into kmeans_transform2
new 4628d2c Merge pull request #302 from jakevdp/manifold-doc
new 3251031 Merge remote branch 'upstream/master' into pairwise_distance
new 041651e Initial changes to improve this module. pairwise_distance now uses a dict for functions.
new 17b0a13 Working through some of the errors in testing
new 7d1a737 Fixing twenty_newsgroups
new ccc181b Fixed a few import errors
new 0358e83 Initialise random state for examples
new d354e02 DOC: Added +ELLIPSIS for examples
new 7d0042f ENH: Support binary (-1,1) classification as well as [0,...,K) multiclass classification
new 1fcb4f8 Merge remote-tracking branch 'upstream/master'
new 42a6ebb DOC: section level fix in clustering doc
new 2cd1c83 fixed indentation problem in documentation rst
new 2a7af09 conformance to pep8
new 84090fc fixed bug in tests causing gram matrix construction to not work properly (assumed casts to floats)
new 1c123c6 FIX : corrected a bug in as_float_array and added a test function
new 468c553 PEP8 : replaced tabulations by spaces
new ef55380 FIX : if X is already of the good type, we musn't modify it Added a verification in the test
new a3dc4e7 added two new examples, including an active learning demo with label propagation
new 95e1be7 Mean shift: removed obsolete reference to KD-Tree with reference to BallTree
new d3dfd65 Removed obsolete import of izip, made description of complexity more concise and accurate
new 18dea8a heavily downsampled digits examples (runtime a few seconds now) and removed supporess_warrnging bug
new 2412daf changed doc to remove long runningtime warning
new f902930 Mean shift: settled on term 'bin' and removed unnecessary references to 'bucketing' or 'discretization' from variable names and documentation
new 3068868 Mean shift: Fixed a minor type
new de45027 Mean shift: Moved a test file in preparation for merge with agramfort's branch
new b782f7e Merged agramfort's branch with my own
new 50bb138 Mean shift: removed my old test script due to merge with agramfort, changed num points in plot example to ten thousand to speed it up.
new e77ce26 Typo.
new a0e0e3a In spectral clustering example, forced the solver to be arpack (the amg solver is unstable for this example, and results are not satisfying)
new 67a0d1a Merge pull request #314 from emmanuelle/spectral
new 022b5d8 added least-angle regression to dictionary learning transform
new 097c3d2 ENH: More interesting benchmarks for OMP
new 23e4eaf plugged in lars instead of lasso_lars in denoising example
new 16ac67c Example images
new 83b6af2 Brought my branch for mean shift modification up to date with current head on github
new 85242e4 Mean shift: modified get_bin_seeds so that it no longer has to copy all points
new 1bc54d4 VQ example. Not working yet - clusters aren't well formed I think. Will work on it more tomorrow.
new fd3d95f FIX : if X.dtype is changed, then a copy of X is returned, even if overwrite_X is True
new 6c6289f API: eps -> tol in bayes
new ccc6ebd Merge branch 'master' into sc
new 6c7711c redesign the denoising example
new d402deb FIX: BayesianRidge doctest
new aad2572 tweaked the example a little more
new 67d3846 removed thresholding from denoising example
new d692514 completely removed thresholding from denoising example
new bcc63de initial commit
new 414a753 added compiled cython
new dfe292b assure C-ordered on init
new 2f22989 Prettify example
new 5011d3e fix NeighborsClassifier doctest
new 418a32a More work on example
new 1074f6b tweaking example
new a31e639 rennamed active learning example so it won't be run for doc compilation
new 38de418 changed subplot titles so the plot is more clear
new 73fc08a Merge git://github.com/scikit-learn/scikit-learn into enh/tree
new d0e4757 Removed unnecessary import
new 1bd370e Fixed doctest example
new 63a9a4c Updated documentation for class interface
new 21904ed Minor patches to docs
new 8811af0 Dataset loader moved to datasets.base, but not being installed
new 1bc5e57 Fixed loader problems
new e4fd194 make memory allocation more efficient
new 1ea3c95 documentation clarifications
new 8af062f DOC: clarified and enhanced dictionary learning narratives
new ecee39a FIX: Corrected NuSVR impl type and set epsilon to None
new 4b8e1c5 added dictionary learning to classes.rst
new 9e0b551 Refactor tests for SVR.
new 34c3fcc corrected reference to omp
new ba3e2dc Correct NuSVR impl in the sparse case.
new 9c9e037 Add tests for last commit.
new a6912a7 DOC: fixed link to decomposition example
new 7a8df01 Merge remote-tracking branch 'robertlayton/kmeans_transform2' into robertlayton-kmeans_transform2
new 1028212 DOC: fix See also
new 84312d5 DOC: fix See also in both places
new e73dce9 Test : lasso_lars_vs_lasso_*
new c13bc21 DOC: cleaner see also section
new ee5bfb0 DOC: improved dict learning narratives some more
new 8674b01 ENH set_params method on BaseEstimator, deprecate estimator params to fit
new 34aee33 set_params: update according to @GaelVaroquaux's review
new 392cbe4 Rm k param from KMeans.fit again
new 5a9f68a Data centering in denoising example
new 04f354f Prettify structure example
new 1216546 DOC: minor style changes
new ce9814b Remove fit params from all objects.
new 5dcc25a Merge branch 'normalize_data'
new fb906b4 DOC: tweaks
new 1aec073 Removed print in digits classification example
new c78908a checkpoint style improvements for the KMeans predict
new bfd7cd6 track changes from upstream/master
new 45f218c DOC: fixed links and made examples build
new f0caafe Merge branch 'clayw-label_prop' of github.com:vene/scikit-learn into clayw-label_prop
new 67d185e DOC: clarified example titles
new 9ff1929 time the main operations
new d939914 add warning utils and use it in KMeans when data matrix is integers, boolean, complex...
new d1f38c1 fixed structure example
new 2faa109 FIX : Ellipsis in least_angle.py doctests
new 8a32927 Removed fit_params from dictionary learning objects
new c90b2d9 added vene's subplot adjustments
new e2cf62a Merge branch 'new_lp'
new fa339f6 made convergence check function private
new 47458be checkpointing work in progress on VQ example
new 1383385 plot the dictionary in denoising example, other one will disappear
new bac02e4 Optimisation: moved _find_best_split to cython.
new 7b8074f DOC: change classification to regression
new 32bbe8b completely removed the duplicated example
new c59fcaf Prettify the example
new 377899a Merge github.com:scikit-learn/scikit-learn into enh/tree
new 68fecf7 DOC: corrected doctest
new 864c48c Merge branch 'master' of github.com:scikit-learn/scikit-learn into normalize_data
new 6575434 Style + typos
new f2b0c61 API : adding proper normalize options in Lasso and ElasticNet with clean up ENH : fix doctests
new 0e540d9 ENH : more standard import of scipy.sparse
new 1726411 Rehauled example to show the difference
new 02b8860 Renamed the example, bounded the difference range
new cb593a7 Lower the range of the difference in example for better contrast
new a651e8b Implement one-vs-the-rest multiclass strategy.
new dfb0646 Merge pull request #317 from agramfort/normalize_data
new 51c35bb Added norm to titles
new 35d9843 Fix bug in one-vs-rest when underlying estimator uses predict_proba.
new 022c8dd More explicit docstring in the example
new be023a8 Removed verbosity (example now 4s faster!), prettier output
new 4437d22 fix output bug
new 133f7ec ENH: add missing inverse_transform method for Scaler
new cb7f94a Merge branch 'master' into robertlayton-kmeans_transform2
new f50a2b1 PEP8 and style
new ea36a26 FIX : ELLIPSIS in least_angle.py doctests
new 652db0f Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new c922476 Merge pull request #318 from JeanKossaifi/master
new 3a1d5e2 fix the VQ example by switching to floats in range 0 - 1
new 974c688 Merge branch 'master' into robertlayton-kmeans_transform2
new 2a548ed cosmit
new 15872a6 use the scipy public API rather than PIL
new 65b50b7 Merge branch 'master' into sc
new 1900ca4 Implement one-vs-one multiclass strategy.
new c21d8d0 update the documentation
new 95ca5bb ENH: 'make test' now runs the doc doctests as well
new 12e1c51 Merge pull request #316 from jakevdp/cython-ball-tree
new 5ec50e7 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 32b8b7c style
new e9ae6f1 Merge pull request #2 from ogrisel/robertlayton-kmeans_transform2
new c1227f0 Sorting parameters in BaseEstimtor.__repr__
new 913c883 Implement error-correcting output-code multiclass strategy.
new c5962d2 Test grid searchability.
new 1c1583d Merge pull request #273 from robertlayton/kmeans_transform2
new 929c9ff FIX : docstest fail
new fffe829 X -> XA, Y -> XB. pairwise_distance back to metrics pep8'd
new 9dcbc92 check_set_Y -> check_arrays
new c91a08a Docstrings!
new 6133a23 Add new meta module to setup.py
new e28c667 Merge branch 'master' into multiclass
new c0bc07b Check estimator and fix syntax error.
new 4d64530 Merge branch 'master' into sc
new 4972454 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new c51cb3d Merge remote-tracking branch 'JeanKossaifi/master'
new 3bdaa9e don't allocate a new pm for each call: 3 times faster
new 267ba4b Use fit_params in Pipeline
new 67b2ff8 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 9a5c0b9 Moved dict_learning stuff out of sparse_pca.py
new c6300d8 Merge remote-tracking branch 'JeanKossaifi/sorted_repr' into JeanKossaifi-sorted_repr
new 3aa87a6 FIX NMF doctests
new 32dd218 Compatibility fixes for Python 2.6 and doctest fixes
new 7f357af ENH: shorter doctest output
new f1110e0 rename eps to tol in omp code
new d53352f ENH: pipeline doctest style improvements
new 79a4a60 FIX: updating doctests in gaussian_process.rst and linear_model.rst
new c57950b FIX: remaining broken doctests
new 5da456d Docstrings about labels + cosmit in the metrics module.
new 5fc92a7 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new be25990 Documentation for the meta learners.
new a6317ee pep8-proof.
new 20f5eaf Fill missing docstrings.
new 3b9d7b5 FIX: py3k compatibility.
new 8deeaf4 Allow one-class only in LabelBinarizer.
new 9efe5d5 Exposed sparse_encoding, docs not updated
new 7641255 Add a void cython module affording to check that `make` has been run.
new 35fe5d7 Rewrite svmlight loader in pure Python for now.
new 91bf73a Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 5eb0867 Consistent defaults
new 00150d1 FIX : fix rounding error in test + pep8
new be3edab Updated the first part of the docs
new 5e8d845 FIX: py3k compat.
new 01139b6 Updated the docs
new b6d0d2e removed fit_transform for dict learning
new baa758d Updated the narrative doc
new f8e578d FIX: doctests on buildbot
new eaa9253 cosmit
new 3b5b659 Tweaking the example
new d04a76a Mean shift: Fixed a bug that occurs when the cluster_all argument is False
new 378ad22 Merge remote-tracking branch 'upstream/master'
new b0ed0f3 Mean shift: fixed bug introduced during upstream merge
new 2e17b36 Improved the example clarity
new c3825e5 ball_tree protocol 2, but paths are broken
new e33f336 FIX : putting back common.py
new 60b2299 FIX : in meanshift typos, style, example
new 85c80b0 Moved to @pprett's faster splitting code (debugged)
new 82b731a Added more debugging info to graphviz
new 5d35f90 Moved to the version without a sample mask, since correctly implemented it is almost as fast
new 8ee20e3 Merge branch 'master' into multiclass
new 3d6ee4c fixed spelling error with variable name (indicies -> indices)
new 8a656a2 Merge branch 'master' into sc
new 947735a removed unused imports
new 6bc7394 fixed all pyflakes warnings
new a019ad7 Fix mistake and docstring cosmits in SVC.
new 74dd2d8 ENH: new example: NMF topic extraction on 20 newsgroups
new f393795 FIX: useless arg to argsort in NMF example
new 6633648 Moved multiclass module to top-level module.
new e4ac243 Fix doc!
new e11684b Fix setup!
new a727900 Address @agramfort and @ogrisel's comments.
new 4ccf0ad Merge branch 'master' into multiclass
new a8ea27a More informative name for color quantization example.
new 9c74fb2 More explanations and pep8.
new 4a826cb Use 256 colors and add title.
new 31aecce Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 39ff980 Emphasize one-vs-all.
new afc847a Better documentation.
new 1032295 Fix doctest errors (hopefully!).
new f38f022 Document fit_ecoc.
new a11bf8f Typo.
new 3bf31ca Fix currentmodule.
new f09673f Fix bad copy-paste.
new bc9f375 DOC: change the name scikits.learn to scikit-learn
new cd88137 Merge pull request #320 from mblondel/multiclass
new 975027d 64 colors + random codebook comparison.
new 9039d1c Better title + authors.
new 5c55a50 Merge remote-tracking branch 'glouppe/master' into glouppe-master
new 1493cce Merge remote-tracking branch 'upstream/master'
new db0aeb7 PEP8
new e2c4946 Fixed error of splitting between identical feature vals
new ca9f0ed DOC: updated comments
new 564134e Refactor roc_curve method. The new implementation, even if it looks very naive, reduces the computation time of fpr/tpr vectors. roc_curve computation time depends now only on the length of y_score. For comparison, here are the results between the old and the new implementation for the following vectors:
new d714982 Fixed memory leak in libsvm
new 3e6ab68 Merge pull request #326 from bdholt1/fix/svm
new f627340 Welcome Brian Holt
new ba4a5ce Improved graph visualisation
new 06ffdfa Ran tests and fixed a few bugs. Unit tests added.
new 1a85097 Less verbose name
new cbaf294 Move initial entropy computation outside loop.
new 67f1a39 raise ValueErrors with appropriate messages
new 8720c6e Merge branch 'cython-ball-tree'
new c9fcb82 merged upstream master
new a1b04dc merged upstream master
new 6da31e4 Standardise error messages
new 52f76ad move ball_tree.pyx to scikits/learn/ and write pickle test
new cdc3b17 Welcome to Robert and Gilles.
new 24203c3 Copied ensemble and random forest classifiers to new branch
new ac0224c Check that labels are in range for multiclass classification
new 0970d6b Check that labels are in range for multiclass classification
new 1021baf FIX: broken example
new a6918a4 Generate thumbnails in the example gallery
new a4d5760 Further clarification of error messages
new 65f2d61 Merge branch 'upstream-master' into crossval
new 7f78eaa Link images to example file in new gallery
new f8ef06e FIX some broken examples.
new 0cbe2a1 Rename face_recognition so that the result is plotted.
new bf8af73 Merge pull request #328 from bdholt1/crossval
new ab5db97 Revert "Rename face_recognition so that the result is plotted."
new d70850f Fixed regression bug. Thanks @pprett
new 0084b82 Merge branch 'upstream-master' into enh/tree2
new 096063f merged enh/tree2 into enh/tree
new 3886158 Fixed doctest
new ece7329 Enforce 64bit and 32bit types and correct regression bug (divide by zero).
new 165125f Refactored construct to subsample dimensions.
new 7cbc4b7 added NavigationToolbar to SVM gui
new 23af548 store all tree parameters in the RF base class so that clone() will work
new 7809dfe Cross_val : Removed useless & tricky parameter iid
new 713fbfa Merge commit 'upstream-RW/master' into cython-ball-tree
new d095b2c add BallTree pickle test cases
new 4ffcd2e Merge branch 'cython-ball-tree'
new 66187d8 Merge pull request #331 from JeanKossaifi/master
new 9e1ba8f DOC: Fix doctest
new 015b456 DOC: scikits.learn -> scikit-learn
new 4d1bdf1 DOC: fix link
new 4fd0a3c optimized _build_graph with inplace methods, conform to standards with variable names
new 67a56c2 FIX: linnerud dataset mixed variables.
new b40247b Layout tweaks
new 4f2c7d1 Cosmetic changes in example docstring
new cca1fcf layout tweaks
new 2f82370 Revert to _Fixed Doctest_ and added regression bug fix
new 2cc13a4 update to unit test and doc test
new cfb269e enforce type on storage arrays
new ec93ca1 enforce 64 bit types on parameters
new fd0d3b8 Move project directory from scikits.learn to sklearn
new 3be3de1 Add a compatibility layer for some modules.
new bb6f8b3 further type enforcement
new 41138c6 initialise variables
new ae48fc5 Forgot to add a blank image for the docs.
new 9fe3908 Revert "Add a compatibility layer for some modules."
new 68f27e3 Revert "Move project directory from scikits.learn to sklearn"
new ddf4b72 Move project directory from scikits.learn to sklearn
new 30cba7d Add a compatibility layer for some modules.
new 403ee2b correct imports
new a5538b9 refactor neighbors module
new 3ec3153 Merge pull request #335 from fabianp/rename
new 49c97b7 Test for tuple input. Tests now run in suite (forgot to have test_ at start of func name!)
new 1a514f7 Add more modules for compatibility layer.
new be9d945 More renaming.
new 4d1dcd2 DOC: scikits.learn -> sklearn
new d36c2ac scipy.lena() no longer works on scipy's dev version.
new f1f2baf XA -> X, XB -> Y
new ed9d1ac Merge branch 'master' into pairwise_distance
new 8739c91 Moved metrics file to sklearn
new a0eb599 removed unused import, removed unnecessary backslash
new 5e4d984 Improved names and documentation for Leaf and Node
new 2fa5363 Renamed K to n_classes
new bf6a075 renamed F to max_features
new 38cff84 renamed features to X
new 2b27be5 renamed labels to y
new 03b41d7 renamed n_dims to n_features
new ca9d2b6 explained min_split
new 30fb575 renamed C to predictions
new 9878ac4 improve documentation
new b5d63ba renamed K to n_classes
new 3aa4e6d COSMIT: improved documentation
new fc428b1 pairwise_kernel function (untested, for comment)
new 116da4e renamed pm to label_count
new 3a661de renamed K to n_classes
new a92c172 improved documentation and renamed features and labels
new d771289 renamed var to variance
new 487de2c fixed comments
new e6fa29c PEP8 of metrics.py
new a57c2ae more scikits.learn => sklearn updates
new 2c8f756 import to metrics namespace for pairwise_kernels
new 58af206 DOC: Minor scikits -> scikit
new 42d6c56 BUG: sklearn/setup.py : learn -> sklearn
new e05fefe ENH: new Makefile target to cythonize everything
new 5994df9 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 4eec40e Updated docstrings
new 091d92a batch re-cythonization with version 0.15 and new package names
new 8511b00 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into pairwise_distance
new b484aa4 merged upstream-master into enh/tree
new 2f11683 doc fixes
new 17c4a3c merge with upstream/master
new 769714e Merge remote-tracking branch 'upstream/master'
new c090d43 Fixed examples
new 860c1aa new package name
new 9b5c7cd more renamings
new cb27ffa fix typo in scikits.learn.qda
new cf5a889 update the Makefile test-coverage target to work with the new package layout
new f3173b6 Merge branch 'master' into bdholt1-enh-tree
new f0d88a8 one more optimization! avoids cast to numpy matrix and does in place matrix multiplications
new 4cb9e70 fixed test cases to conform to api changes & new internal parameters
new 9ec87e4 Merge branch 'master' into pairwise_distance
new 56ff27d FIX: fix variable referenced before assignement in libsvm.pyx
new 4c18e46 trailing spaces in pyx file
new f0f0182 More style consistency improvements
new 9da4e66 style: constant in capital letter on top + extract graphviz tree template
new 481e36e cosmit
new 456ef97 More style improvements in _tree.pyx
new 99b1275 ENH: cross_val module docstring and style improvements
new a03f836 Improved test coverage to 100%
new ae8f66d ENH: more randomized cross val docstring & var naming improvements
new a29b1b1 Merge branch 'master' into bdholt1-enh-tree
new 6d69591 Merge pull request #9 from ogrisel/bdholt1-enh-tree
new c30bc73 ENH: doctest simplification by using the cross_val_score func
new 19a4bf9 Added RFE into the narrative documentation
new adc70f9 Doc: grammar
new 515d6e3 Added n_features_ attribute to RFE
new 453968f He who seeks only vanity and no love for humanity shall fade away
new a6ef4e4 style
new e93a760 Moved "feature selection" section back into the "supervised learning" chapter
new 33d4f7e Better exception messages in SVM
new fde6ba1 ENH: make the cross_val_score able to use functions from the metrics module
new 96e9f84 ENH: better docstrings for SVMs
new b84216d Merge branch 'master' into cross-validation-improvements
new 072d243 Merge branch 'enh/tree' of https://github.com/bdholt1/scikit-learn into bdholt1-enh/tree
new 47b82fc DOC: improvements to the cross validation doc layout + missing ref to ShuffleSplit and cross_val_score
new 7137010 Merge remote-tracking branch 'bdholt1/enh/tree' into bdholt1-enh-tree
new e3f6c5e Merge branch 'master' into bdholt1-enh-tree
new b87a75d Merge remote-tracking branch 'glouppe/master' into glouppe-master
new 66be88f Merge branch 'master' into glouppe-master
new 880bdf9 Add missing authorship + license info to NMF topics example
new 1c75500 updated docs!
new 40eb101 Merge branch 'master' into sc
new 00c3d4d Merge git://github.com/scikit-learn/scikit-learn
new 38103a3 Merge branch 'master' into cross-validation-improvements
new 38e88d7 Copied tests, fixed examples imports, enhanced see alsos
new 59f164a ENH: more cross_val doc for LOLO and LPLO
new 21fc893 DOC: add info about smart CV and IC estimators
new 7a32fbe Merge commit 'upstream/master' into neighbors-refactor
new 637d0c7 scikits.learn -> sklearn
new db24cfd add neighbors benchmark
new 2eba5a4 localized a variable
new 3e83638 fixed test suite, changed module to conform to new sklearn naming scheme
new 472cf5b fixed examples for new naming scheme
new 813de49 cosmit
new 6f6b2f4 ENH: s/n_labels/n_unique_labels/g in cross_val
new 732f18a FIX: compat with numpy version lacking the out argument for dot
new a8c77e8 ENH: misc style / docstrings improvements
new a695a67 Merge branch 'master' into pairwise_distance
new 5fab47a Merge pull request #10 from ogrisel/bdholt1-enh-tree
new c018f60 Ensure 0.0 on diagonal elements if X is Y
new 701438e Merge https://github.com/bdholt1/scikit-learn into bdholt1-enh/tree
new c4c92d5 Merge branch 'enh/tree' of https://github.com/bdholt1/scikit-learn into bdholt1-enh/tree
new abefd7b introduce reset method for Criterion and implemented linear version of MSE.
new 41e6602 change implementation to mixin pattern
new 9e85e61 fix: weight left and right variance by num samples in each branch cosmit: rm some comments
new e1a1b3e merged upstream/master
new 59879d4 merged ogrisel's docs & optimization, also fixed active learning example plot
new b8d4d4b renamed scikits.learn to sklearn
new be964cd Push coverage up to 96%, added graphviz test
new 40fa5b0 merging
new 891b81d Merge pull request #11 from pprett/bdholt1-enh/tree
new fa1e781 added example usage of graphviz
new 6be3921 Merge branch 'enh/tree' of github.com:bdholt1/scikit-learn into enh/tree
new 05af797 Doc: Implementation details of euclidean_distances
new d93bef8 Merge pull request #341 from ogrisel/cross-validation-improvements
new 2664d0c Sparse matrix support in the `density` util.
new b93cde8 Documenting a secret feature and fixing bugs in the process.
new 39c24bb Use l1 penalty.
new 6d9ca07 Merge pull request #343 from glouppe/euclidean_distances
new e609775 Tests working, mostly pass
new ca48f82 s/\bcross_val\b/cross_validation/g
new 0f7fb46 backward compat for cross_val namespace
new 93f598e cosmit
new 7b81afd ENH: `np.fill_diagonal` replaced with more portable code. Added an explanatory comment.
new b435059 fixed unit test of graphviz
new 37596d0 added trees (boston and iris datasets)
new 91304a5 pep8
new 1583dbb move neighbors.py -> neighbors
new fbd6237 fix doctests
new 170e995 BUG: Backward compatibility layer sklearn.externals
new 5d08280 API: start 'API changes summary' section in doc/whats_new.rst
new 84a2795 ENH: Add verbosity control to LinearModelCV
new 22ea8b6 API: removal of fit parameters
new 18ecba7 FIX: fix broken tests on ElasticNetCV
new 78dd8b5 batch trailing spaces cleanup
new 2999ccd ENH: docstring cleanup
new 73fd2b9 Mark sklearn.hmm as orphaned
new 0718f72 merge upstream/master
new 7a6bad9 move barycenter_weights to manifold
new 307750b deprecation of NeighborsClassifier and NeighborsRegressor
new 0c47a52 Merged PR263 into this PR Basically, l1 now returns a pairwise distance matrix by default, with an option for componentwise version.
new 63c94aa Fixed merge conflict
new ad79b4d Fixes based on ogrisel's comments
new 499f2f5 l1_distances -> manhattan distance new l1_distances set up, which warns user to use manhattan_distance instead, and sets sum_over_features=True for compatability.
new 04f0b2a pep8'd and pyflakes'd
new 8ac3ac1 scikits-learn -> sklearn
new 272af90 FIX: make the @deprecated class decorator not break the __repr__ of estimators
new 1215c0e Remove l1_distances completely, updated gaussian_process update doc to make clearer
new 97a5241 Actually removed l1_distances this time
new 482203f DOC improve fbeta docstring
new e38cb4d Merge commit 'upstream/master' into neighbors-refactor
new db8e9c2 add deprecation warning to sklearn.ball_tree
new c10c64e Note neighbors module changes in doc/whats_new.rst
new 9f42fd3 added CART to covertype benchmark -> look at that error rate!
new eb51d07 Fix typo in SGDClassifier's docstring (via GitHub).
new 5485569 Merge pull request #346 from npinto/patch-1
new efacf55 DOC : fix sgd docstring
new b592902 test_checks merged into test_pairwise. test_checks is empty for now. Several other small changes made based on comments received.
new 10a551e moved the min_split test to beginning of recursive_split
new 9b16112 group imports by hierarchy
new 286a80d sed s/dimension/feature/g
new 9c9320d time is measured in seconds
new 3fe8d66 print left and right child repr in graphviz
new 9bace88 Merge branch 'enh/tree' of github.com:bdholt1/scikit-learn into enh/tree
new d905b58 fixed graphviz test failure
new 6071a3e added feature_mask to reduce fancy indexing
new ef64142 replaced == with 'not' operator
new a841381 fix typos
new 424e447 gitignore: scikits.learn -> scikit_learn
new 364d1df Merge commit 'upstream-RW/master'
new af7d7dd updated the decision tree docs (not done yet)
new db8fb53 use Fortran array layout
new 22c0d86 ENH : better plot_img_denoising
new 42b06b7 Removed test_checks
new e271afd Fixed doctest and checked tests working - most are;
new c598c15 corrected feature_mask implementation
new f199e5c allow for different architectures
new 7eae6a9 pairwise callable metrics fixed test_pairwise now has a sparse test in test_pairwise_distances test_pairwise tests now pass, thanks to assert_array_almost_equal
new fde272e Now tests if tuples given as input
new ec424eb check_pairwise_arrays now ensures at least two dimensional arrays are returned.
new 64a45a5 pep8'd and pyflakes'd
new a694b67 ENH: implementation Adjusted Rand Index for clustering evaluation
new a170da3 Merge remote branch 'bdholt1/enh/tree' into bdholt1-enh/tree
new eedab38 minor fixes in clustering metrics
new c9f20a2 merged upstream/master moving to sklearn
new ba381d7 merged enh/tree
new 829ff69 visitor pattern for export graphviz
new 0bae054 move neighbors examples to examples/neighbors/
new f084227 cosmit
new 416bc6a removing the undocument implementation of the unadjusted Rand index in kmeans_
new 11bb4c8 cosmit
new d9abd06 missing import in the metrics namespace
new 36f123c DOC: narrative documentation for the ARI
new b5b9f8e metrics listed in pairwise_distances and pairwise_kernels
new e7774b9 BUG: scikits.learn -> sklearn: backward compatibility
new 693bc15 COSMIT: PEP08
new 6a3103f kwds ws being passed to squareform, instead of pdist. this has been fixed, with a test added
new b1b8c34 DOC: typos
new 75f2617 FIX: fix broken document clustering example and add ARI to examples
new 0e29205 add doctest for combinations (to document the n < k case)
new 9997b81 Merge branch 'master' into sc
new eeb8585 Merge branch 'sc' of git://github.com/agramfort/scikit-learn into sc
new e3a83de pairwise helper functions to give verbose knowledge of which metrics are which functions
new b60f7d8 Fix commenting in pairwise_distance
new 1e3824b check for sparse matrices for scipy metrics, and throw error. test included
new 6844139 more tests for ARI and clustering metrics
new 8572adc test non consecutive integers in perfect match
new 20421fb FIX: use scipy's fast implementation of comb + fix tests + limit cases + faster adjustment test
new e0c3747 cosmit
new 2fc866f OPTIM: use exact comb evaluation since it's faster for the ARI case
new 5cd048c Added link to personal web page
new bc02942 Nearest Neighbors examples & documentation
new 60a6d97 cosmit
new fbf839a switch to dynamically generated docstrings
new 0d3e198 commit dynamic doc changes
new 863f38f cosmit
new ddbf08c DOC: add example to illustrate the concept of adjustment for chance
new f8dafb6 more details about ARI value range
new 6c97f38 add weighting to classification and regression
new e985958 add neighbors/tools to commit
new b990db5 add tests for weighted regression and classification
new 4401ea4 documentation of weighted classification and regression
new 3675291 add graphical neighbors benchmark
new dfbc00d pep8 + move weighted_mode to utils
new 0624590 Unused import
new 25db7c8 BUG: backward compat: scikits.learn -> sklearn
new 5a9820f add tests & example for weighted_mode
new 43feed9 Brief description of kernels and distance metrics in doc
new c00b05a Added a list o
new 53be9c9 benchmark -> bar plot
new 3305bc3 make constants uppercase
new 5da44bd make example script filename more explicit
new ed434c3 typo
new f96f456 Merge branch 'master' into cluster-metrics-2
new 2292946 Little more description
new a6c5c18 Merge pull request #12 from pprett/bdholt1-enh/tree
new bccae58 return to simple docstrings
new 625b358 Incorporated suggested changes to Graphviz exporter
new 7908be9 visit -> export
new 6fae82d cosmit: added spaces
new 5e84258 cosmit: improved documentation
new 3908c61 Merge branch 'master' into sc
new 0fc78f9 fixed indentation and added section on memory requirements
new dd30699 Included dictionary learning online in decomp example
new f2a8df8 Added missing dashes in doc
new f3d5382 increase BallTree test coverage
new 59a0e4e Updated documentation to include the iris svg example
new 58bef8b fix BallTree linkage
new 1be34bc Merge remote-tracking branch 'jakevdp/neighbors-refactor' into jakevdp-neighbors-refactor
new 0d4fa9e fix typos
new db4f4e4 cosmit + docstest
new f75ee72 Merge pull request #3 from ogrisel/jakevdp-neighbors-refactor
new cca5aff cosmit: pep8 + docs
new a15554d Do not import mixture from top-level sklearn.
new 55babd7 DOC: add parameter C to docstring.
new c8f0936 Use LinearSVC's docstring instead of outdated one.
new 4a8273f scipy.lena has moved to scipy.misc.lena in scipy's dev version.
new c7f16d8 increase test coverage
new 632da98 Fixed typos
new 1ba99ed DOC: reorg, bold important points, include adjustment plot as figure
new 1e81d96 typo
new d89cee1 Use 1 / n_features as value for gamma.
new c315c5a improved documentation
new 0a50c71 Merge pull request #347 from ogrisel/cluster-metrics-2
new 90705a5 FIX broken tests by last commit.
new c4e97d6 np.float64 -> DTYPE. Set DTYPE to np.float32.
new aca6fa0 cosmetic changes to ari_score
new 6ba7aab pep8 + cosmetic changes
new fa50e68 rename ari_score adjusted_rand_score
new 8cae2c1 Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new 0c25d43 fixes typo in roc_curve method
new 201ce57 [refs #350] - variable renaming regarding reviewer comments
new 9ac01aa make sorting more efficient by transposing and sorting along last axis.
new da036d0 Merge remote branch 'bdholt1/enh/tree' into bdholt1-enh/tree
new 52cc103 Removes useless (and time consuming) statement.
new 54af74d Merge remote-tracking branch 'jakevdp/neighbors-refactor'
new ff4a3f3 more enhancements, variable names and test fixes
new 0a942f5 manhattan_distances now returns [n_samples_X * n_samples_Y, n_features_X] shape array This is instead of the [n_samples_X, n_samples_Y, n_features_X] it was returning.
new d22ec2c Doc update for manhattan_distance
new 3f01fd0 Fixed doctest error
new 1a06a46 changed a bunch of variable names, fixed some test cases
new ec149ed all code works great, all tests pass, full coverage
new fba4c7c changed a variable name to conform to scikits code
new 1187db6 Use a sample mask instead of fancy indexing.
new 0b613a4 Add changelog for changing gamma parameter.
new 1831875 Merge remote branch 'bdholt1/enh/tree' into bdholt1-enh/tree
new 6e07284 FIX example logisitic regression.
new 4664bed Move matrix factorization to work in progress.
new 1b40058 Initial changelog -- to be completed.
new b29dea1 More changelog and .mailmap
new fe1305f Why, emacs, why ??
new 4ddb27a Update changelog
new 52e756d DOC: broken link to example
new d0f0600 Improves signal sorting method (using numpy primitives). Adds dtype on tpr/fpr array creation.
new dbc7347 ENH: add control of n_init in spectral clustering
new 431723c correct variable names and added inline comments for active learning examples
new 643e559 Merge pull request #350 from tinyclues/master
new fcfa048 STY : pep8
new 42f8892 use hybrid sample_mask fancy indexing approach.
new 3ee7314 added attributes text to explain named attributes
new 27eb6c4 FIX: add test fixtures to distribution.
new 65ce680 FIX: broken link to example
new f1ecd92 DOC: always generate pages for autosummary.
new a6d6b3a cosmit: docs + rm comments
new 8b561dd added `min_density` parameter to CART
new 74d0e29 raise ValueError for min_split and max_depth on __init__ rather than fit.
new 67a017b BUG: scikits.learn -> sklearn backward compat
new 13dfebb Edited sklearn/metrics/pairwise.py via GitHub
new efddf2a STY: mostly style + avoid a zip in favor of an np.argsort
new 3a1e98c STY : in label_propagation.py
new 082c873 ENH : using numpy broadcasting instead of dot_out
new ade5f52 Changes on the feature_selection module.
new db17856 Merge pull request #13 from pprett/bdholt1-enh/tree
new dc30c35 COSMIT: corrected comments
new 7d11a32 made sample_mask a fit parameter
new 9baf540 updated documentation to reflect min_density concept
new ebd74dc Added items for cross validation and clustering metrics
new 958f591 Initial Silhouette Coefficient code. no tests yet, and haven't checked it actually works yet as well
new 5d6ddf0 Initial test. Not working yet
new 7b15624 FIX: some sklear.test() fixes.
new 0ebe801 Add Vlad as GSOCer
new c74347f trailing spaces
new 9a0db43 Merge remote-tracking branch 'vene/sc' into vene-sc
new 6ec4e1b cosmit
new 097f26a we grow our trees deep
new 0a1df77 cosmit + n_samples fix
new 1be8bf3 DOC: howto register the %lprun line_profiler magic on IPython 0.11+
new ca92354 Merge branch 'master' into sc
new 5841984 Merge branch 'vene-sc' of git://github.com/ogrisel/scikit-learn into sc
new f0b0cfe DOC: larger lena size in denoising example
new 3124785 Merge pull request #313 from robertlayton/pairwise_distance
new 200031e Merge branch 'master' into sc
new 531b187 Merge branch 'dictionary_learning' of git://github.com/GaelVaroquaux/scikit-learn into sc
new 167f340 renamed MiniBatchDictionaryLearning
new 84b8c67 layout
new 9c54b20 Reordered dictionary learning docs
new 2121bfc tweaked faces decomposition and added to dict learning docs
new 1a6f017 added dict learning face decomposition to docs
new 5956b55 Merge pull request #14 from pprett/bdholt1-enh/tree
new 37909f7 there is no more Leaf class
new ba509fa added feature_names to GraphViz export
new 76a2858 Merge branch 'master' into vene-sc
new de868c6 Merge remote-tracking branch 'vene/sc' into vene-sc
new b03dfa0 Fixed image display in docs
new cf7ae85 Merge branch 'sc' of https://github.com/vene/scikit-learn into vene-sc
new 2359d92 simplified fit_algorithm keyword
new 77a0ec3 s/img_denoising/image_denoising
new 5a8c416 scikits.learn -> scikit-learn + url of Numpy
new 3bb9186 s/scikits\.learn/sklearn/g
new 463120b Merge branch 'sc' of https://github.com/vene/scikit-learn into vene-sc
new 8fee910 made sparse_encode functions visible
new 18c6e1e added see also refs to sparse_encode functions
new 59e2de4 Tidied up graphviz related code
new 639fcfb Reordered dictionary learning docs
new e93612a Merge branch 'sc' of https://github.com/vene/scikit-learn into vene-sc
new 70ba1f5 test for improperly formed feature_names
new 61a3e00 removed sample_mask parameter
new 36b81e5 Stabilized and improved face decomposition example
new c49683c only return values that are used
new d56281e explicit seeding of olivetti faces loader
new 565c938 Merge branch 'sc' of https://github.com/vene/scikit-learn into vene-sc
new 4dd6f1e Complete Changelog.
new 4701854 FIX: import path under scipy's dev version.
new 10c146f Cosmit: make in-place modifications explicit
new 241ebba Merge branch 'vene-sc'
new c61ecac LassoLarsIC/CV and metrics.roc_curve in whats_new
new c72711f DOC: update whats_new.rst
new 95d667d Merge pull request #7 from larsmans/sklearn
new 57b9fd3 Comment tests that depend on PIL.
new 56a0392 Comment out tests for the current release.
new c8010b9 FIX typo
new d7d64b6 FIX: docstring for RadiusNeighborsRegressor
new 219bc2f BUG: ShuffleSplit: repr for random_state not number
new 05fdfa8 non-regression test for warm-start intercept shape using a binary dataset
new d78bf25 letting intercept_init be of shape (), reshape to (1,) for consistency
new 00cc485 sklearn.test() does not like doctest that don't print.
new ecf4b43 Doc: Print --> Issue
new 07bf0d3 Included distance helper functions line for 0.9 release
new 8640931 API changes in metrics/pairwise.py
new 5526951 Cosmit.
new f4e2249 if __name__ == '__main__' multiprocessing protection in ex2
new 71953c4 Safer assert_all_finite.
new ab4098e pep8 sklearn/utils/__init__.py
new 8b42048 Some more doctest fixes for sklear.test()
new 3e3872c Update commiters list
new 9748a50 Start of 0.10 development cycle.
new 9ab6be1 more details
new 1597ef3 more details in multiprocessing comment in skeleton too
new 4e9a91f added hopefully more intelligible error messages.
new 858b268 refactor linear models to call as_float_array only from _center_data
new 1034bc5 pep8
new 859cbd9 pep8
new a368a91 unconditionally call as_float_array in LinearModel._center_data
new e0dbd23 typo, pep8 and line continuations
new 57eca1c test for new error strings
new 7c3b2e1 slight beautification (in my opinion)
new ac198aa Merge branch 'master' of git://github.com/scikit-learn/scikit-learn
new 23fb617 Merge pull request #353 from amueller/sgd_warm_starts
new a40b576 refactor linear models to call as_float_array only from _center_data
new 906b00d unconditionally call as_float_array in LinearModel._center_data
new 98f4861 don't test on error message, just on raise
new 51b6f31 pep8
new 43c5656 Some Python 2.5 fixes.
new a3af07a More python2.5 fixes
new aed53bf FIX: assign NaN to an integer array has no effect on old numpy
new 18382c3 0.9 release
new e7f8212 Some Python 2.5 fixes.
new 59a7b18 Comment out non-python2.5 test
new 9c3f807 More python2.5 fixes
new 30070c9 FIX: assign NaN to an integer array has no effect on old numpy
new 8c4fa1b DOC: cross validation: introduce motivation and basic usage first
new fd1063f Merge branch 'master' of github.com:scikit-learn/scikit-learn
new bc9ba09 Some more changelog stuff.
new 9ee0c1e Some more changelog stuff.
new 45e8ac7 Update MANIFEST.in: scikit-learn --> sklearn
new 99f6be9 Update MANIFEST.in: scikit-learn --> sklearn
new cc21c5c update cluster docs (DBSCAN)
new 48f430f DOC: formatting examples as a topic
new 68e6544 ENH: GridSearchCV can has predict_proba
new fd79a67 FIX bug introduced in 68e6544
new 455e214 Revert "Comment out non-python2.5 test"
new 0f7e308 Comment out test non compat with python2.5
new 6624976 Giving due credit (last minute ChangeLog item).
new 9955ed5 DOC: fix typos
new cc678ad typo: s/accurracy/accuracy/g
new 6182960 Merge branch 'master' of github.com:scikit-learn/scikit-learn into enh/tree
new 7d3bc4a Merge branch 'enh/tree' of github.com:bdholt1/scikit-learn into enh/tree
new ab791ef DOC small stuff in base.py and multiclass.py
new adcb8e0 Add mldata loader and olivetti dataset to changelog.
new 4a1dc2b Add mldata loader and olivetti dataset to changelog.
new 4f85e55 Giving due credit (last minute ChangeLog item).
new 00370c8 DOC: fix typos
new 3f1ea66 Comment out doctest for fetch_mldata
new 614d12e MSE bugfix (MSE.eval used to weight variances by n_left and n_right).
new 3188200 take DTYPE from _tree extension module
new 57fa068 fix: inc n_left, n_right before variance computation; hopefully the last bugfix for MSE...
new 422a5d4 fix doctest + recompile cython code (accident)
new 588b038 Merge pull request #16 from pprett/bdholt1-enh/tree
new 6bd0980 use np.isfortran
new 68a2967 use None as the default marker
new 148f78a compute node id's on the fly
new beaab34 removed leftover class_counter
new d5fdaf0 trees: don't use deprecated cross_val, error messages, use super
new 4d0cddf Merge pull request #17 from larsmans/enh/tree
new 23c21d7 added test for pickle-ability
new 674a25f Merge branch 'enh/tree' of github.com:bdholt1/scikit-learn into enh/tree
new 4c9da52 make Node an extension type + change class label indexing.
new dad3dea recompile _tree.pyx
new 0d4764a make _tree import relative
new e3b2c5c Modified package name in Easy Install section.
new f8435fe make node pickleable & tidy up some rebase mistakes
new 95e75df remove obsolete tests
new 124fcfdf Merge pull request #360 from cmd-ntrf/master
new f7f1714 typo: threhold -> threshold
new 18d5a9e Merge pull request #19 from pprett/bdholt1-enh/tree
new 851847f fixed failing docttest
new b81cf2a improved tree documentation
new ac989c4 DOC minor editing to naive_bayes docs
new b8d6cb6 Merge branch 'tmp'
new 0668fd3 included a mathematical formulation for CART
new 5891d98 Remove BaseLibLinear.predict_proba not implemented
new 3ca4949 DOC: Install.rst wrong packaging info
new 6474b87 verify that scores from pickled objects are equal to original
new e7e279e pep8
new 2aaa1fe COSMIT
new c663517 scikits.learn -> scikit-learn in README
new 71aa52d `scikits.learn` in the README, to catch google
new 9be71a8 Cosmit.
new 56d26f9 rename overwrite_Foo params to copy_Foo (and inversed their meaning)
new 8f72745 document overwrite_ -> copy_ API change in ChangeLog
new 2da76f7 DOC: fix rst
new b3b507e TEST: skip unreliable doctest
new c1c7070 Merge pull request #354 from amueller/liblinear_parameter_errors
new dec37be DOC: minor doc ENH for trees
new 0813b93 COSMIT: tree code simplification
new 973e32d COSMIT: np.random should never be called
new 0224659 COSMIT: no seeding of the global RNG
new 7addd70 ENH: move parameter checking to fit
new 2f1ce85 COSMIT: y is a vector, not a matrix
new c9b0913 Cosmit, PEP8
new 185f7ab DOC: doc and example cosmetics for trees
new 716b1e7 DOC: improve spectral clustering docs
new 27fe56e API: spectral clustering uses arpack by default
new c4f32dc DOC: proper docstring for load_sample_image
new ee0aae7 Merge branch 'silhouette' of https://github.com/robertlayton/scikit-learn into silhouette
new 6065f24 Test working, pep8'd and pyflakes'd
new 3841f43 Sparse matrix testing
new 6ebefad Merge pull request #20 from GaelVaroquaux/tree
new 6e7ec46 COSMIT: +SKIP on classification doctest
new f1113fc BUG LinearSVC.predict would choke on 1-d input (+ regression test)
new 2e4bb7e ENH: Cleaned setup.py
new c5ad2c5 rewrote GraphvizExporter into a function export_graphviz
new edbdf48 Swapped y, D to distance, labels
new b6e691a more helpful error message in SGDClassifier.predict_proba with wrong loss
new be2683a Merge remote-tracking branch 'bdholt1/enh/tree' into tree
new b029a5b removed duplicate tests (already in fit)
new cfc3b8b DOC: Some docstrings have been rewritten + small cosmetic changes
new 170db7b Merge remote-tracking branch 'bdholt1/enh/tree' into tree
new e5d4228 DOC: Improved documentation + cosmit changes
new bc45db9 COSMIT: GraphViz exporter cleaned up
new 2474a32 ENH: Made apply_tree_sample slightly more efficient + various cosmits
new eaa2a22 Regenerated _tree.c
new 6f84f45 Merge pull request #357 from larsmans/overwrite-to-copy
new c83cae6 Merge pull request #21 from glouppe/tree
new 41fd435 classes can be any integer values
new 458cc72 fix doctest failures in linear_models docs
new 9fb3257 refactor and simplify naive_bayes
new 02ec8e4 prevent some copying in sparse SGD
new d85aca5 API: default in spectral clustering: auto
new e6eff45 ENH: no need for L2 norm on input in doc clustering
new cfe6b64 BUG adapt text feature grid search example to new 20news loader
new a95af4d BUG fixed and cosmetics in CountVectorizer
new 5a4d10e BUG + optimization in GaussianNB
new 4ef3db8 refactor common code of NB estimators into BaseNB class
new 4dfbe74 Refactor/simplify naive Bayes tests
new 597015b API change: 1-d output from BaseNB.predict_(log_)proba in binary case
new d8c6e47 ENH SGD error messages better still
new d626e7c FIX embarrassing SyntaxError in linear_model.base
new e53a63d BUG multiclass.predict_binary still relied on old MultinomialNB.predict_proba
new 5fef41a DOC prob_predict -> predict_proba in SVM docstrings
new 338f4d0 Revert "BUG multiclass.predict_binary still relied on old MultinomialNB.predict_proba"
new cc686f0 Revert "API change: 1-d output from BaseNB.predict_(log_)proba in binary case"
new edd47de Add dump_svmlight_file.
new f3d3fd1 ENH: make load_files use a fixed shuffling of the samples
new 0e516d0 Export data option in SVG gui.
new d6b2f8a Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 31e9a54 refactor SVMlight reader and writer
new 4d0793f silhouette_coefficient -> silhouette_score
new 1e9402c Restructured metrics/cluster into a folder with supervised and unsupervised modules
new dbc83ca Narrative documentation
new e9ec8c0 require that the next_sample_larger_than is greater than the previous by at least 1.e-7
new 5e3ae08 regenerate cython
new 414ce61 DOC: better svmlight_loader / dumper docstrings
new 712b12f ENH: 30% speed improvements in load_svmlight_file
new f90c8ab ENH: remove useless call to strip while staying robust to empty lines
new 5d8fcdf ENH: make MiniBatchKMeans display more info in verbose mode
new 2fb124a API change in SVMlight reader: handle multiple files with svmlight_load_files
new 569e446 Merge pull request #373 from larsmans/svmlight
new 178c6e2 check if y.shape[0] == X.shape[0]; this is especially troublesome for svm.sparse because most people are not aware of the sparse matrix - KFold troubles..
new 8a20cb9 unified predict for sparse and dense SGD.
new 1b7b031 cosmit
new 3b34162 fix: use None as default value for class_weight and sample_weight for sparse OneClassSVM; ample_weight -> sample_weight
new 93f7bd9 cosmit: pep8
new 0d9c3fb added y.shape[0] == X.shape[0] check to DiscreteNB
new b8b655f added X.shape[0] == y.shape[0] check to ElasitcNet
new 34a6bd5 Merge remote branch 'upstream/master'
new de6e930 Revert "BUG fixed and cosmetics in CountVectorizer"
new 6588a6e ENH: make it possible to skip label assignements in MiniBatchKMeans
new fda113f documented changes in whats_new
new 0ebbef3 Implements a robust covariance estimator: Rousseeuw's MCD.
new 1cdcbd4 Faster tests for coordinate_descent.
new 57beda2 Add changelog entry.
new e5c8699 Retry "BUG fixed and cosmetics in CountVectorizer"
new 4e84ff7 Integrate Fabian's comments on Minimum Covariance Determinant.
new 246903d CountVectorizer.fit_transformer refactoring, part N
new 85c680c thanks to @larsmans, TFIDF is now always positive :)
new d6783c0 Micro-optimize NMF for memory usage: topic spotting example down by ~17%
new 86c0df6 Merge pull request #376 from fabianp/fast_tests
new 334bbd1 if threshold is indistinguishable from a, choose b
new bd5677b Replace two more flatten()s in NMF with ravel()s
new 4078d6b FIX broken doctests in NMF + pep8
new 1e3f1dc Allow sparse input to NMF
new f24d6dd NMF: cosmit
new 8b57f1e Merge remote branch 'upstream/master'
new c0881f7 Fixed issue #378 on the RFE module
new 430fb43 Merge remote-tracking branch 'upstream/master' into silhouette
new cfb5230 "whats_new" updated
new 91f7abc Example updated, which required fixing a backwards compatability bug (adjusted_rand_score not imported in metrics/cluster/__init__.py)
new 90c8ee7 Silhouette added to AP example
new 90366b2 Using pairwise_distances in the Silhouette Coefficient. Updates to docs, code, tests and examples
new 7ff7e1f Silhouette calcualted for all forms of k-means in example
new 86cd33a fix: trailing-spaces option fixed to be executed
new c85e93a doc: updated docstring for permutation_test_score to reflect nature of p-value given the type of score_func
new 9d68886 sty: ran make trailing-spaces
new 013b66e Faster version by removing inner loop comprehension
new 1cf24e6 doc: fixed spelling
new 3ee51c0 doc: updated docstring based on feedback
new 461046b Merge remote-tracking branch 'bdholt1/enh/tree' into bdholt1-enh-tree
new 3fc9e7a Merge pull request #381 from satra/doc/permutation
new 730bdc7 Sampling to improve SC speed
new 42714e5 sampling added to silhouette_score, examples updated to match
new a1f273d pep8 and pyflakes
new 7e7af61 Updated doc with new API
new e2888ed Removed unneeded line from doc
new 4462347 FIX: compat with numpy 1.5.1 and earlier in NMF
new cb9e8e6 Implements a robust covariance estimator: Rousseeuw's MCD.
new 9a54ba9 Integrate Fabian's comments on Minimum Covariance Determinant.
new 80a5baa Merge branch 'mcd' of github.com:VirgileFritsch/scikit-learn into mcd
new 2f1bc44 Merge pull request #375 from VirgileFritsch/mcd
new edfcd5d modified threshold comparison from < to <=
new 918eb56 Merge remote-tracking branch 'bdholt1/enh/tree' into bdholt1-enh-tree
new c9d142c Merge branch 'master' of github.com:scikit-learn/scikit-learn into enh/tree
new 401aef4 Added tree module to whats_new
new dd9de04 release sv_coef memory
new 051a4bf ENH: add doc target to Makefile
new be48c63 Merge pull request #377 from larsmans/sparse-nmf
new 8206495 tree construction depends on n_features
new 3ce1d69 Merge pull request #383 from bdholt1/svm-mem-leak2
new fb7a048 Add Brian's name to the Changelog.
new 92815c1 STY: imports in covariance + pep8
new fb69f69 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 1ac53fc pep8
new 1aea8d2 pep8
new bcecd31 OPTIM: inplace max in distances computation
new ab882df OPTIM: avoid unnecessary repeted memory allocations in minibatch k-means
new d6b9138 Merge remote-tracking branch 'bdholt1/enh/tree' into bdholt1-enh-tree
new c41fe29 cosmit: pep8 and trailing spaces
new a5b8a84 merge master
new 4873dd6 DOC: fix broken links + various cosmits
new 0f3d93f Merge pull request #22 from ogrisel/bdholt1-enh-tree
new ddcde05 Merge commit '0.9' (theirs) into releases
new 543bc78 FIX: keywords {precompute, Xy} where implemented and documented but unused ...
new bc9ad28 Merge pull request #364 from robertlayton/silhouette
new 6fad3d5 FIX: remove non-ASCII char from silhouette docstrigs
new 8dfe631 Merge branch 'master' into tree
new ed8ebee Minor cosmit
new f202342 Updated changelog.
new bf68b53 Some clarification of the memory copy issues.
new 1cff3d3 Added a fix to prevent tree splits on samples that are not in the sample mask. The variable "a" should not necessarily be zero when it is passed into smalles_sample_larger_than(...).
new 0610e2b Added person webpage
new 365dadd added trailing underscore
new ae49d5b Removed exception from _find_best_split to avoid code bloat.
new c49789b Merge branch 'master' of github.com:scikit-learn/scikit-learn into enh/ensemble
new 0f4b1f0 Removed unnecessary variables
new 4a76a34 Merge branch 'fix-split-sample-mask' of https://github.com/TimSC/scikit-learn into TimSC-fix-split-sample-mask
new 70316d3 Refactor ensemble learning code
new afc4a03 Merge pull request #23 from larsmans/enh/ensemble
new dd4613a compute threshold as t = low + (high - low) / 2.0
new 52555de scikits.learn -> sklearn
new a1c29c9 update parameter names
new 0b41a2d Merge branch 'master' of github.com:scikit-learn/scikit-learn into enh/ensemble
new 1853583 remove enforcement of return type
new 8f5c2ef DOC: use random_state in KMeans
new 9323a22 DOC: improve silhouette coefficient docs
new ea59b84 MISC: better check_build error reporting
new 8782723 MISC: even better check_build error reporting
new 74ed8f4 OPTIM: inplace dense minibatch updates and better variable names
new b1b2cc1 cosmit
new 87c8664 FIX Issue 379 and use the opportunity to refactor libsvm code
new efd6b06 cosmit: better variable name in MiniBatchKMeans
new f6c3969 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 4e78abd ENH: make it possible to control the add variance caused by Randomized SVD
new fd425f6 Added a numerical stability test to decision trees
new 8a2c166 Added a numerical stability test to decision trees
new 97f0c3a Revert "Added a numerical stability test to decision trees"
new b9087e5 ENH: document clustering example simplification
new d3b4e4f Merge remote-tracking branch 'upstream/master'
new 4964ae7 FIX broken doctests on buildbot + pep257
new 8878774 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 3f4664d PEP08 names in graph_shortest_path
new c55c1f4 add warning flag to balltree + tests
new 7bf8a6b warning_flag doc
new bc563c2 add warning messages to KNeighbors
new 1ccb8eb fixes for tests
new 755ba4f attempt to address warnings catcher
new 5d1d437 hack to fix warning test
new f1d981b change warning message
new 3d93ce8 simplify warning test; remove assert_warns from utils
new 86a78a5 COSMIT
new 61af784 first stab at nearest center in cython (+30% perf, need check correctness)
new 6ade898 factorized label assignement as a reusable python func for the predict method
new ff9bd5b use direct blas ddot call and reuse _assign_labels in predict
new 85d6de9 Merge remote-tracking branch 'upstream/master'
new fe0ab94 DOC copy-edit naive bayes doc, with an emphasis on the formulas
new 2b04cff FIX: broken test cause by the use of todense which return a matrix instance instead of a regular numpy array
new b5cb57d COSMIT in chi² feature selection
new 2f7e997 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 0ac341a added support for sparse KNN graphs and tests
new 5e7d3c9 finishing up sparse additions (need to complete todo)
new 8d65e48 DOC ported latexpdf target from Sphinx 1.0.7-generated Makefile
new 24ac2f5 sparse KNN graphs now work
new 9aabbdb WIP on simpler cython impl of the center update (still buggy)
new ae445be DOC: added Gaussian Processes to class reference
new aa13538 compute inertia + remove code :)
new 6cd6c30 update renamed function call
new 2eb9833 Trying to fix NaN errors, but its not working. Pushing to work on it later.
new f366d52 DOC typos in Ward tree docstring
new fbad80e replaced ratio r with sampling with replacement
new 87a6f5b factorize dot product and bootstrap implementation for the dense case
new b7fe3bc use cpdef + less array overhead in ddot
new 5576ecf started kmeans test suite refactoring
new c3d3906 Mutual information now works (tested!)
new 6168d9c more code factorization
new b2a8956 refactored the kmeans tests
new 5f8d554 test and fix input checks for various dypes
new 6d1dda8 much cheaper yet stable stopping criterion for the minibatch kmeans
new c2696a0 Fixed bug in updating structure matrix in ward_tree algorithm.
new bda7451 Added test case that reproduces crashes in old version of ward_tree algorithm.
new 18f6e62 Performance tweaking in ward_tree.
new 0cd593f TEST: simplify test case
new 4a23653 SPEED tree: 2X in Gini criteria
new 8b2ca2a Cosmetic changes in LARS
new fe4c258 FIX: Py3k compatibility.
new e0c217d FIX: missing relative import marker
new d9acd6c COSMIT little things in hierarchical.py
new 0ecd9fc Merge branch 'releases' into dfsg
new ec7c63f Merge branch 'dfsg' into debian
new 7d2c23a removed deprecated up_workaround_numpy_cython_issue589652
new 3a4d5a0 Refreshed deb_use_system_joblib patch to reflect renaming of the module
new 8b80b52 added patch up_release_sv_coef_memory to "cherry-pick" 59006f248f24b22f7a8a21ada85c8558b5a1d1b6 (release sv_coef memory)
new c2c2403 First wave of changes for scikits.learn -> sklearn transition
new ed59b51 Initial changelog for 0.9.0-1
new 4b77953 updating deb_use_system_joblib again
new bf3c61b more on scikits.learn -> sklearn -- running tests
new 527ed34 Merge remote-tracking branch 'upstream/master'
new 6bccd7d DOC: Added load_boston in classes.rst
new 4a3975f BUG NMF topic spotting example would output n_top_words-1 terms
new 7465296 DOCS: Image is aligned to the right...
new 395c2e8 Merge pull request #400 from amueller/docs_typo
new 8eaaa75 Enabled all unittests and ignore failures on doctests: https://github.com/scikit-learn/scikit-learn/issues/401
new 2ad830f to please recent gbp -- we are building from the branch, not tags
new c4bb0b4 BF: fixing movement of scikits.learn into compat package
new b88e21b added Enhances field to reference upcoming mvpa2 and mdp
new deec957 Adjusted debian/copyright to be fresh DEP5-compliant (+minor reformatting of changelog)
new 5308cad Removed ipython from build-depends and suggested it for the binary
new bfd36aa fixing bashism in custom 'move around' loop
new 9f05c11 AMI now works, and has been tested against the matlab code (test based on this to come!)
new e473f70 Remove phantom double v-measure !?
new 2d8677f Added tests. There are two errors, but I'm going to bed. I'll fix them in the morning.
new 96746bc DOC explain multiclass behavior in LogisticRegression
new 10d78a7 DOC: LogisticRegression is a wrapper for liblinear.
new 3c02ca8 MISC: mk roc_curve work on lists
new ff50c21 FIX: keep track of index swapping in OMP
new 50249f6 Merge branch 'master' into omp_bug
new 296909f pacify lintian and add ${python:Depends} for python-scikits-learn
new f7a245a DOC Added documentation for important attributes of GridSearchCV
new 1a9319b specify dict type
new 5a8c45f Merge pull request #404 from amueller/grid_search_doc
new 45d05ab COSMIT pep8 feature_extraction.text
new 7451033 DOC some stuff on input validation
new 8b3c656 Merge branch 'omp-bug-test' into omp_bug
new a316327 Testing for swapped regressors in OMP
new a7fda94 Merge branch 'omp-bug-test' into omp_bug
new 0d42b51 DOCS: Typo in url
new 7c5f6c0 Merge pull request #407 from amueller/sgd_url_typo
new 0240e19 PEP8
new 1718399 Merge branch 'master' into omp_bug
new 797041a ENH Cython version of SVMlight loader
new af91582 Merge branch 'master' into ami
new 770020f Merge branch 'ami' of github.com:robertlayton/scikit-learn into ami
new 193ac02 - AMI in the cluster examples - See Also sections updated - mutual_information -> mutual_information_score (and updating subsequent imports)
new 867ec2f Higher level import for ami_score
new 18b9a78 There is an overflow problem. It can be reproduced with the plot_adjusted_for_chance_measures.py example Commiting to get help on error
new a509d4c Merge pull request #408 from vene/omp_bug
new aaf5c23 Narrative doc, and I think I fixed the overflow issue (more tests to come)
new fb0c3f8 Fixed logs to match the matlab code results. This fixes the tests (which needed a bit of updating)
new db845fa Test now tests a much larger array
new 77ec530 Test actually does what I meant it to do, and works sufficiently
new 52fc4c5 Fixed this example. Tested the others (they worked!)
new c021b59 pep8 and pyflakes
new 3bde2bf ENH accept matrix input throughout
new 51d4310 COSMIT rename safe_asanyarray to safe_asarray to prevent confusion
new 4eebf9b fix: permutation test score averages across folds
new afefe0b initial checkin of gradient boosting
new 210a11c GBRT benchmark from ELSII Example 10.2
new eb8a2c9 added GBRT regressor + classifier classes; added shrinkage
new 96fef35 use super in DecisionTree subclasses
new 18bdc1c first work on various loss functions for gradient boosting.
new 62d9af7 added store_sample_mask flag to build_tree
new 25ab085 implemented lad and binomial deviance - still a bug in binomial deviance -> mapping to {-1,1} or {0,1} ?
new 2200d97 updated benchmark script for gbrt.
new d075567 some debug stmts
new 0de4ab6 new benchmarks for gbrt classification
new 900d0b5 fix: MSE criterion was wrong (don't weight variance!)
new 6bc49ce more benchmarks
new 55fcd10 binomial deviance now works!!!!!
new a6a59f4 add gradient boosting to covtype benchmark
new 9168add add documentation to GB
new 39da308 timeit stmts in boosting procedure.
new b53bac3 add previously rm c code
new e4318a8 updated tree
new c00d86f hopefully the last bugfix in MSE
new 014f1a1 new params in gbrt benchmark and comment out debug output
new 6e370b7 make Node an extension type + change class label indexing.
new 7ce5163 predict_proba now returns an array w/ as many cols as classes.
new aac158a cosmit: tidyed up RegressionCriterion
new 8a57c4e added VariableImportance visitor and variable_importance property
new aadc505 minor changes to benchmark scripts
new 191fffb use `np.take` if possible, added monitor object to `fit` method for algorithm introspection.
new 1c669a4 cosmit
new 01ae6b2 choose left branch if smaller or equal to threshold; add epsilon to find_larger_than.
new 9359b98 compiled changes for last commit
new 92c773a cosmit
new 638a65e some tweaks and debug msg in tree to spot numerical difficulties.
new eccc0f0 added TimSC tree fix
new 73682fa changed from node.error to node.initial_error in graphviz exporter
new 5ce1739 recompiled cython code after rebase
new 7ffa230 fix: _tree.Node
new a4e4203 comment out HuberLoss and comment in benchmarks
new d517ced STY: pep8 + naming
new cbab862 DOC: prettify plot_permutation_test_for_classification.py
new 5c18598 DOC : adding permutation_test_score to changelog
new 0dfb8f0 DOC correct Google URL
new c06ebe7 MISC: __version__ in scikits.learn
new 15b4047 ENH: Adds more verbosity to grid_search. verbose > 2 gives scores while running grid.
new fdffade Merge pull request #414 from amueller/grid_search_verbosity
new aa69d85 FIX #401: update tutorial doctests to reflect recent changes and add them to
new bb46a32 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 92e3ec2 DOC: new scikit-learn.org URLs and mention license in README.md
new 3052291 Merge remote-tracking branch 'robertlayton/ami' into robertlayton-ami
new b7d7642 measure runtimes for various clustering metrics in adjusted for chance example
new 3845fd8 FIX warnings by avoiding 0.0 values in the log + cosmit
new b89b6d0 Merge pull request #3 from ogrisel/robertlayton-ami
new 77ff098 Optimising the expected mutual information code Still a long way to go, but I've halved the time from approx 30 seconds to 16 seconds for an example
new 6c177a1 pep8 grid_search.py
new 4ab62e7 changed from y in {-1,1} to {0,1}
new 5fe9b26 cosmit: beautified RegressionCriterion (sum and sq_sum instead of mean).
new d63f39c rename node.sample_mask to node.terminal_region renamed BernoulliLoss to BinomialLoss and rm old BinomialLoss
new a14778e Merge branch 'master' into minibatch-kmeans-optim
new 634cf71 Delete benchmarks/bench_svm.py
new 26b5896 Delette benchmarks/bench_neighbors.py
new 71d5243 FIX replace np.atleast_2d with new utils.array2d
new 59f1970 DOC correct and clean up empirical covariance docstrings
new 1f2549d ENH test input validation code on memmap arrays
new 0c9cb49 Merge pull request #410 from larsmans/accept-matrix-input
new a03b104 ENH sample_weight argument in discrete NB estimators
new c6aaef8 MISC: More meaningful names for lapack functions in least_angle.
new b5429ab Removed unused parameters in least_angle
new f161fab BUG handle two-class multilabel case in LabelBinarizer
new 7367155 TEST better test for binary multilabel case in LabelBinarizer
new de280c8 fix: Node.__reduce__
new c68a368 unused import
new 3ef20fe fix init predictor for binomial loss
new 96daa4f ENH multilabel learning in OneVsRestClassifier
new 82696d5 BUG: Use threshold in LabelBinarizer in multi-label case.
new 894747f ENH support decision_function in multi-label classification
new 025cf80 DOC OneVsRestClassifier multilabel stuff
new 6f232b9 ENH multilabel support in SVMlight loader
new 688d2dd DOC multilabel classification in narrative docs
new 3fa52bf FIX Python 2.5 compat in utils/tests
new 94f98dc Cosmit: used named parameter.
new 8a487b6 ENH Label indicator matrix support in LabelBinarizer and OVRClassifier
new 498f293 COSMIT multiclass.predict_ovr
new b260880 DOC expand Naive Bayes narrative doc (BernoulliNB formula)
new f997740 DOC: add IterGrid in reference
new 55c20cb performance enh: update predictions during update_terminal_regions
new 2e42f89 COSMIT in naive_bayes
new 13a48df Adding old version of EMI, as I'm about to change it
new baae4df fix: samplemask cosmit: pep8
new 983556e low memory computation of the square diff
new 054b682 be more consistent with the usual behavior of fitted attributes
new b453e1e ENH prevent copy in sparse.LogisticRegression
new e7c02a3 base convergence detection on EWA inertia monitoring
new e6d5ed0 Revert "ENH prevent copy in sparse.LogisticRegression"
new 0bfc957 DOC: minor typo "precom[p]uted"
new 8ea63e9 COSMIT: no import as
new 942b354 Merge remote-tracking branch 'upstream/master'
new 8170fb5 various cython cleanups
new 744072e working in progress to make it possible to use a speedy version based on smoothed inertial only
new 8c65edf ENH: more informative error messages when input has invalid shapes
new 95d497f Merge branch 'master' of github.com:scikit-learn/scikit-learn
new eab5877 Simplified tree module API.
new 1c00a45 Added some comments
new 40afcd9 ENH: more informative error message when shape mismatch in TF IDF transformer
new 76e6197 merge master
new e8ddec5 preparing new stopping criterion impl
new 1e4e601 ENH: make it possible to pass class_weight='auto' as constructor param for SGDClassifier
new 562fcae Merge branch 'master' into minibatch-kmeans-optim
new 28fc441 Allow for max_depth to be set to None
new 7813be0 work in progress (broken tests) on early stopping with both tol and inertia lack of improvement
new a753733 MISC: Warn for integers in scaling/normalize
new 1a1b9f4 MISC: better warning message
new ccc3cad This version doesn't work either. I am uploading for historical sake. I'll be undoing these changes with the gammaln function to see how that goes.
new e13b3f0 make min_dist test more explicit
new 77c9663 fixed broken test
new fb6fe36 Initial usage of gammaln. Not yet tested
new a786bdc Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into ami
new ba52695 Simplified the tree code
new c50067b Added k_features argument to build randomized trees.
new 7769275 DOC: Document "cache size" argument of SVR
new 8f602bc COSMIT: remove unused error string.
new b991096 First draft at find_best_random_split (not yet tested)
new e072eb0 COSMIT: remove unused error string.
new 5bf49f9 Renamed k_features to max_features
new 8735632 Added some explanatory comments into the code logic
new d17fba0 optimize label assignment for dense minibatch and new test
new a2d136f fix tests
new c10964d fix tests
new 8579119 start with zero counts in tests
new d117ec5 fix bug: x_squared_norms should follow the shuffle...
new 77db343 ensure that the sparse and dense variant of the minibatch update compute the same thing
new 82c3f62 better default value and parameter handling for max_no_improvement
new a0f2598 switch to lazy sampling with explicit index to divide memory usage almost by 2 and decrease code complexity with no measurable impact on the run time
new 28b4d88 more code simplification
new 9943f40 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 895094d ENH: removed kernel cache from fit method of DenseLibSVM, added to __init__ of BaseLibSVM
new 8505e23 Added kernel cache argument to init of all SVC and SVR classes. For the moment the conservative 100MB default.
new 82561e6 BUG cache_size instead of cache as paramter name
new d961d79 BUG: cache_size also for sparse SVMs
new 627bf41 DOC typos and style in linear_model docs
new 25782ef added timing info
new da847fb cosmit: get rid of gcc warning (q_data_ptr was not initialized)
new b654278 fix: overflow of `offset` variable if X.shape[0] * X.shape[1] > 250M
new aea7b5a COSMIT: never use np.linalg, but scipy.linalg
new 4170b24 Re-extended the _build_tree API
new 39c086d Factored is_classification
new e35d7ea Added ExtraTreeClassifier and ExtraTreeRegressor
new b4e7ce5 Typo
new cb3eff0 BUG: ProbabilisticPCA.score work with pipeline
new 928fb05 First draft at forest of random trees (work in progress)
new d812573 Convert to scipy doc convention + add missing options
new 94f67f0 Added some tests
new b4faf00 Cosmit
new 4e74650 ENH: SVM cache_size default value changed to 200 mb
new 8878ebe ENH Sparse SVM: removed cache_size parameter from fit method. Is now part of constructur.
new 60e4c80 DOC fixed doctests for cache_size parameter
new 776b534 DOC slight reformatting of kernel cache note in module docs.
new 3e04da6 Fixed bugs in forest + first test
new 07b4121 BUG: minor mistake in earlier commit.
new bdc69b6 DOC: fogot doctests in python files.
new b73fd80 Check X is a fortran-array and y is contiguous
new 87f4cf6 DOC: another doctest.
new 711345a Fixed bugs
new 73178f6 Added tests of the forest module (work in progress)
new 9b62d90 Default value of n_trees=10
new 62b9bdf bootstrap=False for extra-trees
new f220d9e Set random_state=1 in tests
new 0fa97be Added documentation in the forest module (work in progress)
new 5b6a88a Cosmit
new 669ecbe COSMIT cleanup sgd Cython code
new 75bf5b0 Still overflows, but the closest so far. Using gammaln
new 01ae29e It works! Still have some optimisation to do, but it works for larger arrays
new 10a21f7 ENH: in Scaler, warn if fit or transform called with integer data.
new e625ba4 Merge pull request #425 from amueller/svm_cache_size
new 9224538 started example to check the convergence stability in various settings
new 32fb601 FIX: buggy usage of for / else for k-means n_init loop
new 231057b DOC: update what's new
new 161430c tracking changes from master
new 433a381 FIX: broken HMM tests caused by KMeans convergence in one step
new 113d394 merge master
new 0e9b771 ENH parameter "epsilon" in SVR error messages is given correct name.
new 033e657 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 87a28cd ENH: use integer indexing instead of boolean masks by default for CV
new f407372 Moved start and finish outside of loop
new 37df796 implemented n_init for MiniBatchKMeans
new 4f9f32c Merge branch 'master' into minibatch-kmeans-optim
new 48bb4f3 DOC update cross validation docstrings for default indices=True
new 3d58c49 refactored the init logic for MiniBatchKMeans
new a68c85f Merge branch 'master' into minibatch-kmeans-optim
new 8858a80 fix stability and warning in tests
new 9fbe559 make k-means++ work on sparse input and use it as default for MB k-means
new 768e471 add version info in deprecation message
new 6af7996 factorized out the early stopping logic in a dedicated method
new 5645473 MISC: remove links to sourceforge URL
new 822b4ee BUG handle broken estimators in grid search by cloning them
new e3dc529 DOC: fix links in mixture
new 982359c first stab at a reinit strategy that work on low dim data only
new 7e02960 MISC: add citation information
new f87248d new example to emphasize issues with current naive reinit scheme on sparse data
new 8118f6e BUG: vectorizer.inverse_transform on arrays
new 3f1901c second experiment on reinit that does not work on high dim sparse data either
new 951b997 Completed documentation
new 5df1a83 ENH don't require numeric class labels in SGDClassifier
new 88adf3b comments, pep8 and pyflakes
new 9f6ca7f Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into ami
new ce7e009 Added some tests
new f0b519d Added predict_log_proba
new 2ab37e5 Added some more tests
new 9e8b973 Removed old random forest files
new 2fa1052 ami_score -> adjusted_mutual_info_score Warning about slowness of function
new e51e4d6 ami_score -> adjusted_mutual_info_score This time, in examples and docs!
new 8ac39e0 Added some more tests
new 38f1309 Cosmit
new 19f813e Regenerate _tree.c
new e0ec089 BUG fix SGD doctests
new a35936d Fixed a small bug
new b23a53e Cosmit
new 021ae0e FIX: array2d was did not return contiguous arrays with order='C' ...
new 09677e0 FIX: do not use reshape in libsvm sparse bindings.
new 8686d40 * doc/conf.py: added required latex packages (bm and morefloats) * doc/images/iris.png: added image based on iris.svg * doc/modules/tree.rst: changed reference to iris image
new 4ad73b5 DOC: pdf compilation
new 954b098 bug: mode='LM' -> mode='LA'
new a42ed3c BUG fix Naive Bayes test + refactor module
new 7375d50 DOC typo
new 66f7a0b "What's new?" AMI!
new 7184e39 Use super()
new 362a986 Use take instead of __get_item__
new feeee90 Rewrote some comments
new 030afba Cosmit
new 2be7b0e Revert changes on conf.py (mistake on my part)
new f0d40dc Added random_state parameter to _find_split functions
new f4b80fa Factored out changes on the ensemble module
new b7df59f Merge remote-tracking branch 'origin/master' into tree
new 7e7da4e Fixing conflicts
new ae6c76f Merge remote-tracking branch 'upstream/master'
new 81bff12 ENH: Easier debugging in check_build
new f20c0d0 ENH check_build: better error msg for local imports
new beace0d DOC Made reference to "Getting started" in "Datasets" section a link.
new dcb38d7 DOC: inline example for precomputed svm kernel
new 3485737 Removed extra-trees (for now)
new 5975f4c Removed extra-trees from __init__
new 116de7e Removed extra-trees (again!)
new 85aee9d Merge pull request #432 from glouppe/tree
new 1657df4 fix: broken doctest with precomputed kernel
new b6f4de5 changed Decision Tree representation to struct of arrays instead of composite structure.
new 729cb50 fix: use tree.predict instead of functor
new 4916ec2 Graphviz visitor now works on array repr. each node now has best_error and init_error; best error is the error of the split, init error is the error of the node. For leaves we compute the error using a helper function and best_error == init_error.
new 1c7f089 cosmit: doc strings
new d6cd84d DOC: turn off generation of index pages
new b9685ff Merge branch 'ami' of https://github.com/robertlayton/scikit-learn into ami
new f26ed76 mutual_information_score -> mutual_info_score
new 17ee6c4 and in plot_adjusted example (mutual_info_score)
new ff0dbf9 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into ami
new 83c7445 Use centralized directory for generated files.
new 4eb4caa Merge remote-tracking branch 'upstream/master'
new f36ec61 ENH in preprocessing.Scaler, raise warning also if given unsigned int
new 118e8bd cosmit
new 70b188b ENH support array-like y (lists, tuples) in GridSearchCV
new 2e1c5e8 ENH: Capture stdout in executed examples
new d96b154 ENH support arbitrary labels in metrics module
new 6263124 Merge pull request #402 from robertlayton/ami
new fbe8aed COSMIT: layout in plot_kmeans_digits example
new f45a269 DOC: minor fix to AMI docs
new f2697cb ENH: First sketch of glasso
new 519ab77 ENH: example for l1 covariance estimator
new 65fa358 ENH: Add cd solver to glasso
new 3d1d982 COSMIT glasso: docstring and cleanup
new b9e6d54 ENH: the GLasso estimator
new 0a29d06 DOC: Better glasso example
new 3dd76fd TEST: test GLasso
new 53d49bd ENH Glasso: don't penalize the diagonal
new 71d76eb ENH: Add a GLassoCV
new a01bd34 ENH GLassoCV: iteratively-refined Grid search
new bc9176b ENH GLasso: stability on correlated data
new db60df4 ENH GLassoCV: better parameter optimization
new 6bf2bdc TEST GLasso: increase test coverage
new 17e2462 DOC: narrative documentation for GLasso
new 46fdc66 COSMIT: @agramfort's comments
new b349812 DOC: add sparse inverse covariance in whats_new
new b00504d PEP8
new 17a1d5f DOC: rmks on structure recovery
new da97008 DOC: better stock_market example (WIP)
new 17361c7 COSMIT: address most of @ogrisel's comments
new 779bc9a ENH: don't echo convergence warning on CV grid
new 84f0d1b DOC GraphLasso: be explicit about which algorithm
new aae84b3 DOC GraphLasso: notes on algorithms and recovery
new f6d28c3 DOC: docstring in stock market example
new dfd4689 DOC/API: integrate make_sparse_spd_matrix
new 218767c PEP8 + various cosmits
new 57cab00 pep8 in sparse covariance example
new b7e2491 PEP8 + PEP257 in samples_generator
new bdaf459 Typo
new 825d033 MISC: address @larsman's comments
new 1668a92 API: g_lasso.py -> graph_lasso_.py
new b7fa45f DOC: GLasso -> GraphLasso
new 04ae951 MISC: @VirgileFritsch and @mblondel's comments
new 4716c25 MISC: silence stdout in GraphLassoCV tests
new e951c37 PEP257 - docstring style
new a5007b5 ENH GraphLasso: Silence warning
new 9eec795 ENH: graph_lasso works on empirical covariance
new cfeab0e BUG: update tests to changes in graph_lasso
new ac803a5 Fixed values in Adjusted Mutual Information doctests
new a8e45bd use safe_sparse_dot instead of np.dot
new 2782c53 BUG: fix layout in examples
new 91d0333 MISC: fix rst bug
new e108215 DOC: put class reference in the banner
new 47fd425 DOC/Website: Changed link on "support" page to scikit-learn.org, added 0.9 release doc link
new dba2538 COSMIT: prettify plot_oneclass
new d363d08 DOC: rework front page
new 4fa9b07 DOC: Add 'up' relative link
new 1689ecb changed int64 to int32 in tree repr; cosmit in _tree.pyx
new 4007610 Merge branch 'tree-array-repr'
new 86801ba changed for `for i in 0 <= i < n` to `for i in xrange(n)`.
new 69803e0 Merge branch 'tree-array-repr'
new 6def64c ENH : adding support for scaling by n_samples of the C parameter in libsvm and liblinear models
new 6cf3040 COSMIT rm comment in coord descent code about np.dot
new 0f15066 COSMIT no need for csr_matrix "cast" in coord descent
new 541528c Remove C from NuSVR.
new cbeb674 DOC: title for the user guide content file
new 329e89d DOC: don't display empty tocs
new 3db4c67 MISC: scikits.learn -> sklearn
new 0961424 DOC: proper link structure in examples
new 7897b8c DOC: title to relative links
new ad9f7b5 FIX : removing param nu from sparse.SVR, C from NuSVR + pep8
new 5504034 $Merge branch 'master' into n_samples_scaling
new 71aa6f3 typo
new fdbd584 s/C_scale_n_samples/scale_C
new 8fb7c84 Merge remote-tracking branch 'upstream/master'
new 7bd3f88 Rebase of @bdholt1's ensemble branch
new dfd924c DOC: Added module descriptions
new 46abcb0 PEP8: tree.py, forest.py
new e980d3f DOC: EPD ships a recent version, but not latest
new f9161f6 changed tree.left and tree.right to tree.children (similar to cluster.hierachical)
new 75faece DOC: state clearly the version number
new 2e55ca3 Merge remote-tracking branch 'upstream/master' into ensemble-rebased
new fca7dda MISC: plot_stock_market cluster on learned covariance
new 08b5069 DOC: Added warning and see also
new 1bae431 DOC fixed whitespace in GridSearchCV doc string so that html doc is generated correctly.
new 16ab921 ENH: Modified forest API to make it possible to grid-search the parameters of the underlying trees
new 4b8619b use new tree repr; adapt gradient boosting for new tree repr.
new 136d2ba Merge branch 'master' into gradient_boosting
new e2fa33d cythonized tree (still broken)
new b0d5f93 clear tree.py
new 44b778b updated _tree.c
new 492442c updated GradientBoosting with current master
new d9aa128 Merge branch 'master' into minibatch-kmeans-optim
new 0a3d896 fix: update variable importance
new a8c7d60 l1_distances was renamed to manhattan_distances.
new 0d54dfa added gradient boosting regression example
new 1569b73 added test deviance to GBRT example
new 090037f added avg_f1_score
new e546621 tst: added tests
new df6010b enh: added matthew's correlation coefficient
new d7fe7a9 updated TODO in module doc
new baf69e6 BF: index out of bound in GraphLassoCV grid refinement.
new ee5451e sty: pep8 + doc
new 8870d53 ENH prevent copy in PCA if not necessary
new a63931e Merge remote-tracking branch 'upstream/master' into ensemble-rebased
new 15f9522 ENH: Check that base_tree is an estimator
new 87cf1b3 fix: sgd module clone issue w/ rho parameter
new fe55429 Merge remote branch 'upstream/master'
new fee7e8a FIX use super consistently in SVMs
new fb07d61 Description for logo: font, color, etc.
new 8de628e ENH: Make forest derive from BaseEnsemble
new 02f2751 Removed Bagging and Boosting modules from this PR
new a06504b ENH: Make the Forest's API coherent with BaseEnsemble's API
new f117f31 FIX: Don't clone estimators at instantiation
new fa3dc81 TEST: Added test case for grid-searching over the base tree parameters
new b637ea1 ENH: Cosmit
new 21288e9 EXAMPLES: Improved plot_tree_regression
new a8030a7 Typo
new 7df65e5 EXAMPLES: Improved plot_iris
new 1fb6dde EXAMPLES: Added plot_forest_iris
new 58eeb71 FIX: Trees couldn't be cloned properly
new 199bf94 ENH: Added __init__.py into ensemble/tests/
new 303b554 BUG: fix score() with GraphLasso
new 892dd6b Compatibility with numpy 1.1
new cdb15d3 DOC: Improved documentation in the examples
new 95c159e PEP8
new 5bf4b8c TEST: Added tests of BaseEnsemble
new d434ed4 TEST: Improved test coverage
new 8829cab EXAMPLES: Fixed a bug in plot_forest_iris
new ca63fd1 Skip tests in OMP that fail on old Python versions
new a86b444 Fix one-dimensional y in Gram OMP estimator
new 82e3b17 BUG GraphLassoCV: score() needs a store_precision attribute
new dee14ae Merge branch 'master' into gradient_boosting
new 48fda63 ENH incrementally build arrays in SVMlight loader to reduce memory usage
new 21932a0 DOC: Cosmitis in the narrative documentation of the tree module
new 742c427 DOC: Improved narrative documentation of the tree module
new ffd9c04 DOC: Added ensemble methods to TOC
new 62d79fa DOC: Added ensemble methods to the class reference
new 6b7a9ce Merge pull request #446 from larsmans/svmlight-loader-memory-use
new 09701e4 DOC: First draft at the narrative documentation of the ensemble module
new e300668 DOC: Narrative doc of the ensemble module (work in progress)
new fd38239 DOC: Completed the narrative documentation (work in progress) + What's new
new 8d30a9d DOC: Fixed What's new
new 0d664de DOC: Last details on the narrative documentation
new f071368 DOC: Added a last example in the narrative doc
new b277f54 FIX: make the doctests outcome deterministic
new ccc860f DOC: better toplevel docstring
new 902dbdc DOC: add simple descriptions in the concrete class docstrings
new 50d8ac2 FIX: workaround what looks like a numerical instability in doctest
new c3cd700 Merge pull request #1 from ogrisel/glouppe-ensemble-rebased
new 820d5d0 DOC: Address @vene and @satra comments
new cdc5954 TEST: Added test_base_estimator
new b83882a DOC: Cosmit
new a0a876e COSMIT removed unused import, pep8
new d137da1 COSMIT pep8 in cluster module, removed unused import
new ff3f814 COSMIT pep8 whitespace
new 772d338 COSMIT removed emacs modeline
new 638ba28 COSMIT: pep8 whitespaces instead of aligned decimal points
new 6524496 COSMIT indentation
new 88dc827 COSMIT ugly line break for pep8
new 911eb2b COSMIT reindented for pep8
new 77495c7 COSMIT pep8 whitespaces
new c6e6893 Merge pull request #447 from amueller/pep8
new ce57ec4 DOC: Move practical info into its section and delete duplicates.
new 6fd239d Style: webpage tweaks
new 63887c2 Style update in documentation.
new 6d5cb36 Doc: minor fixes
new 72c5f01 Minor update and fixes to linear_model documentation
new 7bd3d84 Minor update and fixes to linear_model documentation
new 27f89c7 Move implementation details into RST doc.
new 306985a ENH: Simplified RandomForest and ExtraTrees API
new 868d4af Docstring conventions.
new 6514438 DOC: rename n -> p
new 63005c0 Web page layout tweaks.
new d7f41e4 ENH: Use trailing _ for private attributes
new 3ffbe9c DOC: Added warning in make_estimator
new 8c1426f DOC: Removed 'default'
new 2d057f7 Revert "Remove C from NuSVR."
new 16f628e Revert "FIX : removing param nu from sparse.SVR, C from NuSVR + pep8"
new 9b587f5 FIX: Bug with bootstrapping
new 101b75c FIX: Bug with bootstrapping (2)
new 574b272 FIX: Bug in plot_forest_iris
new 4623214 Merge remote-tracking branch 'upstream/master'
new d5c5188 DOC: Use ELLIPSIS in doc-test
new 344cca2 Cosmit
new f72634d fix: make GradientBoostingBase clonable.
new 6ebaede fix: learning rate schedule doc.
new afcf12c Merge remote branch 'upstream/master'
new bb5ddcb fix: rm `nu` argument from sparse.SVR (taken from dense SVR).
new f6d7344 ENH: Address @agramfort comments
new aaeaa14 added unit tests for gradient boosting (coverage ~95%)
new a0c8414 Benchmark: Added random forests and extra-trees to bench_sgd_covertype.py
new 62aa5d6 Merge pull request #439 from glouppe/ensemble-rebased
new 54bc641 Merge branch 'master' into enh/metrics
new e6558db Merge remote-tracking branch 'upstream/master'
new 227770f better test coverage
new 87c5317 store loss object in estimator
new e0b78b9 don't use dict comprehensions (support python 2.5 and 2.6).
new cf1233e fix: tree doctests + ensemble doctests
new 7b13fc9 Merge branch 'master' into gradient_boosting
new 6d90b2b stub for gradient boosting documentation
new 3b17eaf STY: pep8 + pyflakes
new 209ecb0 Merge remote-tracking branch 'upstream/master'
new d98e02d FIX: Use random_state in _find_best_random_split
new af611cb Merge remote-tracking branch 'upstream/master'
new d679e8d ENH: in sgd classifier, check that parameter alpha is greater than zero
new 404152d Small comment on the dual parameter in LinearSVC.
new 65155d8 restore original bench_tree.py
new a23f6e2 Merge branch 'master' into gradient_boosting
new a51424b Small comment on the dual parameter
new 81f3d12 Refactor MCD robust covariance estimator: it is easier to regularize.
new ae075ae Merge with Gael's glasso changes.
new 545a332 Make the design even more modular for MinCovDet.
new 47fa3bd Make the "robustness parameter" accessible through the API.
new c12fa6b Integrate Gael's minor comments + Magnify examples + 1D data case.
new f43c524 Remove `correction` and `reweighting` parameters from the API.
new 4a56f3e Merge pull request #396 from VirgileFritsch/refactor_mcd
new 1955ffd COSMIT some pep8
new 741dfd3 some pyflakes
new 78fa279 COSMIT more pep8
new b62b97a COSMIT more pyflakes
new b0d10fc COSMIT: more pep8. enough for today...
new ae3b943 Re-ran the tests and found that the GaussianNB error was much lower.
new 0074331 Update svmlight loader documentation.
new d02cfe4 Fixed typo
new 510b1a1 Merge remote-tracking branch 'upstream/master'
new 6709ed5 First draft at Reference rewrite
new ea7d943 DOC: "the scikit-learn" -> "scikit-learn"
new 6d83701 DOC: References to user guide sections
new 18fb39d min_density now works with store_terminal_regions (however, this only matters if you learn deep trees max_depth >> 5 which rarely happens).
new c40dbf7 DOC: Standardize the module documentation format (work in progress)
new b25c574 DOC: Standardized the module documentation format (2)
new 05dd1ec DOC: Fixed graph_lasso reference
new aa5af20 DOC: "Class Reference" -> "Reference"
new 3573dbc DOC: Fixed warning
new f7e8c18 DOC: fix name for line_profiler_ext.py extension
new fbe6e97 Merge pull request #453 from yarikoptic/master
new c2e73e7 pep8
new 4188212 Merge pull request #452 from glouppe/doc
new 1519739 DOC: enhancement for Debian installation + fixed various typos
new b68226b cosmit
new 61c39f1 DOC: Changed sections titles in the reference
new 560352c DOC: restore 'This page' in sidebar
new dfa2d08 added input type and shape test
new 9254379 fix: added ensemble to setup.
new 5916017 Added SparseCoder estimator
new 52bbc80 Basic testing
new 2e3316a DOC: add missing split_sign in docstrings
new 9656faf FIX: 10% of features should be at least 1
new 2752c0f DOC typos in ensemble.forest
new a7764a9 PEP257 :)
new c1beb20 restore typo
new 6b018a6 Added SparseCoder to init and class index
new fced530 initial work on docs
new 20ba4fa implement noop fit in SparseCoder
new 826df8d clean up test
new 7fba5f5 Fixed doc links
new e9a6567 Fixed lena in example
new 28d9dce Fixed lena import in denoising example
new b4fe032 Merge branch 'master' into sparse-coder
new 3fac035 cleaned up imports in test
new e2bd616 Use M.dot instead of np.dot on sparse matrices
new 2aeec69 FIX: LLE mode='auto' for small matrices and tuples.
new cc1ba3b FIX: use .toarray() instead of .todense()
new 9576c9c COSMETIC: more readable syntax for mult. of sparse matrices.
new 49e7b0d OPT: (minor) remove useless determinant computation in FastMCD.
new 1a0f575 drop Python 2.5; no more with statements from the __future__
new 06de436 drop Python 2.5; no more need for utils.fixes.product
new 106648f drop Python 2.5; document and rm some workarounds for kwargs quirks
new f34db3d PEP257 cosmit
new 7d62369 Check for consistent input in Logistic Regression.
new 75ceb43 COSMIT rm some SciPy pre-0.7 compat code
new 98ead8a raise TypeError instead of ValueError in check_arrays
new 1f28be9 COSMIT docstring fix + US spelling in K-means code
new ac93562 cosmit
new 70f9c9f Update README.txt dependencies info to match the configuration tested on jenkins
new e0b6cd4 DOC I don't think Ubuntu 10.04 will be the last LTS release
new b88191b test @deprecated using warnings.catch_warnings
new 05006c0 COSMIT use utils.deprecated as a class decorator
new 4c8b15e don't use assert_in, not supported by nose on buildbot
new bc0c26e Revert "FIX: more python2.5 SyntaxError"
new c7373e1 Revert "FIX: python2.5 SyntaxError"
new 19705d4 COSMIT use urlretrieve and "with" syntax in LFW module
new e013191 COSMIT use ABCMeta in naive_bayes
new 1ec01bc COSMIT a few more easy cases of with open syntax
new 8e802fe rm Py2.5 compat factorial and combinations from utils.extmath
new 3797a75 use cPickle in spectral clustering tests
new 1de57fa COSMIT use Python 2.6 except-as syntax
new 582c431 Merge remote branch 'upstream/master' into gradient_boosting
new b1d269f n_samples > min_split instead of >= no division through zero in predict_proba various cosmits
new 528da65 cosmits (cleanup after profiling)
new 2e37f0e repeat decorator now with arguments
new f28ee57 modified 'gid' to 'git'
new 5aa7fc9 Merge pull request #461 from Balu-Varanasi/bug_in_rst_file
new 7017eb7 Fix svmlight loader doc.
new 5af9a05 DOC rm Methods section from KMeans docstring
new a66c0e9 Add arXiv link to Halko et al. 2009 paper.
new 3e78064 Merge pull request #463 from npinto/patch-2
new 772bef6 FIX - error in the bibtex entry - extra comma that makes bibtex fail
new c450034 Merge pull request #464 from NelleV/FIX_bibtex
new 3b5e6a6 Merge branch 'master' into enh/metrics
new 940f34a enh: added support for weighted metrics closes #83
new bbd8b71 doc: added description for matthew's corrcoef from wikipedia
new 493e20e sty: pep8 fixes
new e69c24d sty: pep8 on test file
new 8c052b4 doc: removed strange character
new 584a2e6 fix: updated tests to reflect that micro shows the same precision and recall
new cfcf42e Merge branch 'master' into n_samples_scaling
new d2b50d8 STY: prettify doctest
new 3ade680 fix: average with elif
new 9a6d934 doc: improved description of average
new a7afa5b ENH : adding scale_C in NuSVR
new ef76dba ENH: fastica returns whitening matrix "None" when whitening=False
new e8bc26a TEST non-regression test for issue 238, FastICA failing with whiten="False"
new d0854d5 COSMIT pep8
new 04db540 COSMIT pyflakes
new 25c93f4 COSMIT: pep8
new f29a652 COSMIT pep8 in backported sparsetools...
new 292da79 DOC Added Gael's explanations about the memory usage in grid_search / joblib to the docs (Hope I understood everything correctly).
new 9af02a5 DOC: Auto example digit classification plot without interpolation and axis.
new 2056428 FIX: typo in with statement
new 07c7182 Example for random dataset function.
new 2bd00c2 Random dataset example: make figure look nice on the web
new e9be1c8 DOC: Added random dataset plot to doc.
new 289b0d7 COSMIT: random dataset plot prettified
new da16658 DOC Added comment about equivalence of nu-SVM and C-SVM to the docs
new 57b4581 Examples: Replaced NuSVM by rbf SVM in example. RBF-SVMs are really important, NuSVMs not so much imho.
new c8afec0 pep8. whoops..
new e0f8a9d COSMIT: pep8
new 5dc49fc FIX: Return "None" fist.
new 8b0e18b Example for finding the hyperparameters in a RBF SVM
new 7fb3793 Examples: Make SVM parameter estimation look good on the web.
new ca3602d DOC: Fixed legend in iris svm example
new 488cbea Merge pull request #466 from amueller/svm_iris_example
new 36d0adb pep8 compliant
new 3578396 DOC Nonlinear SVM example changed to satisfy my sense of aesthetics. Hope you like it.
new a95ace9 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 5ad5207 COSMIT pep8
new 034ca3f Example illustrating parameters of an RBF SVM
new 81cc312 COSMIT removed unused import math in utils/extmath.py
new b086f9f FIX: make kmeans test not raise warning when init is passed.
new 8bae14d ENH : more contrasted colormap
new 28e4918 MISC: typos + subplot adjust
new dd0ce5b Merge pull request #467 from Balu-Varanasi/pep8-compliant
new dd6a56c cosmit
new b9d0a76 MISC: update joblib
new 6c4c2b1 BUG: fix joblib doctest
new 37c904d BUG: make the tests pass with numpy 2
new e385dae COSMIT
new deb136c FIX: make kmeans test not raise warning when init is passed.
new 0343627 DOC Description of the basic dataset API
new ad019b6 DOC: Corrections and additions to the dataset docs. Also more detailed docstrings for the functions loading the data.
new fa3c9dc COSMIT: prettify datasets docs
new b244f4b DOC test fix. Set printoptions to get rid of epison.
new 82d7783 FIX: whitespace after ..
new 0fb38ad DOC test fix finally....
new d353a96 Merge pull request #469 from amueller/preprocessing_epsilon_doctest
new 264cec5 DOC fixed fastica docstring: if whiten=False K=None
new 9592a98 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 8ec89a9 ENH : C scaling of sparse models
new 75672f1 DOC: start to merge statistical learning tutorial
new 04aa47c ENH linnerud dataset interface adjusted to be consistent with the others
new 7f544b1 FIX: typo in diabetes docs
new db74b53 Merge remote-tracking branch 'origin/master' into n_samples_scaling
new 4298760 ENH : adding missing scale_C in docstring
new f1d3374 Merge pull request #471 from amueller/linnerud_renaming
new 3baab22 Merge pull request #465 from amueller/fastica_wowhiten
new f119d22 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 9519c69 STY: PEP 257 in ridge.py
new de6e8a0 DOC RST field lists don't behave as I want them to:(
new c174764 COSMIT datasets doc using rst tables
new 5fd08bc Merge pull request #473 from amueller/dataset_whitespace
new e4a2916 DOC: Fixed broken reference to user guide
new badce0c Merge remote-tracking branch 'upstream/master'
new 8ec25b8 FIX This should fix the doctests in the datasets dir. They take quite long, I think it's because of the svmlight loaders. So I didn't include them in the standard make target
new 8a586e5 DOC: explicit the __init__ convention
new 1db82e3 Cosmit
new 96fe959 Cosmit
new 901e124 fast_svd: factor out the randomized range finder (more generally useful)
new 9c4325b Cosmit on randomized range finder
new 76ce924 Merge pull request #475 from amueller/datasets_doctests
new 2c3c2b3 BUG: fix RandomizePCA: renaming of fast_svd args
new 0f24736 DOC: scikit.learn -> sklearn
new 4378117 BUG: casting with numpy 2.0
new a33485f Remove useless benchmark.
new 2d734a1 FIX: broken benchmark
new 515a8e3 BUG: API change in fast_svd
new ae7e901 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 74251b9 COSMIT rst formatting
new e1325f2 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new e22429f Merge branch 'master' into sparse-coder
new b4ee207 DOC: Added missing rst label
new 50af0c3 track changes from master
new bb3e069 FIX: objective functions in Lasso linear model docs
new 695ce94 pep8
new 666c92b remove unused return_log keyword in GMM
new 9cef7eb Merge pull request #477 from jakevdp/gmm-fix
new 325d5ae DOC: correct ordering of returns in dict_learning_online
new 08df0d5 FIX RST references
new ae9a516 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 976c16e ENH : avoid global seeding in plot_polynomial_interpolation.py
new 05b4025 DOC: clarified dimensions in _update_dict
new f0bef20 ENH : clean up plot_feature_selection.py
new 0ed1fad FIX rst errors in docs
new ae26835 fix k_means docstring to better match the scikit naming conventions
new 2842f48 FIX doc rst references
new ca9472c ENH: Added feature importances to decision trees and to forests
new dcc2228 DOC Added link for Satrajit Gosh, removed dead link for Robert Layton since I couldn't find his website.
new 5d49086 Merge branch 'master' into n_samples_scaling
new a1b40bd Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 7980067 TEST: Added test on feature importances
new 1f42e15 MISC: FutureWarning on C scaling
new 0a4591b Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 3a51078 BUG typo in NB error msg
new e66fdff BUG/DOC: address manifold singularity issue
new d766775 EXAMPLE: Added examples for feature importances using trees
new a7bd476 DOC Robert Layton again.
new 171dae5 COSMIT: rfe examples
new c5b8fb8 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new e50c600 EXAMPLE: Improved plot_forest_importances.py plot
new 41e0c40 COSMIT: tree examples
new 6333184 DOC: Fixed links to modules in the example gallery
new a8c5a5a DOC: Fixed broken links
new 64adbca Implement mean_variance_axis0.
new 6db1ff8 WIP: n_init refactoring
new 8311b1b Fix bug with sparse matrices.
new b4838e7 merge master
new 13a0507 Fix the API and the scaling inside dict_learning
new 0d927f0 Cosmit.
new ac1c9aa Test edge case.
new e57aa2a tmp -> diff
new ab7b857 DOC: specify scaling in linear_model.rst
new 270fc7f EXAMPLE: Moved to the Olivetti dataset
new da4fb43 ENH: Accelerate ensemble of trees by precomputing X_argsorted
new ce59395 Merge pull request #481 from mblondel/mean_var2
new e5628f7 peping8 examples
new a232c23 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 3371f9e FIX: bootstrap=False by default with extra-trees
new 70c0aa1 Merge branch 'master' into minibatch-kmeans-optim
new 6759068 peping8 examples/applications
new 63f06a1 work on failing tests
new 3e75241 DOC fix datasets.load_digits example
new 38d8444 scale tolerance of minibatch kmeans on CSR input variance
new 5ef4a4d Merge branch 'master' into sparse-coder
new 10a16a2 EXAMPLES: Removed useless import
new 29fa29f delete broken example
new 5d06bee skip tests that were wrongly passing before
new 8636e32 ENH: Use extra-trees instead of rf
new 697653e Test for almost equal instead of equal in sparse_encode_error
new e78ae4a COSMIT: examples
new 5d6d9f4 Merge pull request #482 from DraXus/master
new f9aacba example script is not meant to be executed when building the doc as it is slow
new c6613e8 DOC fix datasets.load_digits example, second attempt
new 66796ca FIX: slices generation
new fde9807 Add score method to KMeans.
new 96618d1 DOC: add utility information for developers
new 96ea318 Move graph_shortest_path to utils/graph.py
new 0690438 remove duplicative utils.fixes.arpack_eigsh
new eb248b7 Move validation utils to their own submodule
new 384f4b7 Hide sparse_encode -- redundant
new 3aa5b12 DOC: add optimization objective to lasso and enet docstrings
new e9f432a DOC: make docstrings as good as I could
new 3a68704 Warnings and deprecation
new ae1785c Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 4c8aec3 typo: accross => across
new af05e76 Merge branch 'master' into minibatch-kmeans-optim
new 2f3cca5 typo: accross => across
new c696ad4 Use int for indptr and indices.
new a2bb3ff Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new da38d74 Use python int for indices and indptr of scipy sparse matrices to ensure cross platform support
new dc72cf6 Move uninteresting example to docstring
new adfae9b Make init less expensive by default on MinibatchKMeans to avoid dominating computation on large scale datasets
new 154fcc7 Added links and various cosmits
new 0c38141 BUG: example plot compatibility with older matplotlib versions
new a08d54e Merge branch 'example-fix'
new 51f74dd DOC: better cross refs and docstrings
new 5e0f0e9 DOC: Added fetch_olivetti_faces to Reference
new 794b7b1 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 5d47ce2 Sparse matrix support in KMeans.
new 382bea2 Merge pull request #4 from glouppe/dev-doc
new cf1c1f1 randomized_range_finder -> randomized_power_iteration
new bb03e8a Adapted examples for alpha scaling
new 093a2d8 DOC: Cosmits on the Support page
new 31582d3 FIX docstring
new 0572c56 Merge branch 'master' into sparse-coder
new 213e886 PEP8
new b448fe0 Vectorized news20 dataset loader.
new 43e9934 Change logsum to logsumexp for comparability with scipy
new e93482e Fix broken duplicated / tests and more practical init
new ea27e11 BUG: fix scale_C bug in svm
new 48a6500 ENH prettify kmeans vs minibatch kmeans example
new 8d5fd79 ENH adjust subplots to look good on the web.
new b2666d2 TESTS: remove deprecated NeighborsClassifier calls
new c3aa2d7 Merge multilabel branch with master.
new 621417e ENH: Parallel fit/predict/predic_proba/feature_importances in forest
new 1425e29 Check that LabelBinarizer was fitted.
new a835c8c FIX: Ensure random random_states
new 5885d0b Separate correction and reweighting steps from raw MCD computation.
new 00a9911 Add a set of tools and a new object for outliers detection (+ example).
new 281f5d6 Add tools to perform outlier detection with sklearn + documentation.
new ed0087a Clean working directory
new 745f981 Integrate AlexG's comments on doc and examples + add tests.
new d102afb Magnify novelty and outlier detection examples again + minor fixes.
new 26548f9 DOC: Move Parameters section outside objects __init__ method.
new 29c46c1 Example on real data (outlier detection on boston housing data set).
new a9acfca Fix bugs + adjust OCSVM parameter in outlier detection example.
new d898877 Cosmit: address Olivier's comments on examples naming.
new 361bfde COSMIT: beautify the plot_oneclass example
new 46cfacb DOC: outlier detection improve docs and examples
new 3b61fee DOC: improve outlier detection docs
new 5dc60ba API: h -> support_fraction
new f4b6f45 Cosmit
new 8975e8c ENH: use controled random numbers
new 494fb02 consolidating all cython utils for sparse CSR in the same file under utils
new 66d462f ENH: use pre_dispatch
new 3e6fd74 FIX minor typo
new 04612b5 FIX errors in doc
new aac994b FIX minor docfixes
new 7fdd8df added sparse coding example
new 6e7fd21 s/threhold/threshold
new a646e9a Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into sparse-coder
new 9a43b03 Merge pull request #456 from vene/sparse-coder
new c4d40ad DOC: Return->Returns
new 1648c21 Multilabel classification dataset generator.
new 56b3a3c Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 9c0e7b6 Add SparseCoder example
new 51fd2bb Remove duplicate definition in RST
new c1003f4 BUG: follow API change in outlier_detection
new 117be7e Test multilabel classifier on random dataset.
new e4c41ce STY : pep8 and add print __doc__ in plot_sparse_coding.py
new 3f7cec3 added kernel approximation using monte carlo approximation of fourier transform
new 233d3f2 ENH pipeline compatible interface to fit, transform and fit_transform
new 250a11f DOC example comparing linear classification, kernel svm and kernel approximation with explicit mapping.
new 94b4db8 kernel approximation example
new 158a897 DOC beautified kernel approximation example plot
new 84c775f better docs, remove unimplemented kernel approximations
new ab51317 COSMIT pep8
new 52063dc DOC added kernel_approximation module to docs
new 258176c DOC: placeholder entry in user guide
new c6ee39b ENH: renamed D to n_components for consitency
new f4fb0ed DOC approximate kernel functions narrative docs
new e6c9606 DOC: more narrative documentation for kernel_approximation
new 97cf930 DOC: references for approximate feature maps
new 7619894 COSMIT: pep8 in kernel approximation test
new e3a694c DOC approximate kernels: added formular for skewed chi squared kernel
new d111fe2 COSMIT removed commented out import
new 8380710 ENH: additive chi squared kernel implemented and tested
new a831a89 pep8
new bd5ffe0 DOC: added AdditiveChi2Sampler to doc modules
new f1c543f ENH: Default value for n in AdditiveChi2Sampler
new 4548fa0 DOC narrative doc for additive chi squared kernel
new 933c370 ENH: sensible defaults for RBFSampler and SkewedChi2Sampler
new 5bac125 ENH Added AdditiveChi2Sampler to feature_extraction __init__
new a6655c5 BUG: AdditiveChi2Sampler fit method should return self
new 3df0815 ENH: in Chi2Samplers, check if input inside inside desired range.
new 31a47b2 FIX: Renaming of RBFSampler argument
new 5ab3afc DOC: Move kernel approximation to be a "plot" example.
new 1dede23 Don't test as strictly so not to fail randomly..
new e40cd69 Example of decision surface of approximate kernel svm
new 972de6d Moving kernel_approximation to the top level
new 7d5c746 ENH: Restructuring User Guide: kernel_approximation, preprocessing and feature_extraction are under a common chapter, " "Dataset Transformations"
new 3e3136d DOC: finetuning the narrative docs for kernel_approximation
new 43b02ed DOC: kernel_approx make examples show correctly
new 2955c26 DOC rst
new 7525923 ENH Addressing some of Gael's comments, mainly naming and docstrings
new 48be642 ENH better testing
new 6f3263f ENH fixed location of the legend in kernel_approximation example
new eca01e8 DOC more discussion in docstring
new 44e9bae ENH timing results in approx kernel example
new 5959e7a ENH kernel approximation: More specific references and example referencing the narrative docs.
new 761eb3e FIX: use safe_sparse_dot in kernel_approx transform
new 0de5a1a DOC minor doc improvements, different example
new 7a8e3d8 NONSENSE improve the example that i'll remove in a sec
new e9982cd BUG import ...
new 23f12cb COSMIT + SPELL
new 4c8658c DOC added reference to the user guide in kernel_approximation module
new 79ad277 FIX path in plot
new a25d611 FIX typo that cost me half a day of sprinting...
new 39771fa ENH Remove redundant example
new e33d955 FIX fix module links, figure split into two
new 486cd55 COSMIT pep8
new 13e6917 MISC: update whats_new
new ad19fac DOC: cosmit in kernel approximation
new f30fafe DOC: removing dangling link
new d530fa1 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new a14d46d FIX: Kernel approximation module in references in alphabetical order.
new 3f330f2 STY : pep8
new a2774a2 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 4761dc3 COSMIT rename load_vectorized_20newsgroups + DOC + pep8
new 1f3262d scale_C will be True in scikit-learn 0.11.
new fdd73cf Merge pull request #8 from larsmans/news20_loader
new 28f947d Merge pull request #2 from mblondel/multilabel
new e51ceb1 WIP: scaling CSRs
new 7388915 Merge branch 'master' into minibatch-kmeans-optim
new 0a0d95f DOC: Cosmit on the reference
new cec10b7 ENH: Improved _parallel_predict_proba
new d32a220 FIX compat for errorbar legend for old matplotlib versions
new b8085fe BUG only handle labels specially in SVMlight loader + multilabel
new de41406 DOC trying to clarify the kernel_approx documentation.
new 9315187 DOC: add n_jobs to specs
new c4decfb Replace unmaintainable test
new 7dc1ea0 More robust test for lars_path
new 2ac0b02 Return bunch object.
new 51b6dea Rehauled SparseCoder example
new 6628bc8 Merge pull request #493 from amueller/kernel_approximation_doc
new c8fbfa6 Merge branch 'master' into sc-example
new 0b0d8d1 Add to class reference.
new ef6a563 BUG fix off-by-one error in SVMlight format loader
new 3fc6f14 Typo in example. Thanks Virgile for the cool example.
new f609c35 DOC multilabel learning: note that it's experimental + @mueller's remark
new a18fff7 DOC document svmlight file loader changes in changelog
new 9944b0d Added @vene's work to the changelog
new 07f8c6f DOC FIX typo
new 560c7e0 FIX docstring errors...
new 763af61 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new b5a6191 sparse coding transform is now a mixin
new a91b89a slight optim: remove useless assignment from the inner loop
new 86f909d FIX: numerical instability caused by collapsed allocation of bad clusters to the center of mass
new ff7e187 Add precompute_distances option back and export it.
new 2654a4e Merge branch 'minibatch-kmeans-optim' of https://github.com/ogrisel/scikit-learn into minibatch-kmeans-optim
new 2998a7c COSMIT reorganise utils tests
new ff4ca1c TST add test for sklearn.utils.extmath.logsum
new 9784dfd Address @ogrisel and @amueller's comments.
new 8197ca3 ENH: Assign chunk of trees to jobs
new ea2daf3 species datasets commit
new 2cbcc1e example tweaks
new 07b3690 FIX: missing import
new cb629ec Cosmit in metrics
new c57fae8 BUG: fix bug introduced in fd8c
new d819ebf ENH: Store the full cv_scores in grid_search
new b1a41dc clean up species distribution example
new 4683779 DOC: add alpha_ to attributes of LassoLarsIC
new 627bdab COSMIT: utils.fixes: document versions
new 16a2f6d misc
new 4a78dea FIX: fixed link to Virgile in whats_new
new ea5d8e8 randomized_power_iteration -> randomized_range_finder
new 0a8b6e5 api: changed pos_label to None for metrics
new 7f5a9ba STY: s/grid_points/cv_scores
new 680ea1e DOC copyedit kernel approximations docstring
new fdfd7b0 DOC kernel approximations, some last bits
new 00f2af5 Merge pull request #495 from vene/sc-mixin
new 30cdbb8 fix text position in example
new 91ae12b typo in fastica doc
new ac7cb28 DOC unbreak kernel approx docstrings (UTF-8 + s/References/Notes/g)
new e2a4a98 its
new dbbdbe4 Better doc for the 20newsgroup dataset loader.
new e65bca1 better documentation for the convergence stability example
new 8c396d8 Merge branch 'master' into minibatch-kmeans-optim
new 0083db3 Revert code that I erroneously changed
new 16ef900 Merge commit 'upstream/master' into util-docs
new 924c856 Merge commit 'upstream/master' into util-docs
new c85c890 simplify stability evaluation example
new d353331 enable the kmeans stability as an auto examples as the speed is now fast enough
new 377cc1e DOC: add toc for developers resources
new 5ebcd59 EHN: multilabel samples generator can create different number of labels per instance
new 959dee2 docstring in cython funcs + better var name: with_sqrt
new e2685b6 DOC: add warning that utils should only be used internally
new 0d8efb7 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into minibatch-kmeans-optim
new b791792 pyflakes test_multiclass
new 5c7b3f2 Do not use joblib's memoizer.
new 4b8b9fd Merge pull request #486 from jakevdp/util-docs
new ad53ecd Merge branch 'master' into multilabel
new 9970fe2 Add the samples generator to the references
new 8f7cfdf cosmit
new 572a7e3 use joblib for saving species data
new df4351d Merge commit 'upstream/master' into dataset-fix
new 75c30c6 merge master
new 3d2ea0d Use int16 for more compactness.
new 65a47a9 readd dtype and ccontiguous checks removed by mistake during last conflict resolution
new 8ad077d fix logsum test
new d7d99d9 ENH add multilabel_ property to OvR and raise NotImplementedError in score
new 3530efa Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into minibatch-kmeans-optim
new 17afd07 Merge pull request #490 from mblondel/news20_loader
new 9dac9c9 Merge branch 'master' into sparse-kmeans
new 0763ee8 Merge with master.
new e4a7eaf One more test.
new 856c56d Fix test.
new 71599e5 Merge pull request #488 from mblondel/sparse-kmeans
new 8f3c2c8 Remove old API change warning
new e705d94 Change depreciated behavior in feature agglomeration example
new cad0ee0 HACK: sphinx/prevent proliferation of build images in doc
new 0ce0f32 FIX: Added DBSCAN to references
new f29b29a FIX: typo in docs
new 216a012 ENH demo sparse KMeans on 20news set (it's slow!)
new 5832946 Cosmit in MiniBatchKMeans.
new fbab710 ENH: Added the synthetic example
new 400093f ENH: Really added the synthetic example
new 18a70f7 Merge remote-tracking branch 'vene/lars_multilabel' into multilabel
new ba475b1 BUG forget a return keyword in OvR classifier
new f41352e DOC describe test_ovr_multilabel better
new 6e619e2 Optimize for high dimensional data.
new c90571b TST extra test for LabelBinarizer's multilabel behavior
new e3163ed COSMIT set union in LabelBinarizer
new ac5b122 simplify removal of _images dir
new b322539 remove unneeded import
new fa74a6c DOC: add multiclass to class reference
new f2b282d DOC: add example to multiclass.rst
new 8c6cee2 Merge pull request #504 from jakevdp/sphinx-images
new 2da4474 BallTree -> NearestNeighbors in Isomap
new 42b47ac DOC: really add example to multiclass.rst
new 6c6d9e3 DOC: add image to narrative doc
new 97bf1ad Added missing space in PIL warning
new 87a85c1 Merge pull request #417 from larsmans/multilabel
new d38e3a7 ENH improve stoplist handling in feature_extraction.text
new 3359032 DOC: isomap fixes
new ed34ad6 convert LLE neighbors to NearestNeighbors object
new aba3020 BallTree -> NearestNeighbors in mean_shift
new ff517dd DOC rm References sections in docstrings
new 6155c97 pep8
new 8cd34b1 DOC update changelog
new 38f78a0 Variable renaming and dostring fixing
new 2108fcf merged with master logsum -> logsumexp
new 6a37e47 ENH: renaming estimated variables from self._variable to self.variable_
new b4d4a9f removed the decode
new 2826ac7 removed the decode in dpgmm and removed return_log in eval
new 412970a ENH: Cleaned after rebase and compatibility with hmm
new aad9a42 ENH: Removed X and z varaibles from dpmm cladd (should not ship the data)
new a965318 ENH:aviod initializaing GMM means with zeros
new a830ca7 ENH: more snsible initialization in case of divergence
new 54a11a0 BF: Mended the tied covariance estimator
new 9e21156 ENH: added multiple initialization to the GMM -- untested
new 0ced7a6 FIX: fixed collateral dammages in hmm
new ec3b839 DOC I broke the docs and I liked it
new d3954a3 added some tests to ensure that GMMs work in about all conditions
new 3fff256 COSMIT minor ticks
new 1a78610 FIX getting rid of some more sphinx problems
new 5be18b4 FIX: SO EINE SCHEISSE!
new af93a59 COSMIT fixing indents in balltree
new 1aa10ea Merge pull request #510 from amueller/aaarrrgghhh
new 09d8090 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 089c02c COSMIT "Examples" instead of "Example"
new de202d7 ENH: renaming cv_type and posterior to more explicit name + tested multiple init
new 6abd1c3 avoid changing the covariance when computing the Gaussian density
new 2ff74a3 Merge pull request #507 from jakevdp/neighbors-check
new a255ed9 COSMIT Addressing @agramford's comments about whitespace and a minor fix in pipeline.
new 9420b60 Add Andy to the author list
new d0ac763 Allow unlabeled samples in multilabel ex, collab between @vene and @mblondel on the plane
new 512c911 FIX typo that broke the test
new 1382b26 Use CCA as well in multilabel example.
new 355a51c FIX: Section Returns not Return
new e087daf COSMIT: Class docs don't have a 'Methods' section. It is autogenerated.
new ccb7493 COSMIT Examples not Example
new 6c17d0d COSMIT make 'References' bold and minor other fixes.
new 26a7934 COSMIT underscore fixes
new cd161e2 COSMIT "Optional Parameters" Section removed
new 61c2cee ENH make example more expressive
new 955fdf8 Change seed to make example behave better
new ae143a7 fix: xmin -> X.min() cosmit: unused imports and vars
new 122e8b4 EXAMPLE: renamed Frankenstein, set cmap in matshow
new 873b13d ENH: Forest -> BaseForest
new c730edc Merge pull request #512 from amueller/doc_consitency
new ce00c68 Merge pull request #501 from jakevdp/dataset-fix
new 0cf16dc merge master
new 3a67aa0 Removed unused imports in species dataset
new 75af061 remove useless dependency on pylab
new 18f4e56 fixed conflict in import resolution
new 1725ecb remove unused import
new 1006a65 FIX: Fixed a buf I introduced in dpgmm
new 7f53024 remove unused imports
new 5c6ea0c ENH: Added AIC/BIC + tests. Seems to work
new 96d6060 pep8
new 3a6e490 COSMIT pep8
new 4e46115 Merge commit 'upstream/master'
new 6bdc904 COSMIT: pep8
new 60971cd FIX developers rst malformed
new 5b492d3 remove unused link
new 874e2bd COSMIT remove unused malformed tag
new bd13d21 FIX indentation and string literals
new 0ebf87b FIX backtics for members_, spaces around colon (not cologne)
new b5be2ce COSMIT minor docstring stuff
new 116dc6e COSMIT remove Methods section
new c9aecfb FIX: rename complexity section into notes section
new b5d2282 FIX docstring variable names
new b03be4b FIX rename "Details" into "Notes"
new 511c370 FIX: validation is a relative package
new 2cf1ac7 FIX: py3k - more relative imports
new 5fecb53 FIX: py3k: string.letters is locale dependent and absent in py3k
new 57a90f8 Merge branch 'master' into sparse-scaler
new 1d01534 FIX remove infinite recursion
new 1fdbbfb WIP: feature scaling for CSR input (lacks some tests)
new 16f0864 COSMIT: Make references link and show up correctly, parameters of __init__ documented in Class, not in function.
new 760692e COSMIT make formulars show up correctly, use reference formatting for references
new 7cf021b COSMIT make references use reference formatting
new 6af9b01 COSMIT format references and dict stuff...
new ea4db67 COSMIT Indentation of formulars
new 1dab0e1 Cosmit in dpgmm
new 74b95bb merged with master
new f1f6fee COSMIT make BaseLibSVM an abstract base class
new 872e70d BUG input validation in kernel approximations + pep8
new fc91c53 BUG fix Vectorizer to play nicely with Pipeline
new 617d731 BUG Disallow negative tf-idf weight
new f116314 Revert "BUG Disallow negative tf-idf weight"
new 0e74917 PY3K fix in datasets.samples_generator
new f85e7be fix scaling, more tests and docstrings
new b0f221a Merge branch 'master' into sparse-scaler
new 2e0857a wording
new 708b61a FIX: py3k integer division in robust covariance estimation
new cd27709 FIX: py3k integer division in samples generator
new 8232d49 FIX: in py3k svmlight files must be explicitly opened in binary mode
new 826443e ENH: update joblib
new 68b7ca3 FIX: py3k bytes split in svmlight format parser
new 9fe13b3 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new bc18af3 FIX: py3k need explicit bytes buffers for svmlight format serialization
new 29c092d FIX: py3k need output file in binary mode for svmlight format serialization
new 8226a98 FIX: py3k: string formatting is not supported on byte strings
new 0f8b3c2 FIX: fix test: integers are valid file descriptors in py3k
new 33aca24 Changed the shape of spherical covariance matrices to be equal to disgonal covariance matrix, in order to avoir handling the dimension in particular
new 90a9ae6 Merge branch 'master' of github.com:scikit-learn/scikit-learn into gmm-fixes
new 86559e5 detail fixed in an example
new 03a4e3b Add missing reference.
new 9ad004f Break down fit_transform into parts.
new 59cdcc7 Merge branch 'master' into sparse-scaler
new b2dac63 FIX: unused cython variable
new 671f304 More checks when transforming sparse matrices with centering scalers + typo
new c4f38fa DOC: update narrative documentation
new cd09d87 DOC: Added reference for feature importance
new 6707fec ENH: Revisited importances API
new ab23e22 Merge remote-tracking branch 'upstream/master' into tree
new 83f693f EXAMPLE: Fixed API changes
new df8adf0 ENH: Missing default value for feature_importances_
new 7a8b4f2 FIX removed duplicate explicit linke for Vlad
new 600f685 FIX: RST indentation and blank lines
new b623aa0 FIX RST and references
new f57d254 FIX minor rst
new 432e7a4 FIX workarounds for docutils bug
new e5fb9e9 FIX whitespace where rst demands it...
new d6dc36b FIX workaround for table problem
new 78f64c5 FIX two more underscores
new 8a8c6eb optim: avoid useless memory copy when input is non CSR
new 51a1768 DOC: typo / wording
new 3efe8d3 DOC: document sparsefuncs cython routines in developer section.
new 235f274 MISC: improve copy_joblib script
new 7719b37 ENH: Integrate joblib 0.5.7
new db01ca9 DOC: wording
new 9c5a37b ENH: Added SelectorMixin
new 222dd20 DOC: wording
new 2f5b368 TEST: Added tests of transform
new 6ccbaa5 ENH: Simplified API
new 5ecb141 Hopefully clarified notations in dpgmm
new 951dffe DOC: Tree-based feature selection
new ba71108 ENH: don't sum if coef_ is 1-d
new 01f71f7 ENH: Inherits from TransformerMixin
new 986c43e PEP 257
new 228d91c PEP 257 (bis)
new b0d2771 ENH: address @ogrisel comments
new f3cb852 FIX: Used np.abs instead of ** 2
new b47666f DOC: formatting
new 2bab89b Merge pull request #515 from ogrisel/sparse-scaler
new 7808e63 update what's new for sparse scaling
new 37be658 Merge remote-tracking branch 'upstream/master' into tree
new eb760c2 ENH: Smart thresholds
new f9cbfb9 Cosmit
new aceaf72 PEP8
new 6c7496f Fix the docstring of the univariate feature selection module to match the scikit conventions
new 48c193d cosmit
new f6006f8 typo
new 45c5482 cosmit
new bb52a45 FIX: None and int comparison not authorized in py3k (in PCA)
new a234019 FIX: dicts no longer have the has_key method in py3k: test for the method we actually use instead
new 1bd911e FIX: make feature extraction work with the new py3k string API too
new 6a973dd FIX: py3k's zip is not subscriptable
new 17e06cc FIX: handle py3k exception API
new 1994ae6 FIX: previous fix for py3k str API in feature extraction was a bug in python 2
new bdfc019 FIX: pervasive use of unicode in feature extraction for py3k compat
new a3aa805 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into doc_underscores_for_real
new 169df41 COSMIT docs hmm
new bf0327a FIX: don't use latex in rst
new 56c9dc8 FIX + COSMIT rst warnings
new c8bc552 Many corrections in dpgmm to remove en-necessary loops (significant speed-up) + renaming
new 2e1040e COSMIT docs
new bed5f4c FIX: fix again errors in NMF after merge
new e56a242 DOC: :mod: link
new 5e5d797 FIX: Document properties in a way that the docstring actually shows
new 7177b3f FIX: rst errors in ball_tree
new ed7de9f FIX: Notes instead of Note in preprocessing init
new 5c997d1 FIX remove handles for references as they are not used anywhere and raise warnings if doubled.
new c8208ea ENH: no predispatch with chunk strategy
new 0c926b5 Fixed an example that happened to fail
new 6cd4ff6 Several details outlined by Jake
new 244dcab FIX: Address Gael comments
new 886a004 Merge pull request #478 from glouppe/tree
new f967f7e DOC: doctest bug
new 97c2533 Cosmit: example prettier without colorbar
new aaf9435 DOC: add links to examples.
new fdb98a0 DOC: improve univariate feature selection docs
new a595754 MISC: move SelectorMixin outside of __init__.py
new c78b1d2 OPTIM: minor optimization
new c1becdc MISC: better error message
new d73b24f COSMIT
new 8361178 TST: fix doctest
new e692a32 TST: fix touchy doctest
new 84a4d39 Merge remote-tracking branch 'upstream/master' into parallel-forest
new 2c510c4 ENH: Simplified parallelization
new 7799d3a PEP8
new a5db7f1 ENH: Simplified code
new 79cdf46 DOC: Quick docstrings for private functions
new 48a63de FIX: Revert changes
new da927fb DOC: What's new
new 1d1348e Update random forest face example to use several cores
new 7aedf4b Merge pull request #2 from ogrisel/glouppe-parallel-forest
new 0e646ef ENH: make ShuffleSplit able to subsample the data
new ad3de7f handled the eval on Null data
new 3a5476f FIX: Address @ogrisel comments (1)
new a6027a5 Merge branch 'parallel-forest' of github.com:glouppe/scikit-learn into parallel-forest
new 12d2913 COSMIT: avoid set_cmap and pcolormesh in example
new 9e9bd1c FIX: ensure fetch_20newsgroups_vectorized outputs CSR matrices to work with cross validators
new 9a46722 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 8d654ff TEST: Added tests of parallel computation
new e0c3eb3 DOC: Parallel computations in forest
new 96b4a12 TEST: Improved coverage of the ensemble package to 100%
new ab5fea0 DOC: Renamed example (+Parallel)
new 91b5bec Merge pull request #519 from ogrisel/subsampling-shufflesplit
new 13a1114 Merge remote-tracking branch 'upstream/master' into parallel-forest
new 8bb13d2 Merge pull request #491 from glouppe/parallel-forest
new ae564d7 DOC: Added missing BSD3 licenses
new 73e65c2 PEP257: docstring cosmits in utils.extmath
new 0f6c525 ENH: renamed fast_svd to randomized_svd + related improvements
new 4b60c02 Merge pull request #513 from amueller/doc_underscores_for_real
new ee4c204 FIX: incomplete test for inverse_transform in text feature extraction
new 83750ba improved computational speed by calling fast scipy build-in function and replaceing double loop
new 281e1d4 fixed some pep8 warnings
new 51024b9 Merge remote branch 'upstream/master'
new 1bb76e6 Merge pull request #521 from lucidfrontier45/master
new a174522 Cosmit in docs
new 124594d ENH: Better default values to trees and forests
new 64ea90b TEST: Added tests of max_features values
new b92ad62 DOC: Review of the narrative doc wrt max_features
new 00102c1 DOC: Added warning to default values
new 885a43a DOC: typo
new 0f2e443 Merge pull request #523 from glouppe/tree-doc
new 4946c62 DOC: fix broken doctest
new 4cc04d0 FIX: max_features=None by default on single DT
new 6b05ec8 pep8 in forest.py
new 26662bd pep8 in tree.py
new 10d1207 pep8 in kmeans tests
new 7ca1756 more pep8
new f09db8d more pep8
new 5443e19 FIX: heisen doctest
new 23909c7 DOC: readibility: make colon after 'Parameters' stay on the same line in reference documentation
new 8735140 FIX: Boston is a regression dataset
new c71dbdf oops, the last test is about classification, not regression
new c4b49bb COSMIT docs underscore fixes (again)
new 73b37a0 COSMIT fixing doc errors and making html docs pretty
new d1c8a39 COSMIT Minor beautifications and RST error fixes
new bb6e07c MISC: fix bibtex
new 0e7c16b Cosmit
new 3fb1bc6 FIX doctest errors + cosmit
new dfe3a2f Merge branch 'master' of github.com:scikit-learn/scikit-learn
new d2c3419 DOC use SVC in grid search instead of SVR. Iris is a classification dataset as pointed out by @agramfort here: https://github.com/scikit-learn/scikit-learn/issues/171
new 5ed5da5 DOC score returns accuracy, not error
new d8ae74f FIX for doctest I just broke :-/
new b917b13 More tests for nuSVR.
new bff621e DOC uncommenting doctests in balltree.pyx, addind doctest: +SKIP this is not terribly pretty in the source but looks good in the docs. I think this is a reasonable compromise.
new 208c2d7 COSMIT a little less skips...
new e286125 merged the master repo
new c2169fa FIX broken links to Rubinstein's K-SVD paper.
new 0e4886e Merge pull request #527 from otizonaizit/master
new d61ed89 FIX: Add reference (stop words)
new d4c4c6f Merge remote-tracking branch 'upstream/master' into issue349
new edfa3e9 Merge pull request #528 from glouppe/issue349
new 64ea6e5 fixed the function definition of cross_val_score
new 2a3c8f5 changed cross_val_score doc again
new 841d679 Merge pull request #529 from eickenberg/doc_fix
new 25c8d8d DOC: pep8, add quotations, and fix typos
new e33d8fc ENH Add underscores to estimated attributes in GridSearchCV and deprecation warnings.
new 567338f fix for doc math issue
new 3fa8271 TYPO: generate all images
new 96dcaf7 ENH: Make LinearRegression work with sparse
new 68a8b8b ENH renamed best_estimator and best_score in examples and tests.
new b9af16b DOC: update LinearRegression docstring
new 788b96e FIX: sparse LinearRegression with scipy 0.7.0
new ed0584f Merge pull request #532 from amueller/grid_search_attributes
new e4c44e8 COSMIT typo
new 2882b97 ENH in GaussianNB, let estimated parameters have underscores.
new 6cebdb5 added a cython module to the hmm
new a703048 replaced (T, N) -> (n_samples, n_states)
new c057dab eliminate `compute_importances` fit parameter - make `feature_importances_` a property that will be computed on demand.
new f8b8c2d Added an example with model selection
new e77ee68 Oups: really added an example with model selection
new 0faf870 ENH add label propagation algorithm
new 1543ba2 FIX: docstring
new fbc1bac scikits.learn -> sklearn migration in label propagation
new 4c44755 BUG don't pass estimator params to fit in label propagation
new df80486 initial_error -> init_error
new 12df639 max_features bug in _tree.pyx (check if < 0 and assume all features!)
new 4a70636 Merge branch 'tree-feature-importance' into old-gradient-boosting
new 83bedfd merge with master finally resolved!
new dac2e4f - renamed (n_samples, n_states) -> (n_observations, n_components) in hmm.py
new 0a92a94 ENH: mark coef_ as immutable for linear SVM models trained in the dual
new 54fcfc2 ENH: update joblib
new 1a62567 immutable coef for the sparse SVM variant too
new d7c313c mark liblinear coef as immutable too
new 3277b9e MISC: tag explicitely a dependency
new 1694a8f ENH: use joblib compression in datasets
new 58b2b57 MISC: tune test verbosity
new b9340e4 ENH: update joblib
new bbf65fc DOC Reworking Bayesian regression documentation
new bf8cc20 DOC mentioning sparsity of ARD, reblocking text
new a42c94f COSMIT typo, thanks @vmichel for pointing it out.
new d424973 DOC added reference for sparsity of ARD
new 436fcbe document the fact that coef_ is readonly for LogisticRegression and LinearSVC
new fda55b7 DOC: restore index on pages
new a24486b Merge pull request #526 from amueller/ball_tree_skip_doctests
new d869bf3 Merge pull request #537 from amueller/gaussian_nb_underscore
new da5d1d8 avoid a memory copy in coef_ property
new 26632b6 Merge pull request #541 from ogrisel/immutable-readonly-coef
new 6e250d3 DOC cosmetics in SVM docstring
new 2f64f0d ENH : reformatting hmm_stock_analysis.py examples
new c5c62e5 MISC : typos in hmm_stock_analysis.py
new 0b84a03 ENH : rename hmm_stock_analysis.py so it appears as a figure in the doc
new 7e70d19 Merge pull request #1 from agramfort/hmmc
new d58f2cf enh: performance enhancement by removing redundant computation of values - we use the state of `criterion` instead.
new 9ae9844 COSMIT reintroduce ABCMeta into BaseSGD*
new df19607 dropped "_c" suffix
new 5b00f44 BUG refactor SGD classes to not store sample_weight
new e85edc8 started work on gradient boosting docs
new 746d686 remove obsolete `sparse_coef_` doc string
new 954b390 remove reference to obsolete `sparse_coef_` parameter.
new 069bc0b COSMIT rm unused svm.base.dot
new 722fef6 BUG use ValueError in BaseLibSVM.coef_
new 070007f COSMIT pep8
new 5745b2e BUG update test for SVMs raising ValueError for coef_
new 5729aa2 DOC fix linking to load_sample_images and load_sample_image in docs
new 6e67a82 DOC underscores in DeprecationWarnings... shame on me for forgetting that....
new 35c1222 DOCs workaround for docutils bug (column alignment problem)
new 3e4b6df DOC external references go under "references" not "see also". "See also" can only handle internal references
new a6e7178 COSMIT remove superfluous imports in svm/sparse/base.py
new a04d701 FIX: broken link in SVM doc
new 60118bf FIX: issue #540, make omp robust to empty solution
new d335640 Merge branch 'omp-zerofix'
new 0a256ae DOC: Removed performance and utilities from toctree (they were appearing twice)
new 6cadc54 set coef_ to fortran layout after fit - this will enhance the test time performance for predicting singe data points.
new 9a98f73 added to whats new
new 2da6464 DOC: Fixed 'See also' in tree/forest
new 4ddf69e cosmit: more detailed doc string for why fortran style arrays
new 79f949e Merge branch 'sgd-fortran-layout'
new 06c48ff ENH: Removal of properties from GMM -- unfinished
new b43aa5b debugged _hmmc.pyx
new 552bc9d DOC: exaple for sklearn.test()
new ec72437 FIX: convert lena to float32 (originally it's ints)
new 2108f11 FIX: doctest
new a072187 Still some tweaks for the sklearn.test() example
new dfc7c5c Remove pylab code from docstring and +SKIP those that requie PIL
new f4eced3 BUG don't use deprecated attributes in GaussianNB.predict
new 0372ba7 FIX: explicit conversion to float64 in ElasticNet
new f977346 FIX: bug in elasticnet with precompute not being updated correctly.
new f2f8caa fixed proble of _accumulate_sufficient_statictics in hmm.py
new f4da029 Merge branch 'master' into old-gradient-boosting
new d0d595d ENH liblinear: cythonized sign switch for n_class<=2
new e52da1e removed feature_importances_ property in tree module
new 8c65e21 work in progress on GBRT docs
new 73a7f77 added script to bench sklearn gbrt against R's gbm package.
new 0777c6c cosmit: pep8 + comments
new b10226b fix: undo compte_importances property merge in forest module and examples
new 5427f81 ENH liblinear: get rid of n_class sign by switching class signs in liblinar implementation.
new 6a9a449 removed properties from dpgmm
new 8db0338 replace log_weights_ by weights_, which makes the API more consistent
new 68444c0 finalized KNN work, all tests pass properly
new fdfb531 Merge branch 'larsmans-label-propagation'
new bcd5e33 removed extra semisupervised folder
new 04a0ee2 polished the lp & test code
new af0feb9 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 691ac41 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into label-propagation
new e3ed8e0 Use rbf_kernel.
new 68236ab Add decision_function to ElasticNet.
new d581006 wip: narrative doc
new ded1e17 fix: table layout
new 9d638ec DOC: complete docstring for regression score function
new c0ed2af DOC: restructure docstring of ElasticNet.
new 895dc9c Changelog
new 2f08660 change version number to 0.10
new 4533aa3 Start of 0.11 development cycle.
new a2925ef Mailmap alias
new 5f5d994 And the winner is ...
new 187164a Mailmap alias
new 7c25674 And the winner is ...
new 446e781 DOC: links for people that have webpage.
new acefa36 restore original
new 7273da3 restored original version
new ffaeac9 restored original version
new 24c00b5 restored original version
new 4f47792 restored original version
new 50227d9 DOC: links for people that have webpage.
new d2aa4c6 ENHanced the multilabel example aspect
new 7b3d819 MISC: species distribution example plotted
new a3df4fb MISC: species distribution example plotted
new 2f79cb2 ENHanced the multilabel example aspect
new b5e928f Merge branch '0.10.X' into releases
new f6d4094 ENH: we are packaging releases so dfsg rules works on releases branch
new a8cef47 fresh changelog for upcoming 0.10.0
new 3207240 Adjusted dfsg and other rules to operate on sklearn directory
new f774f82 Merge releases into DFSG (pruning externals: joblib)
new 9ae5dd9 Merge branch 'dfsg' into debian
new 26ee247 Dropping cherry-picked fix up_release_sv_coef_memory
new 4b0ee77 refreshed the joblib patch
new 2729f06 Getting rid of properties in hmm, gmm, dpgmm
new 97cc3f9 DOC: typo
new 3d255e9 COSMIT typo
new 43887f1 COSMIT typo
new 049d4e4 2011 -> 2012
new 937cf13 whatsnew: gave myself some credit
new 8b11f3e whatsnew: gave myself some credit
new 420eef1 FIX: support for regressors in multiclass module.
new 34334f5 DOC: some documentation fixes.
new f371edd DOC: some documentation fixes.
new 094e2d0 ENH: better error messages
new b6f98fe remove deprecated Neighbors{Classifier,Regressor}
new a43a187 ENH raise ValueError in metrics instead of AssertionError
new fabb996 Python 2.5 compatibility dropped
new 05bd43e Operate on 'requested' not all supported Python versions
new 477bcf0 fix an error in naive bayes docs
new 32f611e Merge pull request #551 from fannix/master
new f748b23 Support for coef_ in OneVsRestClassifier.
new a7e5cc2 Mention multi-variate resgression support in Ridge.
new b2cba9f ENH intercept_ on linear OvR clf + change exception to AttributeError
new 55e3226 Merge branch '0.10.X' into releases
new 81599bb Merge releases into DFSG (pruning externals: joblib)
new d38004d Merge branch 'dfsg' into debian
new 79749fd Added 'set -e' to composite cmdline constructs in debian/rules to prevent swallowing errors. Thanks to Jakub Wilk for citing me the relevant exerpt from Debian policy ;-)
new 05c42cc Add safe_mask utility.
new 1a8e6e0 coef_ and intercept_ in LinearSVC are now writable.
new c988ad7 Add safe_mask to developer doc.
new 812b41c Typos.
new 63fea8b ENH : make metrics.auc work with 2 samples + add test
new 388e99d Create partial_fit and call partial_fit from fit.
new 1e534ce Add partial_fit to SGDRegressor.
new 944ff6e Partial tests + fix bugs.
new 7b62b29 Fix a few more bugs.
new ee5beef Use proper assertions.
new 5048670 Fix more bugs + tests.
new fec3557 Add decision_function to SGDRegressor.
new 869a02b DOC pep257, or "sentences end with a full stop"
new 789827a Multiclass tests.
new 0d48f49 Merge dense and sparse SGD implementations.
new 52a076b Re-enable sparse tests.
new f9701d3 Add deprecation warning.
new ab71276 Update docstrings.
new 00dceab What's new.
new e5c7ea7 Removed needless line.
new ffc51fe Merge branch 'master' of github.com:scikit-learn/scikit-learn
new f95e5c9 Merge branch 'master' into svm_coef_sign
new b804f52 FIX adjust _set_coef_ and _set_intercept_ to sign switch
new 6588974 ENH DenseBaseLibSVM.coef_ correct. test simplified.
new 60a5053 DOC try to document layout of dual_coef_ in multiclass libsvm
new 8852786 DOC fixed errors in load_images doc and SKIP'ed load_image doctest as was already the case for load_images
new 7912b65 DOC: OCD and added image loader to class reference
new 7ba791d DOC Trying to enhance the tree/forest docs. Headlines in tree, added reference, hopefully better description of 'min_density'.
new c716902 - removed unnecessary **kwargs specification in fit and _do_mstep methods - addad trailing underscores to estimated quantities. e.g. self.startprob_, self.transmat_, self.emissionprob_ etc
new 3228a53 Use only one epoch in partial_fit.
new 8717916 Use named parameters.
new 36c2dcb Updat examples.
new fb04a33 Update doc.
new 2c6866b Use only epoch SGDRegressor.partial_fit.
new 8ec3395 Save iteration number.
new 0117b60 More tests + fixes.
new aca8445 Fix bug when fit is called mutiple times.
new d712b03 Fix "what's new".
new 9478ac0 ENH input validation in DBSCAN
new d40666a DOC rm confusing line in BernoulliNB docstring
new 7599eff replaced deprecated "rvs" to "sample"
new 63ce5a5 Example on tomography reconstruction with Lasso for the gallery.
new 7414e37 COSMIT: PEP08
new f43236b Tomography example: PEP08, typos...
new e957a75 Reference to tomography example in narrative doc
new 6cdf7dd MISC: shorten a bit the description
new 810e7c0 DOC: fix image
new 0b026db FIX small stuff in new tomography example
new c978177 DOC: layout
new 1ac5fd1 factor out some common code in dense/sparse SGD
new 22aba1f prevent a copy in SGD regressor fitting
new 3bf7e92 refactor SGD, part 2: simplify parameter passing
new f9a7307 DOC: random selection of frontpage images
new ac14c74 DOC: compress a bit the layout
new ee8f828 DOC: shorten a bit the front page
new 19756dd DOC: avoid imgs taking 2 lines
new cb59fa2 Merge pull request #10 from larsmans/sgd_partial_fit
new 8aeb7a1 DOC: Add a few images to the banner
new 3a12976 DOC layout of dual_coef_ in 1vs1 svm in user guide, example
new eccb452 DOC fixed indices in dual_coef_ example
new d257e71 COSMIT factor out 1vs1 coef construction in libSVM, PEP8
new bbeec6d FIX: make sklearn.base.clone robust to empty params
new 65b7e4e DOC: fix wrong link
new bf6c7a4 DOC: avoid line return
new 6f66978 first stab at trying to wrap MurmurHash3
new ec20311 ENH: get the murmurhash to build properly
new e50415c Address @ogrisel and @larsmans 's comments.
new 5d18b0d pep8!
new e135962 Merge pull request #3 from GaelVaroquaux/murmurhash
new 7136ff0 FIX: y should be np.float64.
new 94717db Add filter_params option to pairwise_kernels.
new 1917b0b DOC: prettify ensemble docs
new ef92060 Precomputed kernel can actually be non-squared.
new b7ffb6b Use pairwise_kernels in KernelPCA.
new 778ed5d Merge branch 'master' of github.com:scikit-learn/scikit-learn
new bb6ee7d refactor SGD, part 3: factor out more sparse/dense common code
new 6a2f824 COSMIT rm no-op conversion in SGDRegressor
new 76035f2 BUG restore symbolic class label support in SGD + test it
new 72fc229 Merge pull request #11 from larsmans/sgd_partial_fit
new 4fb1dc4 More technically correct description.
new ffcc6ff small simplification in LDA
new 9438f99 DOC added RidgeClassifier to References
new 207cc74 DOC fixes in Multiclass docs. Didn't show correctly on web.
new 263d6c0 ENH merge dense/sparse LinearSVC, part 1: no more SparseBaseLibLinear
new 915cf0c DOC multi-class narrative: added links to the references, made citation clickable
new a9470d1 ENH merge dense/sparse LinearSVC, part 2: no more sparse.CoefSelectTransformer
new 498ed0e DOC: docstring update for dump_svmlight_file
new 9b0fbab ENH merge dense/sparse LinearSVC, part 3: deprecate sparse.LinearSVC
new 0b0bcfc ENH merge dense/sparse LinearSVC, part 4: deprecate sparse.LogisticRegression
new cd131ee DOC reference for logistic regression training with liblinear
new 278fe52 COSMIT refactor liblinear bindings
new db7271f TST merge dense and sparse LogisticRegression tests
new 152d225 implementation & test for the murmurhash wrapper module
new c80083c Export some public cython API
new 8b0fe8c DOC: add entry for murmurhash in the developer utilities section
new 8126e5f Rename _get_params() to get_params().
new 85032d4 Merge branch 'sgd_partial_fit'
new d5f02da Merge branch 'master' into merge-linearsvcs
new b223933 COSMIT fix ugly import, left over from LinearSVC refactoring
new 1908176 DOC put merged LinearSVC and LR in changelog + explain @mblondel's work
new f9d1efe ENH: add the ability to hash int arrays
new 4b6d1f0 Better docstring
new 6bbdd4b Use classes_.
new db2b556 BUG fix SGD doctest
new a713982 Merge pull request #561 from larsmans/merge-linearsvcs
new 4ac7686 Better title in README.rst.
new c6f17c0 Shorter cpdef function names + missing docstrings
new e33d41e DOC: give usage example
new 9c5ef62 test developers utilities as well
new 5c8d4e4 OPTIM: avoid unlikely np.int32 test upfront
new 558d727 Merge pull request #564 from ogrisel/murmurhash
new 98ec09b More intuitive warm-restart in SGD.
new 691e445 Fix doctests.
new a438087 warm_restart -> warm_start
new 438b3a6 More intuitive warm-start in ElasticNet.
new 9b27f68 Fix doctests.
new caae5c3 Copy in user-land.
new 67a72eb BUG promote type-safety in murmurhash
new 44abb43 Missing docstring in ElasticNet and Lasso.
new cf074b4 Fix failure in `test_bad_input`.
new eb55ec7 ENH trees in random forests save the indices of the training data used in bootstrap sample
new b5dd4a3 BUG: restore score functionality in grid_search
new 0844118 ENH: refit now works in the GridSearchCV
new 0973860 ENH Add function to predict on left part of training set
new a83bc7e ENH use self.classes_, check input on predict_oob, add test
new 1afd7cc DOC Out of bag error estimates in grid_search module
new ba39918 COSMIT @glouppe says this is more pythonic :)
new cb272e1 DOC reformulation out of bag error
new de16cb4 BUG make coef_ 1-d in Naive Bayes for binary case
new eac110f COSMIT in doc: @ogrisel's remarks
new cb0a9d7 ENH oob score as attribute, not separate function.
new 287f6e3 Revert change on svm.base.
new c4be24d BUG replace assert by custom exceptions
new 7e33fff ENH: added oob_score_ and oob_prediction_ to regression ensembles
new d21ef4f Remove if statement.
new 835439f Suppress deprecation warnings.
new 6c07fc9 Merge branch 'master' into gradient_boosting
new fecea5f FIX copy/paste error. guess it was to late
new f8ebc29 Merge branch 'warm_start' of github.com:mblondel/scikit-learn into warm_start
new 0ae85d2 Make sure order="C".
new c912ab0 COSMIT refactor SGD code further
new 8e83572 Revert "COSMIT refactor SGD code further"
new 58b348e Merge branch 'warm_start'
new 11f4c07 Fix doctest.
new 1b81d3b Mutual Information docstring incorrectly said it was the adjusted mutual information
new 015da64 ENH made oob_score an ``__init__`` param as suggested by @agramfort
new 06ba0b3 Fixed data.filenames consistency issue when 'all' specified for 'subset'.
new 7d1782c Added basic test for filenames consistency when all specified.
new dca709b add old version warning
new 3604565 add newline at file end
new cc567ee DOC what's new, minor doc improvements
new 9a31dac Merge pull request #571 from amueller/tree_indices
new b28e6e4 ENH: Replace asserts by appropriate errors. Fixes the rest of issue #570.
new 330c1f3 COSMIT how I love these sphinx errors
new 3785b2a DOC complicated objects as parameters confuse sphinx and the reader. Fixes issue #567.
new 2ce7a79 ENH: Default in Vectorizer "None" as @ogrisel suggested
new ebb42e7 preprocessing/__init__.py -> preprocessing/preprocessing.py
new c9d27f3 Move preprocessing.py to sklearn/.
new 54f5425 fixed a doctest
new aeb868e made `sample` also return the sequence of internal hidden states
new 0022655 FIX: broken build / tests
new e4bbaf6 added doc for hmm
new e778f7b variable name changes, using premade functions, doc fixes as per @larsman
new 58433a7 variable name changes, doc corrections (@amueller's requests)
new 794a31c removed unlabeled_identifier, updated tests and examples to reflect this
new 3fb76f3 corrected example that still refered to unlabeled_identifier
new 4fa5e29 optimization that stores the spatial index when using knn graphs
new 4d53343 Merge remote-tracking branch 'larsmans/typesafe-murmurhash'
new bd78f63 DOC website: added link to 0.10 docs under support.
new 2695c7f DOC added required versions of python, numpy and scipy to install documentation. Closes issue #579
new 2d6fde0 updated rst docs with kernel information
new 213f0a2 shuffled digits example, added sensible point colors to plot chart, removed fix for unsupported numpy api
new 7e837b0 docs describe the different kernels available in techniques
new 268aed6 TL directory change to push label propagation code into semi_supervised
new 32efba5 FIX: MurmurHash3 compilation on older GCC
new 0d54938 Merge branch 'master' into gradient_boosting
new 8b7b620 test_oob_score_regression oob_score below 0.8 if n_estimators < 50 removed raise exception on underflow error in gradient boosting - random forest test breaks.
new cb00e97 COSMIT pep8
new 59db66e Refactor in KFold.
new 24477d4 Cosmit: remove unused imports
new 5c2a869 COSMIT removed unused imports
new ad288a3 changed ``n_iter`` to ``n_estimators`` and attribute ``trees`` to ``estimators``.
new 16c5ed0 added artificial dataset generator from Hastie et al. 2009, Example 10.2
new 91a36a3 wip: narrative doc for gradient boosting.
new 2d6e484 fix: wrong assertion
new 8648cfe renamed estimators to estimators_
new 46ff908 wip: narative documentatio for gradient boosting.
new 3077ace fix: import numpy in doctest
new 81dca03 ENH: Some cleaning in the examples
new cbdcb2b ENH:pep8
new 77d83b6 Remove CoefSelectTransformerMixin and use SelectorMixin instead.
new 362852a Better default threshold for L1-regularized models.
new ddc74e5 euclidian_distances is to be deprecated in v0.11.
new 3b8f54e Add n_jobs option to pairwise_distances and pairwise_kernels.
new e14fb73 MISC: fix bibtex
new c22e719 ENH: enforcing skls conventions
new 9687df4 A pass on the docs
new 88f4849 turn off old version warning
new dcb0d2f add random_state to LocallyLinearEmbedding
new 89ad0c7 initialize indices and distances in balltree
new bcb129b check random state in _fit_transform
new 889075a Address Issue #590 : use relative path link to about.html
new d1dd073 Merge commit 'upstream/master'
new 6e51321 ball_tree: more efficient array initialization
new 62f8e03 add info about valgrind to dev documents
new 423cb6b Merge pull request #587 from jakevdp/arpack-init
new bc35aa3 corrected the doc for dpgmm
new 7d1e581 Set the download link to PYPI.
new f548fce Merge branch 'enh/metrics' of https://github.com/satra/scikit-learn into metrics
new 2fa7a09 Backward compatibility in precision, recall and f1-score.
new f62398b Factor some code.
new c68f4f5 Merge remote-tracking branch 'upstream/master' into enh/metrics
new 28a40df Merge remote-tracking branch 'mblondel/metrics' into enh/metrics
new c34bf09 Added a note to the install documentation
new 689931c Merge pull request #443 from satra/enh/metrics
new 1fb883e Merge pull request #591 from jaquesgrobler/doc_update
new de88672 More what's new items.
new bc6255e ENH merge sparse and dense SVMs, part 1
new 72707ab ENH merge sparse and dense SVMs, part 2
new 41ba56f ENH merge sparse and dense SVMs, part 3: adapt sparse tests
new 3d12a74 DOC merge sparse and dense SVMs, part 4
new 6062a2b Added a note to the contributers documentation
new 8d066b9 Merge pull request #576 from larsmans/merge-svms
new e8a3cb0 Shorted the long line
new d582395 Merge pull request #593 from jaquesgrobler/doc_update
new a47d184 DOC improve intro to Git in the developers' documentation
new 65402be Fix what's news.
new e786ac5 Merge branch 'master' into svm_coef_sign
new 90369a8 DOC comment in linear.cpp
new bd4fabc DOC @ogrisel's suggestion: putting a link to pull request in liblinear.cpp
new 77f3fec COSMIT pep8
new a1ba062 Merge pull request #588 from jakevdp/balltree-fix
new bc776db DOC fixed doc errors in metrics module
new 85e986c COSMIT removed unused imports
new 5e3ea55 Add Perceptron.
new bb1be4e Add Perceptron to document classification example.
new 037b641 cosmit in memory debugging doc
new 6ee1dd4 Minimal documentation.
new 6fb7243 DOC rm unused param from sparse.ElasticNet docstring
new c5aed1d added __init__.py file to semi_supervised folder
new 8f0326d Current version -> Latest version
new 60cdaa7 Merge commit 'upstream/master' into old-version-warning
new 16d7857 set warning margins to zero
new ca8334a Updated docs for label propagation, added more technical details about regularization procedure
new e585485 specific fine tuning to the label propagation docs
new a6fdecd Merge pull request #546 from amueller/svm_coef_sign
new 46aa934 Add references and implementation details.
new d41f89c Propagate parameters.
new bb7ed64 Expose more parameters.
new 4af253b Explain parameter in Hinge loss.
new 61fd058 Don't rescale coef if not necessary.
new 1f205e3 Quick note on sparsity.
new fe5c85b ENH: make LassoLarsIC more reproductible
new 900c97f doc updates & tweaks
new 729a4c2 fixed typo in test code
new c07a041 added AISTAT ref to docs
new a8a4948 added AISTAT ref to rst doc
new d23e653 BUG: fix test_precision_recall_curve
new ee4dd2e fixed bug causing error on sparse input data
new 5464a0b Don't break API in precision_recall_fscore_support.
new ea86b7f Pep8!
new 6d8b8a4 Fix scale_C warning.
new 17ae146 Merge branch 'perceptron' of github.com:mblondel/scikit-learn into perceptron
new 77ca09e t -> threshold
new b0c119c ENH: Add randomized lasso
new 11aaf98 ENH: randomized_lasso example: multiple alpha
new f7ca7b3 Better randomized_lasso
new 6522b82 Jacknife in randomized_lasso
new e4919e6 Add a randomized logistic
new 5bc3f51 COSMIT: pep08
new f3dbcb4 ENH: Add pre_dispath to RandomizedLinearModel
new 3746eb6 ENH: RandomizedLinearModels transformers + memory
new b1f5975 fix with new as_float_array
new 777bb07 STY: pep8
new ab4c418 mv randomized_lasso.py randomized_l1.py
new 0dbd7ad ENH : some doc + renaming in RandomizedLasso
new 7ba93da ENH : better plot_randomized_lasso.py with score path
new 9c7deea ENH : prettify plot_randomized_lasso.py
new f3423f8 ENH : creating lasso_stability_path func + adding tests on randomized_l1
new 640400d ENH : add docstring to RandomizedLogistic
new bcf80be FIX: fix test_randomized_logistic
new 52e9896 BUG: fix broken merge
new c2341b0 s/jacknife/jackknife
new 0af96c0 STY: s/a/scaling + adding docstring
new 19331b5 DOC : adding doc for Randomized sparse linear models + fix test
new b275030 ENH : adding sample_fraction to lasso_stability_path + add to doc
new 815725e typos
new 66d7b26 cosmit in doc + pep8
new 53b003d cosmit in doc
new 331aa5b ENH : addressing @ogrisel comments (PEP257, naming, see also)
new 89a43ce DOC: rephrase rand linear model doc
new 45ae9a9 ENH : fix docstrings + add func missing reference
new c3a2faa ENH : center y too in _randomized_lasso
new b1ab2ce ENH : adding support for multiple regularization parameters in RandomizedLinearModel
new 6fccfef MISC: removing one XXX
new d99e27a MISC: inherit from BaseClassifier
new e1dacc6 BUG: parameter was not set right
new 95e5350 DOC: Improve feature selection docs
new 5e840ac DOC: try to improve randomized lasso example
new a47773f ENH: numerical stability in LassoLarsCV
new 56f5931 DOC: update dostring
new 2b1df1f ENH: grid in terms of alpha/alpha_max
new b0b3406 DOC: nicer path
new c33756b DOC: beautify feature_selection docs
new 41a4863 ENH : early stopping in lasso_stability_path (faster)
new afb6dea ENH : fix legeng of plot_randomized_lasso.py
new 6ada8de DOC: cross-reference linear_model and randomized_lasso
new 2b08a0d DOC: enrich example docstring.
new 023d8e3 pep8
new 51cf742 DOC: better example for randomized lasso
new 2350402 MISC: make sure two figures hold on a line
new db1a212 DOC: example and docs for randomized-lasso
new a882bed MISC: address @ogrisel and @mblondel's comments
new 5e0f82b Cosmit
new 209d23d Merge remote branch 'upstream/master' into gradient_boosting
new 42114d9 FIX RandomizedLogisticRegression test import
new 06d1d3b COSMIT removed unused import
new a77f9ed DOC fix sphinx errors
new 2588a3c DOC more fixes in Docs
new 9e036a6 MISC: add randomized linear models to what's new
new 2588335 DOC cluster metrics: fixed see also sections, errors in references section.
new b4201fe BF: Avoid two consecutive centering of the data in outlier_detection.
new 8d8496a Add mean_squared_error and deprecate mean_square_error.
new 8e686be Don't raise warning when passing explicit scale_C=False.
new 19fcb70 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new af5037a DOC: scaling regression targets.
new d079dde FIX: bug in DenseBaseLibSVM when subclasses implement new params
new beda3f4 FIX: inheritance in DenseBaseSVM
new af34030 Added a small note about the use of an upstream remote in the Contributions documentation
new 95aa2f2 Shortened a line in the code
new 860a862 allow for multiple nuggets in gaussian process
new c5f36de example + documentation of gaussian processes on noisy data
new 83935b3 Merge pull request #602 from jaquesgrobler/doc_remotes_note
new 613ca44 Merge remote branch 'upstream/master' into gradient_boosting
new e79552d use mean_squared_error
new c2eb12f added new mean_squared_error to metric imports
new ee2186f Merge remote branch 'upstream/master'
new 7792b36 Merge branch 'master' into gradient_boosting
new 88d9b09 ENH: use linear gradient cmap for more readable hyperparam heatmap
new 125aa04 polished narrative documentation. fixed doctest.
new e2e7d51 cosmit: fix doc format
new 6208198 cosmit: fix doc format
new aa3a161 COSMIT pep8
new 3a172f3 FIX SGD loss example for new hinge loss.
new 46db486 FIX lasso_dense_vs_sparse_data.py example needed update.
new 1cf592e BUG: make clone work on 2D arrays
new f686cd2 TST: add a test for bug fixed in previous commit
new 86a3de7 corrected the documentation and add semi-supervised section to the user guide
new e3fe334 placed semi-supervised under supervised learning techniques in user guide
new dcfc124 COSMIT: make the plot landscape
new e4dc6a7 DOC: improve the label_propagation docs
new adc5201 COSMIT: authorship and licensing info
new 010b5d1 Cosmits
new 7f62f8c DOC: minor rmk on label_propagation
new b774b27 TEST: assert -> nose.tools.assert_equal
new b36beb4 Merge branch 'label-propagation'
new 649bbce BUG: fix typo in tests
new 6c6197d DOC: update whats_new
new b1e82a0 BUG: fix tests under numpy 1.5
new 23f61ae docstring cosmits and typos in label_propagation.py
new 3242c6a removed get_means, set_means, get_weights, set_weights
new e1938f9 ENH: renamed plot_gmm_model_selection.py to plot_gmm_selection.py
new 78e1b6a fix error in unwhitened case
new 4f55d52 TEST: add a test for whitening in ICA
new fa67019 PEP8
new 62430eb ENH: control random state in ICA
new b4717b6 Merge commit 'upstream/master' into GPML-fixes
new 35f9dfc DOC: expand nugget explanation; combine two GPML examples
new 8bdf267 COSMIT pep8
new 02650c4 Merge branch 'WIP_tut', remote-tracking branch 'gaelVaroqueux/stat_tutorial' into WIP_tut
new 8c490c7 COSMIT abstract base class in univariate feature selection
new 3acc19e Fixed the doctests in hmm
new a167b36 COSMIT:pep8 in hmm
new c217766 DOC add cross_val_score to references, OCD.
new 19f17b3 BUG: SVM raw_coef_ must be fortran ordered.
new 1ace675 BUG: missing subpackage svm/sparse on setup.py. fixes issue #559
new ed6164d MISC: cosmit: use subpackage setup.py
new 0177e7d Corrected the docs
new 7c5518b ENH: changes in the code to fulfill Gaels requirements
new 91164d0 Merge branch 'master' of github.com:scikit-learn/scikit-learn into gmm-fixes
new 907f897 ENH:Added back rvs as deprectaed and updated whatsnew.rst
new 81c3f9f Merge branch 'master' into gradient_boosting
new dc16faf FIX bug in text feature extraction, issue #606
new 5e92beb ENH sublinear tf scaling in TfidfTransformer
new ae83ab7 ENH: fixed the GMM docs
new b6ad55d ENF changed INF_EPS to EPS in hmm too.
new e61e910 DOC s/with dense data// in merged SGD module
new 3922816 refactor SGD regression input validation + doc fixes
new a87936d - fixed typo in hmm.rst - pep8 on hmm.py and plot_hmm_sampling
new ad50075 DOC: reorganize GMM docs
new ac62e91 DOC: reorganize GMM docs
new b187b9e DOC: more examples for DPGMM
new 7c4f418 Cosmit
new 4faf20e MISC: remove custom __repr__
new 531dcf2 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new c8eb019 BUG: fix doctests
new b8d134d Removed single k-means run to it's own function to enable optional parallelisation later.
new 1520ad3 Parallel version of k-means.
new 1f98e35 pep8 and pyflakes tested
new b26f03f Not doing a full sort for getting the best results Fixed docs slightly.
new 54361dc Updating random_state inbetween iterations of k-means fixes some issues
new e9db8c2 useless imports
new c0bb78d simpler random seeding scheme for parallel kmeans
new ee32fda less hacksih parallel random state seeding
new 44afb23 Doc updates
new 0726912 Fixed author reference (removed link as it wasn't working)
new 1d1c1a5 Added my twitter account as homepage.
new 20d85cc ENH: optim hierarchical: heapq in tree traversal
new 545f321 ENH: hierarchical: speedups in tree cut
new 08a8252 MISC: clean up old c file
new 48021c6 MISC: assert -> raise ValueError
new 0220e18 BUG: typo
new 71fb671 MISC: fix broken link to example
new 4aa627a made `sample` also return the sequence of internal hidden states
new 3b2338c rebased to the master and fixed conflicts
new eff6a32 bug fixed
new ec16c9e fixed _do_viterbi_pass built-in `reversed` does not return list but and iterator.
new 2722fea ENH: parallel in lasso_stability_path
new c3d8cd7 - Further integrated tutorial.rst (Section 2 in Userguide) with links to supervised and unsupervised learning. - Added a tutorial menu page to the user guide as Section 2, making the old Section 2 a sub-header thereof. - Added the Scikit-learn tutorial of Gael Varoquaux to the tutorial menu page NOTE: the scikit-learn tutorial will, once fully integrated and linked up move down to become point 2.3 as Oliviers tutorial will be merged in as point 2.1 - NOTE [...]
new 7fa3485 API univariate_selection: _scores -> scores_
new ea5f0f3 COSMIT pep8
new 4ef2a86 DOC fix sphinx errors
new 0e83123 ENH: moved class_weight parameter in svms from fit to ``__init__``.
new 45f189d fixed doc
new cefd76d fixed typo
new b7be62a factored out weight vector class; dense SGD now uses ``WeightVector`` instead of explicit ndarray and wscale.
new 36fa40a MISC Adjusted class_weight param in examples, fixed legend in unbalanced dataset examples.
new 62c5420 enh: performance of WeightVector now comparable to explicit weight vector. some cosmits in dense sgd extension module.
new a620e55 wip: sparse sgd now uses WeightVector - there are some broken tests tough.
new 81db2e1 Add Satra to the AUTHORS list.
new 00fbd25 ENH changed naive bayes' self._classes attr to self.classes_
new 28f9b4c wip: still hunter sparse sgd bug
new 1bf502b fix: forgot to scale by wscale at the end of dot_sparse. All tests are green again!
new 654a39c ENH more generic dict-like test in CountVectorizer
new 94dc280 ENH: update joblib to release 0.6.2: bugfix
new d2ee677 added new sgd dataset abstraction to unify sparse and dense implementations.
new cc8489b Merge branch 'master' into sgd-refactoring
new f09b881 DOC typos in whats_new
new 36a4c37 major refactoring of sgd module::
new a9b8cc6 Fixed docstring to reflect current code in precision_recall_curve. 1. It has n + 1 values for precision and recall 2. It adds a "fake" point with precision = 1. and recall = 0. Signed-off-by: Brandyn A. White <bwhite at dappervision.com>
new 15bdcdf Merge pull request #613 from bwhite/patch-1
new 231f4e2 MISC: remove joblib from .gitignore
new 2417504 BUG: add missing file in joblib
new 8306c1e DOC typos.
new 0376895 replaced function call of decode to predict
new 2cb344c round numerical results for better stability of the doc tests
new efc5bfe use Py_ssize_t where appropriate; cosmit
new 24ea7e7 MISC reinserted class_weight as fit parameter, added deprecation warning.
new 16727b4 MISC cleanup
new 2c79bdf DOC margin for old warning wrapper fixed
new d63f03f Merge pull request #6 from amueller/old-version-warning
new a5d07cf fix link in warning
new f6deb73 removed pure python codes and beam pruning options
new b35c19a Added change history to what's new
new a86afb7 updated author and pep8
new ea5d4d5 latest version -> latest stable version
new 33dc483 modified phrases in what's new
new e42bdc1 MISC Deprecated class weights in SGDClassifier
new 5d363de Merge pull request #578 from jakevdp/old-version-warning
new c385655 pep8
new 04af4cb COSMIT pep8
new cf2f3b4 use internal dataset fetch + switch to SGDClassifier for faster execution
new 1d45c77 COSMIT get rid of warning in nosetests for equidistant neighbors. it's intentional.
new 55bb67c typo + cosmit
new b504ae4 avoid pl.set_cmap and align colors of colormesh with scatter
new c7eaf3c started work on utility function for quick train test split
new 8666a46 more doctest
new 1f9f3b3 moved tutorial files into separete folder within main tutorial folder. added folder for section2 tutorial. fixed some links.removed savefigure from plot_cv_diabetes.py
new 0e5e0e3 Merge remote-tracking branch 'origin/master' into WIP_tut
new 6f86062 DOC typos
new b981f56 DOC typo
new bf1cb6b MISC more sensible NMF test.
new 9c330c6 COSMIT pep8 wooops thanks @ogrisel
new df2a786 MISC forest tests: boston faster, probability test faster and no warning.
new 275cc33 add parameters in docstring
new 9e8a904 MISC decision tree test faster and no warning
new 0fe3117 COSMIT simplified error message checking, remove deprecation warning.
new 24e2736 DOC: narrative doc for train_test_split
new 106a6bf add tests for invalid argument + fixed a type error
new 1973e3b more tests
new 637b22d MISC more iterations for test_lasso_path. Still runs in <.1s, gives no warning and more accuracy.
new 2cc634b MISC more iterations also for test_enet_path, same runtime as before, no warning.
new b424c58 typo
new 14b0759 reworked nested grid search example for better doc and output, use train_test_split and add more cross links
new 8abda3a DOC: related improvement in GridSearchCV doc
new ba69aba DOC: more cross references
new 77b9bdc cosmit
new 3de41cf DOC: what's new
new ca2f9ec Merge pull request #618 from ogrisel/train_test_split
new 29a302a COSMIT pep8
new 5f4ca06 FIX: make LFW data shapes consistent with Olivetti faces
new 1be1f71 ENH: more informative exception message
new f0dc611 API: set scale_C to True by default in libsvm/liblinear models
new 67c2518 update what's new
new d41768a DOC : add warning in docstrings for scale_C gone in 0.12
new ed90bc5 DOC: indent pb
new 366ceb2 DOC: update scale_C docstrings + add notes to svm.rst
new 734eaae ENH : use not(scale_C)
new fa26e89 remaining docstring to be updated
new 7441db8 update docstring with WARNING
new d0f7e8a Merge pull request #601 from agramfort/scale_C_true
new ad8e491 TST: use assert_true instead of assert + remove some relative imports
new da4651f COSMIT pep8
new 93213fe FIX added missing import
new 4d652d1 MISC added warning to coordinate descent if alpha=0, don't call cd with alpha=0 in tests.
new be62145 MISC replaced deprecated mean_square_error in test.
new ed34b09 use Perceptron and quick splitter
new 33d60cc BUG: follow API change in example
new 4017ade Merge remote branch 'upstream/master' into sgd-refactoring
new 6f914f3 cosmit: better docstrings for SGD
new a71dd04 MISC test for warnings as @ogrisel suggested.
new 78b2665 DOC: fix a few incoherencies in ridge.py
new 559dcbb - added decoder selection - some doc fix
new ad5b966 Merge pull request #623 from npinto/ridge-docfix
new b5993ee updgrade to new scikit-learn API
new 2598f66 make sklearn version dependency explicit
new f7fd043 C is now scaled
new af521b5 Merge remote branch 'upstream/master' into sgd-refactoring
new d1a87f9 COSMIT refactor SGD with Dataset factory function
new a04681b COSMIT rename _mkdataset function in SGD
new dfd6bea fixed some typo, doctest and pep8
new 88f35b4 added comment on decoder algorithm in the rst doc.
new 1be8865 DOC: improved SVM docstrings
new 467f6ab Merge pull request #620 from amueller/coordinate_decent_alpha_warning
new dd1d636 add min_leaf (minimum size of leaf node) to decision tree
new 614f657 ENH min_leaf for ExtraTree
new 5d40322 ENH added test for "min_leaf"
new c4cf4a9 ENH set min_split if min_leaf is set.
new ba7f9a0 typo
new 3c4ece6 FIX: typo for default init_size in MiniBatchKMeans
new e93fbbb Added tests to check for the correct value of init_size
new df17c4e Merge pull request #628 from daien/master
new fb34320 DOC add load_svmlight_file to references
new b2eb6b3 DOC minor fixes and typos
new c6c011d DOC more rst fixes....
new 365f674 DOC typo in whatsnew
new 868eac1 Merge branch 'master' into svm_class_weights
new 3647f1f DOC renamed duplicate label
new 5e33d10 Merge branch 'master' into WIP_tut
new d429b68 feature_extraction/text.py: 'ignore' removed as a default, class param instead with a default of 'strict'
new d961bc2 Added a test (that doesn't work yet)
new b2a873f Removed savefig from tutorial plot files. unnested tutorial.rst (section 2) in the tutorial folder
new 15173d7 ENH: update joblib
new 71017ff WeightVector now keeps track of its squared norm.
new 2d1431d move WeightVector and Dataset abstraction to new module
new d9bdece moved WeightVector and dataset abstraction to new module
new 6e4bb8e updated Dataset imports
new ab04eae no need for sgd_fast header anymore.
new add2416 added largescale ext module to setup.py
new 6297939 fix: declare extension type attributes
new 64662c3 Test now works, testing both the Word and Char analyzers
new eb682ae decode_error -> charset_error
new aa03d66 comment in forest classes for covertype benchmark
new 435328c FIX flip sign in decision function of LibSVM in binary case.
new 4946294 MISC renamed min_split and min_leaf to min_samples_split, min_samples_leaf, added them to the ensemble classifiers and documented them....
new ccfba5b FIX OneClassSVM decision function sign.
new 0ca3452 ENH more elaborate one class svm testing....
new d808c07 docstring update
new b8ba71b MISC address @mbondels comments
new 8969659 MISC simplified test
new c87c168 FIX one class test, added more decision function tests.
new 0083154 COSMIT pep8 + "leafs" typo.
new 4e78ea4 Updated tutorial folders in doc with placeholders for other tutorials. updated index.rst for the tutorial menu accordingly
new 0def213 DOC Added changes to decision functions and coef_ to whatsnew
new f4ed07c Merge pull request #627 from amueller/min_leaf_cherrypick
new a7925e9 added an html page for plot_digits_first_image.py
new 361a058 MISC don't use deprecated mean_square_error
new 1a7c5ed Added links to some keywords. Added a small note after the Training set.. topic - linking to the other basic tutorial Fixed a typo in k-Nearest neighbors classifier heading.
new 10493cf cosmit
new bf77ed0 cosmit undoing (was testing)
new c60a1b2 pep8
new 67af6c7 cosmit to docstrings
new 4f99b95 Merge pull request #633 from robertlayton/ig
new edd7772 Merge pull request #603 from jakevdp/GPML-fixes
new 4d638a1 Fix a test case
new c521c86 Merge pull request #637 from fannix/fix
new 10e105d Merge pull request #634 from amueller/svm_decision_function_dirty_fix
new 9c6e044 FIX #614: raise ValueError at KernelPCA init if fit_inverse_transform and precomputed kernel
new 448dcd2 Links, image resize and updated ipython code in tutorial Few links added into supervised_learning.rst image in settings.rst now square so doesnt shrink adjacent code box updated ipython code regarding nearest neighbours(after API change in 0.10)
new 1e06904 Merge branch 'master' into svm_class_weights
new 4f90efc Merge pull request #610 from amueller/svm_class_weights
new aaa6611 COSMIT pep8
new c219d09 FIX whooops sorry
new e23908d Added a dataset image, some links and 'import sklearn' updates Added the iris dataset image to supervised_learning.rst Added html for iris dataset image. Updated plot_iris_classifiers.py to use KNearestNeighbors plot_iris_dataset_3class.py is for the image of the iris dataset - Didn't want to overwrite plot_iris_dataset.py just yet.
new dc74f81 DOC Insert hidden toctree, mv "included" files from rst to txt
new 331eaf3 MISC Issue #639. Remove unused member types in linear_model CVs
new d24337b DOCs change extension from txt to inc, add inc as doctest extension to makefile
new a2108ea ENH: optim in ward_tree
new a734166 Cosmit
new 43acd6a Added Knn classification example image&html
new 79ec933 BUG: ShuffleSplit should give reproducible splits
new b5a1de7 MISC verbosity parameter for forests: better control over tree building.
new ded4327 Merge pull request #641 from amueller/doc_fixes
new 9c44867 FIX dataset docs: changed suffixes in include to match rename.
new 19b5e33 DOC fixed inconsistent titles. sphinx didn't like them and didn't show these sections.
new a0ce56e MISC @ogrisels comment about human-parsable counting
new 0718280 Merge pull request #643 from amueller/forest_logging
new 07b9208 changed colours of plots, added links
new 6e59f6c Change exception text when multiple input features have the same value from: "Multiple X are not allowed" to: "Multiple input features cannot have the same value"
new 9787396 Fixed link typo
new 4551288 Merge branch 'master' into WIP_tut
new 5a7f07a FIX : fix SVM examples with new scale_C=True
new f8904bd DOC rudimentary docstring to deprecated.__init__ describing "extra"
new 37aaf41 Simple linear regression example added to tut
new b383983 DOC C is pretty large now...
new bf83809 MISC class_weights constructor parameter in RidgeCV
new 0d6e66f Fixed spelling error,import lines,figures and html links for shrinkage section
new 5ae4fbc FIX: make GridSearchCV work with precomputed kernels
new d685f20 raise ValueError when given a kernel_function or a non-square kernel matrix + some tests
new 1dff36a Fixed a small typo
new 5f43ada Added links, images and docstrings to some plot files
new d434a39 ENH: small speedups in coordinate descent
new 10f18e6 Revert "ENH: small speedups in coordinate descent"
new 51f5680 FIX : Fixed bug in single_source_shortest_path_length in sklearn.utils.graph
new 4395694 ENH/FIX: in graph shortest path
new 0cfd283 BUG: fibonacci heap implementation
new ae1dea6 TEST: non-regression test for fibonacci heap bug fix
new 80743ce Generate c-code with cython 0.15.1
new b81b25e Faster hierarchical cluster for very dense trees
new 580afa8 ENH: Add the ability to set rho by cross-val
new ff10d10 ENH: store the path for rho in ENet
new e9eb1bb BUG: fix tests and reorganize code
new 5b9318a ENH: draft of parallel CV in elastic net
new 8dbb8de TEST: setting rho with ElasticNetCV
new de85be2 DOC: document ElasticNetCV
new fcec0ff DOC: formatting improvement to ensemble.rst
new 81816ac FIX : fix ward benchmark
new f7645f4 MISC: cosmit to please @agramfort
new a055f97 BUG: Same MSE scaling for LassoLarsCV and LassoCV
new 1dbf4c3 TEST: better tests of LassoCV and LassoLarsCV
new ae7ab21 working on tutorial exercices skeleton generation
new 392db25 fixed plots to have class coloured datapoints
new 0ba9048 Merge pull request #654 from GaelVaroquaux/enet_cv
new f3ec32b Fixed some figures, added links & corrected SVM Param C explanation -all figures in section 2 of StatInference tut added/fixed -fixed datapoints gettin cut off -all figures link to page with code
new ddccc6e Set label encoding in LabelBinarizer.
new 5d242ab Merge branch 'master' of github.com:scikit-learn/scikit-learn
new f9cd715 Guess threshold if not explicitly provided.
new 932c155 Bug: must be strictly less than.
new b071cb0 FIX: make the 20 newsgroups loader explicitly decode latin1 content
new 23a330a optimisations to Ridge Regression GCV
new 56c8ebd faster GCV for Ridge for n_samples > n_features
new 1021a82 fixed tests to work with Ridge GCV
new 037cef6 updated RidgeCV docstring and changelog
new acb20ca fixed bug with _values (thanks @mblondel)
new 646bf7b fixed bug with > 1d y arrays
new f5ddde0 svd fails for sample_weights, use eig instead
new 83ecb9b coerce sparse matrices to dense before SVD
new 8195db2 refactoring (thanks @GaelVaroquaux, @mblondel)
new cbb67aa Pep8.
new 36602c6 Don't raise warning in auto mode.
new 560b0b8 Fixed missing image and GUI download link -Missing image and link for it fixed in basic tutorial -Seperate page for SVM GUI added instead of direct download link
new 120e628 Image page fixed
new a82f7a2 added div.green to the theme for Exersizes in scikit-tutorial
new 82f3c06 fixed link/updated some code
new a435978 DOC: add a link the Gohlke's 64bit windows binaries
new 858c11e shorten example a bit with train_test_split
new 70fa9d5 manually rescale C in face recognition example
new 0b3981c renamed file-names, finished model-selection, changed cv plot to use C
new 6783466 DOC doc fixes
new 6e2223b MISC added removal version for scikits.learn deprecation warning.
new f8b605d MISC remove ball_tree and cross_val namespaces
new f758445 MISC scikits.learn removal at .12. I'm not so good at counting, sorry.
new f534013 Merge pull request #660 from amueller/remove_namespaces
new a02d47e cross_validation.py: fixed bug in text of error message
new 509bb5d Merge pull request #664 from conradlee/663-kfold-init-bug
new 43b962a Section 4 done - images/links/htmls for images -_plot_pca_3d renamed to plot_pca_3d -plot_pca_3d still needs quiver, but plot works now -plot_lena_ward added to plot ward clustering of lena
new c6f619c All scikit tutorial images and links redone -plot_face_recognition's code was updated to latest face_recognition
new f3ed2d7 Fixes for doctests
new e9c3570 modified makefile for doctesting - not permanent
new 25ad1d7 ENH: use shift-invert in spectral clustering
new b55d62c add detailed comment on ARPACK usage
new 3a5e181 COSMIT renaming scikits.learn to sklearn in some places
new 540b438 DOC/TEST: HMM fix doc layout and doctest
new 7417591 Merge remote-tracking branch 'origin/master' into WIP_tut
new 4479b57 ENH: Add controled random_state in HMMs
new 7c958d7 DOC: prettify HMM sampling example
new bd2405f Cosmit
new bc942e8 COSMIT pep8
new 1cddb61 MISC Update all the other deprecation warnings that I forgot.
new 73320c4 Merge branch 'master' into gradient_boosting
new 51b6faa renamed and updated covertype benchmark.
new 05b5e38 uncomment RandomForest
new 6bf9501 FIX: class_weight only in classifier Ridge classes
new 52263a6 DOC Documentation for RidgeClassifierCV
new 5886f7c DOC add removed docstring.
new c597c6b COSMIT pep8
new 4508438 ENH Added tests and fixes
new a7c1805 DOC remove "for dense data" heading for SVM classes
new 9061131 Merge branch 'master' into linear_model_class_weights
new a510d17 Flatten the feature extraction API
new e179df0 Merge branch 'master' of github.com:scikit-learn/scikit-learn into text-feature-extraction-simplification
new 882dd38 missing C re-scaling in example
new 11d6116 missing C re-scaling in example
new 0187838 DOC document classification plot
new 61b0e28 MISC removed deprecated api from examples
new e7c740b WEBSITE: make example gallery look even better!
new 2c496e7 MiniBatchSparsePCA and MiniBatchDictionaryLearning still use chunk_size as argument
new 631705c merge master
new 38d4332 factorize feature names array
new 16fc907 DOC added reference to r2 score
new 9f6cdc0 make CountVectorizer able to output binary occurrence info
new fdb7844 add a test for custom dtype
new 139283e ENH rename parameter "multi_class" of LinearSVC to "crammer_singer", add docs, add tests
new 882a7d5 FIX forgot doctest
new 3fd3571 DOC minor addition to SVM kernel parameters
new e546e17 DOC more readable make_friedman docs....
new da9528f Merge pull request #649 from daien/GridSearchCV_precomputed_kernel
new 137b4dd COSMIT don't use deprecated names
new 40c45ca ENH new samples generators for classification and clustering. Refactored label propagation example a bit
new db1e186 ENH cluster comparison example (starting)
new 0e8c229 DOC: improve docstring for Vectorizer
new 28471b6 Flatten the combined vectorizer as well
new 85950bf Merge remote-tracking branch 'upstream/master' into text-feature-extraction-simplification
new 53b9dea Merge pull request #669 from amueller/example_gallery_css
new 689d672 ENH added "shadow" parameter class_weight_ as @ogrisel suggested.
new 06e726c MISC changed parameter name back but changed semantics, as @mbondel suggested.
new b620aa1 Fix grid search example
new 155ead7 Fix charse in mlcomp example
new 1c78860 COSMIT pep8
new bd58331 DOC added one more sentence about crammer-singer
new 1a46df1 COSMIT typo. thanks @ogrisel.
new 88085f0 DOC crammer_singer docstring by @ogrisel
new 11ba3f7 ENH clustering example with spectral clustering and ward with connectivity. looking better now, still not perfect.
new c93c1a2 FIX broke label_probagation example, now fixed it again.
new 3f2d0dc Merge branch 'master' into sample_datasets
new 5a88e0c Merge pull request #673 from amueller/crammer_singer_rename
new 98cf508 DOC add new dataset generators to class reference
new 429cfd7 WEBSITE: another css enhancement to give figures a max width.
new 667ef37 DOC move references from Notes to References section in docstrings
new 3a030bb MISC simplified kpca example with new dataset generator, another minor fix in generator
new 977f7d5 DOC lasso/enet regression example with coefficient plots, corrected r2 score
new ada1520 DOC Basic docstrings for LDA and QDA classes
new b5260de DOC lda/qda examples: remove redundant example, prettyfied other.
new 70347cc DOC Added QDA to references, narrative docs, improved docstrings
new c7a19aa COSMIT newline in LDA doc
new 846e4b5 DOC explanation for plot in lda/qda narrative
new 41e864e COSMIT: underscores are better than unseparated words
new 9bcd00a MISC use Gaels pretty plot, add dbscan, normalize data...
new 1dc7dc4 closes #677 - improved affinity propagation docstrings
new 124b19f COSMIT cleanup, pep8
new a8359d6 ENH issue #661, plus some renaming and minor cleanup
new d41a1ea MISC forbid mle initialization of PCA for n_samples < n_features
new 30f7b5a TST: fix trivial bug and control the rng
new 3b5f328 DOC added clustering example to the docs
new adaef32 COSMIT make plot look more like other coef plots
new d00c601 MISC: fix the random number generators
new 4f31269 DOC: started section on text feature extraction
new 0dd256b Merge remote-tracking branch 'upstream/master' into text-feature-extraction-simplification
new 84edda6 COSMIT removed debugging print
new 842f366 MISC added xlim and ylim for @ogrisel's weird matplotlib ;)
new 24661d3 ENH fixed seed, added center positions
new 267015f switch back to the old vocabulary constructor argument
new 346506f Merge pull request #674 from amueller/sample_datasets
new 02d238f Merge remote-tracking branch 'upstream/master' into text-feature-extraction-simplification
new de25118 better blob seed so that both DBSCAN and meanshift are working well
new 800e8c0 FIX minor doc fixes
new 372f03f DOC add link to narrative in lda and qda references
new a202926 Merge branch 'master' into text-feature-extraction-simplification
new e1ac7c3 DOC add ``estimate_bandwidth`` utility for MeanShift to the references and narrative
new 0b9d572 MISC make Ward check if input is sparse.
new 73c3082 MISC make Ward test if connectivity is a valid connectivity matrix.
new 863e1b5 COSMIT changed error message for Ward
new fb21662 DOC another coefficient plot
new 1f542c2 finally the right API with plenty of efficient overrides
new 3f1570e COSMIT Adjust title for example gallery
new 10da35d Merge pull request #679 from amueller/logistic_l1_l2_sample
new 94da2b7 cosmit
new 13ea995 ENH 2d plot for l1l2 digits example
new 4968fef COSMIT last try to make my plot pretty....
new e361207 Merge pull request #2 from GaelVaroquaux/hmmc
new a307e45 Filter stop words before ngrams
new b7a77e8 demonstrate stop words in example (+ slighly faster convergence)
new 95946d0 missing sklearn.semi_supervised package in setup.py
new c6f3824 remove redundant file
new 75e2d10 removed redundant file
new bd271ab Better doctest time(wip),removed duplicate examples, update plot_ols.py - I wish to replace the old plot_ols.py example with a new one which uses the diabetes_dataset instead of synthetic data. - references to changed example paths updated
new 864e4fb ENH: remove useless array wrap for feature names + more TF-IDF tests
new 1216bc5 Make Vectorizer not inherit from TfidfTransformer while preserving direct gridsearchability
new 24a1b3a expose 'ls' loss function for classification added new example (GB regularization) fix: min_split -> min_samples_split in examples
new 7f0048b cosmit: pep8
new 0d1daad FIX: division by zero errors and negative IDF
new 0ce35bb DOC: TF-IDF and customizing
new 5fe1cc4 DOC: updated parameters
new 0572197 Merge branch 'master' into text-feature-extraction-simplification
new 1556399 updated whats new
new 9166a2d s/Bags/Bag/ and Vector Space Model
new 8999140 better explanation for bigram features
new 3872d44 No accent stripping by default + various doc fixes
new 25a9c4e update strip_accents in Vectorizer as well
new 56c186a typo
new 7e58310 typo
new 1fa191f Merge branch 'master' into sgd-weight-vector
new 0272892 typos
new c686232 remove lambda + better comment position
new 57e32f4 enable stop words in clustering example
new 3ea19f0 renamed largescale -> large_scale
new 0d498c6 Merge remote-tracking branch 'origin/master' into WIP_tut
new fc86904 3 files moved into main example pool - links to them updated
new aa29428 Merge remote-tracking branch 'upstream/master'
new 130d87a fixed error in graphviz export code causing graph error raised with certain valid node configurations
new c9d076c Merge pull request #684 from clayw/graphviz-fix
new 2a52d97 Test added for multiple-outcome: - linear regression - sparse linear regression
new 5d0a63d bugfix: lstsq coefficients output needed to be transposed added: sparse linear regression supports now multiple-outcome
new c55214c fixed spelling error data set generators used instead of custom data sets
new 3735220 docstring updated and list append replaced with preallocated array
new 5a2f016 consistency
new c987520 spelling
new 30150cf Merged some examples into examples folder. - updated links accordingly - renamed miss-spelt excercice to exercise
new bca803e Merged a few examples into the example pool
new 754788c typo
new db38edb delete redundant file, merged some examples and updated links
new 49c657c examples merged to example pool
new 97291bd deleted unused file, tutorial examples folder removed
new c920fd8 API: use C=None by default in libsvm/liblinear bindings so (C=1, scale_C=False) which is libsvm default == (C=None, scale_C=True) which is the scikit default
new 5507f08 FIX : remove useless C definition in non-fit methods
new 1caad7d ENH : adding scaled_C_ attribute
new c0541fa Renamed Vectorizer to TfidfVectorizer + deprecation warning
new f59495f Merge branch 'master' into gradient_boosting
new 5d0ea6c updated what's new + backward compat for vocabulary attribute
new d9fd053 fixed and inheritance bug in TfidfVectorizer.fit_transform + removed vocabulary backward compat that breaks grid_search
new 4cca090 replaced silence paramenter in makefile, links removed in stat_learn tutorial, big_toc_css copy deleted, heading changed in tutorial index, tutorial index info added
new be89040 useless import
new 4c58199 Merge branch 'master' into sgd-weight-vector
new 6c0110a add support for multi-class
new 18d6ce1 add todo
new 7fcb2db moved WeightVector und SequentialDataset into seperate modules.
new ef6e825 re-cythonized
new 61c3fdb fix: min_samples_split
new c4d7edb Merge branch 'master' into sgd-weight-vector
new f78e1b5 don't need self here.
new d4a6ebd pep8 errors fixed
new 9b46046 factored out norm updates and moved them to a dedicated subclass
new aef85ba cythonized
new 436c257 Merge branch 'master' into gradient_boosting
new 10d641c Merge branch 'gradient_boosting' of https://github.com/scottblanc/scikit-learn into scottblanc-gradient_boosting
new cd0133e Merge branch 'gradient_boosting' into scottblanc-gradient_boosting
new e6fa596 pip8 errors fixed
new 86f621b ENH add DictVectorizer
new e7a08ad added ELLIPSIS to 4 examples
new 17fa297 added ... to ellipsis
new 4ee5b5e Merge remote-tracking branch 'origin/master' into WIP_tut
new e818a84 cosmit: pep8
new d143947 cosmit
new 6737f3b added serialization test case
new b49c2d0 merged ols and ridge variance + some neating
new 1b06362 fixed links & neatening
new 1714f79 Merge pull request #668 from ogrisel/text-feature-extraction-simplification
new 7a218ff parallelized
new 3f5dbe2 ENH test feature_extraction.DictVectorizer
new 775588e use `deviance` instead of `medviance` and `bdeviance`
new db71fb4 DOC syntax error in DictVectorizer docstring
new 5f592df COMPAT turns out collections.Mapping has an iteritems member
new 7f155e9 moved exercises into seperate folder, neating up
new 43f1819 ENH add test for DictVectorizer.restrict
new 0337bde Merge branch 'hmmc'
new 2930bfe TEST: fix doctest on non 64bit boxes
new e236ce3 DOC + ENH DictVectorizer: complete docs, add dict_type param
new 9f9fd2d COSMIT: readability
new 03f0887 wip: refactor ``fit_stage``; fix feature importances regression; tests still not green (performance regression on Example 12.7).
new 7cf907b trailing whitespace
new cef8de7 parameter n_jobs added
new f209950 BugFix, matrix was not flagged as sparse.
new 1dfc768 fix: make binary classification a special case.
new db7d0d2 refactoring for multi-class
new 9aec586 test case for multi-class
new e6a5713 comment out - yahoo learning to rank dataset
new c72dbd5 BUG fixed error that I introduces earlier: connectivity can also be `None`
new 1b8b088 DOC fixed reference to an example (that I also broke before)
new 8920d48 some profiling
new 493c7cc path fix of moved figure
new 5ecc161 FIX: broken doctest under OSX
new 251fa60 impl. deviance for MultinomialDeviance.
new 1890d6e fixed typo,changed 2.2s numbering, fixed 4 examples in exercises
new a161f3d fixed numbering in main User Guide
new fdfcf9c fast tree prediction methods.
new 6058567 faster ``_predict`` by using low-level tree predict functions.
new 603eadd cosmit
new 6de5944 forgot to remove debug function
new b9f62bf changed self.classes to self.classes_
new d340e0e fix: forgot to rename classes
new be82adc added a StratifiedShuffleSplit in the cross validation schemes
new 9419451 added test for stratified shuffle split
new 17ecf4e updated stratified shuffle split test
new 68d77d4 fixed sss test
new 0f21fce cleanup of arg check and doc update
new 1c75bd8 put sss validation in external function
new 1caa9e7 updated doc/whats_new.rst, doc/modules/classes.rst and doc/modules/cross_validation.rst for the sss
new 50a42f0 sss raises error if a class has only one sample, added associated test
new 88acd3c pep8
new 0f0a5aa changed train_fraction to train_size
new 5a79a4c Fixed random state, changed _validate_sss name, fixed _validate_stratified_shuffle_split bug
new d14f7b7 TEST: Fix cross_validation tests
new 44df9a2 BUG: fix cross_validation on numpy 1.3
new de3991a updated documentation: plots for gradient_boosting, new sample generator
new 249ea7b new predict utils for early stopping; updated examples
new 835af05 Merge remote branch 'upstream/master' into gradient_boosting
new 5b3cb5c updated benchmark script
new f548b99 delete benchmark scripts - include them in dedicated branch or ml-benchmarks
new bc5deea NearestCentroid classifier, with test suite. Unimplemented shrink parameter, will be done in future commits
new 3ea18da Shrink threshold working, along with a test
new b064bb9 added collapsable sidebar - still WIP
new 42b1510 Cosmit typo
new eba34de Collapsable sidebar adding complete - appears to work well
new e3da7a4 FIX plot example fix for old matplotlib, so that it shows on the website.
new ebc7a6c Merge branch 'master' of github.com:amueller/scikit-learn
new 76cb9e9 DOC: Various minor fixes to "Contributing" docs
new 570b4a3 COSMIT disable liblinear I/O code
new c467d54 Deleted redundant files
new 84ea07d Skip k-means parallel test on Mac OS X Lion (10.7)
new 404f24c Merge pull request #694 from njwilson/skip-kmeans-2-jobs-mac
new f9c5458 Merge pull request #692 from njwilson/minor-doc-fixes
new 72174a7 Had a link to autopep8
new 4000124 color change for button
new 9c3e66e FIX: Delete temporary cache directory
new 6306c18 Merge pull request #695 from njwilson/tmp-dir-for-cache
new f3e4357 BUG: Fix metrics.aux() w/ duplicate values
new 489b738 Merge pull request #696 from njwilson/issue-691
new 6eb84f8 Sparse tests, but they are currently failing. Committing for comment
new 4be3be5 FIX: Add NORMALIZE_WHITESPACE to broken doctest
new 64c674e Merge pull request #698 from njwilson/master
new dbea9d8 OPTIM: skip buffer unpacking in kmeans
new b864eb0 Typo for "neighbours", and converted to en-US
new 0321ded Stop passing keyword arguments for positional args
new c90a329 Add verbose parameter to SVMs (fixes #250)
new 40df9b4 Merge pull request #699 from njwilson/issue-250
new f53aaa1 comment added to gen_rst. Arrow added to button
new dd55e12 Merge pull request #693 from jaquesgrobler/Collapse_Sidebar
new 3d9c9e6 Test for sparse matrices. Tests fails, my guess is that centroids are the same. Committing to save, will work on later
new e932baf Next button added:position correct,but does nothin
new 0b15b04 ENH implement one-of-K/one-hot coding in DictVectorizer
new c128b14 COSMIT rename DictVectorizer source files
new 49e2953 ENH optimize DictVectorizer (sparse case)
new f326366 TEST more strict test for one-of-K coding in DictVectorizer
new edd7748 DOC narrative documentation for DictVectorizer
new d5126a7 DOC + pyflakes in DictVectorizer
new e05e1a4 ENH reduce memory usage of DictVectorizer.transform in sparse case
new 9fa061c COSMIT make cross_validation nosetest slightly more readable and more pep8 respecting
new 7af5f6a BUG fix doctests for DictVectorizer (nose 0.X compat)
new 922dc91 FIX make class weight nosetests work
new 58148a2 FIX get rid of some doctest errors (with the stricter nosetester)
new 6c82f70 Fixed bug in nearest_centroid, and removed boston test.
new 06cda29 Narrative documentation
new 6981505 Merge remote branch 'upstream/master' into gradient_boosting
new 86bb509 removed ``store_terminal_region`` from ``build_tree``. removed redundant ``predict_tree`` from ext module.
new 15e46bf mention multi-class
new 9d49982 use ``apply_tree`` to compute terminal region. This is faster and reduces code complexity.
new 0aa244e added __all__
new 4fe5520 enhanced documentation
new 2359ac0 type (differentiable)
new 67ac31d boston -> Boston
new dbaabfa ENH refactoring of dot-file export
new c3fb05f COSMIT comments
new 4083bbd COSMIT minor visual enhancement
new af3b08a ENH: don't fail on "yeast" dataset
new 20b0468 Merge branch 'dictvectorizer'
new 0d1777c Merge remote branch 'upstream/master' into sgd-weight-vector
new 3ac4be8 cleaned some examples
new 63c7478 un-done NormedWeightVector factorization; performance decrease on RCV1 is neglectable.
new 19bdd9e fixed SparsePCA.transform returning NaN for 0 in all samples. (fixes #615)
new b4aa308 cythonized sgd files
new c831764 Merge branch 'master' into gradient_boosting
new 3c428f4 TST : add test on ridge shapes for different y shapes
new ba7ab75 TST : add test failing test to reproduce #708
new eefa816 FIX : fix test for #708
new 50b516f FIX : fix test failing with OMP
new 03443da ENH: y_mean with consistent shape in _center_data
new f5b56fa Added test for SparsePCA.transform (checks #615)
new d770c8f Merge pull request #711 from davidmarek/sparse_pca
new f6a36a3 PEP8
new ff09f48 ENH: move _compute_feature_importance into Tree
new 3509e16 ENH: Use DTYPE instead of float64
new ec9ed89 Cosmit
new 80438a2 DOC: Better doc string for l1_min_C
new 934d373 ENH: Moved _build_tree into Tree
new 47a335b Cosmits + Fix to a test
new d101d74 Merge pull request #712 from agramfort/fix_y_center
new 9011901 button is mostly working
new 11408e7 spelling fixes
new cc2bab9 Revert "ENH: Use DTYPE instead of float64"
new a12a8fc Merge branch 'pprett/gradient_boosting' of https://github.com/glouppe/scikit-learn into glouppe-pprett/gradient_boosting
new 34f4c14 Sparse tests pass when using shrinkage Code cleaning and optimisation still to go
new 5628074 cythonized
new c5b5a05 added Gilles to authors
new 76ab911 whats new? Gradient Boosting!
new 20ae0ed Merge remote branch 'upstream/master' into gradient_boosting
new 1a04623 cleaned up
new 4bf8262 more cleaning-finished off
new 8f9e2a9 added util func to create random sample_masks
new a52a526 use random_sample_mask (issue pointed out by @glouppe); rename train_deviance and oob_deviance to train_score_ and oob_score_; doc attributes
new 0dc117a update examples
new 6c09415 update tests
new 6079a8d remove np.seterr
new 98310f5 closes #703 - KFold has now an option to shuffle the data
new e4c8911 Added unit test for shuffle option in KFold
new 8ce9396 Now tests the randomness of the KFolds when shuffle is True, and that all indices are returned in the different test folds
new e660ab3 FIX : prevent ICA with defined n_camponents and whiten=False (fix for #697)
new 67adfaa TST: capture warning in test
new 66d8f4e spelling errors,edit curse of dimensionality, explain top-down
new 94088b8 bug fix - layout
new baaeafa changed hover colours for button
new ed6f1fb previous button added with hovering-effect
new 0fe20c3 DOC Added clustering functions to references.
new 2119eb1 Merge pull request #685 from ibayer/master
new 9fe4408 FIX : use joblib from externals
new 6cb7d84 cosmit: comments + rm unnecessary variables
new 9ef2a0f cosmit: add comment to replace ``random_sample_mask`` if numpy requirement allows to do so
new ceb8583 Merge pull request #709 from ibayer/cleanExamples
new 22880a4 cosmit: fix ClassPriorPredictor docstring; rm comment
new b96bb4b typos
new eb0b27c typo
new fb4c81b ENH local variable in ``fit`` instead of modifying the estimator parameters. thanks @GaelVaroquaux
new c8d3617 Merge pull request #705 from agramfort/fix_ica
new 4cc8641 Merge pull request #714 from jaquesgrobler/Next_button
new c4fb366 mv *Predictor to *Estimator
new 85d333f mv classification init estimators; use np.bincount for PriorProbabilityEstimator.
new 8babc3d is_multi_class now is a class attribute.
new 057caef update docs
new 923a759 don't need to store n_classes.
new 0d63d78 Merge branch 'master' into WIP_tut
new 6c7a166 fixed new doc-test error
new 9f413c8 cosmit: no need for float literals
new d452cde Merge branch 'master' into gradient_boosting
new 5964664 combat for sp_linalg.lsqr
new 0b08145 Merge branch 'shuffle_kfold' of https://github.com/NelleV/scikit-learn into kfold-shuffle
new 24b80e3 Test indices=False case.
new 1bb5a3c Factor tests.
new af3a547 Merge branch 'combat' of https://github.com/ibayer/scikit-learn into lsqr_fix
new 3b81dd9 Fix lsqr for scipy 0.7.
new ef19861 DOC: Added ElllipticEnvelop to the References
new a7b66ba FIX: return; instead of return NULL;
new 741b047 MISC: better verbosity in lars
new ff1ca34 DOC added reference for EllipticEnvelop and fixed some sphinx errors.
new 0a4f976 Merge pull request #717 from jaquesgrobler/Issue714
new 9672670 typo + cosmetics
new d07f946 FIXed nosetests. Thanks @pprett
new 5a2681c Merge pull request #707 from amueller/graphviz_dot_refactoring
new 57e8147 Merge pull request #648 from amueller/linear_model_class_weights
new da20633 DOC: more visible version remark
new 118c00d ENH Ward: better behavior for non-fully-connected graphs
new e2f9c2a ENH: Don't modify connectivity unless specified
new f0d7eb6 DOC: affinity-propagation in clustering comparison
new cbc9fa8 DOC: add clustering example on front page
new e9d6673 ENH: a few typos in docstrings
new a7520fb Merge pull request #726 from emmanuelle/doc_correction
new e64b7a6 ENH: summary table on clustering
new c1eeb51 DOC: better clustering comparison table
new c2b356b DOC clustering comparison: link table and figure
new df558e8 MISC: tweak example layout
new 14f37d4 DOC: finish table to compare clustering
new e38fa17 Merge branch 'WIP_tut'
new 43ca4b7 DOC: Better narrative for DBSCAN
new 7278dfe DOC: finish misc in tutorial
new 6b1bc17 BUG: no plotting in doctests
new cc1765c COSMIT: layout tweak
new 73588be Redo CSS layout killed by commut 94088b81
new 2edfa60 BUG: fix doctests
new a247a3e point out scalability problem with large numbers of classes; use ``n_classes`` instead of ``K``
new 1bd5e83 cosmit; mention scalability issues w.r.t. large number of classes
new f62966d COSMIT Typo
new 91b42dc Turned on final test (it works!)
new 42e691b Broadcasting used to remove a loop
new 91d3797 Removed asserts in code
new 72916f6 Test use assert_array_equal where appropriate
new 707da6a pyflakes on test
new 6c1333b Update to documentation
new f5179b1 Moved to the `neighbors` namespace
new fd30ddc Example of nearest neighbor, getting an improvement when using a shrink threshold of 0.1
new 4168ab5 Explain example in docs
new bc01881 fix: convert input arrays to float
new efe14a7 fix: force copy to True in case underlying default behavior changes.
new 239039c tst: added test for feature selection. this test would have failed in the previous case. closes #727
new f1c6f5e Merge pull request #728 from satra/fix/f_regression
new f56ffb5 Made old EllipticEnvelop deprecated class -renamed to **EllipticEnvelope** -Examples updated
new 69350f1 changed message to *Use EllipticEnvelope instead*
new 87fda34 Merge pull request #730 from jaquesgrobler/rename_EllipticEnvelope
new 46c2c3f corrected Gaussian naive-bayes to correctly computer the class priors
new 58e15bc Update examples/neighbors/plot_nearest_centroid.py
new 399fcff Update doc/whats_new.rst
new 2556fa1 Update doc/whats_new.rst
new f5de79a Removed unneeded numpy.array call in test Added NearestCentroid to 20 newsgroups example
new d213168 metric fixed in tests
new 8b76679 Merge remote-tracking branch 'origin/nearest_centroids' into nearest_centroids
new 77c844a DOC: timings in cluster comparison example
new 2784be9 COSMIT: prettier plot
new efd467c Fixed broken image link
new 446a225 Merge pull request #733 from jaquesgrobler/master
new 0ae685f COSMIT simplify input validation in KMeans
new 91a7b65 DOC small fixes to NearestCentroid classifier
new 9e21adf Merge branch 'master' of https://github.com/udi/scikit-learn into udi-master
new ea442a3 added prior test
new 32c32db more test cases for naive bayes
new f7f6849 GaussianNB: use epsilon to overcome zero sigma problem. GuassianNB: check input size
new 3511c90 BUG disallow shrinking with sparse data in NearestCentroid
new 7d00051 rm print stmt
new 82cc2d0 BENCHMARK covertype: select classifier via cmd line opt
new 46fcc12 Merge pull request #5 from larsmans/nearest_centroids
new e6c2be9 Merge pull request #736 from paolo-losi/bench_covtype
new 88cf3c5 DOC: misc wording
new befad3c TEST GNB: test that class_prior sum to 1
new 98aef42 Add test for grid search with only one grid point.
new bbc2499 Check param grid.
new 3f6e67a Return early if there's only one grid point.
new ca3283b Merge branch 'master' of github.com:scikit-learn/scikit-learn
new bea9264 added gbrt extension module (faster prediction methods)
new de7ed14 rm custom regression tree prediction method
new 5467dac faster prediction methods
new f349e42 wip
new 00e17f2 add prediction method for specific stage
new 11aa107 add staged predict
new 4b5aada use staged predict in gbrt examples
new eb9ad47 ENH : speed up f_regression
new 2d5c2a7 FIX : array copy for compat pb
new 215eca7 DOC typos, line-width and minor stylistic fixes in pipeline module
new 8a6fe20 COSMIT shallow copy of steps in Pipeline + code style
new 11dd55b fast tree prediction based on mystic cython kung-fu
new 92b8e86 cosmit
new 54cf09f staged_predict for regression
new c5dc1f6 test for staged predict and cosmit
new 5ace41b more test cases
new faf035d more test cases (input check at prediction time, degenerate inputs)
new d1a122e use approriate data types (Py_ssize_t)
new b82c76e better input checks at prediciton time
new 8efc6d2 ENH: Added p to classes in sklearn.neighbors
new e761d69 TEST: tested different p values in nearest neighbors
new db30c2b DOC: Documented p value in nearest neighbors
new a26cd5c DOC: Added mention of Minkowski metrics to nearest neighbors.
new a8b5110 Fix doctest failure.
new 4ac7a41 Merge branch 'nearest_centroids' of https://github.com/robertlayton/scikit-learn into nearest_centroids
new 6901d7e Fix doc mistakes.
new 00eff77 Precomputed distance matrices can be rectangular.
new cf811d2 Add test for precomputed distance.
new 4685bab Doc cosmits.
new 3e391c8 COSMIT pep8
new 8474e94 DOC sphinx/rst errors
new 705a368 DOC Believe it or not - this fixes the annoying sphinx error. And don't dare to abbreviate singular value decomposition with svd. Sphinx does not approve of that.
new d0fcb18 COSMIT minor fixes to docs
new f1ffee6 COSMIT fixed references to covariance.EllipticEnvelop in docs
new abc6a02 FIX+TEST: Special case nearest neighbors for p = np.inf
new ded3a8d FIX: pep8
new 3101cb4 test for positive constrained lasso added
new a78715a positive constrained option for lasso added
new 9aaf711 lasso docstring update
new 76f34bb remove outcommented lines
new 2509de2 wording
new 7df65a5 example for lasso with positive constraint
new 8fbdde0 renaming
new ce0f7cb reset wrongly committed file
new be11f8f use scikit function to make train test split
new 2e4d8db set w[ii] = 0 if tmp > 0
new a7215af - changed parameter from positive_constraint to positive - moved parameter from fit to constructor
new e4ce5cf ENH: sort features in dict vectorizer + new doc
new 9711ef7 indent
new 83e1ead add examples for positive constraint lasso and enet
new 0df07e3 merged into plot_lasso_coordinate_descent_path
new 759bcf4 fix doctest
new 81c222f ENH: refactored the HMM tests to ease PY3K transition
new 1b0b500 Fix bad reference to LFW in example
new b7b7b62 fixed doctest
new 40f2132 rm old tree prediction methods; cosmit
new b35aa6f cosmit
new 8588a1e Merge branch 'gradient-boosting-enh2'
new 588bb7d Merge pull request #741 from ogrisel/sorted-dictvectorizer
new 28e012c COSMIT use sorted instead of list.sort in DictVectorizer
new 18556c1 ENH: Use squared euclidean distance for p = 2
new eadb1f5 DOC small fixes to DictVectorizer documentation
new ca50d31 Removed `_plot` from the face recognition example updated tutorial page to use static image.
new 987f0fb Merge pull request #751 from jaquesgrobler/master
new 8e4ece7 useless import
new 0c04e8f FIX #752: raise explict ValueError if k is too large
new 9748565 FIX: missing string formating argument in MBKMeans error message
new cb76a77 BUG fix issue #753, "Sparse OneClassSVM missing argument to super()"
new 2c293eb BUG re-allow zero-based indexes in SVMlight files
new 3a0414e removed useless assert
new bdcb017 Merge pull request #748 from ogrisel/hmm-test-hierarchy-simplification
new 7a87d7f Merge pull request #742 from davidmarek/pdistance
new 32f9a7c COSMIT replace utils.testing.assert_in with Nose-compatible functions
new 4861dd8 DOC: Manhattan distance == l1 norm
new ef6be04 COSMIT pep8
new fb7b5b7 DOC correct links to face recognition example, take care of trailing underscores.
new ef62a60 DOC + FIX DictVectorizer: actually support single Mapping arg in transform
new 2bbc531 FIX : missing self.copy = copy in PLS GH Issue #758
new 5b93ccd cosmit : consistent linestyle in plot_lasso_coordinate_descent_path
new 1926152 ENH : add duality gap check with Lasso(positive=True)
new 3613180 Merge pull request #1 from agramfort/posCoeff
new 6d6c9a8 ENH zero_based="auto" support + better n_features=None in load_svmlight_files
new 370a0b5 FIX: avoid dividing by zero in Tree.compute_importances
new fb4bedf Merge pull request #747 from ibayer/posCoeff
new 7804a83 ENH: parallel computation of X_argsort
new 7f7113e ENH: better argsort
new 7806bb0 ENH: cosmit and doc
new d8ce359 COSMIT vanity + license for ArrayBuilder
new 2ad9115 Merge pull request #761 from glouppe/master
new e003185 ENH: add verbose option to LinearSVC
new 4cdf513 BUG: fix LibLinear verbosity for L2R_L2_SVC
new f172c7e MISC: verbose should be int, not bool
new 2d80ea6 TST: add smoke test for LinearSVC's verbose option
new 7e4ea9e BUG fix LinearSVM doctest
new 4956c00 MISC: verbosity in SVMs
new 097d85e add test for multiple fits w/ different input shapes
new 6ef572c fix issue 762: SGDRegressor does not clear coef_ from previous fit
new b68e6be asarray not needed because of check_arrays stmt above
new 5d2d7d1 rm unused vars
new 87bda9c Merge branch 'fix-issue-762'
new a5a02d4 COSMIT pep8
new 38cdfb2 ENH grid_search forgets estimators
new 0295809 DOC slightly better docs for ``refit``, document ``best_params``.
new db57c39 FIX clone base_clf before setting params.
new f33403c FIX messed up something in the short cut method.
new a633b28 ENH pre_dispatch for foresters
new a6f0e2a FIX redundant code is redundant
new 6f1c384 Merge pull request #773 from amueller/forest_pre_dispatch
new 10928c3 typo: Viola-Jones
new d6c29c0 Gradient Boosting also provided OOB estimates
new c2eeca7 COSMIT refactor SVMlight loader
new 806bb97 ENH fit_predict convenience method on KMeans and MiniBatchKMeans
new e7a33b2 FIX: #774 Add documentation for lprun config in qtconsole and notebook
new 29772fd Merge pull request #729 from larsmans/fit-predict
new 2ddf1a7 COSMIT pep8 SVMlight loader
new 7b4842d BUG close files in time in SVMlight loader (with statement)
new 96af5ae TEST + FIX zero_based="auto" behavior in SVMlight loader
new 2584c25 DOCFIX: make math block render
new d38f4d0 DOC + PEP8 SVMlight loader
new 31546a1 COSMIT add todo comment to grep
new d7f86f5 Merge pull request #770 from amueller/oblivious_grid_search
new 7bc2ca7 Merge pull request #756 from larsmans/svmlight_fix
new 1894252 ENH normalized_mutual_information
new eb09cec Fix bug when refit=False.
new 9f3369b Revert "Merge pull request #773 from amueller/forest_pre_dispatch"
new 4ae7551 Added the name change for the recent change EllipticEnvelope
new 5942665 Merge pull request #782 from jaquesgrobler/Update_Changelog
new 5f6d012 Fix math notation for exp and tanh.
new f2a7a7d Add pointer to kernel equations from SVC docstring.
new 40745ce Rephrased narrative doc reference in docstring.
new f402556 Added RST comment about where to find narrative docs.
new fb2453d Merge pull request #783 from dwf/svm_docs_minor
new 3970de3 DOC typo
new bf301f8 change web site for agramfort
new 43571bc FIX : fix SVC pickle with callable kernel
new a13138a cosmit
new e00044c FIX : callable kernel for prediction
new 89d73c7 FIX : sparse SVC clone with callable kernel
new b3ca4ee ENH: train_size and test_size in ShuffleSplit (#721)
new 3c64e1b TEST: Added more tests for ShuffleSplit
new 324abdd TEST: Tested ShuffleSplit with different types of test_size
new 1503bd7 Changed deprecation warning.
new 58a8742 DOC: Added changes in ShuffleSplit and sklearn.neighbors
new 95aba96 Error checking now works for more types than just int and float.
new f987efb Use numpy dtype.kind instead of isinstance
new f18a5f4 TEST: assert_equal instead of assert
new 0040a41 ENH: use warning.catch_warnings
new 94c2c3a ENH: neighbor warning always raised
new 0adaacc API: n_test -> test_size in Bootstrap
new d19abab Changed GMM's API to suite rest of sklearn - parameters not to be set via 'fit' anymore - parameters are to be set in __init__ - previous way of doing it set as deprecated with warning
new c9ccf24 1.Fixed typo 2.Removed has_key entries
new 436589f restored last changes
new 691d1e1 Fixed syntax error
new 8ba6995 mixture/plot_gmm* examples updated * plot_gmm_sin will get another update when DPGMM and VBGMM get their API's updated too
new d2ed2db restored last changes
new 7752db8 DPGMM API updated, along with plot_gmm_sin example
new da56baa DPGMM and VBGMM API change, example updated
new a3eb84d modified test_gmm to match API changes in gmm.py
new 51ddf4a updated documentation for gmm,dpgmm and vbgmm
new 3fb9333 Changed variable name `x` to `covar_type`
new 2f3c9ea Updated `whats_new.rst` with API change
new 36418a9 COSMITs on GGM
new 55959ed COSMIT don't use deprecated attributes in tutorial.
new 43d1aa4 COSMIT pep8
new 1ee61ea FIX don't use parameters to fit in GMMHMM.
new baab5f1 FIX don't use Python 2.5 method of checking for warnings
new 29826ba MISC Don't warn on equidistant on iris. iris has duplicate datapoints.
new 61fb19e FIX don't use fit parameters in grid_search test
new 56b3167 COSMIT pep8 document classification example
new 7613c48 ENH convert X to float in k_means predict.
new c7bec7a DOC typo in example
new b8e40d3 DOC clarify zero_one_score
new 42e33f3 Merge pull request #796 from amueller/kmeans_dtype
new 80e6ec2 MISC don't use private ``set_params`` method as that raises a warning.
new a0498b6 MISC don't use iris in testing as it has duplicate data entries. Add some noise to simple examples.
new da32a0a Check that scikit-learn implementation of PLS provides exactly the same outcomes than 3 R-packages: mixOmics, plspm and pls. By the way ensure that PLSRegression implements *exactly* the PLS2 algo. and that PLSCanonical implements *exactly* the Wold algo.
new ae5fc4c TEST: Fix doctest
new e7c4acc MISC added note that we need better tests
new 68e6c12 DOC typo
new 0e8e38e DOC typo
new 072cfbb ENH check if backport of sparse scipy ARPACK is needed. The backport breaks with scipy 0.11
new 65a70f7 Added mutual_info_score to the references
new baea563 DOC narrative docs for normalized_mutual_info_score
new 94fee95 DOC make formulars for clustering metrics more pleasing to the eye
new 5cbd197 ENH fix if entropy is zero in normalized_mutual_info_score
new 958cfbe COSMIT cleanup + pep8 in examples
new b22aa4f MISC extended example, fixed doc build warning
new b73d925 DOC made it more explicit that AMI is better than NMI
new 692e07d revert PLS param rename + move input validation out of loop
new dcc1c74 COSMIT + MISC pep8, pyflakes, typos and some other cleanup of examples.
new 2453600 DOC typos (thanks @ogrisel) and some elaboration in docstring.
new 079a5d4 Merge pull request #800 from amueller/less_neighbors_warnings
new 0747f47 FIXed pca example that I broke when "cleaning up"
new b22eb2a BUG chi² feature selection didn't work for COO matrices
new b17a820 ENH export f_oneway from feature_selection module
new 258f193 BUG ensure that SelectKBest actually selects k features
new 5cf3b4c ENH checked for scipy version
new be59bf9 Fix kernel pca example.
new 9b4be76 FIX #807: non regression test for KPCA on make_circles dataset
new 5f4b320 Fixed typo in documentation
new 71aa65e Merge pull request #809 from zaxtax/master
new ff4d216 Fix doctest in PLS.
new 7b75227 Rename "p" to "espilon".
new 6204829 Allow regression losses for classification.
new 3e762a0 Add epsilon-insensitive loss.
new 288a247 ENH add ``decision_function`` to ``Pipeline``
new 1c6797b Fixed some typos
new d43e8e7 Update examples/exercises/plot_iris_exercise.py
new 09c9dbe Merge pull request #814 from invisibleroads/master
new cf5ac69 Merge pull request #813 from invisibleroads/patch-1
new 8fc6a5c ENH joined tests for less duplication, checked shapes as @ogrisel suggested.
new 62f4c8c predict_proba with loss="modified_huber".
new 751da55 Update doc.
new 04cecd2 Doc: predict_proba.
new 9189efa What's new.
new 292f68d Document API change.
new e1fbe35 Easier to understand formula.
new 504956a FIX : make plot_ica_vs_pca.py deterministic (fix for #815)
new b6f8fe7 Merge pull request #802 from amueller/arpack_backports
new cf6de05 Merge pull request #812 from amueller/pipeline_decision_function
new 87389f5 FIX we need to do "LooseVersion" to support dev/git versions of scipy
new 4e19dc3 typo
new c551504 Add note for port install py27-scikits-learn
new b11c2bd COSMIT pep8
new 978ba44 COSMIT make test more explicit
new 33f758d COSMIT removed unused "verbose" option in dbscan
new b75833f COSMIT removed unused import in test
new eba29c2 FIX copy/paste error
new 67dc16d Cosmit: comment on 'clever' code
new 83d9d61 FIX removed verbose also from main DBSCAN class
new cb132cd Warn: Passing params to fit is depreciated
new ac63d30 DOC added reference to Hila's thesis, added comment about equivalence.
new 51c49c9 ENH replaced v_measure_score computation with nmi computation.
new 0ac3c65 DOC removed NMI from example plot as it is the same as V-measure
new 44ff58a COSMIT dbscan test doesn't use fit params
new c7d5293 DOC comment on normalized mutual information
new c8f8b9d DOC: testing without sklearn.test()
new 60e882f COSMIT: macports package name
new a97e6c8 ENH simplified entropy calculation
new 91fa192 Revert "DOC removed NMI from example plot as it is the same as V-measure"
new cfafb83 Revert "Revert "DOC removed NMI from example plot as it is the same as V-measure""
new a494b30 Revert "ENH replaced v_measure_score computation with nmi computation."
new c0e46e1 COSMIT typos by `git grep independant`
new 0c7a06b DOC corrected relation of V-measure to normalized mutual information.
new 36fadb2 COSMIT: better warnings
new f150b0c ENH MiniBatchKMEans: increase init_size for large k
new 33006bc MISC removed unused lines, see #666.
new 2a593ce DOC: better description of init_size
new d829f7d DOC create example section for datasets
new f47d910 DOC title for the tutorial examples
new 6f3cc74 EXMPL: fix legend in sgd sample weights
new f921e8e COSMIT rst in example
new 3698317 Add warnings and clean up tests
new 54ebafc COSMIT we no longer support Py 2.5
new 645db95 ENH adjusted examples to new matplotlib 1.1.1
new e749771 MISC don't use ``set_cmap``
new 3b3dc2e MISC use logsumexp in DPGMM for less warnings
new e924f2e FIX typos in examples
new 05e4105 typo
new ca28fde fix for #824
new 3ec174e FIX one more example
new 66d00f4 MISC trying to remove scale_C
new 4286188 MISC forgot two
new 5edfa06 DOC docs and examples have scale_C removed
new 77954f2 FIXed many tests
new 0a4db5c DOC : update SVM examples with scale_C
new 1545526 API : change back default C to 1. explicitely and epsilon 0.1
new 4fbe9c6 FIX : svm decision function test
new 3885dd8 FIX: doctests for scale_C, took some liberties
new 833fc05 COSMIT simplify a bit examples
new a721593 DOC: restructure what new
new 060669e BUG: explicit adding of libm at build
new 3c2e01f DOC some doc corrections
new 123d70d BUG test_oneclass_decision_function: fix RNG
new a707c34 ENH remove duplicate definition of "assert_lower" in tests
new 0f57bc0 COSMIT: no capitals outside of class names
new da022b8 FIX ditto (numbers are to random)
new 8a354dd COSMIT: remove print
new 690aaf1 - fix missing links to the C math libray
new b32180d BUILD: add libm onlyon posix systems
new 6ee1274 Radius-based classifier now raises exception, if no neighbors found
new f063837 Corrected some mistakes, added optional outlier_label parameter, which can be given to outliers
new 5013dd7 Fixed weight calculation from distances (1. / dist), and weight function in tests (lamda d : d ** -2)
new fab8344 MISC: simpler faster code with vectorization
new 2ce92a0 SPD: Minor speedups
new c919b7f SPD: minor speedups
new 3e5f2e5 ENH backport "assert_less" and "assert_greater", rename "assert_lower" and use it everywhere :)
new 5ad3bc6 ENH rename out_dim to n_components in manifold module
new e629d08 FIX: handle deprecation with estimator API
new 104fe38 BUG: fix assert_greater/assert_lower
new 1cf2faa BUG: fix assert_greater
new acac958 FIX assert_greater message
new 816bb28 DOC Added pipeline user guide
new 5c464b8 BUG: fix doctests
new 6c42e9d DOC: cosmits in docs
new eeb6dcc ENH use random states everywhere, never call np.random.
new 31c6745 FIX don't do anything in the __init__
new fead9ac COSMIT: only classes should have capitals
new 5bf5266 ENH: make LinearSVC copyiable
new 1eae414 TST: do not raise warnings in sklearn.test()
new df3dac7 BUG: fix testing on older numpy
new b5f1a5e WEB Added page with links to various tutorials/presentations on scikit-learn
new aa2c839 DOC added some explanation to video page
new bae4e41 DOC: cosmits on tutorials and videos
new e75dbc9 DOC: wording of whats_new
new 23c042e ENH added random_state to Gaussian Process
new caea207 BUG: use permutation rather than shuffle
new 34c2904 FIX testing: random state problem in forest testing.
new d1e34dd CLEAN sparse_encode: remove unused arguments
new 65abbb6 ENH: avoid an underflow
new 5b29e82 Revert "ENH: avoid an underflow"
new 4e3f008 DOC minor fixes to rst and image paths
new 92ab122 DOC banner 14 duplication?
new 87f06b7 DOC more minor fixes
new c2bc420 DOC: instructions on testing
new e6ecf57 DOC fix last docstring error. Don't remove redundant docstring. I dare you, I double dare you mother******!
new b93105e DOC: faster and more meaningful example
new ed58083 ENH: prevent multiprocessing in tests under Windows
new 22f2da2 DOC: avoid 2 rows of images
new 25112d0 DOC: more readable title
new 7b34fba DOC: Feature extraction vs feature selection
new ae1cfd5 DOC: image to graph utilities
new 2b287c3 FIX: bug in test_setup. Actually avoid multiprocessing now.
new 9d6a0b0 ENH: update joblib
new 6a1f2b2 FIX: wrong cover-package, misleading coverage as 100%
new 73fdf6a RELEASE 0.11
new 7806572 COSMIT typo in whatsnew
new 67cad73 RELEASE HEAD is now 0.12-git
new 7a6af66 COSMIT typo in whatsnew
new 13028c5 BUG: remove n_jobs=-1 from examples
new 42c2ce4 BUG: remove n_jobs=-1 from examples
new 5fed64f DOC: updated testing instructions
new 2652a74 Merge branch 'install-windows' of https://github.com/vene/scikit-learn
new 4ae44b0 DOC: updated testing instructions
new 5b136ab Merge tag '0.11' (theirs) into releases
new a16fc5d Merge branch 'releases' into dfsg
new a749af9 Merge branch 'dfsg' into debian
new 39efa66 Initial changelog for 0.11.0-1
new c48e0ec ENH: adjusted Format in debian/copyright
new 7d72558 Adjusted patches/deb_use_system_joblib to avoid submodule import
new 726b026 Made running unittests verbose
new f6d7f45 FIX: control RNG seeds in ICA tests
new 2114142 DOC: fix rst layout
new cd74047 MISC: clean up top-level namespace
new b2d1517 added patch up_ICA_test_seeding to "cherry-pick" f6d7f45a45d21a779d1a2d59a6f7ff30de83b76e (FIX: control RNG seeds in ICA tests)
new 7eb39fa exclude test_sparse_svc_clone_with_callable_kernel from tests
new 91293a3 DOC LabelBinarizer
new 207cd79 BUG: now build works.
new 9d1b59c DOC clarify __check_build messages
new 1b41ccb DOC: TODO items
new c9250d4 Some more non regression test on PLS
new 94a604b Merge branch 'master' of github.com:scikit-learn/scikit-learn
new b842bb7 BUG: price accidentally used instead of volume
new bd23d74 Add LabelNormalizer.
new 37ba420 Documentation for LabelBinarizer and LabelNormalizer.
new 699d832 Pep8.
new 54310a9 Cosmit: LabelBinarizer and LabelNormalizer are not classifiers.
new 530a0d7 More useful error message.
new 270bd30 Doc cosmit.
new 769c481 Add test for non-numerical labels.
new da2bf54 LabelNormalizer -> LabelEncoder.
new 86f543c Add documentation for non-numerical label case.
new 87e9e5a What's new.
new 3498e1c Cosmit: be more explicit why LabelEncoder is useful.
new b49c7e6 Address @larsmans' comments.
new 06d3fd1 P3K: 'type' has been renamed 'class' in python3
new 6a3413f P3K: Fixed dtype doctests for Python3
new 68062a2 P3K: Fixed print related Python3 errors
new 47f459e P3K : Fixed range iterator to be list
new ef7b166 PK3: __len__ returned float instead of int. Typecasted.
new cf46424 P3K : Convert int type checking to np.integer
new 9fea659 P3K : Typecasted float to int
new 704b861 P3K : Changed / to // to typecast float to int
new ad66a25 P3K: Modified RuntimeError message args
new 66ceb05 P3K : Replaced / by //
new 598dbff P3K : Refactored test cases to use setUp
new 66b9628 P3K: print back compatible with python2.6-7 with __future__ import
new 46ce069 P3K: Fixed None < Float Python 3 error
new 23e9050 P3K: Fixed unicode pickling error by changing to BytesIO
new 6592fdb P3K: Fixing prints and dtypes
new 2727820 P3K: Fixed RuntimeError.message
new 05886db P3K: more Py3k compat changes
new 45733b3 BUG: multiple jobs in dict_learning
new 4302abc Merge branch 'sgd_losses' of github.com:mblondel/scikit-learn into sgd_losses
new 85eccb9 Address @ogrisel and @pprett's comments.
new 0186ffe Fix remaining merge conflict.
new 5543303 Fix doctest.
new 611d1b5 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 6030c8a What's new.
new 508abed BUG: fix install bug for _check_build
new 065b905 BUG: casting error with recent numpys
new e27b310 Merged svm parameter selection visualization
new bec5c65 Merge pull request #847 from kwgoodman/master
new 09d4241 fix: gradient boosting regressor does not check if X is c-continous
new bc1dc1b Merge remote branch 'upstream/master'
new 5fab809 split plot_rbf_parameters.py's plot into two
new 43c39f4 Added plot_rbf_parameters example to SVM doc
new 069bf4a Fixed bug in plot_rbf_parameters.py causing only one figure to show
new 06622a9 Fixed location of ".. _svm_mathematical_formulation:" in svm.rst
new dc86f0d Merge pull request #851 from duckworthd/master
new 9a566bb Convert input dtype to float in pairwise_distances
new eef72db DOC instruct new devs to *always* work in branches
new d0b20f0 FIX inconsistent coef_.shape in LinearRegression
new e906d48 COSMIT pyflakes + pep8 linear_model/base.py
new 1ebcc4a COSMIT pep8
new a2c3112 MISC don't use fit parameters in example
new d92be8d Convert input dtype to float in pairwise_distances
new 02d1d85 ENH rename unmixing_matrix_ to components_ in FastICA
new f6c62bc Added positive constraints for the elastic net
new 3fd759f Made the code pep friendly
new 5b73af1 Added fit_intercept for sparse ElasticNet as well as corresponding test
new 9a1d501 Corrected bad comment and the use of a typedef
new 963cd8a Made code pep compliant
new c6acacd DOUBLE does'nt stand for a dtype
new a8ed0da Added utility functions for csc sparse matrices
new 4e7bcca Modified: uses utility function for sparse csc matrices
new 103ff6a Modified data generation so it can generate data adapted to positiveness constraints
new beef9a8 Removed most python function calls
new fb9d18d Removed duplicate definition of csc_mean_variance_axis0
new 56d9bc1 Made the code pep8 compliant
new 520e48e Corrected doctring: CSR -> CSC
new cc01c12 Regenerated with Cython
new 95ba957 Corrected missing import of csc_mean_variance_axis0
new c2c35da Made code pep compliant
new 892b603 Modified: in 'center_data' makes a copy only when needed
new e01dca7 Made code pep8 compliant
new 4842ebb Unified access to 'mean_variance_axis0' for CSC and CSR matrices
new 48ba97f Removed undeed functions
new 9a9ad41 TST : tesitng intercept_ between dense and sparse
new 81723cc adding alexis to authors
new 47351db typo
new 0e2fbc3 Fix typo.
new 991da84 Note regarding multilabel example.
new 5647d0e WEB: update the designer's URL
new 7b06026 ENH generalize LabelBinarizer to arbitrary Sequence types
new 1e0e330 BUG remove debugging statements from multiclass
new 6d04162 BUG in LabelBinarizer (forgot to run the full testsuite)
new 66bdd96 Note on one-vs-all classification in SGD module.
new f672984 Unused import.
new e47039d Fix warning.
new 799a2ff FIX: latex underscore
new d8c80ab Explitit cmap for background.
new c1a4b69 DOC fixed sentence that was missing a verb
new 3afedca DOC document 'labels' argument of confusion_matrix
new b1cef07 DOC fix see also in gmm
new 7e40dc7 update tip on svm C param
new 3a7fbd2 DOC: note on heat kernel for spectral clustering
new df22296 Typo
new d69c5d3 Typo
new bc9f799 started work on Huber loss function for robust regression
new 3da2c77 rm deprecated euclidian_distances synonym
new cfc2fd3 add dense attribute and dummy for sparse fit
new 01b29e5 Some doc for the example "Lasso path using LARS"
new 443929d Some documentation for example plot_ridge_path
new 855257f ENH fix and test LabelBinarizer's handling of string labels
new e04fe92 BUG: reassigning cluster centers with X sparse
new ea2bacd ENH import liblinear 1.91
new 209c046 COSMIT make a liblinear C private helper function static
new 684e9ec ensure that std is not zero
new f26d3c6 add test case for scale div through zero
new efb80b2 BUG set new p parameter in liblinear helper
new f20296a Merge branch 'master' into gbrt-huber
new 104bb82 add huber loss to test
new a170d84 implemented huber loss for robust regression
new 583ce70 fix errors in huber loss
new 2f89cd1 Added `note` to tutorial index for `doctest_mode` in `ipython`
new 7f436ab add alpha parameter for huber robust regression loss
new 8df4b2c FIX made "unmixing_matrix_" a property as @larsmans suggested.
new 8b24cbd COSMIT pep8
new 388c1af ENH rename 'k' in KMeans and MiniBatchKMeans
new 805c0f3 ENH renamed 'k' to n_clusters in SpectralClustering
new d9a6243 ENH rename k in clustering examples and doctests to n_clusters
new 8199bfd ENH fixed ``n_cluster`` to ``n_clusters`` in examples. Thanks @agramfort
new 89f8618 ENH check whether "k" was used in fit, not init, as GaelVaroquaux suggested.
new 06dcc21 BUG: k_means k -> n_clusters
new 522942a COSMIT: k -> n_clusters
new 7054c7a COSMIT: avoid deprecation warnings
new 038a489 fix: ensure X is c-continuous
new 7d89ab0 fix: make sure X is c-continuous
new 196fd69 Merge branch 'master' into gbrt-huber
new 1d63e20 MISC: os.name -> platform.system()
new 486add4 Merge pull request #869 from pprett/pls-scale-by-zero
new 4865777 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new dda0341 Merge pull request #872 from jaquesgrobler/master
new 6e2472a Remove a warning from kmeans tests
new 9c53c8c Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 2b2a893 Remove deprecation warning in sparse_encode
new ab39014 Merge pull request #873 from vene/remove_sc_warning
new 5d58089 MISC privatize/deprecate internal function of gaussian process
new 5a37086 typo
new 3cacf51 Updated mailmap
new 43278f3 Updated mailmap (bis)
new 3a25fb0 Fix a bug in the ward clustering.
new 2db03c0 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into merge_cd
new 43a363e Add a non-regression test for the bug of connectivity fixing.
new 7e7d9e8 Put conversion after component computation
new 55c7e5e Merge pull request #874 from temporaer/master
new abbec42 Added warm restart option and completed docstring
new 8e8d476 Merge pull request #858 from amueller/fastica_components_rename
new faa53bd Merge remote-tracking branch 'upstream/master'
new 9abb2c7 Python 2.6 bugfix for plot_rbf_parameters.py
new b070cff Merge pull request #877 from duckworthd/master
new 4e5f811 Completed docstrings, factorized some tests and added checks on dimensions
new 33c7633 Added test case for warm_start
new 419c6b2 Added size check on coef_init
new 4045b41 Fix test function name.
new d329227 changes to `fit` and `__init__`
new 4a12b24 decision logic removed from __init__
new a12531b API update for HMM types with docstrings
new 14ecaa1 tests updated to match API
new cb16f80 fixed example`s fit(..) to new API
new 59942ef made `diag` explicit in example
new 9c5f9af FIX: unique in old numpy
new 25bdb53 Added Pool Adjancent Violator
new 4dbe1a0 SMACOF algorithm for MDS
new 081cb87 Added tests and documentation to the smacof algorithm
new 6a218d8 PAV now uses Kruskal's first approach to ties
new f568e36 Added a new dataset: traveling distances between 17 cities in france
new 6366a8e MDS now computes the SMACOF algorithm several times, and returns the results with the lowest stress
new ec72b72 Added documentation on MDS
new fe5ac32 MDS can now run several jobs in parallel thanks to joblib - when initial array passed, MDS will also only run once. If n_init is not set to 1, it will raise a warning
new 09a002d FIX mds tests where failing because of an interface change
new d09ed68 Added docstrings to MDS
new d3f0792 Cleaned up MDS's documentation
new ebaee5a Added more documentation on the cities dataset
new 81b75a8 Fix errors due to previous refactoring on MDS
new 62a3484 Changed dataset from france's mileage to knuth's USA mileage dataset
new 5d80149 Replaced MDS US mileage distance example by a generated, more representative one
new 096e792 Added paragraphs on metric and nonmetric MDS, explaining the difference
new 5b53e8d MDS: out_dim → n_components
new c7b4e25 MDS: added documentation for n_jobs parameter
new 518fe78 MDS - fixed some latex error in the documentation
new 3a55480 Added a fit_transform method to the MDS class
new 0ee486f Pool Adjacent Violators now does a max_iter number of iteration
new e2e545f DOC: added references to papers and licence - fixed the MDS example
new 06fc359 a += a.T is different from a = a + a.T
new 73b98d4 Small explanation on the plot_mds example
new d3cb559 np.diag raised a red flag - used broadcasting instead
new 4707152 Set the seed of the random_state generators to have nicely aligned results
new 0619753 Knuth load_cities dataset isn't used anymore
new 6b6fb39 COSMIT in plot_mds.py example
new 797605a DOC: misc improvements in MDS docs
new c4d2fe0 MDS: renamed positions_ to embedding_
new 7a0511c Added MDS to manifold comparison methods
new d26c7cf MDS: documentation fixes
new ea6bac3 FIX: load_cities doesn't exist anymore
new 25bffd9 DOC: minor MDS doc/example changes
new 468dcaa MISC: update whats_new with MDS
new 5d5c07d Made code pep8 friendly. Used random state with fixed seed.
new 4f8bb77 Made code pep8 friendly.
new fab9857 added feature subsampling to GBRT (via max_features)
new 48a08d7 fix: forgot comma
new c696ce9 added test for max_features
new 3e45173 COSMIT pep8
new 2e08435 FIX typo in example. My bad.
new a682c9a FIX renamed what was `components_` to `sources_`
new 18c7cf1 COSMIT rst error
new b6b564d fix: alpha needs to be scaled by 100
new c039766 COSMIT fixing doc building errors.
new 6a4f214 COSMIT typo
new 4bcf9f4 Merge pull request #776 from amueller/normalized_mutual_information
new 5a24da5 Merge pull request #868 from larsmans/liblinear-1.91
new 86baa8a ENH "fit_pairwise" for spectral clustering.
new 28fd13f ENH Starting on affinity propagation
new faea50d DOC typo
new 7054701 DOC Improving docstring for SpectralClustering
new 1d88edc ENH fixed affinity propagation test. Need more tests.
new c39ad04 ENH fit_pairwise, transform_pairwise for KernelPCA
new 37dbc5b ENH base svm has fit_pairwise and predict_pairwise.
new 4f11178 ENH fit_transform_pairwise for KernelPCA
new d91cf3c ENH isomap uses new interface.
new 8903668 COSMIT get rid of debugging output
new 9f20a9c ENH GridSearchCV uses the new API
new a26edc4 COSMIT forgot one print...
new 5072bb0 DOC Deprecation warning with removal version 0.13.
new ef82d75 ENH going for a universal property ``_pairwise`` instead of many functions.
new ac1fb00 ENH Cleanup
new 6c21e25 FIX Fixing rebasing problems...
new f93d94a COSMIT avoid errors in tests.
new 3e5f482 FIX : use RandomState rather than global seed
new e3369c1 ENH slight improvement to mds speed, modified examples to not run mds that long.
new dc01ed3 Faster confusion_matrix implementation
new b6e38ce ENH added old confusion_matrix implementation as alternative for few labels.
new 4eedded ENH support opening compressed files in SVMlight reader
new 9a2534f Merge pull request #881 from amueller/fix_ica_components_rename
new 6d9a864 FIX: fix buildbot ICA pb
new 1deddaa Fix a few spelling/grammar errors in the docs
new ef8ec5c Merge pull request #887 from danohuiginn/master
new a06a14a Fixed typos, spacing errors & updated `Whats New`
new d29211d fixed broken GaussianHMM documentation generation
new 93eddef correct some wrong fixes
new 8cf5896 BUG fixing bug in entropy that I introduced, adding regression test.
new de7eb72 FIX faces_decomposition example. That this broke only now is a sign of deep magic, better left unexplored.
new eeac6fb Merge pull request #888 from jaquesgrobler/master
new 9f33581 DOC removed irrelephant/confusion reference, added pointer to source (as there is no other possible reference).
new 4366766 DOC user guide pdf building. Kicked out a formular that rendered neither in html nor latex. Please don't hit me.
new dd6d6b1 Merge pull request #876 from alexis-mignon/master
new f26e237 ENH: make_regression supports multiple targets
new 3c02e6c Update make_regression return shapes in docstring
new f59f72a Merge pull request #889 from vene/generate-multitarget
new 7078bce add dense attribute and dummy for sparse fit
new 9462086 Merge branch 'merge_cd' of https://github.com/ibayer/scikit-learn into merge_cd
new 8f8f1c0 Merge pull request #875 from AlexandreAbraham/ward_coo_bug
new aa8354a wip: added quantile regression loss; this allows for prediction intervals; adopted the GP regression example to show-case prediction intervals
new 14b5c05 added title to example
new 3d32de1 FIX : fix a division by zero in LARS #63
new a087e29 performance improvement for random split (ctyped two variables).
new 505abb4 import random split
new 84ff4dd support of sparse input data added
new 3689c44 tests of sparse coordinate_descent applied to the modified dense version
new f09c98a -remove sparse option - decision function does not change state anymore
new 8f397b6 remove sparse_coef_
new 84ddd60 Test is redundant since _set_coef function as been removed.
new a7f7859 add property for sparse_coef_
new f1663e4 add test for sparse_coef_ property
new cce7889 docstrings updated
new 91a5b42 merge cd_fast and cd_fast_sparse
new 313bf63 remove redundant tests
new 934f954 remove redundant files, functionality has been moved to cd_fast.pyx
new b281561 code removed and deprecated message added
new 0586bfe fix docstring example
new 4f9e956 Merge pull request #892 from ibayer/fix_mldata_docstring
new 069213c COSMIT pep8
new 2cc0af8 MISC raise more helpful error message in GaussianProcess if optimization fails.
new 294d4b6 MISC added bigger "tiny" in lars_path. least_squares is float32.
new 82d795f MISC reduce code duplication, fix "self.gamma" modification
new 028a33e MISC A bit more cleaning up in BaseLibSVM
new f2603f7 add test to check normalize option in sparse enet
new 3e98b44 Revert "remove redundant files, functionality has been moved to cd_fast.pyx"
new b8ec5c4 Revert "remove redundant tests"
new 096e3e0 add sparse_std that has been wrongly removed in commit 48ba97f1 from the sparse version
new 2e4d442 update sparse_std call
new f3f3892 some tests didn't use the numpy sparse matrix as input data and therefore tested the dense and not the sparse lasso and enet
new 4587d60 make sure X is of dtype float64 in _sparse_fit
new bfc1671 change input to inplace_csc_column_scale
new f513dbd modify test_normalize_option
new 91ea012 test data changed for test_normalize_option
new 533729b remove redundant folders in linear_model/sparse
new c5a7eff trailing space
new 420144a add missing attribute estimators_ to the docstring of forest models
new 78595aa FIX #898: narrative documentation for feature importances in forest models
new eb63974 FIX: C range in plot_cv_digits
new 3b32420 remove unused imports
new 91f1013 fix pip8
new fae2f13 move sparse_center_data to linear_model.base
new 88929a6 avoid copy if X has proper type, modify docstring
new 55862c1 Merge pull request #891 from ibayer/merge_cd
new b15401f KNeighborsClassifier now has a predict_proba() method
new 7bb3c6d reversed changes to KNeighborsClassifier.predict()
new 3e0810d FIX : cleanup classes.rst + pep8 after merge of coordinate descent
new 8b5142a an simple test case for KNeighborsClassifier.predict_proba()
new c2e5a45 Merge pull request #900 from kernc/neighbors_predict_proba
new 35dbb6e DOC added "fetch_mldata" to references.
new ddb7b4d ENH always support file descriptors in SVMlight loader
new 1af8520 FIX : fix predict_proba in KNeighborsClassifier for old numpy
new 3f1b189 CLEANUP remove linear_model.sparse.setup.py
new fb714df Fix #904.
new 5709d53 Removed needless method redefinition.
new e2ce08e DOC typo in docstring
new 669bbf2 BUG do not close fd passed by user in SVMlight loader
new 55df2a7 COSMIT pep8
new 127415b DOC rename lambda to alpha in plot_lasso_model_selection. Closes #903.
new 6bbdcfa TESTING check that SVC checks the shape of precomputed kernels.
new 7feff8c Fix: RidgeClassifier must not inherit from RegressorMixin.
new 878ddaf test for quantile loss function
new 688b612 Use BaseEstimator for constant predictors
new 5b67d11 cosmit
new 7e2ffbf huber and quantile loss for gbrt
new 09674ee Clean up unused code.
new 5f1f60d ENH Check that X is non_zero for MultinomialNB.
new 1832641 better docs for quantile reg
new 4e7d996 ENH fixed doctests, addressed comments.
new 727429a FIX NearestCentroid.fit could not handle sparse formats other than CSR
new 5314954 DOC typo
new 802ed82 Merge branch 'master' into gbrt-huber
new cf20230 DOC improve kmeans init doc.
new 8ea9262 Merge remote branch 'upstream/master' into gbrt-huber
new 9f9fe4f Modified chi2 kernel approximation such that it deals with zero elements
new b12076a kernel approximation: simplified mangement of non zero elements
new adcf1cf Merge pull request #894 from amueller/svm_sparse_dense
new 2d8ffc7 DOC fix dead link
new 0984cf6 For the sake of clarity, creates new temporary arrays instead of copying the same one several times.\n Modified error message for negative valued arrays.
new 34cb85a pep8 compatibility
new aa33e0e FIX more doctests that I broke.
new 2e89eeb DOC comment in whats_new on changed behavior of ``gamma`` in SVM
new db0475b Merge pull request #914 from alexis-mignon/master
new 37cadf0 Merge branch 'master' into fit_pairwise
new 537911e MISC callable kernel gridsearch fix...
new 67dee7b DOC + COSMIT additive chi² sampler
new 11e9842 ENH scipy.sparse support in additive chi² sampler
new b2e3858 DOC output from additive chi² sampler
new 4f1e871 ctyped variables in ``find_random_split`` and use for loop over index range instead of array elements
new 3ca2c71 Merge branch 'master' into gbrt-huber
new a25522e ENH: MultiOutputTree (wip)
new 4918692 fix: np.arange dtype issue; fix dtype to be np.int32
new 863d53c ENH factorize common tests.
new 1e9c337 ENH don't list abstract base classes
new 26c31bf ENH make base classes abstract meta classes
new 86cedaf ENH make all Estimators default constructible (except SparseCoder)
new 04d8160 ENH Add MetaEstimatorMixin, make RFE default constructible
new 520da07 ENH make GMMs and LLE cloneable.
new 7cdeecf COSMIT get rid of warnings (can't get rid of deprecation warnings only :-/)
new 21c0d1a ENH make BaseLabelPropagation abstract base class, make OutlierDetectionMixin not inherit from ClassifierMixin
new 282d267 BUG fix testing for abstract classes
new f71185d ENH default score func for univariate feature selection: f_classif
new ee7d78c Make sparse svm base class ABC
new 30d6246 FIX better class selection, more strict testing.
new 7a585e4 ENH more tests
new 310a8ce MISC raise NotImplementedError instead of value error in decision_function of sparse SVM
new c02938f ENH do zero mean, unit variance on iris, don't test naive Bayes (for the moment)
new cd0b531 ENH change defaults on SGD (works on digits and iris and I just guessed them). Turned up alpha and n_iter. This corresponds to more regularization and more carefull SGD. On which kind of problems do the old defaults work?
new f0026be ENH avoid division by zero in LDA, also avoid reusing variable names.
new 4264acd MISC don't test SVM for the moment, rest works :)
new bab0539 ENH make LinearModel and LinearModelCV abstract base classes
new 6aa167c ENH test regressors
new 5338bda MISC shuffle iris for SGD based methods
new a44318a Revert "ENH change defaults on SGD (works on digits and iris and I just guessed them)."
new ddf5693 ENH Fix seed that makes SGDClassifier work.
new 971d131 ENH create BaseRidge base class
new a93e0af ENH test more shapes, test non-consecutive classes, test accuracy on test set
new a3e86dc use np.int32_t instead of Py_ssize_t
new 773ea6c Merge branch 'master' into gbrt-huber
new 7ce5b22 FIX: sparse ElasticNet tests that were not testing much at all
new 94708a3 FIX minor rebasing and other problems
new bd94b49 MISC cleanup common testing
new 549d82f Merge pull request #893 from amueller/common_test
new 4728c79 Merge branch 'master' of github.com:scikit-learn/scikit-learn into tree-mo
new c210c0b FIX for filtering of meta estimators in python2.6
new 163d777 ENH better input validation for prediction in SVC, LinearSVC.
new e3f62d2 DOC Also added some notes on my recent merge with tests and stuff to the whatsnew.
new de8a370 added test that fails because Scaler.fit changes a sparse input vector when Scaler is initialized with copy=False
new 7bd5fb5 removed bug in Scaler.fit
new 7cb9468 improved test_scaler_without_copy
new f09a2f6 Merge pull request #921 from fhoeni/scaler_bugfix
new eac35cc ENH: Multi-output decision trees
new 064a48c ENH: Regenerate .c file
new 74bf03c FIX: graphviz test
new 55dbb49 Merge branch 'master' of github.com:scikit-learn/scikit-learn into tree-mo
new be8ea69 FIX: test_classification_toy
new afacf44 TEST: test_multioutput (1)
new 7e41cf2 MISC fixed random seeds in LLE tests.
new 8792cbd Merge remote branch 'upstream/master' into gbrt-huber
new 6cf4d26 TEST: test_multioutput
new cf09064 use dtype float32
new b22b1f6 ENH: make forests support multi-output
new 7b6ef37 TEST: test_multioutput
new 5ee718c ENH: Patch GradientBoosting
new 41cd38f ENH: Patch GradientBoosting (2)
new b4131f9 FIX: log_proba + DOC
new d560372 DOC: What's new
new 9f7a0dd PEP8
new 0cae649 ENH: graphviz
new 36fd9c3 proper pylab import
new e00d789 DOC: narrative documentation
new 358884a DOC: typo
new c549cb6 DOC: Scikit-Learn -> scikit-learn
new 0d4719e ENH: Cython improved code
new 18a2e23 ENH: Cython improved code (2)
new 5333afa DOC: narrative documentation
new f178fe6 FIX: use and modify own y
new b14c23a COSMIT
new 071cdb0 FIX: heisentest for robust covariance: seed MinCovDet
new 6e9c271 FIX: fix grid search when X is list #925
new 5ec4a0a Merge pull request #926 from agramfort/fix_X_list_grid_search
new 309173b Merge branch 'master' into gbrt-huber
new 37b440e ENH do not fail the test reslying on numpy div 0 warnings if those are not spit out by numpy in general
new f0961c2 Merge pull request #928 from yarikoptic/master
new f1bdd99 FIX: segfault
new f11ff94 DOC: Example
new 264737e DOC: typo
new 386631e DOC: example
new 91963b8 DOC: typo
new a08a910 DOC: narrative documentation
new 5d9f2ff Patch up_inconsistent_numpy_warnings
new 4918c9c Patch up_MinCovDet_test_seeding
new 114822b Changelog entry for 0.11.0-2
new 5a27534 reversed the order of the thresholds array
new a2170a5 BUG: address ill-conditionned designs in Lars
new 46bbddd Cosmit: PEP8 :P
new 9f7a0ec Merge remote branch 'upstream/master' into gbrt-huber
new 4689d69 added test case for symbol labels
new 545f324 y must be one dimensional
new 549c0d0 more tests
new 4dd43fc DOC: docstrings for criteria
new 89f7276 metrics.py
new a4974cb DOC: docstrings
new 41c5df9 test added for this
new 89cb705 removed quantile regression example
new 6fee3da added max_features to gbrt regularization example
new abdfcfc fix: section label for gbrt was wrong
new 51661e7 FIX #937: preserve double precision values in svmlight serializer
new 3edc52b add a what's new entry
new 886b6b2 fixed typos,updated `whats new`
new 637ab82 added multi-ouput tree example
new f87f518 typo fixed in what`s new
new 75c4415 Merge pull request #932 from jaquesgrobler/master
new 81a1f90 updated documentation to reflect multi-output DT regression
new e5a61dc Merge branch 'master' of github.com:scikit-learn/scikit-learn into tree-mo
new 94a5f3f added link
new dc8e65a Merge pull request #3 from bdholt1/glouppe-tree-mo
new 9cf0a7c add quantile example again
new e9590b6 added new features to whatsnew
new 1d4c087 Merge branch 'gbrt-huber'
new 532c54c Merge branch 'master' of github.com:scikit-learn/scikit-learn into tree-mo
new f14601a DOC: format
new aad531f Merge pull request #923 from glouppe/tree-mo
new 886945b Fix broken bot (sorry for that!)
new e462bb4 Fix broken bot (again ;))
new 8f55a18 Merge branch 'master' of github.com:scikit-learn/scikit-learn into tree-speedup
new 6b94adc Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 1864bca COSMIT pep8
new 0240e3d work on smmlight serualizaer to preserve double precision values
new 6b34e14 track master
new 285d9cc Merge pull request #938 from ogrisel/svmlight-double-precision
new d2625bb DOC: What's new > Missing links
new 60464de Merge branch 'master' of github.com:scikit-learn/scikit-learn into tree-speedup
new e122dc0 Tree refactoring (1)
new 3786458 Tree refactoring (2)
new 3054660 Tree refactoring (3)
new f3b203c fix typo
new b07dfaf Typo fix
new 57162d9 Merge pull request #945 from cpa/master
new cd3df54 ENH: faster design in FastICA
new 6c3f16d tree: check length of sample_mask and X_argsorted.
new 0ee5568 Cosmit: PEP8
new b7e3b6e COSMIT: intermediate variable
new e976713 Tree refactoring (4)
new 0015350 Tree refactoring (5)
new db9cb78 Tree refactoring (6)
new a868024 Tree refactoring (7)
new c9ac2ff Tree refactoring (8)
new 30f62f2 Tree refactoring (9)
new 1e5aac8 Tree refactoring (10)
new a29897d Merge branch 'master' of github.com:scikit-learn/scikit-learn into tree-speedup
new 516d292 DOC: fix typos in tree docstrings.
new 89f8e12 Merge pull request #948 from mrjbq7/trees
new 1bb8526 Merge branch 'master' of github.com:scikit-learn/scikit-learn into tree-speedup
new a4d4bb6 DOC: fix value error text in Tree.compute_feature_importances.
new 0e3cbbd Merge pull request #950 from mrjbq7/trees
new df04b4c Merge branch 'master' of github.com:scikit-learn/scikit-learn into tree-speedup
new 2347423 ENH: Tree properties
new b6e68a3 Tree refactoring (11)
new c9da1f4 ENH: make Tree picklable
new cd7b5af added alternating columns for tables in documentation and a tighter layout in pre
new 13cad8c Tree refactoring (12)
new 6bc9b82 Tree refactoring (13)
new f1410e5 FIX: avoid useless data conversion
new d656721 FIX: avoid useless data conversion (2)
new 16165c0 Tree refactoring (14)
new f482ebc Tree refactoring (15)
new ec38852 Tree refactoring (16)
new 2b72a1a FIX: @mrjbq7 comments
new c08f40b Tree refactoring (17)
new 30f0a03 Tree refactoring (18)
new b6d9492 FIX: sample_mask
new 4d43fcc Merge branch 'tree-speedup' of github.com:glouppe/scikit-learn into tree-speedup
new e91c341 Merge pull request #953 from jaquesgrobler/nature_css_addons
new 001a681 COSMIT pep8
new b463f8f ENH in OvR, use constant predictor if one class always present or never. Closes #559.
new 839c4b0 MISC address Gael's and Lars's comments, make ECOC tests deterministic.
new ed2721b Begin updating the developers performance documentation
new 0613f83 ENH: backport gen_rst changes from NISL
new 310ada3 FIX: init/del => cinit/dealloc
new 349a1e4 Added _tree.pxd
new e88f560 Update and fix errors in memory profiling documentation
new 1f282c6 FIX: gradient boosting (1)
new 2436bf2 COSMIT
new 2fe48dc Tree refactoring (19)
new 923e471 FIX: PyArray_ZEROS -> np.zeros?
new 2eb9e2f FIX: gradient boosting (2)
new c59ee33 Tree refactoring (20)
new 38ddb3d What's new
new 3015731 PEP8
new 5c3aa7f [Docstring Typo] making there -> making their
new 918b9e1 Merge pull request #956 from Carreau/patch-1
new 669c980 COSMIT
new d4dc61b FIX trying to fix long-standing linker issue
new 463ea61 Turn off warnings
new 734cf7d FIX: test_feature_importances
new 1e0be6d ENH: minor speedup in Ward
new 999a749 ENH: factor 2 speedup in Ward
new 2562842 FIX: test_feature_importances?
new 316424d ENH: minor speed up in ward
new 5d8a941 ENH: minor speed up in Ward
new f865bc7 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 6027252 ENH: add store_loo_values attribute to _RidgeGCV see Issue #957
new 29d5dc2 FIX: expose loo_values_ in RidgeCV instead of the private _RidgeGCV
new cfb6510 COSMIT: rename M matrix to loo_values
new 129fd7b COSMIT: -loo_values +cv_values
new c70afcb FIX: use rng with fixed seed
new 78517a3 COSMIT: Use np.array.fill for scalar values.
new c6aa568 TEST: disable test_feature_importances for now
new a2bb8f7 Merge pull request #946 from glouppe/tree-speedup
new 44c503f FIX: dtype conversion of y
new e25fa50 EXAMPLE: plot importances with bars
new 9ad5d32 docstring fixes
new 57d49e7 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new f397adb Merge pull request #969 from jaquesgrobler/master
new 38c3c30 COSMIT refactor input validation code and tests
new 1426087 COSMIT + DOC input handling and docstrings in RandomizedPCA
new a484535 ENH classes_ on OvR classifier
new a30da06 Issue #339: minimizing number of calls in tests.test_hmm.
new c50fa29 COSMIT pep8
new bbd1350 Merge pull request #971 from acompa/master
new 4fff8ed trying out some testing stuff
new c1c734a ENH put atlas checking in one place and load from there.
new 69bef87 DOC typo / wrong parameter in lle docs
new bb92f9a Improve test-coverage ;)
new be8319f DOC typos
new fb9b7ce COSMIT remove some dead code
new 4a579f8 BUG remove predict{_log,}_proba from SVR
new f6bd86e COSMIT cleanup tests with pyflakes
new bf990e2 COSMIT some RST fixes for the docs
new 911a3c4 Remove empty statement
new 2530791 ENH better input validation for dump_svmlight_file
new e1ba110 ENH make generated SVMlight files self-describing in a comment
new 3472967 change dtype of y to float64 (aka DOUBLE_t)
new 2cce14c cosmit: better docstrings
new ea8c899 forest uses DOUBLE for y
new 7896f72 COSMIT don't call magic methods directly
new b8ad24e Update doc/support.rst
new 180312b DOC doctest failed on my box because I had higher precision...
new 78ecda6 COSMIT typos in covertype benchmark
new b9098ef Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 398ed37 Merge branch 'master' into tree-y-float64
new 35b24ca ENH allow user-specified comment in SVMlight dumper
new 494dd74 Fixed broken links on Support page
new 5000ef0 Fixed broken links on Support page
new b6c8776 Merge pull request #974 from jaquesgrobler/master
new 5a43dfa This test repeats issues 960, with the silhouette coefficient returning nan
new 2522de0 nan values are converted to zeros
new bbc6b80 k-means now no longer needed in test.
new 91c6c3b Distance matrix doesn't matter, and was therefore removed
new c72600d MISC: avoid unprotected np.random
new 8f71eb7 DOC: better phrasing about memory profiling
new ae82bc7 rm the long-deprecated scikits.learn package
new d9226d0 Merge pull request #886 from amueller/multiclass_always_present
new c24702e rename mahalanobis_values to raw_values in covariance decision method.
new 53b4e93 ENH: make LedoitWolf estimation scale (memory usage) with n_features.
new f3fc229 The LedoitWolf object has to return a covariance estimate or breaks.
new 2e5f874 Put Ledoit-Wolf shrinkage coefficient estimation in a separate function.
new 7b34256 Avoid extra computations + clean `assume_centered` argument use.
new b3d3c2a Remove forgotten line related to previous commit.
new c9d7c05 Catch non-invertibility errors within MinCovDet computation.
new c6d92aa TST: testing without hard-coding the values
new 3fdd1e3 TST: test on diabetes rather than iris
new cc7937e Cosmit
new d41b02a BUG: example now needs 'assume_centered'
new 6aa7450 ENH: using slices rather than indice masks
new c76f4f5 ENH: avoid unecessary steps (covariance)
new 6aaf15f Cosmit: more explicit names
new 9150354 FIX: remove leftover print
new 4915d4d ENH: sklearn.setup_module to preseed RNGs to reproduce failures
new f96e352 Note on control of the RNG seed during testing
new 8db2065 FIX: added logsumexp and nan_to_num to avoid underflows and NaNs
new 09a7d78 Begin updating the developers performance documentation
new 4c53380 Update and fix errors in memory profiling documentation
new 0a8dbbe DOC: better phrasing about memory profiling
new cc7f96c DOC: cosmit performance instructions
new fbcde2d Merge pull request #955 from vene/mem_prof
new f293630 TST: test check_build
new 408d3ef COSMIT, removed scikits.learn things, removed orphan file.
new 9300d96 ENH trying to catch that damn thing.
new b90a30d ENH better error messaged in multiclass as @mbondel suggested.
new bebe5de ENH: remove setuptools
new 73b7663 ENH: restore 'develop' mode install
new 0df89f0 FIX: remove executable bit on joblib files
new 4701319 TST: improve coverage of feature_selection.SelectorMixin
new af2602e BUG: fix setup.py for develop
new f8c19f9 COSMIT suppress warning from qr_economic + docstring on Counter
new 8074524 Test default input.
new 3fe5875 Credits and license.
new 73a274e Added test to sklearn.utils.bench's total_seconds method
new e80efe6 Improve covariance module test coverage.
new 4ffe0a8 More tests for the covariance module.
new 68693b8 BF: adapt a svm test to recent numpy versions.
new e8af7c6 Test for "amg" mode for spectral clustering added.
new bddf256 docfix: spectral_cluster doesn't return n_centers
new bbc8038 pep8
new 26dd857 Spectral will raise an error if the mode is set to amg and pyamg is not available
new 993b6b4 Test that an unknown mode raises the appropritate error
new 3b15f44 TST: test the setup.py using the configure step
new 2fd7813 MISC cleanup old coverage info in Makefile
new d8e30f1 REF: hack to be able to share distutils utilities.
new 4e1912a TST absolute imports in spectral clustering tests
new 1a5e4c3 ENH more specific warning filter for qr_economic
new bb73ff8 Merge pull request #1 from cournape/linking_arrayfuncs
new d0d9588 ENH corrected errormessages for always present labels. ugh
new 48055de FIX doctests for changed dtype
new c88a667 ENH fixed warning for output code
new fd2283f FIXed another doctest.
new cc834d8 ENH add verbose warning about too little trees for oob. Should we catch the divison by zero warning for classification?
new 066108e DOC made the pls example plots so much prettier
new 7a86168 ENH: Faster ward for large n_clusters
new 7bc92af BUG: fix ward tests
new df1e711 DOC: ward docstring and testing
new 99f5813 TEST: improve test coverage in hierarchical
new 8022008 FIX: make ward_tree work on 1D data
new d30eea0 MISC: very minor speedup
new 9dbc576 COSMIT: remove left over profiling
new bdb32d4 TST: More testing in hierarchical
new 5ad4d0e TST: test TypeError in Ward
new 6d0c727 TST: more tests for hierarchical
new 01cf172 DOC: notes on improving code coverage
new ecda4de COSMIT: explainations of the partial import
new 446611d MISC: build_utils: module rather than a subpackages
new 9457f0c ENH: use sklearn.__version__ in setup.py
new b5519f0 Merge branch 'linking_arrayfuncs'
new 6de8466 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 9cfdff5 missing pl.show() in plot_digits_agglomeration.py
new f01907d TST upgrade trivial (single-class) k-NN problems to binary ones
new c389d7d Cosmit: comment
new 01572bf TST: fix doctest
new 6a37b8f Update whats_new
new d4a020b Clean: remove debug print
new 3c73706 PEP8
new 6c4ca28 Typos
new 1601b27 Merge pull request #983 from GaelVaroquaux/faster_ward
new f4882b5 DOC + TST vocabulary arg in CountVect docstring
new 7c8f435 COSMIT move BaseSGD to its only place of usage
new b3bedb5 DOC: add tutorial links
new d6d9ec0 Update doc/whats_new.rst
new ee55901 Update doc/whats_new.rst
new 0695e83 MISC : update my web site URL in what's new
new 913e222 COSMIT minor refactoring of SGD
new 44d57bb Typo.
new 7db59b1 feature_extraction.text.CountVectorizer analyzer 'char_nospace' creates character n-grams but only inside word boundaries, e.g. 'this is it' to 3-grams: ['thi', 'his', 'is', 'it']
new 8b2893e Oneliner docstring
new e83fe8b words for n-grams padded with one space on each side
new 9f0ec0b missing unicode modifier
new ed89ddf replaced str.format() with string concatenation as it's 3 times faster
new 08338cf char_nspace -> char_nospace, thanks Lars
new da96817 DOC tutorial: explain what an estimator is
new 6f54691 Check that feature indices are sorted.
new ef8aa40 Add missing test file.
new 5c3853c Merge branch 'master' into fit_pairwise
new 242e553 Fixed merge problem
new 440cafb ENH Removed stupid ``_pairwise`` property in BaseEstimator.
new d0e21ac MISC minor cleanup in spectral clustering
new 9a52077 FIX/TST test anc fix grid search with kernel pca and precomputed kernel in pipeline.
new 9ddb180 COSMIT comments not docstrings in tests
new 194b0f1 Merge branch 'master' into fit_pairwise
new 5a7a1a1 TST precision issue on my windows box :-/
new dcbf5a6 ENH : MultiTaskLasso works (still draft)
new 371f49a FIX : fix docstring in MultiTaskLasso
new 287898d ENH : add multi task lasso example
new 21706e3 ENH + DOC : add MultiTaskElasticNet + doc + 1 example
new 243233c update what's new
new 8999e4f FIX : support 1d y in MultiTaskFoobar
new 02446b8 rename ylabel in MultiTaskLasso example
new 955c8ef moving MultiTaskLasso doc after E-net
new 86e3616 FIX : remove unnecessary dgemm in cd_fast.pyx
new 0819b10 BUILD: add gemv cblas routine
new 4bcf28d BUILD: add dger cblas function
new 0d50313 BUG: keep same shape for y in MultiTaskLasso
new dab7dcf DOC: explicit MultiTaskLasso.coef_ dimensions
new a7aed50 DOC: formatting and rephrasing in MultiTaskLasso
new 6df5d76 ENH slight cleanup in LDA, QDA, support for arbitrary class labels.
new 8dae4c6 ENH use LabelEncoder
new bb6b45d COSMIT typo in pairwise docs
new 7ff81e4 DOC added LabelEncoder to the References.
new fcced58 Optim in LabelEncoder.
new ba78c11 Fixed small typo, even though the message is kind of the same and the one with the typo is waaay funnier.
new 97eacbe Merge pull request #1001 from serch/master
new a746332 FIX - the eps option of the MDS was overwritten
new eedb105 Merge pull request #1005 from NelleV/MDS
new 9bf746c COSMIT: doc fixes to sklearn.feature_selection.univariate_selection.
new a733f3b COSMIT: fix typo of homoscedasticity.
new 8b29486 COSMIT: fix reference to scipy.stats.kruskal.
new ce856db COSMIT: fix more typos.
new 0a2d8b6 Merge pull request #1008 from mrjbq7/doc-fixes
new 82a762f COSMIT pep8
new a12bd7b ENH: understandable error message for X sparse
new cd3745a FIX : catching pb with sparse input in MultiTaskElasticNet
new 45b88b7 ENH just a little more input validation testing
new b0c08ee DOC added default value of shrink_theshold to NearestCentroid docstring.
new fdf6bfa DOC added ``lowercase`` to CountVectorizer docstring.
new c41b03b FIX feature selection dies on non-csr sparse matrices (that are unsubscribable). Regression test should go in common testing.
new a93945a DOC added class_weight to LogisticRegression docstring
new 8d0b71c ENH auc_score and average_precision_score. Closes issue #158.
new 320035e ENH added to ``__init__.py`` and references.
new fd171dc We already have the inverse at that step
new 0b8b4e0 Replase pinv calls with dgetri
new ba4f3ed DOC explained RFE default behavior in docstring.
new 22531a3 More lapack inverting
new 23e1c06 MISC Added unconfigured windows box to mailmap. Sorry about that.
new 1f0daf9 DOC add parameters to TfidfTransformer docstring
new b346184 changed 'char_nospace' keyword to shorter and meaningful 'char_wb'
new 27164f5 some narrative documentation...
new 08f00a0 BF: Make MinCovDet work with n_samples >> n_features.
new 44173ac Merge branch 'cov-speedup' of https://github.com/vene/scikit-learn into cov-speedup
new 3d6b4aa Add comments on optimized precision computations.
new 0b7c93c ENH slight cleanup in LDA, QDA, support for arbitrary class labels.
new 53c1126 ENH use LabelEncoder
new 9ecca83 FIX Removed code-duplication introduced in rebase.
new d4ff4f0 FIX Fixed variable names. Thanks @mblondel
new 3d8c5df DOC Added wikipedia references to docstrings
new 4c3532a mentioned 'char' vs 'char_wb' in the narrative
new 05dd59c Merge pull request #1013 from amueller/auc_score
new 0d0d3e7 Refactored fast_pinv without lapack calls
new e5af8e4 DOC Updated whatsnew
new 46ebdd4 Compute pseudoinverse using eigendecomposition
new bdc7069 Merge branch 'cov-speedup' of git://github.com/vene/scikit-learn into vene-cov-speedup
new d2722a4 speed up symmetric_pinv
new be68d3a additional speedup: all eigenvalues are real for symmetric matrix
new 79ced0e Vectorize singular value inversion
new fb167da Remove unused import
new 55bc245 changed shape of predict_proba
new bd9cece adopted tests because of changed shape of predict_proba
new f97629c adopted tests because of changed shape of predict_proba
new 2bec0d7 cosmit in sgd docs
new 5d38957 added change to ``whats_new``
new 53ec265 Merge branch 'master' into cov-speedup
new d16c9d4 Merge remote-tracking branch 'VirgileFritsch/cov-speedup' into cov-speedup
new d917149 Merge remote-tracking branch 'jakevdp/vene-cov-speedup' into cov-speedup
new c520275 ENH sparse matrix support in univariate feature selection
new fc3cdc7 TST Simplified tests, test that sparse and dense versions give the same result, always return arrays, not matrices.
new 00aa089 DOC Polished some docstrings
new e95d461 ENH Added copy keyword to safe_sqr, added to dev docs.
new 1aec782 COSMIT Fixed commata
new 52b1bef ENH Addressed @mblondel's comments.
new c789e3c ENH simplify as @mblondel suggests
new bef749b ENH sparse matrix support for RFE and RFECV. Closes issue #1018.
new e8a0167 DOC updated whats_new
new e4aefd6 add quantile regression example to gbm doc
new c8dde78 Remove needless loop in inverse_transform.
new 0017782 Update and rename pinvh (by @jakevdp)
new 755a5dd ENH going back to not using LabelEncoder.
new 3a1aaf9 Merge branch 'qda_lda_1000' of github.com:amueller/scikit-learn into qda_lda_1000
new 8e0528d Merge pull request #995 from kernc/CountVectorizer_analyzer_char_nospace
new f779301 Simplify LabelEncoder.fit_transform.
new 6998a0e fix broken doctests for the new char_wb text analyzer
new 17a09c5 Fix warnings in multiclass module tests.
new 59bc583 Cloned @jakevdp's pinvh tests
new 8918f37 Merge pull request #1000 from amueller/qda_lda_1000
new 6ba3de1 DOC: better narrative for char_wb text analyzer + add a whats_new entry
new bb90d67 Remove duplicated line.
new 2eeb3a7 Remove odd-looking period in tests
new 641d38f TST: change LLE test to stable seed
new ba07ae2 DOC: fix documentation of arpack
new dc0734e typo in linear_model doc
new 2fe9b06 ENH add verbosity parameter to cross_validation_score
new c583e39 MISC catch warnings in covariance tests
new 70caf15 Use pinvh in plot_sparse_recovery example
new ad3587e grammar
new c2a73f4 Use pinvh in bayes.py
new d8be1c3 Typo in last commit :-/ sry
new 30c30f6 Use pinvh in GMM and DPGMM
new 3990e13 ENH catch expected warning in ward clustering
new 47c1562 ENH renamed ``min_n`` and ``max_n`` parameters in CountVectorizer to enable gridsearch over them together.
new bf787ac ENH renamed parameter bounds_n to ngram_range, fixed doctests and tests.
new cd18098 ENH addresses @ogrisel's comments
new 4156481 ENH fix merge with char_wb_ngram
new 0d69c6c ENH check that classifier decision_function and predict_proba validate shape of input.
new e00d706 Merge pull request #991 from jakevdp/doc-update
new 52e39db fixed long-name-references madness + removed some whitespace
new e116d2c trainling whitespace removed
new 8f91ec7 blank line removed
new e1bf857 Merge pull request #1043 from jaquesgrobler/master
new ba55424 Merge pull request #1039 from jakevdp/lle-test-fix
new 8043efb Add all_categories option.
new e55e2c5 Normalize training and test times.
new c677f0b Typo.
new f3c603d Enable graphvis export function to export trees as well as regressors
new b59e100 FIX : make as_float_array keep fortran order on dense array when copy
new bbe17a2 Merge pull request #1045 from agramfort/fix/as_float_array
new dbcf8bb Merge pull request #1046 from TimSC/master
new 7fb4fa3 Fixed docstring for C param in BaseLibLinear/SVM subclasses.
new ceb0d8b Added version info to deprecation warning
new ea6d903 Merge pull request #1049 from fsav/c-docstring-patch
new ccd1384 add support for non-ndarray lists
new fbd0082 Merge branch 'master' into peter-dev
new a89604e Merge pull request #1063 from welinder/peter-dev
new 2311a4c COSMIT pep8
new da80997 ENH rename paramter ``p`` of AffinitPropagation to ``preference``, slightly change the meaning of scalar parameter. Scaling the medium seems more intuitive that giving absolute values.
new 56c6bfb Simplify LabelEncoder.transform.
new 7107544 Test LabelEncoder.fit_transform with arbitrary labels.
new 5762f74 Ignore joblib folder.
new f408d76 DOC fixed renaming of ngram_range in feature_extraction narrative
new 6829a2f DOC rewrote logistic regression docs
new 1aaa7ac TST check that transformers fail gracefully on sparse input
new f6aaa4d ENH affinity propagation now has an ``affinity`` parameter, instead of a ``precomputed`` parameter, to support other affinities in the future.
new 7c4f112 ENH renamed ``gaussian`` affinity to ``rbf`` in spectral clustering for consistency.
new 2b328ca COSMIT renamed n_points to n_samples everywhere, fixed shape docstring that @mblondel pointed out.
new eb89d5a FIX Worst feature in RFECV missing. closes issue #681.
new 949ddd1 ENH renamed ``neq_sqr_euclidean`` to ``euclidean`` so we it is easier to parse
new e42c435 ENH Convert input into float in GMM
new 0df98bb ENH add test, revert affinity propagation to previous parametrization (was a bit over-eager there)
new dcbe01f TST added tests for different spectral clustering affinities
new b797265 Merge branch 'fit_pairwise'
new 546f7df MISC add verbose keyword to AffinityPropagation
new faef6e7 slight adjustment to header size
new 7883d7a FIX fixed horrible bug in spectral clustering!!!!
new c59a7dd ENH updated whatsnew for bugfix, removed warning box, tightened test.
new 74a99dc Merge pull request #1075 from jaquesgrobler/master
new 42e9029 TST classifier behavior with only one class present
new 0b707d3 ENH also test MultinomialNB
new e4c71ea FIX removed ancient templates from manifest to make sklearn pip-installable.
new fed8259 correcting typos in the doc
new ff01105 Merge pull request #1077 from ludwigschwardt/minor-fixes
new 1fb13d4 FIX: forest / check_random_state in fit
new 4e3576f FIX: tree / check_random_state in fit
new 93beee2 Update README.rst
new 97c290c Merge pull request #1078 from buguen/docs
new ca36d73 BUG: casting rule with recent numpy
new 4a15c20 BUG: do not use diag_indices
new 1378012 BUG: choose seed to get affinity test working
new ae377f6 BUG: fix my fix for affinity :(
new e18a32d Fix #1080.
new 5d73ecd Merge pull request #1009 from amueller/one_class_check
new 053d1a5 Merge branch 'master' into sgd-predict-proba
new 59cf938 Merge branch 'sgd-predict-proba'
new 8b3e4d0 ENH some cleanup in grid_search. Closes #777.
new 9d0080a DOC: link to Randomized sparsity in Lasso section
new 1ad6926 Merge pull request #1068 from amueller/grid_search_cleanup
new 7a5e118 ENH add test for consistend predict_proba shape also in the two-class case.
new a11c38d tst add check for isotropic data in spectral clustering
new fef96c7 FIX try to be a bit nicer to arpack - any one with a different setting care to try to make a more stable test?
new 694e575 New stratified shuffle split version that only return indices arrays
new 5d8b384 stratified shuffle split can return masks
new 6445dee Fixed StratifiedShuffleSplit issue for unbalanced classes
new 4d25843 Fixed n_test issue in StratifiedShuffleSplit
new 781326e pep8 fix
new 5b5b3b3 Added new tests for StratifiedShuffleSplit
new d259e1f Fixed SSS test
new d5db0fa Removed redefinition of variable i in SSS
new e453af9 Permute the train and test sets in SSS to avoid class-sorted folds
new 0f16b8a Added validation for some corner cases in SSS
new 1d21109 Updated tests for SSS
new 55907d5 Added tests for the StratifiedShuffleSplit to check the sizes of the training and testing sets, and that they don't overlap
new b2e6e19 Minor cleanup of StratifiedShuffleSplit
new de100d9 FIX doctest corrected (hopefully this is deterministic) + cosmit
new 689cd96 FIX removed isotropic spectral clustering test because of arpack problems.
new bccfefa FIX use backport of np.unique
new c9ee91b FIX forgot some uniques
new fd2a0a2 added failing test for 2d y
new c7e65d2 rm redundant input check (we check in _partial_fit)
new 0902ed0 ravel y; use atleast2d_or_csr for input validation
new e0434de _tocsr not needed because of atleast2d_or_csr
new a1dfd31 inline comment
new d9ff3f5 cosmit: constants for penalty types and learning rate types; inline comments;
new 920bf84 Decision threshold is now 0 in RidgeClassifier.
new 7dd7bad Optim + cosmit in StratifiedShuffleSplit.
new 7ae3356 DOC fix minor sphinx errors and stuff
new 072b3c6 enh: try to get decision function to work in two class case
new 2019260 ENH make QDA and LDA decision functions adhere to standard shape [n_samples,] in two class case.
new 54076d5 Fixed tests for RidgeClassifier
new 7ca5577 DOC updated whatsnew, moved @pprett's api fix into the api section.
new f540875 ENH addressed @agramfort's comment, also removed the special case from testing as @mblondel fixed it :)
new 05630b0 ENH added min_df keyword to CountVectorizer, default=2
new f9d6b2f ENH more robust testing for int
new 4c8c3be ENH more robust testing if parameter is int or float, as suggested by @larsmans in #1066.
new b27dde2 FIX typo
new 80b4a5c fix warning: add underscore to: grid_search.best_estimator_ and grid_search.best_score_
new 53e7a87 Merge pull request #1094 from ibayer/warnings
new a30359c COSMIT Typo. Englais svp. Closes #1090.
new 0fccfbe COSMIT trying to fix doc issues
new b57e01b DOC added min_df change to whatsnew, made more estimator names clickable.
new 2ec38b3 ENH rudimentary testing of tranformer objects
new cfe11f9 MISC added comment to explain SelectKBest k in common tests
new 3cafdaa COSMIT copy+paste error
new f3b76d2 ENH test that regressors can handle integer data.
new 069936c ENH add ClassifierMixin with ``fit_predict`` and some tests.
new d33c2ea COSMIT remove commented out score
new d0efa6f Remove deprecated _set_params and the call in grid_search
new fc3e680 Remove chunk_size from k_means
new f692faf Removed load_filenames and load_20newsgroups
new 4575b32 Remove sparse_encode_parallel
new 89813e9 Removed deprecated parameters in GridSearchCV
new 02a831a Remove LARS and LassoLARS
new 2516b62 Remove fast_svd.
new 2769dbd Remove _get_params
new bc90358 Corrected deprecation schedule in cross_validation
new b515066 Remove deprecated properties in naive_bayes
new 9e7c03f Add or fix deprecation schedule in warnings.
new 0a382ac Fix example using deprecated API, output was misleading.
new b0cb959 Remove deprecated load_20newsgroups from classes.rst
new 3f8b454 FIX: randomly failing CountVectorizer test
new 1cdc9e1 DOC CountVectorizerDocstring readability
new e0c6c11 MDS is not a transformer, fix the test to skip PLS
new ad339a4 Merge branch 'master' into mixins
new 9829179 Improve the common tests, make fast_ica pipelinable
new f058593 Support y-dependent transform as in PLS
new 30e1597 fit_transform in PLS to support y
new 2b7c336 Make PLS degrade gracefully on sparse data
new 4452154 FIX in the makefile - we should delete pyc and so only from the source code, and not from everything in the root folder
new a10928c Rename Y to y in PLS
new a5541d9 Check for sparse input in isomap and lle
new a36a190 Check for sparse data in MDS despite not being tested
new 3a7125f Skip CCA in test_regressors_int
new c4b6b39 DOC Added section on issue tracker tags to development docs
new 4d13bd6 Merge pull request #1100 from NelleV/makefile
new 5954727 Deprecated sparse classes from the SVM module - refs #1093
new 4631a21 FIX sparse OneClassSVM was using the wrong parameter
new 163dbe5 ENH raise ValueError in r2_score when given only a single sample.
new d8f576c Merge branch 'master' into mixins
new 58ed136 Revert "Rename Y to y in PLS"
new 9fbf66c Merge branch 'master' of github.com:scikit-learn/scikit-learn
new e737aa4 FIX the AP was using a deprecated parameter
new 9f5fd65 Decrease the number of convit in the AP
new d70ee4e Renamed parameter convit to convergence_iteration and deprecated the old API
new 45a5bd2 FIX typo in deprecation warning in the AP module
new ce6cfbf DOC better documentation on the AP
new 4789910 FIX The new parameter of the AP is called convergence_iter and not convergence_iteration anymore
new 57b184b ENH: simplify dict learning with gram and reg_param handling
new 2184c46 ENH : add copy arg to array2d and new atleast2d_or_csr usual for sparse coordinate descent
new 9dfdcc7 First effort in multitarget lassolars
new f74f5f0 ENH: move Gram precomputation outside of the loop
new abc9ccc TEST: precomputed lasso and lars
new fee95e1 Unnecessary copying
new 519e204 FIX: add test, fix memory initialization bug
new 2c9ede5 ENH: multidimensional y in ElasticNet (WIP)
new e483883 ENH : add copy param to array2d_or_csx
new 48687a7 ENH : add support for multitarget in sparse enet + simplify input checking
new dffd56e ENH : use multitarget in dict learning
new ab7c8cc FIX : fix tests
new 73cb0a3 DOC : getting over docstrings
new 3109c99 ENH : avoid a copy in MultiTaskElasticNet
new 83d5f18 add note on what's new
new 36cdf1c ENH : add support for sparse data in ElasticNetCV/LassoCV (not optimal)
new 9c6422c ENH : use multitarget Lars and LassoLars in dict_learning
new 9cbdad8 ENH : simplify handle of copy of Gram and X with array2d in OMP
new 01d032c style + typo
new 4e3b66a DOC : better reg_param docstring in dict learning
new 51d02d3 ENH : use build_dataset in multi target test
new 8bf1acb ENH : update warn for multitarget
new eac812b return_path option in lars_path
new c1ef133 Add possibility to ignore the path in Lars objects
new d40f7a4 Fix doctests
new 105a678 update coef_path_ docstrings
new 9e3354b use assert_true
new 466479f API : consistent use alpha_/alphas_ for alpha/alphas estimated by CV in linear models (issue #1041)
new 5af5b7f DOC : add useful comment in code
new 28cecfe addressing for round of reviews
new 7a04ca0 BUG: sparse matrices in ElasticNetCV
new b763ee2 DOC : better docstring for fit_path
new 273468a MISC rest
new 0441dc5 Merge branch 'master' into sgd-yshape-fix
new 81bca36 fix typo
new 50868f2 make smoke tests explicit; check ValueError on 2d inputs
new 31af752 ENH support custom kernels on sparse matrices
new 79ebf6c ENH added low-level bail out in sparse svm
new a6a8771 MISC use assert instead of value error.
new 50a2d05 FIX add exception, check exception, if sparse.SVC is called with kernel='precomputed'
new 254e15f ENH fix error by removing unnecessary test.
new 1c1ea99 DOC added some comments to the sparse precomputed kernel tests.
new 1575e50 FIX: this fixes issues #746 ProbabilisticPCA minor things
new ea14dc3 FIX: this further fixes issues #746 with API compatibility warning and integer division fix
new a190eb4 DOC updated whatsnew with ProbabilisticPCA fix by @kuantkid
new bcbcc5c DOC Added SGDCLassifier support only binary prediction probabilites.
new 2a9e095 Merge pull request #1109 from buma/predict_proba_doc
new 4d46856 DOC Fixed a return in predict_proba in SGDClassifier
new e691007 DOC add support for sparse arrays to SGDCLassifer
new d3139db DOC forgot dot in SGDCLassifier documentation
new a682cfb FIX affinity propagation typo
new 63e9902 DOC fixed some sphinx errors, issues in docs....
new 5236f8c DOC Fixed a return in predict_proba in SGDClassifier
new ab7e942 DOC add support for sparse arrays to SGDCLassifer
new f524edc DOC forgot dot in SGDCLassifier documentation
new bd4292a work on BaseGradientBoostingCV
new 425d1f9 refactored prediction and decision_function (rm duplicate code)
new 554799f ENH: use gini for feature importance
new d7fc786 GradientBoosting classes with built in cross-validation; implemented via Decorator pattern
new e93a6a5 wip: aggregate fold via groupby
new 970326f wip: fixing some set attr errors but still buggy if params not lists
new e6f0b1d remove *CV classes - only pick decision_function and staged predict refactoring
new 2c97793 rm CV class tests
new edee5ca rm CV class legacy
new a8a04c6 remove CV class legacy
new d5658b6 add API changes and feature_importance fix to whatsnew
new 5b9cd36 Merge pull request #1110 from buma/predict_proba_doc
new 73f991c DOC yet another AKA
new 713ba60 COSMIT pep8
new e35b3e5 DOC fixed reference in whatsnew
new 0f4208b DOC added some more API changes to whatsnew
new 7f76aa1 Add __all__ for half of the scikit
new 006e7ef Add __all__ for the second half of the scikit
new ef2f4ac Expose ENGLISH_STOP_WORDS
new 317a928 FIX removed sparse_encode_parallel
new 3d02176 Added scale_c fiasco example
new 6b04635 DOC: improve scale_c_example
new 254b109 gael`s suggestions/tweaks
new e50fad6 docstring change
new 8367109 docstring fixes
new d117cb7 changed includes back - change broke JENKINS build
new 75ba083 not the problem afterall - switch back
new 656d701 docstring changes
new 868bcd2 typos and alex`s review changes
new e686e38 small tweaks
new 4bc8822 COSMIT pep8
new e53274a COSMIT typo, thanks @ogrisel
new a4a3d35 MISC changed version number for release, change maintainer to myself
new 8e8e9a1 DOC add people and commits do whatsnew
new fc5fe58 COSMIT typo, thanks @ogrisel
new c38c547 DOC add people and commits do whatsnew
new f1e4427 MISC starting 0.13 cycle
new 3bfb4e7 DOC added link to 0.11 docs to support page.
new ec61542 We already have the inverse at that step
new 4a5a1d6 Compute pseudoinverse using eigendecomposition
new bfac9f2 Vectorize singular value inversion
new 57c1abe Add comments on optimized precision computations.
new 776b060 @jakevdp's version of pinvh speed up symmetric_pinv
new f4a4016 Cloned @jakevdp's pinvh tests
new e6ca49e Use pinvh wherever it helps in the codebase.
new d11e6d1 ENH more robust transformer testing.... don't ask why that came up
new 8d103b5 We already have the inverse at that step
new 0946f59 Compute pseudoinverse using eigendecomposition
new 4829341 Vectorize singular value inversion
new 602bac4 Add comments on optimized precision computations.
new 12f4eb9 @jakevdp's version of pinvh speed up symmetric_pinv
new 6d66d0f Cloned @jakevdp's pinvh tests
new 97717ba Use pinvh wherever it helps in the codebase.
new 0fede44 ENH more robust transformer testing.... don't ask why that came up
new 9e3e9ad DOC copyediting
new 4f46545 FIX: bug in multi-output forest.predict_proba
new 6eb4bb3 TST (near-)empty lines and explicit zeros in SVMlight loader
new 0e5b876 DOC: add a reference on multi-output trees
new 3f45f67 MISC: docstring work
new 9b642e5 Merge tag '0.12' into releases
new 46e9cfb Merge branch 'releases' into dfsg
new 551af8d Merge branch 'dfsg' into debian
new a6d581f changelog for fresh upstrem release: all debian/up_ patches removed, deb_ patched updated
new c805989 Boosted policy to 3.9.3 (should be ok without changes)
new b4041c3 added failing test for clone
new 70099dd rm instance variables learing_rate_type, loss_function, and penalty_type; create them before plain_fit
new dfd2140 move get_loss_function to _partial_fit
new 185d326 add test for proper loss instantiation
new 0c59872 n_iter must not be 0
new 63608c6 refactored input validation; special loss function factory for huber and epsilon insensitive loss
new 6a23fc8 use DEFAULT_EPSILON consistently
new 01d3486 patches/deb_disable_test_spectral_old_scipy - disable unittest on older scipy's due to failure
new 702ab6e updated copyright years and added owner for borrowed ATL_* code
new e797a9b fixed typo
new b9ed384 removed obsolete (and not used any longer) python-psyco from Recommends
new 60c730d rename get_loss_function to _get_loss_function
new f54c0bc COSMIT use property.setter in sklearn.svm
new 2933920 ENH performance of TfidfTransformer
new 5a320d7 COSMIT replace useless safe_sparse_dot in chi2 with np.dot
new 7dd9dd9 Merge remote-tracking branch 'upstream/master' into sgd-clone-fix
new 16a5719 BUG fix broken top-10 features printing in text clf example
new cde7d2a BUG: fix setuptools feature
new 2425381 Print running time as a floating-point number with two decimals.
new 2caa484 DOC copyedit HMM documentation
new cb98e77 Merge pull request #1138 from fabianp/doc_float
new 420a006 COSMIT const and void* correctness in liblinear wrapper
new 9987b61 DOC : fix rho=1 is L1 penalty #1139
new 39a7b26 ENH: pass verbose consistently in forest module
new ac5e028 added test to expose the predict_proba w/ sparse matrix regression
new ad9cc06 fix the predict_proba w/ sparse matrix regression by using shape instead of len
new 523ba8f cosmit
new e14dd67 ENH address issue 1028: clone estimator in RFE
new 57574dc ENH issue 1115: grid search support for rfe via ``estimator_params``
new 6fff265 ENH fixed bug in sparse RFECV, fixed bug in RFECV init (step was always 1), added decision_function and predict_proba to RFE and RFECV
new aa20467 MISC rfe outputs loss, not score
new ea3f32b FIX typo
new 9de51ea add y to tfidf vectorizer
new 0eca37d cosmit
new 7063196 ENH refactor liblinear prediction code and add classes_ member
new 6fd64d4 COSMIT liblinear C code cleanup
new 5d357f7 followed @larsmans tip to get rid of _decision_function
new 4390eff Check for memory errors (1)
new 8a3c77b Check for memory errors (2)
new 14c63aa Check for memory errors (3)
new 71f9388 Mechanism to propagate optional estimator.fit arguments when using CV
new 4de6d3f changed **fit_kwargs to explicit fit_params dict
new ba857ef make sure that param has len attr + a test
new cf9444b replaced assert with assert_true + error msg
new c599668 fix failing test
new 13be59d TST : use nose assert_true and not python assert
new ae3a1fb Merge pull request #1015 from vene/cov-speedup
new 9feb095 fix docstring of predict_proba
new 7bc9b71 Avoid useless if-statements
new c763dea BF: Address issue #1059 in GMM by adding a supplementary check.
new 3ed794e COSMIT comment out more unneeded liblinear code
new 3bbed29 Added a comment to clarify initial capacity
new 3a73c2b BF: Fix broken tests: change a check for compatibility with HMM.
new 8727405 DOC + COSMIT LogisticRegression: docstring + rewrite predict_proba
new 5ecb9ac add predict_log_proba and test; better docstrings
new 8aac72f Merge pull request #1141 from pprett/sgd-predict-proba
new 69176b1 DOC small fixes to SGD docstrings
new 5528334 Robustify LARS. Fixes issue #487
new 1e9f7ef COSMIT rm svm.sparse tests to prevent deprecation warnings
new 91aaabc ENH micro-optimizations in SVMlight loader
new 55a2070 WEBSITE updated logo, changed scikits-learn to scikit-learn.
new 179eabc BUG rm RidgeClassifier from 20newsgroups
new f28d088 ENH: Isotonic regression
new be9261b MDS is now using the new isotonic_regression submodule
new 2734835 Added tests to isotonic_regression
new c1abbf2 DOC - added paragraph in user documentation on the isotonic regression + an example plot.
new ccd1ad3 More documentation
new 4bc740c ENH : proper IsotonicRegression model + example + test
new af22f29 remove support for extrapolation
new f7a5fc1 FIX : for test_common sparse support
new 01b5a97 New (faster) implementation of isotonic regression
new 462f304 pep8
new b0bdd3f adding my name in IR example
new 1f59e07 FIX IsotonicRegression only takes vector input, hence don't test it in the common estimators
new aac3b2c ENH IsotonicRegression now uses variable names that have more than 3 letters
new bc8fd0b ENH better error messages on the IsotonicRegression
new 2543d93 Added a predict method to the IsotonicRegression
new d8d4af0 ENH : finish addressing @GaelVaroquaux comments + improve coverage + add linear regression to example
new 74d6f80 typo
new 8511d96 MISC: small docstring work
new 1acd247 FIX : fix LLE test (don't ask me why...)
new 65cf665 ENH remove some deprecated parameters / functions /estimators
new 52a9f4d FIX remove test for deprecated parameter.
new b48b7f5 Use fixed random state in isotonic regression example.
new 1be816d Example: added a pretty PCA 3D plot of iris, as this dataset is used in so many examples. Unfortunately the mlp bug about 3d rotations and colors makes it not as nice as it could be.
new c3ea87d ENH minore example beautification
new 81c8b6e Note on the use of X in isotonic regression.
new 85693d6 Fix confusing notation in isotonic regression.
new 6fbb0ea DOC fixed default value of ``compute_importance`` in DecisionTreeClassifier docstring.
new 6f13021 Merge pull request #1143 from larsmans/refactor-liblinear
new 7d31400 metrics.py: modified precision_recall_curve to lower computational complexity
new d6d2dcf metrics.py: pep8 and other cosmetic changes
new c979924 Fix latex formula in isotonic regression doc.
new a02e58c Release manager change + fix Satra's URL.
new e6a9f3a metrics.py: Added more comments to precision_recall_curve.
new 8a96ca1 ENH no more distinction between "sparse" and "dense" LinearSVC
new f15e580 COSMIT rm deprecated SGDClassifier.classes property
new 9d33497 COSMIT clarify L1/L2 LR sparsity demo
new e9d227d DOC fix link for IsotonicRegression
new 2247a31 misc
new d03b605 DOC fix IsotonicRegression docstrings
new ae24236 BUG allow array-like y in RFE
new b4aa0cb DOC RFE docstring + link RFECV in narrative docs
new c2aabf0 BUG rm LARS from linear_model.__init__
new dc94372 COSMIT refactor linear classifiers
new 0696777 DOC : avoid mentioning ElasticNet in Lasso.fit docstring
new 8d318b2 DOC typo in ElasticNet docstring
new acda3f6 DOC add isotonic regression to References (even if we move it soon), also OCD.
new c4d9e87 FIX error in error message ^^ closes #1155.
new 66c8a70 ENH fix percentile tiebreaking, add warning
new 1373bcd DOC document attributes scores_ and pvalues_ in feature selection docstrings, some superficial cleanup.
new 9fb1499 DOC somewhat improved feature selection example
new 88a0e5d TST improve Ridge test
new 4183cb3 COSMIT use LinearClassifierMixin in RidgeClassifier
new 109b07a ENH in NMF only use svd initialization by default if n_components < n_features.
new 912f2bc FIX fixed typo in code, added smoke test.
new 47fd441 Merge pull request #1144 from glouppe/tree-malloc
new cf778c0 BF: fix issue #1127 about MinCovDet breaking with X.shape = (3, 1)
new 2e48248 COSMIT + DOC univariate feature selection
new f5bcc3d COSMIT re-indent docstring for safe_mask
new f11454d BUG make GridSearchCV work with non-CSR sparse matrix
new ea51101 COSMIT remove unused imports
new 35704c8 COSMIT rm deprecated class_weight from fit in Ridge
new 33efa17 ENH Improve Ridge's conjugate gradient descent
new 9d5936e Revert "BUG rm RidgeClassifier from 20newsgroups"
new d93b33e ENH add max_iter argument to Ridge estimators
new 6300abd Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 684f17f Adding guide on how to contribute to project
new f0c816d Fix indentation
new 3143bbe Removed tabs from indentation
new aa03dc5 COSMIT: noting that PRs don't send mail to mailing list
new c3a510c Moved link for further info to be more prominent
new c57402f Minor changes to contributing
new 53009c1 DOC added Conrad Lee's PR to whatsnew
new 1313f25 COSMIT pep8
new c877742 FIX unicode support in count vectorizer. Closes #1098.
new 986ad8c FIX docstring for count vectorizer. Sorry about that.
new 0e00956 DOC Ridge improvements in whats_new
new 46f4c55 Merge pull request #1169 from larsmans/ridge-cg
new 77e69ed COSMIT rm deprecated stuff -- lots of it
new 3ca3e95 DOC rm references to deprecated stuff
new a164d57 TST writable coef_ and intercept_ on LogisticRegression
new 4c11ccd COSMIT remove unused import
new b5339a9 Added the paper I used to implement isotonic_regression.
new 77dc060 ENH add MinMaxScaler, #1111
new cf4940a ENH do normalization in single pass over data
new 485854a DOC added missing docstrings
new c0a0578 ENH rename Scaler to StandardScaler everywhere
new 3941a4b COSMIT pep8
new 8c0bb9e BUG: parallel computing in MDS
new d82ff7b DOC remove sparse support from docstring as there is none. Also cosmit on docstrings.
new c742e2a BUG: deprecated k parameter in MiniBatchKMeans
new 6fd39fb Add support for preference contraints in svmlight format.
new 7842748 BUG: copy and keep ordering
new e0d45a9 BUG: remove leftout debug prints
new 398fa9d FIX: query_id parameter and other cosmetic changes
new fa93e20 FIX: wrong probabilities for OvR LogisticRegression
new 2cae34b Move solver option to constructor.
new 107abb6 Add lsqr solver.
new 0471092 BUG: transmit parameters correctly from Ridge to ridge_regression.
new 8c9cc85 Can afford better precision in news20 example.
new abee624 Fix docstrings and doctests.
new ec07896 Add minimalistic test for each solver.
new c5892aa Fix damp parameter.
new 1e11730 Fall back to dense_cholesky if sample_weight is given.
new 15ce055 lsqr is not available in old scipy versions...
new 71fd662 Better documentation on the choice of solver.
new 7575410 PEP8!
new 2a7ebd9 Cosmit: not a fan of defining a function in a loop :)
new ef336b6 Update what's new.
new 73c21e2 More accurate API change description.
new 0c2b07f Fix warning message.
new 58c1b5d Add test for load_svmlight_files
new c0d6c6c Merge pull request #1182 from fabianp/svmlight
new 6c1e0ed FIX: typo in ValueError message.
new 04b5e98 Add support for query_id in dump_svmlight_file
new 8aeb9ea DOC: added svmlight qid support to whats_new.rst
new 531dcb0 ENH: make test_common check normalized probabilities
new db37872 DOC: Enet alpha=0 => advice to use LinearRegression
new 749ea70 ENH let DictVectorizer build a CSR matrix directly and use array.array
new d7e118b MISC: add ltsa in docstring
new baf39ad DOC DictVectorizer returning CSR in ChangeLog
new 339c854 Merge pull request #1193 from larsmans/dictvectorizer-csr
new 4b4d8fd ENH add FeatureStacker estimator
new 7b78abb ENH add feature stacker example
new 67c5a07 COSMIT + DOC more dosctrings, minor improvements
new 26d17c6 ENH implement get_feature_names
new d27e8fc TST added tests, fix feature names.
new 3d5e6cb ENH add parallel fit and transform with joblib.
new ec08e8c ENH add transformer weights
new dac5e59 TST add test for feature weights in feature stacker
new 098cfbc DOC move example (there is nothing to plot) and add some text
new 78789a1 MISC renaming FeatureStacker to FeatureUnion, adding docs
new d087830 DOC added FeatureUnion to whatsnew.
new aa3641f Merge pull request #1189 from fabianp/svmlight
new 244e8a6 Merge pull request #1187 from ogrisel/bugfix-logistic-ovr-probabilities
new e0f9a97 FIX: broken doctest for DictVectorizer
new 3f8f8ee changed includes back - change broke JENKINS build
new 41266a9 not the problem afterall - switch back
new 92aaf2d add first collapsible toctree test
new 24e5fc6 moved buttons to themes
new 3d4c900 working version
new 305f2f1 Links now clickable
new 5a96cf8 -collapse toc moved to front page- -firefox highlighting bug fixed -examples bug fixed
new 75dc22a button colour change + comments
new 975d1f4 fixes - seemingly good version -sidebar removed from start page -sidebar size fixed on other long pages
new edf0d56 highlighting of + implemented
new 271f06d -line highlight bug fixed, buttons changed, full expansion added
new 10b8b13 small bug fix and colour tweak
new 5db0dd5 nitpick fix
new ed0a9dd cleanups
new 844c4b0 cleanups
new 1a381d4 toggle bug fixed
new 690e6d9 highlight fix
new 6227904 what`s new updated
new 4062b3e Improve doc and error msg in MinCovDet in response to issue #1153.
new 7a75fa3 ENH remove deprecated sparse SVM class from cross-validation test.
new 9905618 ENH: MCD for large dataset
new 24e7190 BUG in error message for k-means
new 7ac8a3d BUG in error msg for spectral clustering
new 109b63d BUG: propagate random-state in MCD
new bc0ff18 travis config file
new 60f10ae update travis config
new 3f49b21 DOC: return values of make_moons and make_circles
new 6f4e17a Merge pull request #1197 from glouppe/master
new 3c0fc66 put the requirements at the right place
new 175dd82 added requirements to travis config file
new d50c0cb COSMIT pep8
new 40328ed FIX bug in pipeline.inverse_transform, improve coverage.
new dc52457 ENH support for string labels in Neighbors classifiers
new ffc8656 ENH rename ``_classes`` to ``classes_``, fix outlier labeling, remove unnecessary mapping to indices.
new ee9b9ae COSMIT reuse variable name
new adf3e2a ENH added non-regression test
new 0984a2a cd_fast: use square norm directly
new aa69c56 COSMIT error messages in GenericUnivariateSelect
new 19a1a41 ENH perform feature selection on scores, not p-values, when possible
new 99f13ef DOC some improvements to FeatureUnion docs
new e662539 ENH: using coo matrix construction to accelerate calculation of the contingency matrix
new a3dacb6 FIX: numerial issues in NMI
new 9964264 COMIT pep8
new 117177d ENH add refs to issue #884
new 8ce26ed FIX: ADD test cases for exact 0 case, and nmi equal to v_measure case
new 2d3f70a FIX: accelerate v_measure calculation based on mutual information
new 94147ed COSMIT add doc to clearify how nmi is normalized and pep8 fix
new 9b38790 COSMIT pep8 fix for test_supervised
new 7c8521c FIX: fixes error caused by break line
new 9d3fa6e Using coo_matrix to accelerate confusion_matrix calculation
new f07378b COSMIT
new 39070ea ENH add test for testing v_measure is a variant of nmi
new 64b0832 COSMIT typos in doc strings
new 310c558 FIX let test use random_state(seed)
new b23bbaa PEP8..
new fa669d5 FIX typos and vague comments
new 30e8a44 DOC add comments for log(a) - log(b) precision
new 2834ed5 COSMIT fails to see the function name use mi rather than mutual information
new ffe44eb FIX doctest to check up to 6 digits precision
new ccb93e5 FIX: eliminate \ for continuation from doctests
new 094c636 COSMIT removed unused import
new 89a6d1c FIX np.unique doesn't have return_inverse keyword, use backport from utils.
new fb7e3ab Python3 compat: print()
new 40d1399 DOC LaTeX error in SVM narrative docs
new 07a9d2e ENH better error messages in CountVectorizer for empty vocabulary
new ee8c8ff FIX: bug in multi-output forest.predict_proba
new 3beae02 ENH address issue 1028: clone estimator in RFE
new a999ce1 ENH issue 1115: grid search support for rfe via ``estimator_params``
new 2aacb3b ENH fixed bug in sparse RFECV, fixed bug in RFECV init (step was always 1), added decision_function and predict_proba to RFE and RFECV
new 4322a2f MISC rfe outputs loss, not score
new b3722b5 FIX typo
new 8f13917 BF: Address issue #1059 in GMM by adding a supplementary check.
new 1890c2e BF: Fix broken tests: change a check for compatibility with HMM.
new 4a3b4a7 WEBSITE updated logo, changed scikits-learn to scikit-learn.
new b7f6f19 added test to expose the predict_proba w/ sparse matrix regression
new 7ea873b fix the predict_proba w/ sparse matrix regression by using shape instead of len
new 94c7881 cosmit
new 58d5a5e followed @larsmans tip to get rid of _decision_function
new c6308ae fix docstring of predict_proba
new 326e4f6 add predict_log_proba and test; better docstrings
new 03d28ee added failing test for clone
new 1791575 rm instance variables learing_rate_type, loss_function, and penalty_type; create them before plain_fit
new ee838a2 move get_loss_function to _partial_fit
new 55e8810 add test for proper loss instantiation
new 767ec5d n_iter must not be 0
new 8283126 refactored input validation; special loss function factory for huber and epsilon insensitive loss
new 237867a use DEFAULT_EPSILON consistently
new 7d0347d rename get_loss_function to _get_loss_function
new 02e6fd0 BUG rm RidgeClassifier from 20newsgroups
new 9a3910d BUG allow array-like y in RFE
new 33a73bc Release manager change + fix Satra's URL.
new 9d0cc93 COSMIT clarify L1/L2 LR sparsity demo
new 890bb8e DOC RFE docstring + link RFECV in narrative docs
new d65fae7 BF: fix issue #1127 about MinCovDet breaking with X.shape = (3, 1)
new 8b0219a FIX unicode support in count vectorizer. Closes #1098.
new 5dcaaf7 FIX docstring for count vectorizer. Sorry about that.
new 9fe86f6 BUG: parallel computing in MDS
new f7241ac BUG: deprecated k parameter in MiniBatchKMeans
new 133aaf0 BUG make GridSearchCV work with non-CSR sparse matrix
new 08d170d BUG: copy and keep ordering
new 9e16ea7 BUG: remove leftout debug prints
new 13fd25e Mark Cython outputs as binary so their changes don't clutter diffs.
new 669f31e TST CountVectorizer with empty vocabulary
new 46e3c84 Merge pull request #1208 from larsmans/check-empty-vocabulary
new 536829a Merge pull request #1211 from kcarnold/gitattributes
new 121cb20 DOC : fix rho=1 is L1 penalty #1139
new 6716a81 DOC typo in ElasticNet docstring
new 5b55cee DOC typos in README
new 7efd8fc ENH slightly better error message for robust covariance
new 55ef1d6 DOC: protect `classes_` for valid rst
new 4d73f2b DOC: protect `classes_` for valid rst
new ed90a99 enh even better error message
new 10d9023 ENH make multi-class more robust in discovering scoring functions
new e9fc59a ENH in all_estimators, skip testing modules. They have dummies.
new 7c70198 FIX: doctests under Windows 64bit
new f18295c TST improve test-coverage in base, remove unreachable code-path
new 70bf00c DOC escape one more instance of "classes_" in SGD
new 3f9d73d FIX: doctests under Windows 64bit
new 2bb7b91 ENH/FIX add a lobpcg solver to spectral embedding
new 354b648 MISC: decrease verbosity by default
new 6c519c8 FIX: numerical stability in spectral
new 914048f Update changelog
new 91f7848 Update changelog
new 98c666c DOC feature selection by scores instead of p-values
new 852363e Merge pull request #1215 from amueller/pipeline_muliclass
new 9701bb8 add dual_gap_ and eps_ to Enet and Lasso docstring
new ff6fe90 wip on fx interactions for GBRT
new 03b8829 extend eps_ description
new 892e1c5 Merge pull request #1223 from ibayer/master
new f2c52f1 DOC: use nosetests rather than sklearn.test()
new 70cab6d ENH: support arbitrary dtype in kNN classifiers
new 06cd9a7 DOC: use nosetests rather than sklearn.test()
new f26f33c ENH: support arbitrary dtype in kNN classifiers
new a00b3ce TEST: predict_proba in knn classifier with y string
new 0dd2e39 REL: 0.12.1 Bugfix release
new bb5d924 DOC: fix doc mistakes
new 7ca9faa DOC: another layout fix
new 7cab9bd DOC: add doc on making a release
new e8443db Merge tag '0.12.1' into releases
new 7e33533 Merge branch 'releases' into dfsg
new 8c4304f Merge branch 'dfsg' into debian
new 1253750 changelog for 0.12.1-1
new 5700100 COSMIT pep8
new fe1cd4b DOC added whatsnew entry for mutual info fix and faster confusion matrix.
new ceb80b0 ENH rename k to n_folds and n_bootstraps to n_iterations
new ad4abdd DOC cleanup some docstrings (not scipy standard yet)
new 1b367e5 ENH set n_fold default to 3, rename k to n_fold in all doctests, docs, and examples
new 0a81827 COSMIT rename n_iterations to n_iter in cross_validation
new 9bd0aad MISC renamed n_iterations to n_iter in all other places.
new c3e046a DOC added changes / renames to whatsnew
new dfb31f5 ENH rewrite K-Means m-step as loop over samples, cythonize.
new 9283b10 ENH separate sparse and dense case, cythonize further.
new 9423e9c DOC various typos and other minor stuff
new 262cbdf DOC clarify zero_based's implications in SVMlight loader
new f41c98c ENH fix int type in kmeans
new 27256a3 ENH fix kmeans for old numpy (bincount minlength) Should this go into the utils/fixes?
new 6e1aec2 FIX also the other function in kmeans. whoops
new a3fabe1 Merge pull request #1204 from larsmans/mi-feature-selection
new 3bfc42c Merge branch 'master' into gbrt-interactions
new f9df471 FIX bincount mess I made in kmeans.
new 16aabc7 ENH rename rho to l1_ratio in ElasticNet and friends
new b39609a ENH rename rho in SGD
new 72e71bb ENH address @agramfort's comments, fix some doctests
new 143147d DOC add changes to whatsnew.
new 04b31e2 ENH simplify as suggested by @larsmans.
new 20f6540 implemented partial dependecy plot
new 5edcbc1 fix: grid and model
new d6655fa FIX for len(result) > minlength
new 27baaf3 TST: cater for 0.9 not > 0.9
new ac7f399 cleaned tree traversal and sorted out weighting
new ab78baa cythonized and cosmit
new 6cd2f57 Fixed typos.
new d637d86 Merge pull request #1237 from kalaidin/typos
new a744f31 DOC tried to clarify meaning of l1_ratio in whatsnew
new fba0d35 BUG: obey numpy 1.7's stricter rules
new f6dd870 Merge remote-tracking branch 'origin/pr/1234'
new d7152a5 BUG: cater for dev versions of numpy
new 1929892 Factor Analysis -- implemented with EM + SVD.
new bf96a14 ENH : cleanup FactorAnalysis object
new dd58d6e API : rename psi to noise_variance + some cleanup in FA
new f85b658 TST : add test that FA log like increases over iterations
new 8666896 add Bishop's book to refs in FA
new 46d1631 TST: Make factor analysis test repeatable.
new f881485 Extended faces decomposition example with Factor Analysis.
new 63ce79c Factor Analysis learns variance of generative model for every dimension. Illustrated with faces.
new cbe1b3d pep 257.
new 3a46f75 Make sure that psi=0 does not break em.
new 3732ccf Some documentation for FA.
new d3ea9f6 More or less same code already available.
new eac061b Plot noise variance for FA. Changed some things to make plot_gallery usable for this, too.
new 3d769f5 Adding some plots for FA. Ordering of articles must be adopted.
new 8b8a1a8 Extended test a bit.
new 1458a75 Added score function.
new 7f8c087 Two iterations are enough for the test.
new d2b1573 score works like ppca.score().
new 229f813 adapted to new signature of score().
new 345d6fb Moved paragraph on FA before ICA.
new 5129029 update what's new with FactorAnalysis
new 93a2fcf DOC : adding FactorAnalysis to classes.rst
new 97ed661 BUG + DOC l1_ratio in SGD and CD
new 53b2203 COSMIT correct error msgs in SGD and make them more consistent
new 3bc0276 Merge branch 'pr/1214'
new 2d4dd89 FIX: missing figures in FA narrative doc
new 9e7d1a6 MISC: use toarray instead of todense
new 7f20345 automatically create grid from training data cosmit docstrings
new 4bd2e9b add cartesian product
new 1b6161a partial dependency plot example from ESLII 10.14.1
new cfed074 ENH remove some unreachable code from gridsearch
new 4b66eba BUG: RandomizedPCA needs random_state set
new 8141cb1 ENH: make RandomizedPCA.fit idempotent
new 20ede3b DOC let BibTeX handle its own capitalization, except for {P}ython
new b77804d BUG NaN handling in SelectPercentile and SelectKBest
new 342c5be ENH: Consider order in X for IsotonicRegression.
new 04251e1 Better tests + cosmetic changes.
new 8d3c75f Store X as an ordered array.
new a06c367 ENH sparse matrix support in randomized logistic regression
new 60ae168 COSMIT rm unused import
new 8123769 ENH: adding iter_limit to libsvm
new 8fa79ee FIX: committing updated Cython-generated libsvm bindings
new fb48f29 ENH: Solver iter_limit emits warning instead of raising exception
new 5d6540d ENH: renaming iter_limit -> max_iter
new 3c803da FIX: missing file hidden among the Cython output
new 4b8399b ENH: hint about data normalization when SVC stops early
new 7fab72d FIX: adding missing c files from cython
new 159fb12 ENH: assert -> assert_equals
new 51b06b8 FIX doctests for max_iter
new 7be6c2c FIX two more docstrings. Sorry.
new 00be697 FIX seed liblinear using srand. Fixes issue #919.
new f711bf2 TST: fix doctest
new fc236b1 TST: fix test counting warnings
new 6ac7fbf Merge branch 'master' into pr/975
new bfbcc78 docstrings for init and loss_
new ff3097f cosmit
new b321d4c added Emanuele to authors
new e64cea0 ENH add random seed to logistic regression
new 66fc977 ENH don't use deprecated interface in PPCA & cosmit
new e09db85 FIX issue #1239 when confusion matrix y_true/y_labels has unexpected labels
new a42a91a PEP8
new 43d083d ENH docstring misleading
new f314380 Merge remote-tracking branch 'upstream/master' into pr/975
new 35860aa Merge branch 'master' into gbrt-interactions
new 83bfb4a Merge exthmath tests into the same file.
new e69acb1 Add common assertions to sklearn.utils.testing.
new a2cd5fa Fix density utility when input is sparse.
new 3f42c71 Typo.
new f358799 Fix test failure.
new b24e60d Adding Passive Aggressive learning rates
new ba52957 Added documentation to stochastic_gradient
new 3dbd135 Added to documentation
new e9ebfeb Added documentation and removed PA
new 6610659 Added tests
new 74ef738 COSMIT: spelling correction
new 6f80695 Adding example
new 8ff7407 Added smoothing to example
new 70a966b COSMIT typo
new 297498c PEP8 fix
new c68e607 PEP8 COSMIT
new dfe33d0 PEP8 COSMIT
new 77b585f Merge branch 'master' into gbrt-interactions
new 8246645 Merge branch 'master' into gbrt-interactions
new 021e9f9 add learn rate to partial dependency function
new 0000eb1 common ylim; comment out 3d plot
new b7e9d17 Enforcing non-negative step-size
new 50627fc FIX: prevent early stopping in tree construction
new 34cdc4e FIX: prevent early stopping in tree construction (2) + Test
new aa58f86 make fit_stage private
new 56d285f return axes instead of grid
new 807bc0e 3d plot of 2-way interaction plot
new b8dbef6 Fix typo in README
new 9deaa43 Merge pull request #1266 from cdeil/patch-1
new f4e2e1a REL put myself as contact / maintainer, fixed url
new e134a27 Merge pull request #1263 from glouppe/fix-1254
new 67890e4 add verbose output for gradient boosting algorithms
new 5dfcff0 Changed verbose to int, added a low verbose option to just print '.'.
new 513d2d9 remove '\r' and format numbers to be fixed width, 7 digits of precision
new 2954079 fix GradientBoostingClassifier by passing verbose as a keyword argument
new 676b97f FIX rebase mishap
new bf39cd9 Merge branch 'master' into gbrt-interactions
new d952ed2 multi-class is supported
new 2a3ca6b cosmit
new 465c8f7 doc: use n_iter instead of epochs; remove backslash
new 0062ba1 Merge branch 'master' into gbrt-interactions
new b49768f california housing dataset
new 40e483e cosmit
new 62d7a90 use California housing dataset loader
new 7613fa9 DOC small example / doctest for kernel approximation.
new 38155aa First go at speeding up Euclidean distances
new 886270a Make it less yellow
new 78a9fd5 More reusable code, speed up symmetric case
new 8c45f55 Better cython style.
new 480f462 Add dense sparse support and precomputation
new 73c2c34 FIX: buggy case when X=dense, Y=sparse
new a7ae308 Consistent argument naming and useful maintenance notes
new 5666b8d FIX using out with sparse matrices
new f560fe4 Relative imports, fix todense bug
new a3b0c4c safe_sparse_dot into preallocated output
new cb4879d Add test for dense_output, fix bug, cleaned up logic
new 3b1a0c2 Avoid reallocation in manifold.mds
new bad7f14 add type prefix to blas funcs
new 8066f9b DOC Clarify the docstrings
new 8ec5ecb Added Cython-generated euclidean_fast.c
new 230fff7 BUG: follow scipy API change
new ab3304f Separate dense_output and out parameters, document better
new 1b1829b API change: mutually exclusive preallocation and precomputation
new 1103240 FIX: csr_matrix induced unwanted copying
new 7da9bf0 Rename euclidean_fast to _euclidean_fast
new bd7badb Clean setup.py in metrics
new ca703ae ENH: improve test coverage
new 88f7df2 COSMIT website address + copyedit in __init__.py
new ed1d5e2 DOC move implementation details on mixins to comments
new 711fb96 DOC: fix 'Controls' typo in sklearn.ensemble.forest.
new 9f9f5ce Merge pull request #1269 from mrjbq7/doc-fixes
new 0dd841f Revert (rebased) merge of euclidean_distances speedup
new 8f22486 Split out PassiveAggressive Classifier into its own object
new 5590ce5 Adding PassiveAggressiveRegressor estimator
new 5a3fc24 COSMIT
new c8bf18b COSMIT: fix typo in AUTHORS.rst.
new 9d3bcf1 DOC typo in whatsnew
new 77358b5 DOC more typos in whatsnew.
new 1406cdf ENH use the numbers module introduced in Python 2.6 to check for number types. Fixes 1255.
new 82dc425 DOC: typo
new afb666c Use sklearn.utils.testing in tests.
new 6e8696b Merge branch 'master' of github.com:scikit-learn/scikit-learn
new f65efcf More use sklearn.utils.testing.
new 76972db Added documentation for new classifier and changed seed to random_state
new 6eec2e6 Even more sklearn.utils.testing.
new eca762d DOC: improve the model selection exercise
new fd9e1c2 ENH added OneHotEncoder
new 2660482 DOC minor fixes / typos. Thanks @larsmans.
new 0860182 ENH user-specified dtype, defaults to np.float, nicer numpy stuff :)
new c305629 TST skip test in common_tests, reach 100% coverage on new code.
new deebe78 DOC more typos omg. comment about automatically inferring maximum values.
new 89257b6 ENH better example.
new 14bf28e DOC: further improvements to the model selection exercise
new 3a6bb73 Fixed typo
new fd595a7 Renamed learning_rate loss in PassiveAggressive
new 5d1bda6 Correct documentation
new 60d20c1 Corrected doctests
new f2e9d5b enh masking out zero features
new e04614c TST fixed doctests, added more tests. Still 100% line coverage :)
new c37cef2 FIX : fix application example due to API change
new 425c6e9 DOC: further improvements to the model selection exercise
new 315d421 ENH/FIX add a lobpcg solver to spectral embedding
new ba400b7 MISC: decrease verbosity by default
new d4a6958 FIX: numerical stability in spectral
new 9a4aefd MISC: addressing @satra's comments
new 2c857f2 ENH: make sure that spectral EVD is solve once
new b0f3a01 MISC: @agramfort's comments
new 083c507 PEP8
new d0f7da2 doc: added reference to lobpcg and note about small number of nodes
new 402a304 BUG: fix test error
new e8fe8e6 Fix indentation
new c326b1f ENH removed ``remove_zeros`` parameter.
new 90c0079 BUG: make precision_recall invariant by scaling probs
new 2b85071 BUG: fix setuptools feature
new 7eda399 Discretization method for spectral clustering added along with tolerence setting to loosen eigendecomposition constraints
new c615759 Documentation and small bugs fixed and code cleaned up
new b2502fc Small comments/constants added
new bbfe61a Fix typos
new 851a27c Added more info in documentation
new 8ba410c Small aesthetic fixes to discretization
new 3f00ff2 pep8 formatting
new 40701a7 More description of the discretization algorithm.
new e500133 Even more description of the discretization algorithm.
new 36efa06 Documentation changes, removed more camel case variables
new 01217f3 Fixed some memory inefficiencies and clearned up documentation and code semantics
new 64bfe41 Example for spectral clustering embedding handling
new 112597d Added newline to the end of file
new 0b53cb5 removed a hardcoded value
new efb1344 Modified lena segmenation example to include different embedding solvers
new d3f1d77 Removed savefig
new 9b0ee1d MISC: split example in two plots
new 388d123 API: change 'embed_solve' to 'assign_labels'
new a69557e TST: increase coverage in spectral clustering
new d4f53ed DOC: add docs of assign_label in spectral clustering
new 0b3bc3f COSMIT: long remarks go in 'notes' section
new 8b6f280 ENH allow more than 1000 linear SVMs with custom random seeds
new 0a01292 BUG: restore numpy 1.3 compatbibility
new 79fcb69 fixed bug of initialization in hmm.py
new 0ad0b3c added test_fit_with_init to tests/test_hmm.py also fixed a bug by this test
new 6755803 pep8, ignored E126-E128
new e9f4645 - avoid startprob, transmat, emissionprob containing a zero element by adding small number and re-normalize - test case for above problem
new d5fcb73 - check input format of MultinomialHMM.fit raise ValueError in MultinominalHMM if the input does not pass the check
new e3d369d MISC: minor clean ups in hmm code
new 6f3ccc1 DOC more extensive classifier comparision on synthetic datasets
new 0ddc287 ENH more noise, cross-validated parameters.
new 7353a5e ENH train/test split, plot accuracy, make plot pretty.
new 72c360c ENH simplify circles dataset generator, make classes balanced.
new 7c0d1b6 FIX typo in dataset generation
new 15b2168 ENH I'm more happy with the last example now....
new 301733c Merge branch 'master' into gbrt-interactions
new 906b942 remove legacy code
new ff31326 FIX adjust gamma in kernelPCA tests to fit slightly modified circles with balanced classes.
new 0563fa9 BUG halve the number of LinearSVCs
new 77b4670 COSMIT use np.clip in SGD
new e683e64 Merge remote-tracking branch 'upstream/master'
new 87cf514 DOC: another improvement to the model selection exercise
new 00d1055 FIX HMM test failures
new 6670c17 Merge remote-tracking branch 'upstream/master' into gbrt-interactions
new 87d3246 renamed dependency -> dependence; docstring and cosmit
new 18b3b1d typo
new 23fb18d fix: feature_importances_
new df909c7 rename dependency -> dependence
new c8145ce rename dependency -> dependence
new cc66f14 add partial dependence plot example
new 3adaaa7 FIX : pass random_state to kmeans in gmm.fit
new c5e7807 Merge pull request #1292 from aymas/pass_rng_kmeans_gmm
new 189af52 Merge pull request #1290 from tjanez/master
new edcfcd3 COSMIT: pep8 in arrayfuncs.pyx
new 427a0e6 ENH used asarray to avoid copy
new 917f309 ENH fit_transform on KMeans
new 3c854a2 COSMIT pep8
new e8bdac9 enh: add code analysis target to makefile
new d70088c FIX small bug in feature selection error message.
new 5cfb764 COSMIT do less deprecated things.
new 81b0f36 for now excluded some labile tests from testing
new ad3bfc8 added patch changeset_5528334660d8901263b4157038f41a0f4028a5f3.diff to "cherry-pick" 5528334660d8901263b4157038f41a0f4028a5f3 (Robustify LARS. Fixes issue #487)
new 6db567b changelog for prev commit
new 01d4db9 ENH input validation in chi2, error for negative input
new 4104f96 FIX revert useless change.
new bd3a6c2 DOC warn about parallel k-means on OS X.
new 9babaa7 ENH minor improvements in testing, new utility function for safely setting random states.
new b4f1c4f Test qda with 'priors' parameter
new a51f911 Test QDA.covariances_ attribute
new e4355fb Don't cover this deprecated method
new a361f0e Test non-normalized GaussianProcess
new c1ffbb4 Missing random_state in LinearSVC.
new 0d59309 Test _BaseHMM._decode_map
new 1e826c7 Test _BaseHMM.{predict,predict_proba}
new 635e7f3 FIX cross_val_score now honors ``_pairwise``
new 342dddc Make this bit of code more compact (and improve code coverage).
new bd87dee Remove unused code branch. (_hmmc must be always available nowadays.)
new f67e0d2 Fixed docstrings and seed tests
new 189ac2f renaming 'learn_rate' in 'learning_rate'
new 0687b2f DOC added my last PR (cross_val_score fix) to whatsnew
new bbc272c Remove stale test code
new 470c769 Remove obsolete comment
new 796f6c6 Improve cross_validation test coverage: 94% -> 99%
new 2605a6b ENH hompage add links to headers in left panel
new 19f5dae ENH add link to Citing
new a1568d7 WEB color fix for link headlines
new 7f45f2c Improve metrics.metrics code coverage: 95% -> 100%
new f35ab4b DOC document callable kernels in SVM docstring.
new 913fe77 DOC add user guide for MinMaxScaler
new 3d1c8fb Improve svm.base test coverage: 92% -> 98%
new 4a477e1 Add docs for `vocabulary_` and `stop_words_` attributes of Countvectorizer.
new 4fe5a92 Merge pull request #1323 from dnouri/countvectorizer_doc_1154
new e1cbdee FIX: vocabulary_ maps to feature indices.
new d8fa623 Merge pull request #1320 from dnouri/test_coverage
new b32fc9c ENH renaming 'max_iters' to 'max_iter' for consistency
new 6941d8d DOC missing class mention
new ca8a8eb ENH renaming 'n_atoms' to 'n_components' for consistency
new e2efecd ENH fix pep8
new 33a5911 COSMIT in mean shift docs
new 40f1872 FIX : missing import warnings
new 2064745 typo
new a164a98 typos
new 25284b9 Merge branch 'sgd_learners' of https://github.com/zaxtax/scikit-learn into passive_aggressive
new d9bb6ac Rename pa.py to passive_aggressive.py.
new 00c380b Cosmit: random_state is not necessary.
new 65b035f Fix many bugs and test PA-I.
new 1589d54 Do not expose C in SGDClassifier / Regressor.
new 8b73f40 Implement and test PA-II.
new 5a313ba Add SquaredHingeLoss.
new 89e06ad Test different losses.
new 97f594a Add squared epsilon insensitive loss.
new 0dcb61f Test PA-II (regression).
new d38c0d2 Fix random_state in SGD.
new 221d153 Update narrative documentation.
new d184d62 Fix example.
new 6b6abcd Credit myself.
new 7fadf53 Fix see also.
new e9dde49 Fix a few test failures.
new da98830 Add one more test for PassiveAggressiveRegressor.
new 4661b64 Fix underflow detected by test_common :)
new 8788713 Update document classification example.
new 462bbb2 DOC: typos in ensemble.rst
new 9385763 Fix doctests.
new fdb4923 DOC: typos in ensemble.rst
new 3407214 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 663a6ae Better documentation for C.
new 56df9dc Add PassiveAggressive* to class reference.
new 0f92da4 Remove sample_weight and class_weight from PassiveAggressive*.
new 27be154 Add tests for partial fit.
new 2255944 remove `steps` from Attributes of docstring
new 06879d0 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 19042cb Merge pull request #1331 from jaquesgrobler/master
new 3d7ff31 FIX : add condition pos_label!=None for multiclass purpose in metrics.precision_recall_fscore_support
new e152473 TEST : add a test, test_precision_recall_f1_score_multiclass_break(), that breaks with current master and now works
new 922c7ae Change metrics.py as before and shorten test (test_precision_recall_f1_score_multiclass_break() in test_metrics.py) to show where it breaks
new 9cb0af2 FIX : clean test + pep8 + reply fix to the code
new 2d8bdbf Update to the clustering.rst module file for k-means. Added a plain language description and the objective function.
new 5706109 Document epsilon.
new 3264268 Better documentation for epsilon in SGD.
new 370e3ca BUG: dot on sparse matrices broken in recent numpy
new a3670c0 Remove predict_proba from Perceptron and PassiveAggressiveClassifier.
new bf87bf5 Merge branch 'master' into pr/1279
new 47d8645 DOC: Improved the code that shows how to export a decision tree to Graphviz and generate a PDF file.
new 94fa4d1 Skip doctest for the Python code involving pydot.
new 6b6e1ab Skip doctest for the remaining line involving pydot.
new 9be9072 FIX hotfix for NMF sparsity problem
new f07a10a BUG: fix doctest bug
new 05ea3e4 BF: GridSearchCV + unsupervised covariance shrinkage selection.
new 180cbfb Change legend + complete docstrings.
new 67fabab Improve example narrative doc (rewritten intro).
new cf54268 DOC: improve wording in covariance docs
new 4d3ac03 Fix typos in doc.
new 109d102 Add y=None to covariance estimators for API consistence purpose.
new 02cbb24 DOC: typo
new f8d7bd4 ENH OneHotEncoder docs + TypeError + test active_features_
new 09714bc cythonized expected_mutual_information
new 5e97624 added authors
new e33adcb ENH cut down on memory use of text vectorizers
new 3403730 Remove transform from PassiveAggressive*.
new 7a2681d Changed example svc kernel to be linear, however the error curve ends up flat under the new kernel.
new 5f40bdf Used more extreme values of C to show a more pronounced error curve. See the new curve here: http://imgur.com/UF7I4
new e6fd534 Took out a save image line
new c188755 Edited docs to reflect change in kernel used.
new 205d658 added yticks
new 81ff85d added yticks
new f5cf0ee added yticks
new c14e9c6 limited range of C cross validation
new 252f73c COSMIT: pep8, wording, layout
new 76b3d9c DOC: fixed string formatting in example
new 177e813 Switched dynamic default args in random forest
new 668979d Added test
new c65c35c Switched default parameter to tuple from lists.
new e0fdf95 move tuple back into arguments
new 2d0ab3c MISC: remove unused import
new 4f41de9 BUG: LassoLars path ending contained junk
new e115469 TEST: one addition test on the length of the path
new 48dd2ac TEST: test that alpha is decreasing in LassoLars
new 65b79cf BUG: lars corner case with path length == 1
new e18465d ENH: multi-target Lars: lists rather than arrays
new 156566e ENH: early stopping LARS for degenerate active set
new a911ad1 MISC: address comments
new caf995c MISC: more precise warning
new f739070 WIP: drop for good correlated regressors
new c3b5ea2 MISC lars_path: cleaner code in degenerate case
new e290951 ENH: early stopping for lars
new 2d9435c TST: add a test for lasso and lars
new 428439f MISC: comment
new 16dbe52 ENH lars_path: early stopping after drop for good
new 1f3f497 TST: difficult test for early stopping
new de4fd32 COSMIT: better comments
new 25707c2 BUG: missing import introduced by rebase
new 0eb8578 DOC: Update whats_new with lars improvements
new 9e52350 BUG: compat with numpy 1.3
new 8bb0b68 DOC: spelling
new 9f18586 BUG: AUC should not assume curve is increasing
new 7c877ca Fixed an issue where CountVectorizer.decode leaves file pointers open after reading the contents of the file. This produces unpredictable behaviour as closing the file pointer is left to the implementation of the python interpreter.
new 07a2b24 Changed the CountVectorizer charset default back to 'utf-8' instead of 'utf8'. This was due to debugging on my local machine.
new 1f92046 document sample_mask and X_argsorted in BaseDecisionTree.fit and validate inputs using np.asarray (added two tests as well)
new d3dfbec Merge branch 'master' into gbrt-interactions
new ef60b17 tidy up deprecated warnings for learn_rate
new c0d80d6 Merge pull request #1344 from mattilyra/CountVectorizer.decode
new bdb0f64 COSMIT
new 76b3130 FIX: missing # for comment in pyx file and readded missing AMI docstring
new 970f8b2 DOC: LinearRegression document the shape of coef_
new fde726c DOC: n_responses -> n_targets
new 9cf5f00 FIX dirty fix for expected mutual info in cython.
new ff655ad ENH added OneHotEncoder
new 1a3c19c DOC minor fixes / typos. Thanks @larsmans.
new b744d92 ENH user-specified dtype, defaults to np.float, nicer numpy stuff :)
new c861ad7 TST skip test in common_tests, reach 100% coverage on new code.
new 2e1b455 DOC more typos omg. comment about automatically inferring maximum values.
new d126074 ENH better example.
new 94218a4 enh masking out zero features
new 8f55895 TST fixed doctests, added more tests. Still 100% line coverage :)
new 93e4390 ENH removed ``remove_zeros`` parameter.
new eaf8757 Merge branch 'larsmans_pr' into one_hot_encoder
new bd514aa Merge branch 'master' into gbrt-interactions
new a2edf49 raise error if both grid and X are specified
new 7c31618 initialize estimators_ with empty array not None
new ac2e0c7 DOC copyedit tutorials
new 207793f COSMIT rm outdated file of changes to liblinear
new 53d9418 more input validation for partial dependence and doctest
new 191f9c3 tests for partial_dependence
new bf5c124 rename learn_rate -> learning_rate
new 21d1260 input validation for grid
new 9509959 test cases for grid
new 0530c10 pep8
new 6f08ae6 added test for cartesian
new 886ccfa add partial dependence to whats new
new 92138a4 COSMIT pep8
new 3f32833 DOC corrected whatsnew.rst. Thanks @ogrisel.
new af101cc ENH check in all classifiers in fit and predict that input is finite. inspired by #1027.
new a351355 ENH add checks for clustering, regressors, transformers
new d71ba5f FIX revert old behavior, all tests work :)
new 261f07e MISC address Gael's comments
new 2f0dd13 DOC added comment about default for n_nonzero_coefs.
new 0c27619 documentation for partial dependence plots
new 70a4bf1 add module imports
new d859eb0 typo
new 7cec21b TEST: decrease precision in test_lars_drop_for_good
new bc2948f cosmit
new 830b405 call pl.show
new 4249edc renamed datasets.cal_housing to datasets.california_housing
new c9cd2b7 FIX: lars drop for good platform specific test failure
new 12e87d9 FIX + ENH: catch custom function argument errors and inform user
new c97e281 FIX #1354: machine precision assertion failure in test_liblinear_random_state
new 7cf0cba Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 2ffbf28 add plot titles
new e9583f6 cosmit
new f764581 Merge branch 'master' into gbrt-interactions
new 63bae39 cosmit: docstrings
new fc41a88 better narrative docs for partial dependence
new cf77c10 cosmit: footnote header
new 52ba220 empty instead of zeros
new d7316bf fixed the __repr__ method of cross_validation.Bootstrap, which failed if self.random_state is None
new 8ace61f Updated fixes from larsmans
new 13a3176 BUG: imports should be locals
new 69e3554 MISC: wording of doc/comments in example
new 859bbce Merge pull request #1335 from robertlayton/clustdocs
new 824c07b DOC typo in k-means docs
new a5c11b6 Merge branch 'master' into gbrt-interactions
new ef9161b more explicit typing (int32, float64)
new a4e4523 COSMIT pep8
new 863816d ENH added check for non-negative input.
new c63b7a1 P3K: Fixed imports.
new 6d0ffb1 P3K: Cannot compare list to tuple.
new ca60c93 Replaced use of deprecated method.
new 9496a96 P3K: Changed StringIO to BytesIO to fix a failing test.
new 67e1770 Merge pull request #1279 from amueller/one_hot_encoder
new 253a2c4 FIX don't use pl.subplots.
new 541f01d ENH adding "apply" to random forests
new 973edd5 ENH add RandomHashingForest estimator.
new 6e3472c ENH added docs, example and tests.
new de31f19 DOC Some narrative documentation for Random Forest Hashing.
new b669568 FIX for sparse matrix in RandomForestHasher
new 131ad58 ENH refactor inheritance structure.
new b9a08bd ENH use random regression task to avoid memory overhead of n_sample classes. Modifying cython for tree building would still be better... (via new criterion?)
new ae8a7a5 ENH Added Example
new d02d08c DOC added references
new ef4d208 MISC renamed RandomForestHasher to RandomForestEmbedding
new e9e60db MISC don't use pl.subplots, fix typo
new 8e58f83 MISC rename plot_random_forest_hasher to plot_random_forest_embedding
new 9a7de0b ENH fix plot in docs. thanks @ppret.
new 5ee93ec DOC forgotten rename
new 277e944 DOC fixed links in whatsnew.
new c201281 DOC added dump_svmlight_file to the references
new e3fc34a DOC improve MinMaxScaler narrative docs.
new a345761 Merge pull request #1361 from astaric/py3k
new c4e978b metrics.py: bugfix in precision_recall_curve and added tests
new d70e110 metrics.py: more detailed comment in precision_recall_curve
new 090bed6 metrics.py: pep8
new e31376a metrics.py: COSMIT more commets on precision_recall_curve
new 5c61755 metrics.py: COSMIT, replaced cryptic np.r_ with np.hstack
new 6b096cf DOC added new precision_recall_curve to whatsnew
new 593f4bd ENH: RandomForestEmbedding in lle_digits example
new 46d2461 DOC: cross-ref Random Forest embedding and manifold
new a9b4a38 Fix typos and wording in RandomForestEmbedding.
new e481596 Indicate dimensionality in RandomForestEmbedding example.
new f92d63a DOC fix some layout on the "presentations" page, add Jake's resent PyData NYC tutorial.
new 23ac37a API : move isotonic regression out of linear_model
new dcbddc7 DOC : fix move of isotonic in doc + examples
new b1ea48d DOC: add google analytics theme option
new 7d707c4 Fix broken links
new ae86c22 BUG: Fix path in doc cleaning
new 1f6d7e0 Merge branch 'master' of https://github.com/jaquesgrobler/scikit-learn into fix_doc_clean
new 193b7dd Merge pull request #1367 from fannix/master
new 45bc0bc Merge pull request #1369 from AlexandreAbraham/fix_doc_clean
new 2468cbf DOC Change URLs of NNDSVD papers to avoid paywall
new b0ac8f9 doc fix - trailing underscore and init param update
new 2287edc goodness of fit fix
new 15db3c2 trailing whitespace sentence
new 9432b4e Merge pull request #1366 from agramfort/move_isotonic
new 56afa38 DOC grammar in isotonic regression narrative docs
new 6ab3b5b MISC rename RandomForestEmbedding to RandomTreesEmbedding
new 1644a7c Merge branch 'master' into gbrt-interactions
new bb1f1ea DOC: make MinMaxScaler example snippet readable outside of other sections context
new daeeb99 DOC: more improvements / fixes on the MinMaxScaler doc
new 2b8ab35 ENH feature hashing transformer
new 2ffe980 DOC narrative documentation for feature hashing
new f5a4ad2 ENH speed up hashing and reduce memory usage by 1/3
new cbb9b01 ENH allow (feature, value) pairs in FeatureHasher
new c8e644a ENH 20newsgroups example for FeatureHasher
new 205a947 ENH + DOC FeatureHasher
new 3de0f43 ENH add dict support to FeatureHasher and make it the default input_type
new c370f53 Merge pull request #1374 from jakevdp/doc_GA_flag
new c89d208 Merge pull request #909 from larsmans/hashing-trick
new 0f24720 P3K: Fix build for py3k + pip.
new 99be49e DOC: list of dicts in GridSearchCV
new 87daeea DOC: wording and layout on front page
new 8c99284 Cosmit: use less memory in feature hasher tests.
new 54b4ba2 Cosmit: make KernelCenterer a private attribute in KernelPCA.
new a88ee54 Improve KernelCenterer docstring.
new 2fc7080 Add add_dummy_feature.
new f93ebb4 BUG enforce and document max. n_features for FeatureHasher
new 94f1218 Add RandomClassifier and tests.
new 76253a2 Fix tests.
new 3fb6425 Add docstrings for RandomClassifier.
new 7358fd4 PEP8.
new 637a491 random_state=None by default.
new 146da09 Remove label encoder.
new ac90b7b Implement predict_proba.
new 30aa21c Add some narrative doc.
new d756c33 Address @amueller's comments.
new 607c136 Rename to dummy.DummyClassifier.
new cb8989a Add DummyRegressor.
new 09cdd40 Add dummy estimators to references.
new 86aad25 Add what's new entry.
new aab8162 Add comments.
new 38b0f59 Check returned types.
new a7ebd1b Merge branch 'master' into gbrt-interactions
new 8a171a8 add plotting convenience function
new 4f70ab3 uses plotting convenience function
new b2dcfdd ENH: update joblib to 0.7.0a
new 6ead032 BUG: fix properties on joblib files
new 926858e BUG: Add forgotten file
new 324f69b moved partial dependence into its own module.
new 60a8316 doctest fix + cosmit
new 7137713 fix imports
new af3345c remove partial dependence (moved to own module)
new 6cb2b83 updated example
new 3b90033 fix imports (partial dependence)
new 3f6f333 fix: california_housing not cal_housing
new fa0622c cosmit
new e960643 switch axis for 2-way plot; better to compare with above plot
new e0b7a22 BUG: update joblib to 0.7.0b
new 7cd4392 added partial dependence and fetch_california_housing to classes
new 0b5fd93 better documentation
new 0163d94 fix links
new 9bbc433 add partial dependence module
new 9adeaa1 Test expectations.
new e157836 Test string labels.
new 55f8ab0 Test exceptions.
new 99f2375 Cosmit: save one line.
new ef50f3e Address @amueller doc comments.
new 6530f44 Skip common tests for Dummy*.
new 8430d66 Typo :/
new cfd8b79 Add example in docstring.
new b4022ac Add to references.
new 77cd045 Merge pull request #1382 from mblondel/add_intercept
new 0e4a693 Merge pull request #1373 from mblondel/random_clf
new 55bbbc1 Remove unused import.
new c01e65e COSMIT don't do deprecated things in test (hmm)
new dd04394 BUG: fix murmurhash compilation with recent Cython
new 41a03a5 Merge https://github.com/scikit-learn/scikit-learn
new c113c85 Travis CI cfg + status in README + sklearn requirements
new e3df73a with Ubuntu's scipy instead of pip's
new 591b7c2 with python-nose
new 3076320 removed requirements.txt from travis cfg
new 6c8887b removed requirements.txt
new 7f43561 DOC update Ubuntu installation instructions
new c40c0ff changed the build image URL in README for after pull-merge
new e256540 Merge pull request #1397 from SnippyHolloW/travis
new 97445e2 Improve error message when vocabulary is empty.
new 116b54a Fix bug in sqnorm (used by PassiveAggressive).
new f49773d Link to travis.
new 3c46eba COSMIT pep8, removing unused imports and recommend ``toarray`` instead of ``todense``
new 343f895 trying travis cfg with system-site-packages
new 31de016 Improved bench_covtype.py to load data faster and support configurable n_jobs
new a8df0d1 Specify branch in status button.
new 33899d0 ENH make sparse svm test more robust, catch warning on deprecated class
new 4c2d1c9 ENH use blobs instead of iris in the common classifier tests. Iris has duplicat datapoints which raises annoying neighbors warnings.
new c1eb792 Fix staged_predict_proba() in gradient_boosting.
new fca4802 ENH slight cleanup in common tests, less warnings.
new 295feec add test for staged_predict_proba
new e9a893d Merge branch 'master' into pr/1409
new 66df362 Merge branch 'master' into gbrt-interactions
new 963c064 better formatting of xticks (prevent overlap) pass arguments to contour and line plots
new f47ff85 show how to use ``partial_dependence`` to generate custom plots.
new 857c642 doctest skip for plot function
new 2dc982f fix doctests skip
new 780ab02 ENH Check what ``__init__`` does in test_common
new 021c999 FIX messed up memorizing gmms parameter in GMMHMM before.
new c3ea29e DOC added comment to test.
new 3fa378a DOC explain what the test is doing.
new bf0dcf3 BernoulliNB: Fix the denominator of P(feature)
new e0da673 FIX smoothing in Naive Bayes and refactor the discrete estimators
new 4a34f7f Merge pull request #1372 from jaquesgrobler/doc-fix-dev_guide
new 98b188f ENH add chi2 and exponentiated chi2 kernel.
new c5935b3 FIX add generated c file
new cf6c8b2 DOC add chi2_kernel and exponential_chi2_kernel references.
new 270dc05 TST added a test for chi2 and exponential chi2 kernel.
new e02a668 FIX input validation, test chi2 in pairwise function, add reference.
new b9f999c ENH fused types for chi2_kernel
new 54b1228 ENH renamed chi2 to additive_chi2 and exponential_chi2 to chi2, as usually the exponential version is meant with "chi2"
new 3d4fac8 DOC updated whatsnew
new b4bdd57 DOC cleared up difference to AdditiveChi2Sampler, added some "see also"s
new c03091c DOC added stuff about chi2 kernel to narrative docs
new d681f58 FIX typo bug, more tests. Still more tests coming right up!
new c6e5263 DOC added "precomputed" variant to docs.
new 07a5e36 TST 100% line coverage
new 6b1d20e ENH explicit check for zero denominator
new 3e43ce3 ENH address @ogrisel's comments.
new ecc50d0 ENH addressed @kuantkid's comments. Also add myself to pairwise.py authors.
new 1d318da Merge https://github.com/scikit-learn/scikit-learn into travis
new ed6111d FIX import assert_greater from testing module
new 68c7b6a COSMIT no diff for pairwise_fast.c
new bd536ba DOC credit @sjackman in what's new for BernoulliNB fix
new fd82afa renamed: ncols -> n_cols; partial_dependence_plots -> plot_partial_dependence
new 0d6d67e ADD install guide for archlinux
new 7f73ce6 test decorator to skip tests if matplotlib cannot be imported
new 236465b smoke test for plot_partial_dependence
new 09d9e2c fix: doc rename partial_dependence_plots -> plot_partial_dependence
new 584e74d Merge pull request #1415 from SnippyHolloW/travis
new c9444eb Merge pull request #1418 from kuantkid/archlinux
new 9a79b02 ADD spectra_embedding for wrap function spectra_embeeding as an estimator from spectral clustering
new c797e01 ENH finish sketch for the estimator wrapper
new f4d03a0 ENH add warning for inverse transform
new 58572bb ADD test cases for spectra_embedding
new b7c9998 ADD empty test scripts
new fc91451 COSMIT
new d2485c4 FIX typos
new fa8df33 FIX inconsistent typos
new 8cd804a FIX nearest_neighbor graph build
new b54a3ad ADD add test_examples for pipelined spectral clustering and callable affinity
new 7b98cdd FIX remote does not have test file wired...
new ec68d8f MOV move spectra_embedding from decomposition to manifold
new 707edfe ENH docs partially updated, happy mooncake festival
new 3a4cebf ENH move spectral_embedding as standalone, fixes for tests
new ffed733 COSMIT
new a47992d ADD add the laplacian eigenmap to examples
new 3b3f0ec ADD test cases for two components, unknown eigenvectors, unknown affinity
new 441a739 COSMIT
new 6c50606 ENH test-coverage
new 32970e7 PEP8 test files
new 7faaf08 ADD spectra_embedding for wrap function spectra_embeeding as an estimator from spectral clustering
new 936cfb5 rebase: fixing conflict
new e935121 ENH add warning for inverse transform
new d0ed921 ADD test cases for spectra_embedding
new ab99238 ADD empty test scripts
new 5e6430f COSMIT
new fe82743 FIX typos
new a92565f FIX inconsistent typos
new cd02b8e FIX nearest_neighbor graph build
new 1494345 ADD add test_examples for pipelined spectral clustering and callable affinity
new d806cc1 FIX remote does not have test file wired...
new 9fe7369 rebase: fixing conflict
new b7c4385 ENH docs partially updated, happy mooncake festival
new 5572493 ENH move spectral_embedding as standalone, fixes for tests
new adbd0bd COSMIT
new ec601c6 ADD add the laplacian eigenmap to examples
new 243fc75 ADD test cases for two components, unknown eigenvectors, unknown affinity
new e873ed5 COSMIT
new f53f855 ENH test-coverage
new a04a970 PEP8 test files
new 3f51b59 SYNC doc built error on one machine, sync with another
new fa77ce8 DOC docs for spectral embedding
new 9d03e78 DOC dox fix and misc post-rebase things
new daae623 MRG merge with @Gael's PR 1221 and some name changes
new 45c2085 FIX lobpcg, amg drops the constant eigen vectors by default
new e8d8de9 ADD check for symmetric and check for connectivity
new 34b3967 ADD add test for check_connectivity
new cfff55e COSMIT
new 9f8d8d59 Change sparse graph to use cs_graph funcs. minor doc changes
new 0c20549 Minor doc changes
new 7f5b642 FIX spectral embedding offers choice whether to drop the first eigenvector
new 75517e2 COSMIT
new 0ef3aad RENAME parameter rename in examples
new 46f1587 RENAME rename eigen_tol and eigen_solver, and warning about using old variable name eig_tol and mode
new 0e41b14 ADD add a test for discretize function
new 615494e COSMIT and Typo
new 87978d0 FIX backwards support
new dbf39a6 FIX doc fix and test fix
new d01f3be COSMIT
new 9b47cdf ADD added examples, and eliminate unnecessary imports
new d272464 FIX nn-affinity does not support sparse input
new 97a216d COSMIT and minor fixes
new 67fe92b DOC update whatsnew
new 8eb74e0 fix: addressing gael's comments
new ba23493 fix: set syntax
new ffd8f3d fix: increase robustness of label binarizer test
new 92ba802 sty: white space
new 89e1969 fix: change affinity check
new 6312a9f doc: clean up style and grammar
new e0959c9 ref: change name to indicate semantics
new 447b9d5 fix: removed unused keyword precomputed and clean up if clauses
new bda006d fix: moved random state check to fit
new 2978ad9 doc: removed merge diff markers
new 44253bc doc: align hyphens
new ec4cbef Merge pull request #1408 from satra/fix/rebase1396
new 9b6f848 clarify documentation for radius_neighbors
new a1bf446 FIX csr conversion in amg code in spectral embedding
new fad7143 COSMIT refactor input validation code; skip some issparse calls
new a5a01b2 plot fix
new e0bf76d variable name change
new fdf4846 ENH add random-seed args
new cb810f2 Merge pull request #1425 from arjoly/enh_bench_covertype
new df9fc91 Add missing assertion.
new 236c551 Added strided patch extractor to feature_extraction/image. Extracts patches 16x faster on the MiniBatchDictionaryLearning example
new 6394b35 Now added extract_patches for random extraction as well
new e19d70f Now replaced max_patches part by fancy indexing
new b5f347e removed stuff i commented out
new 1f7d3e4 testing for correct output shapes and patch content of the last patch for 1 to 3 dimensional arrays
new 68a788f Changes in documentation and notation
new 8078d70 TST : use assert_true and not assert in test
new ac48bbf Merge pull request #1424 from jaquesgrobler/plot_omg_fix
new aff7da7 Merge remote-tracking branch 'upstream/master' into gbrt-interactions
new ad4ac3e better input checking (e.g. for str features) more tests
new c9315d5 better handling of multi-class case (w/ symbol labels) more tests for multi-class
new f461456 code snippets for narative doc and restructuring
new 86f590e fix: random_state got initialized in fit_stage; caused same feature subsample in each tree
new 7ff28c1 add test for gbrt random_state regression
new 821f7a0 Merge branch 'master' into gbrt-random-state-fix
new f414ca1 Merge branch 'master' into gbrt-interactions
new b66a4d6 Add fit_transform to FeatureUnion
new a492302 Change / to (…) line continuation
new 691804a doctest skip: matplotlib not available on travis
new 2d0525b Add test case for FeatureUnion.fit_transform
new cb3129a fix: doctest in ensemble.rst
new 58070a2 Fallback to fit followed by transform if fit_transform is unavailable
new d454c13 FIX #1417: move nosetests configuration parameter to setup.cfg
new 1e595d9 Remove doctest-options from setup.cfg as not supported in old version of nose
new 3504e13 Merge branch 'master' into gbrt-interactions
new dd0deae rephrased the one-way PDP description
new 16cb053 Add test case for fit_transform fallback
new d3ce1ca Merge pull request #1428 from tnunes/feature_union_fit_transform
new 2b8bef4 Fix pipeline fails if final estimator doesn't implement fit_transform
new eb64f18 BUG: Don't test test_k_means_plus_plus_init_2_jobs on Mac OSX >= 10.7 because it's broken. See #636. Closes #1407.
new e85dd68 Merge pull request #1430 from erg/issue-1407
new 82a281a Merge pull request #1429 from tnunes/fix_pipeline_fit_transform
new 5773168 implemented predict_proba for OneVsRestClassifier
new 726b42b forgot an except clause
new 742072b removed unnecessary repeat
new 3340bf0 corrected doc for predic_proba, also caught few errors.
new fd930e3 wrote test_ovr_predic_proba method
new c4cbffc divided test for predict_proba into two functions
new 18a0a2e removed check for predict_proba method.
new 396a16f [pep 257](http://www.python.org/dev/peps/pep-0257/) and and other doc improvements.
new 48f0a44 corrected bad test in test_multiclass
new 166f32d Flake8 Corrections made
new fa0fd40 spell checked
new 482e576 Spelling is checked, passes Flake8 without errors.
new 9bec60a added backtick around self.classes_ in multiclass.py
new 15e40c9 new example added for manifold learning
new 8b9c248 Andy`s suggestions
new db28229 links for MDS
new 4fb669e small changes
new 9a15d93 final changes
new 80c7451 pep8
new f09a579 heading change
new d5ff04a FIX: amg requires sparse matrices input
new cc8bede missing _set_diag
new 4161f56 ENH cleanup tests, lower tolerance
new 9603b07 COSMIT pep8
new b7b91ef Merge branch 'master' into gbrt-interactions
new 4806bc4 Update what's new.
new 3be27ff Cosmits and typos.
new 3848f09 topics -> topic
new 0ba8617 Merge remote-tracking branch 'upstream/master'
new bf752dd use Agg backend with warn=False for matplotlib enabled tests
new 755164f check in ``if_matplotlib`` if $DISPLAY set
new 3de4442 FIX and test deprecated import of spectral_embedding from cluster
new 2c984ee TST better test-coverage in clustering module
new d173ab1 COSMIT in cross-validation tests
new 00f4fb2 FIX random state in test by @briancheung. Thanks
new a375cbf TST better coverage in dict learning and cross validation
new a3af919 TST better coverage in preprocessing module
new 43e3b7f DOC add matplotlib version requirement, rephrase
new cca3a35 fix spectral related testing errors
new 663539e COSMIT and unused lines
new a257181 FIX further improve the thresholds
new ee21736 Merge pull request #1440 from amueller/matplotlib_requirement
new a35bfd5 use subplots_adjust instead of tight_layout
new 8897c6d use 100 instead of 800 n_estimators; looks the same but faster; ESLII uses 800
new 66cce69 FIX discretization test have shape problem, use coo_matrix instead of LabelBinarizer
new 138bf89 ZipFile context manager is only available in Python >= 2.7
new 7024a5f Addressing @ogrisel's comments
new db98995 ENH: Simplify the shape of (n_)classes_ for single output trees
new 829afed COSMIT Mean Shift docs.
new 0799ee9 ENH: Simplify the shape of (n_)classes in forest
new 4b7ad61 PEP8
new f39354d TEST: regression test for shape of (n_)classes
new b31696c TEST: enforce flat classes_
new d278241 What's new: API changes
new c5ed18c ENH: better names for variables
new 74c17c6 Merge pull request #1441 from kuantkid/fix_spectral_test
new 331155b What's new: added :class: keyword
new de3b09a FIX: convert predictions into a numpy array
new caf69c0 FIX: docstring tests
new 3708afa Merge pull request #1445 from glouppe/tree-shape
new f6bd2e9 What's new: typo
new f118cba Display the test names to understand which test is triggering the segfault on jenkins
new 54fb2de remove reference to removed API, fixes #6
new 1b06789 COSMIT some fixes in whatsnew rst
new c64a6b3 FIX manifold example - sorry, my bad.
new 0bdf3d9 COSMIT RST in manifold sphere example.
new 61e2a71 ENH fix random seed in manifold example
new 25b60c1 ENH Nystroem kernel approxmation
new d4eb819 ENH renamed class NystromKernelApproximation to Nystrom (it is in the kernel_approximation module). Also improvements to example docstring
new 3636358 DOC docstrings for Nystroem.
new 9e6a904 ENH cosmit, gamma defaults do None, not 0. address some of @mblondel's comments.
new f3e8fb8 ENH tests for Nystrom, check that n_components is smaller than n_samples.
new 5bd197c DOC added note in example that digits data is to small.
new 22883c4 DOC narrative doc for Nystroem.
new f5a47bd Merge pull request #9 from benjaminwilson/master
new 0ed406b DOC updated whatsnew with Nystroem.
new 1a83c16 FIX: Do not rely on strides for contiguous arrays
new e2ed754 ENH: use broadcasting, not tile
new 210767d ENH don't import * in utils __init__.py
new 2f35fa0 cosmit: remove fourth quote
new 357f3c1 Call DecisionTreeRegressor instead of Tree
new ce7ea53 COSMIT Remove duplicated assignement
new 6f6d692 Use the check_input argument
new 14a3f74 DOC : add description of check_input args
new 8c418bc DOC explain parameter estimators_
new 77064a2 DOC explain parameter estimators_ (2)
new e8d21a7 ENH Move parameter checking to fit
new 44ba8ed COSMIT
new ba1d4f5 FIX casting bug
new af50266 ENH preserver contiguous property
new 2c71362 COSMIT
new ce735e8 DOC describe reasons for reshape
new f4f34d4 PEP8
new 5d0f417 FIX: perform transition from tree to DecisionTreeRegressor
new 6c60fe2 FIX feature importance computation + Enable smoke test of feature importances
new 210f62e Update whats new
new 9c94b37 ENH add author
new d436563 Merge pull request #1388 from arjoly/issue1047_gradient_boosting_uses_decision_trees
new 6c82a70 TST better coverage for GridSearchCV, test unsupervised algorithm.
new 67fccac Merge pull request #1458 from seberg/contig_strides
new 7242908 What's new: fix by @seberg
new 1eecf4c FIX roc_curve failed when one class is available
new 80fc25b COSMIT
new ba54ff4 DOC fix
new d657fb0 TYPO fixes
new 90c72a2 DOC address @amueller's comment
new 8dcc54c FIX typo
new 65f522b Update whatsnew
new 489aab4 BUG: Fix the random_state on make_blobs() in test_classifiers_classes(). Fixes #1462.
new 4bb41cb BUG: Make a RandomState object and use it in test_transformers(). Fixes #1368.
new 73a1229 TST better test-coverage for image patch extraction.
new f52e811 TST better coverage in kernel_approximation
new 0e77bce FIX spectral_embedding test erros, ADD spectral embedding to sphere examples
new 7064b3e FIX: fixed random_state for heisen doctest failure in multiclass module
new 2b56ee1 set min_density when growing deep trees during gradient boosting
new 08dff76 ENH input validation only in ``fit`` in LassoLarsIC, check that error is raised.
new 8eda5e1 TST document and test verbosity parameter of lars_path
new 270bc8e TST some more tests for SGDClassifier input validation
new 17e8f01 ENH / TST better coverage of supervised clustering metrics, slight cleanup
new 7cb50d1 DOC make unit test requirements a bit stricter. 80% is sub-par with current code-base
new e0c3aa4 COSMIT pep8
new 22b52eb COSMIT renaming chunk_size to batch_size in MiniBatchDictionaryLearning and MiniBatchSparsePCA
new b9c0c55 DOC add rename to whatsnew
new 52cc50a Merge pull request #1468 from erg/random-failures-12345
new c193eac Delete iris.dot in tree.rst doctest
new b07608e FIX: seed blobs dataset to have a stable spectral clustering under OSX 10.8
new e12c673 cosmit pep8
new c79862a Merge pull request #1478 from amueller/pep8
new d9138f4 Merge pull request #1451 from amueller/chunksize_batchsize_rename
new e4980bc Merge pull request #1470 from kuantkid/fix_spectral_cluster_test
new f986d74 Add comment in test_spectral_clustering_sparse
new 8437993 changed n_folds > min_labels error to warning
new 3fe598a removed tests for the old error.
new c8ae9a5 added test for warning. Added warning category
new 2b80d00 removed a carriage return in warning message
new 02fe944 added space between # and text
new 7177172 FIX GridSearchCV on lists that I broke in 8b3e4d06c05ac82130176161404f0434b74fe2c7
new 19cc55d ENH added test, started on cross_val_score
new aac12fa ENH allow lists in check_arrays
new e1972fa ENH make cross_val_score work, some refactoring in GridSearchCV
new 9fd6b52 ENH consistency: stuff is not an array if it doesn't have ``shape``.
new 7dae6bf TST GridSearchCV raises ValueError when precomputed kernels are not matrices.
new ef60f35 ENH Simplify estimator type checking in GridSearchCV.
new 909e700 Merge pull request #1465 from AWinterman/issue-1017
new e9d69d8 first pass at implementing sparse random projections
new 2bf3468 DOC: better docstrings
new 8fa242f DOC: more docstring improvements
new 5f4bc0c Remove non-ASCII char from docstring
new 110842a use random projections in the digits manifold example
new fc1e9a6 test embedding quality and bad inputs (100% line coverage)
new 1180cb2 typos
new 48323fe one more typo
new ea43920 OPTIM: CPU and memory optim by using a binomial and reservoir sampling instead of direct uniform sampling in the n_features space
new 16fa4ef note for later possible optims
new a617cd5 fix borked doctests
new 8eb8554 make it possible to use random projection on the 20 newsgroups classification example
new 60a86cc FIX: raise ValueError when n_components is too large
new 9701ce7 remove the random projection option from the 20 newsgroups example
new c4d5d65 leave self.density to 'auto' to implement the curified estimator pattern
new f0ece82 more curified estimator API
new 0ab2d64 useless import
new f2d738d change API to enforce dense_output representation by default
new 68f6904 ENH: vectorize the johnson_lindenstrauss_bound function
new 4ca8e34 started work on plotting the JL bounds to be used in the narrative documentation
new b0c1b6c More vectorization of the johnson_lindenstraus_bound function
new 8840fb9 More work on the JL example to plot the distribution of the distortion
new f13cbf4 WIP: tweaking JL function names
new 62b9d2b check JL bound domain
new 6649d5d JL Example improvements
new 2feb067 WIP: starting implementation implicit random matrix dot product
new 82cc48f working on implicit random projections using a hashing function
new a850892 OPTIM: call murmurhash once + update test & example
new 2b329b9 first stab at CSR input for hashing dot projections
new ba5ea28 implemented dense_output=False for hashing_dot
new 8e742d5 refactored test to check that both materialized and implicit RP behave the same
new cbb2e39 fixed broken seeding of the hashing_dot function
new 08cb357 leave dense_output=False by default
new 1e528c4 use the 20 newsgroups as example dataset instead
new 3621693 make it possible to use a preallocated output array for hashing_dot
new 510b4a0 missing docstring and s/hashing_dot/random_dot/g
new edafb48 COSMIT use sklearn.utils.testing
new 35c75bf ENH Let the user decide the number of random projections
new add00fa Clean random_dot features
new a069d97 Clean random_dot features (2)
new 961c27a Clean random_dot features (3)
new 2ac9b61 Clean random_dot features (3)
new a5ebd1d ENH let the user decide density between 0 and 1
new 84bc401 COSMIT
new 5aef6b2 ENH Strenghtens the input checking
new 956f3d8 ENH Add gaussian projeciton + refactor sparse random matrix to reuse code
new 2e29be3 ENH add more tests with wrong input
new 10aade4 ENH add warning when user ask n_components > n_features
new 3b96b91 DOC: correct doc
new 0bb6207 ENH add more tests
new 7219323 Update doctests
new f77185e ENH cosmit naming consistency
new 825303c FIX renaming bug
new 9a2d76a COSMIT
new 743f416 WIP: add benchmark for random_projection module
new eccbd90 ENH finish benchmark
new 75728cc Typo
new f014ed5 ENH optim sparse bernouilli matrix
new 6cc0997 FIX example import (name changed)
new e3dcdd4 FIX: argumetn passing selection of sparse/dense matrix
new e69281f ENH assert_raise_message check for substring existence instead of equality
new 0d20c6c ENH add two test to check proper transformation matrix
new 0843b66 PEP 8 + PEP257
new 23bdd88 DOC improve dev doc on reservoir sampling
new 4ea5fb8 COSMIT + ENH better handle dense bernouilli random matrix
new 2753422 FIX: make test_commons succed with random_projection
new d5ed2ff DOC removed unrelevant paragraph(s)
new 3fd684b ENH add implementation choice for sample_int
new 06da921 ENH add various sampling without replacement algorithm
new eff360b Typo
new 3a5abab TST: Add tests for every sampling algorithm + DOC: improved doc
new 260bdfa DOC: fix mistake in the doc + ADD benchmarking script
new 3676a3e ENH Rename sample_int to sample_without_replacement
new 63e9510 DOC + ENH: minor add in doc + set correct default
new f1776cf FIX: broken import
new 474663f FIX typo mistakes + ENH change default behavior to speed the bench with Gaussian random projection
new 4729024 ENH Add allclose to sklearn.testing
new 349af09 ENH improve naming consistency
new 057b8d9 PEP8
new 42a4a95 COSMIT
new 44a7e01 DOC + typo
new a9b73d6 DOC set narrative doc for random projection
new 77914ee FIX: broken test due to typo correction
new 32be546 DOC minor improvements
new 4702f6d DOC mainly switch from .\n:: to ::
new eb67e01 FIX typo mistakes
new 4cafda2 DOC improve name in example
new 8deb970 DOC Separate the jl example from references
new 15d0232 ENH Add jl lemma figure to random_projection.rst
new 4734f6a COSMIT (typo, doc, simplify code)
new dd4d885 pep8
new 2b7fd73 Typo
new 275aada DOC typo in narrative doc
new d1a223b DOC fix typo in filename
new ccea7f1 DOC clarification
new a6ed58d ENH flatten random_projection module + add sklearn.utils.random
new 980600b ENH refactor matrix generation BaseRandomProjectiona and subclass
new 7af5176 DOC improve layout (url)
new e511945 Make the JL / RP example use the digits dataset by default
new 06a477a FIX broken import
new a7ea4ee pep257 + COSMIT: naming consistency
new 50368c3 COSMIT
new a08b3c1 COSMIT
new 114e3fa Remove unused line
new a75a3dd DOC improve doc for jl lemma function
new 311faa5 typo
new 12c8d3b ENH Rename Bernoulli random projection to sparse random projection
new 616e2b5 ENH Rename Bernoulli random projection to sparse random projection
new 918d337 DOC add see also
new 7732a5f pep8
new 0788164 COSMIT make everything use the common interface
new 8931e67 DOC improve + fix mistakes + TST added
new db4422f ENH Simplify assert_raise_message + TST add them
new 9aa9a10 DOC add utitilies to the doc
new a0860b1 FIX don't use assert_allclose. It is not supported in numpy 1.3
new 81a8146 eps=1.0 is no longer a valid value
new a8fec8a Fix link to plot_lda_qda example.
new 0eaa6e9 Merge pull request #1483 from aweinstein/fix_doc_example
new dbc4689 Typo / fix in JL lemma example
new 754c2d9 COSMIT pep8
new 54385c7 COSMIT featuers -> features typo
new 966e10c COSMIT PEP8
new 983b45c COSMIT pep8
new b2cf99f DOC add version when setting parameters in fit will be removed to docstring
new ac2d29d FIX typo / bug in test_common that ignored the first init parameter.
new 72248f0 TST make test more stable.
new 2d4624d DOC + FIX density to Ping and al. recommandation
new 8340489 ENH make jl lemma work even with non numpy array
new 38868a6 DOC add default values
new 889966d Updates for DBSCAN clsutering docs
new 5b822a2 Couple of small changes from comments
new cc63e1c ENH slight improvement of common tests.
new 0df8fb2 Add failing test and no-op flip
new d5857bb Sign flipping as suggested by @ogrisel, not in place
new cf5d34e Make sign flip in place
new 9ca8f7e Test more seeds for svd sign flipping
new 0755f15 Add sign flip as flag in randomized_svd
new 160648d Make sure svd_flip test actually tests something
new 4040d42 Make randomized_svd flipped by default
new 5aed364 svd_flip test fails on Travis. Change random seed, see if it helps
new 641d0a7 Cannot easily ensure non-uniqueness without the fix, just test uniqueness
new 5b948bb TEST flipped svd remains correct
new f349fcf DOC slight cosmit in metrics docstrings.
new b91f5c0 FIX i should trust my past self a bit more
new 71d00d9 ENH use an array instead of a dict in RFECV
new 38b455d Cosmit pep8
new 07293bd TST a little more coverage in unsupervised metrics.
new 6782658 ENH clean up redundant code in pairwise
new 42e266c ENH more test coverage in pairwise distances
new 805a20e FIX more robust test for silhouette score
new ff3ea95 DOC classifier comparison: plot data without decision boundary first, better (imho) color scheme.
new 0ac4243 DOC add Nystroem kernel approximation to the references
new 5a6f7b5 FIX stupid mistake
new f0f1e06 FIX: MinMaxScaler on zero variance features
new c718bf9 Simpler inline comment
new e192ce4 Add one more test for MinMaxScaler on newly transformed data
new 5fbb227 ENH: issue warning when minmax scaling integer data + test
new 47305c0 FIX random_state in MDS was not initialized properly
new d483c08 COSMIT pep8
new 083a06e COSMIT Typo
new 2430f41 Improving code coverage for datasets module. Moved dataset imports inside test_data_home, because it is preferable for import errors to only affect the tests that require those imported methods. My first commit to scikit. -bcajes
new 9364e39 revert to original import placement style
new 337d776 ENH isotonic regression is now slighty more robust to noise
new a716b3c Added test to check whether the isotonic regression changed y when all ranks were equal
new 85c0b45 Merge pull request #1504 from NelleV/isotonic
new 19e8e03 ENH uses the IsotonicRegression classifier instead of the method
new 9301f14 FIX the mds example did not plot the NMDS
new 3352bba Type-os and added great links to learning more about Machine Learning
new 9d5ed3a Feedback from @amueller
new 2ef136c Add perceptron loss to plot.
new f17a517 ENH Add support for multioutput metrics
new 635a93f DOC add narrative doc for regression metrics
new 4061af5 Update what's new
new 2c22eb5 TST check that ValueError is raised when the number of output differ
new ecf7a75 ENH add mean absolute error
new 9e15d2a DOC cosmit alphabet order of classification metric in ref
new 564194e DOC typo
new 98a0b47 ENH add multioutput support for dummy estimator
new 1045780 DOC instance attributes + TST: do not record warning
new fd567ac DOC typo
new f5e8c21 ENH preserve output ndim
new 0d47916 ENH: add the squared hinge loss to the SGD loss example
new b44e779 threshold parameter was ignored in SquaredHinge loss.
new 31cb829 FIX - nmds now uses the same scaling as previously
new 7b53c9a Merge pull request #1505 from NelleV/mds
new d3262f3 moved class_prior in NB to __init__
new c60862a added deprecation warning to fit function
new 799bef2 fixed docstring tests
new 44c4096 fixed typos
new 0905269 added warnings
new 537e824 updated based on comments
new cc05add fixed local variables
new dc25f23 renamed the new parameter to class_wieght
new 11a389d fixed docstring test
new 795c20a COSMIT update warning, pep8
new 127c44b ENH refactoring class weights for SVM and SGD
new e8ec79d TST all classifiers now have "classes_". adjust test_common.
new dddad84 ENH remove class_weight_label from python side of SVM
new ff3bb3a ENH remove class_weight_label from sparse svm
new af3ff35 TST move test of "classes_" to the appropriate test in "test_common".
new 0dd3e13 FIX remaining doctests
new 843d795 DOC docstring for compute_class_weight
new 7d11aaa ENH remove class_weight_label from LibLinear python side.
new 2881702 ENH removed unused old function
new 6f9339a TST fix import in test
new 3be8a23 ENH addressed @ogrisel's comments.
new 956975a DOC changed docstring to be more clear.
new 35b1d39 ENH documented changes for SVC classes_ changes.
new 1c1538a ENH move utility function into dedicated file, not __init__.py
new d0c32a5 TST start on testing consistent class weights
new f25412f ENH nu-SVC doesn't support class_weights
new 0fbf223 FIX liblinear class weight in binary case, robust testing.
new 06f4077 cosmit whitespace
new ca9dcfd DOC add comment in liblinear
new bad3613 TST better test for class weights (that actually tests something)
new 7dc838e ENH test automatic setting of class weights in common test
new c75decd TST skip RidgeClassifier in class weight test for the moment
new 7edaaca DOC added fix to whatsnew.
new 2d5034d FIX don't test auto in ridge classifier as it is not supported currently
new 2d0ef35 FIX tests for auto class weights
new 6902e07 DOC more concrete whatsnew
new 30045e1 FIX skip tests for naive bayes for the moment.
new 76c66a0 BUG Cholesky delete routines wouldn't compile on Solaris
new 98909ce Welcome to Wei Li and Arnaud Joly.
new 86d417b DOC made myself contact for authors, changed my website to blog.
new 43a38f7 ADD : cosinus kernel calculation in metrics/pairwise.py
new edef908 add cos_kernel in help of decomposition/kernel_pca.py
new 20909e5 name change: cos into cosine
new 1fba2b8 change way of calculating cosine_kernel in metrics/pairwise.py
new 703102f add test for cosine_kernel in metrics/test_pairwise.py
new e96c0e5 correct indent pb and re-edit cosine_kernel help in metrics/pairwise.py
new 21b939e fix style issue by running pep8 on metrics/pairwise.py and on metrics/tests/test_pairwise.py
new 0665e74 remove duplicated test_cosine_kernel() in metrics/tests/test_pairwise.py
new 8d317e3 change test_cosine_kernel to include normalize from preprocessing.py in metrics/tests/test_pairwise.py
new 51b3cef remove duplicated dimension check in metrics/pairwise.py
new 61742f4 add reference to cosine similarity in cosine_kernel help from metrics/pairwise.py
new e26a5a0 modify cosine_kernel func to use normalize from preprocessing.py and change the test_cosine_kernel adding scipy.sparse inputs respectively in metrics/pairwise.py andmetrics/test_pairwise.py
new b3eac46 modify test_cosine_kernel to compare result obtain with linear kernel in metrics/tests/test_pairwise.py
new 0b04561 FIX: add prefix 'np.' to sqrt for test_cosine_kernel in metrics/tests/test_pairwise.py
new ad8dc1b FIX: move import of normalize function into the cosine_kernel call in metrics/pairwise.py
new db17315 TST add cosine_kernel to kernel tests, pep8
new 050b78c ENH lazy import of metrics in base, not preprocessing in metrics.
new 83d37ca Clean up test_pairwise.py.
new 1574e6d ENH document attributes in QDA and LDA, rename to adhere to sklearn conventions.
new 986fdfa More clean up of test_pairwise.py.
new 87810a2 Cosmit: break up long line.
new a9bdff7 Merge pull request #1517 from amueller/lda_qda_cleanup
new 704befc DOC fix shape of coef_ for LDA.
new 30dfa01 Improving code coverage for datasets module. Moved dataset imports inside test_data_home, because it is preferable for import errors to only affect the tests that require those imported methods. My first commit to scikit. -bcajes
new 305b9ec bring datasets.base to 97% coverage with a few more tests
new 2e119f6 removing backup file
new c7fa346 checking data.shape for each test dataset
new 38f784b TST somewhat hacky fix for tests on image loading.
new 03048dd ENH more logical behavior, better docstring, tests
new de9bcc9 FIX do checks even if allow_lists
new 7819e18 DOC try to be as clear as possible.
new 15ded1f ENH cleanup in check_pairwise_arrays, raise error on sparse input in chi2_kernel and manhattan_distance
new 69210da COSMIT doc formating
new 3a52436 train_test_split: test_size default is None If test_size is None and train_size is not None, test_size is the complement of train_size. If test_size and train_size are None, test_size = 0.25. Docstring is updated. Existing tests didn't seem to cover much of existing behaviour and no updates were added. New behaviour was tested.
new c61e1aa Modified docstrings
new 5a7f0a8 Modified docstrings and tests
new b779b70 DOC updated whatsnew
new 5f8a9b0 FIX: makes our libsvm port compile under MSVC
new e1934db ENH added class_weight to Naive Bayes docs.
new eb9e161 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 24494d3 FIX random seed in FastICA testing.
new 69eb712 DOC fix docstring of GMM
new c36a376 ENH Add "proximity" parameter to MDS.
new d519b2d FIX soime typos, modify test.
new 791a224 FIX another typo, fix examples
new 1aacfbe ENH updated to more examples.
new 685c652 ENH rename proximity to dissimilarity
new eb5b586 COSMIT reorganized functions in the module
new 60be687 DOC : add doctring in plot_lasso_and_elasticnet.py
new 58b55ac DOC: adding Bishop as ref for ARD
new 4cdf9e4 Merge pull request #1530 from agramfort/doc_lasso
new c7c4d53 COSMIT simplify unique_labels in sklearn.metrics
new 0acce47 Added code to address issue #1403
new 788a8dd X is not a constructor parameter.
new 9095baa Add missing types to docstring.
new 4ebd382 In preprocessing.binarize, eliminate zeros from sparse matrices
new 7c1d643 Added feature for issue #1527
new 8e423c9 Minor PEP8 fixes for issue #1527
new 824f6b4 Minor docstring fix for issue #1527
new ec2703d Added tests and docs for normalized zero_one loss
new b84bc65 Fixed pep8 spacing issue and floating point doctest issue
new 9fe2e93 Checkout files from ndawe:treeweights
new cbb8df6 FIX: roll back some changes
new 6c4bb29 FIX: what's new
new 38c56f2 flake8
new 546d539 sampling w/ replacement via sample_weights
new 8dcec88 ENH: early binding + allocate features at tree creation (by @pprett)
new bf418c9 FIX: oob test
new 2494366 DOC: sample_weight=None
new 25616ce DOC: what's new
new b9df877 DOC: typo
new 9593b83 DOC: cosmit
new d981f85 FIX: use sklearn.utils.fixes.bincount
new e949a42 ENH: use random_state.shuffle
new d8c9365 ENH: import aliases
new a314c9d ENH: import aliases (2)
new 68e25b1 ENH: import aliases (3)
new fa35dec PEP8 (some)
new dda9c60 TEST: sample_weight
new 72d767c TEST: sample_weight (once more)
new 9cdb787 ignore splits that yield nodes with net negative weight in find_best_split
new 329c1cd rm unneeded negative weight logic in Criterion.init_value and Gini.eval
new 8d9bb14 add note about negative weight treatment in BaseDecisionTree.fit
new 4bf2866 FIX: iris.target
new 7945e9d FIX: raise an exception if negative number of samples
new 4a5a507 add negative weights test (currently fails): predict_proba should still be valid probabilities
new 7f745b8 FIX: negative weight test. do not allow any class to have negative weight after a split
new f016712 TEST: use rng
new 8fc565f FIX: do not overwrite min_samples_split
new 78fc091 FIX: set min_samples_split=2 by default
new 64c671a DOC: document negative weight treatment in the case of classification
new f8b8102 DOC: updated docstring
new f4ce71e Typo
new b454d56 implement AdaBoost
new df4ecef use weighted mean in ClassifierMixin.score
new 7e97ca0 ENH: weighted r2 score for regression
new 0c1ae93 COSMITs
new 9ff1754 ENH: Added balance_weights
new a5e35d9 ENH: added some tests
new 6b77b82 FIX: test_oob_score_regression
new 4826fba FIX: DecisionTreeRegressor.score
new f227f9c FIX: compute weighted oob scores
new f6a8313 FIX: NaN problem + Added some tests
new 5f8049c TEST: added some more tests
new 78c484d EXAMPLE: simplify n_estimators and n_samples
new aaaf1cd TEST: importances
new af8384c TEST: multi-output problems
new f188ed6 ENH: WeightedClassifier/Regressor mixins
new b1fd7db DOC
new 491379d FIX: import not used
new aa5d3d9 FIX: overlapping y-axis labels
new f1c9bab FIX: use generator instead of np.random
new 4c81a1e rm doctest in make_gaussian_quantiles
new f3b0e65 fix variable naming in weight_boosting
new a5723e0 FIX: drop support for multi-output
new f3873ea TEST: errors
new 0f620c1 ENH: staged_score
new 81aaede EXAMPLE: reduce the number of samples
new 562b60c EXAMPLE: merge plot_adaboost_iris into plot_forest_iris
new 59740fd EXAMPLE: drop plot_adaboost_quantiles
new cf0d074 FIX: move balance_weights into preprocessing
new 2604e97 PEP8 + PyFlakes
new bf54f1a FIX: broken test
new 91c9e00 FIX: one more bug
new 678a401 FIX: remove prints
new 89fe823 DOC: edited some docstrings
new b12be6b DOC: added references into classes.rst
new b5d3e93 ENH: rename boost method to _boost
new e5ce8f9 DOC: cosmits + narrative documentation (begin)
new ac18e8f DOC: proper citations
new e9dbfc4 DOC
new e1a76d4 FIX: TypeError for regressor
new 12580a9 FIX minor comment
new 15d3baf FIX: docs, code clean up, learn_rate -> learning_rate
new d7524d9 FIX: plot_adaboost_classification.py
new 43d4275 don't enforce DTYPE at the ensemble level
new cea3b90 DOCS: note generator behaviour in staged methods
new b628be2 TEST: make test_importances more stable
new 5d29218 DOC: narrative documentation
new 18830cf DOC: What's new
new 58f1b78 TEST: base_estimator
new f5690ab DOC: classes_ and n_classes_
new d2050e7 DOC: put docstrings into subclasses to make them appear in the documentation
new 86675a6 rename learn_rate -> learning_rate
new 9799e58 raise ValueError if len(y_true) is less than or equal to 1 add some tests for weighted_r2_score
new 0eec74e DOC + Better default parameter values
new a5c71c6 DOC: cosmits
new bf14e98 DOC: typo
new 5b293bc PEP8 and DOC
new 5f5b627 ENH: use shuffle
new e024e81 Make BaseWeightBoosting abstract and other misc changes
new a2a4333 Roll back some changes
new c280f57 Roll back some changes (2)
new e42b608 FIX: what's new
new 11cdef7 ENH common test that set_params returns self.
new 00f5a02 DOC: fix typo and formatting around MurmurHash3
new 9e1fcd9 DOC add narrative overall description of classification metrics
new 96751e0 DOC add hinge loss narrative doc
new 754038e DOC Set reference links in the doc
new 21a19d5 DOC add narrative doc on zero_one loss metric
new be5037d DOC add narrative doc on zero_one_score
new f30261e DOC add narrative doc for precision, recall and fbeta measures
new 879b8e1 DOC add narrative doc on roc curve
new 23c1067 DOC add narrative doc on auc and average precision
new b105993 DOC add narrative doc on matthews_corrcoef
new ada3532 DOC add narrative doc for explained variance
new 95fab3e DOC add reference to multioutput metrics in regression
new 4d4a1e0 DOC add link to clustering metrics
new 765173c Update what's new
new e7b8f6e ENH renamed metrics.zero_one to metrics.zero_one_loss
new 6cf5ee0 ENH rename zero_loss_score to accuracy_score
new 8d901ba ENH ClassifierMixin use a metrics from sklearn.metrics
new 4db98e2 DOC add classification_report to the narrative doc
new 46094fa DOC typo and mistakes
new 4c49bab DOC comment from @amueller + several minor improvements
new 2e911f0 TST + DOC add many examples on sklearn.metrics
new e3506ae DOC typo + minor improvements
new b0cfa10 DOC remove redundant comment
new 4aa4698 DOC better example with dummy estimator + link to appropriate reference
new 17d5fef ENH use deprecated decorator
new e9bc6ca FIX DOC missing default behavior change
new d9a4cd6 DOC COSMIT pretty math
new 8a8ea33 DOC clarification of api change
new fd5801e FIX catch deprecation warning
new bb1b795 COSMIT (don't change anything see sparse_random_matrix)
new 787e82b Added CSC matrix testing for binarize and added type tests.
new cd1bc46 Move more minor contributors to what's new file.
new 47502d3 Remove contact address.
new 860ce37 revert changes to grid_search
new 51fe354 FIX: import
new 3fd0870 revert implementation of sample weights in BaseWeightBoosting.staged_score
new 18d1209 revert a few spurious changes
new 6219434 pep8 + pyflakes, use arrays for errors_ and weights_
new 446fe62 init weights_ to zeros and errors_ to ones
new b6d1fa8 add Hastie 10.2 example
new f2e0b25 pep8
new aa61247 Typo
new fa5d064 FIX add doctest ellipsis
new f0bbfb3 FIX doctests dtype
new 239019a COSMIT remove empty file
new 68fd7a3 fix: docstring for power_t in SGDClassifier was not correct (0.25 instead of 0.5)
new 0e5bb0c cosmit: rephrased doc
new 37c1d09 COSMIT shut up the build by calling np.import_array in Cython modules
new 2694e50 Merge pull request #1556 from larsmans/cython-cleanup
new 305c304 COSMIT wrong path in .gitattributes
new ca2b6e0 Update sklearn/metrics/metrics.py
new 61cb459 Added MinMaxScaler inverse_transform for issue #1552
new 842d6ae6 Dummy commit to trigger travis
new bd5e502 P3K fix incorrect import
new 74fa5a5 Merge pull request #1562 from kmike/master
new e90b4f6 MOD use safe_asarray instead of np.asarray
new 277c037 MISC update my mailmap
new f45afdc implement SAMME.R algorithm
new 534831b update adaboost hastie example and weight_boosting tests
new 7a2cba9 Merge pull request #1561 from kyleabeauchamp/MinMaxScaler_Inverse
new 0cf30e2 Merge pull request #1536 from kyleabeauchamp/issue-1403
new 8291fcb use broadcasting
new 4aea9a8 combine real and discrete algorithms under one class
new c4eed7e DOC: AdaBoostClassifier real arg
new 5fa23ac Typo
new 30174c6 update example: fix histogram range
new 8a27f1e Merge branch 'master' of github.com:scikit-learn/scikit-learn into adaboost
new fe1acac FIX: broken test
new de392c2 FIX: @amueller comments
new 493f972 Cosmits, code structure and tests
new a0b7283 EXAMPLE: better plot_adaboost_regression
new 16f2f29 Revert changes on plot_adaboost_error.py
new fef892c added links to astropy and scipy workflow guids
new 1a4ec9b Merge pull request #1564 from jaquesgrobler/contributor_guide_links
new 9c907dd MOD address @mblondel's comments
new 5e826d1 MOD move generating matrix out of the loop
new 703cc06 Merge pull request #20 from glouppe/adaboost
new 94215eb DOC: Fixed wrong link and formatting in decomposition docs
new 03f67a5 ENH: set default parameter values
new e335f64 Cleanup
new db0eade Merge pull request #21 from glouppe/adaboost
new ee5811b DOC: fixed latex and formatting in SVM docs
new 1d6d08f update adaboost example: exposes instability
new f22c061 Merge pull request #1563 from kuantkid/sparse_knn_graph
new 59b5602 DOC more accurate comment in class weight computation
new d2b16cb FIX make sure laplacian in spectral clustering test is really PSD
new 33d6fbe displace predict_proba by 1e-10
new 0324a36 EXAMPLE: give plot_adaboost_classification some love
new da5ee3f DOC: narrative documentation
new e3dc80b Merge pull request #22 from glouppe/adaboost
new fe9b89f DOC: more consistency in metrics docstrings
new 340311c DOC: More consistency in metrics and clustering metrics docstrings
new dbdc8d3 DOC: more consistency in docstrings for unsup clustering metrics & missing link
new f6548c4 DOC: fixed missed details in metrics docstrings
new 901d933 DOC: addressed more inconsistencies in metrics docstrings
new 452ca22 ENH: use lgamma function from John D. Cook
new b2a3f97 Merge branch 'master' into lgamma_port
new 5ca8ff4 FIX: adaboost predict_proba
new 07a0c47 only boost positive sample weights
new fb02cc6 FIX: only boost positive sample weights
new 9be24cb Merge branch 'master' of github.com:scikit-learn/scikit-learn into adaboost
new 9a0b44b Merge pull request #23 from glouppe/adaboost
new 35949fb FIX: negative and zero probabilities while boosting with SAMME.R
new 81b84c1 FIX: doctest
new 71ff28c FIX: doctest and slightly larger displacement from zero probabilities (32 vs 64bit doctest instability)
new 872ea4b remove weighted_r2_score (leave for next PR scikit-learn#1574)
new 4d1a652 revert spurious change in metrics.py
new 79b3527 FIX: use full decision tree in AdaBoost and fix title in plot_forest_iris.py
new 6ef53e8 DOC: add __doc__ to plot_adaboost_hastie_10_2.py
new 1ca2401 FIX: reference format
new 6b13691 FIX: show decision boundary in plot_adaboost_classification.py
new 15b1d97 zero_one_loss now does normalize on default.
new 84ed0f8 FIX: refactor plot_adaboost_classification.py and add legend
new ad64a0d rename plot_adaboost_classification.py -> plot_adaboost_twoclass.py and add predict_twoclass method to AdaBoostClassifier
new 8b41d8c DOC add recall_score to new classification metrics listing
new 204b0aa FIX: only possible split sometimes creating children with negative or zero weight in the presence of negative sample weights
new 07798e2 FIX issue #1457 KNeighbors should test that n_samples > 0
new 1c59bbd Changed a minus sign to a plus sign in the documentation of n_jobs in some files.
new deca12c Merge pull request #1577 from ApproximateIdentity/n_jobs-documentation
new e93bd6e FIX: improve multi-class AdaBoost example (rename to plot_adaboost_multiclass.py)
new a248b1e add author
new a717125 typo
new 778b77b use metrics module and pep8
new cdfbd5a typo
new dcd66a8 fix class ordering in two-class
new de87e91 DOC document gamma in chi2_kernel.
new 040b0b8 update year in copyright notices
new 97a60de Fresh fixes of grammar errors
new d9236ed Grammar fixes
new e53c1a9 Changed minus sign to plus.
new a2d23b6 Merge pull request #1578 from zaxtax/elastic_documentation
new 6ea2b14 TST add common test to check if estimators overwrite their init params
new 9c46400 ENH use only a few samples in test.
new 696dd6f FIX in tree and ensemble: don't overwrite random state in fit.
new c8e7e39 FIX don't overwrite random_state in fit in EllipticEnvelope
new fd8a1d2 FIX don't modify random_state in clustering algorithms.
new a56d213 ENH make code more clear: MiniBatchKMeans only uses random_state in first run of partial_fit.
new d6225ee FIX in ward: don't overwrite n_components.
new c0323d1 FIX remaining parameter issues in GradientBoosting
new b2d3435 TST took the safty off the tests ;)
new 97305ea Merge pull request #1582 from ApproximateIdentity/doc-n_jobs-parallel
new a1448fb ENH we require a version of sphinx sufficient for "new" numpy_ext to work
new da0e34b FIX instead of appending numpy_doc to the list of extensions, directly add when creating the list
new eff42b9 faster sample_weight initialization
new 6ecfbfe speed improvements to make_gaussian_quantiles
new a23928a even more speed improvements to make_gaussian_quantiles
new c33197d py3k
new 49e9391 BUG don't write comments in SVMlight dumper by default
new 53c3164 DOC: note initialization of sample_weight if None
new 0a319df factorize common sample_weight check
new 9e3ef39 DOC some sphinx fixes
new 44fe9be DOC fix in mds example (new interface)
new f5cfa64 DOC mds example: suppress warning for explicit initialization
new 13e78ff DOC don't use deprecated parameter rho in the lasso / enet examples
new 7aa26a8 COSMIT typos in hierarchical clustering warning
new dee73f9 DOC more sphinx fixes
new c59af39 BUG hotfix for issue #1501: sort indices in SVMlight i/o
new 03bf125 Merge branch 'master' of github.com:scikit-learn/scikit-learn into adaboost
new 2904265 FIX: some nitpicks
new 80930b1 Merge pull request #24 from glouppe/adaboost
new 9da3468 EXAMPLE don't use deprecated interface in lasso model selection
new 4f1bc46 COSMIT pep8 in examples
new d5ce8dc COSMIT pep8
new 0cb8963 DOC more sphinx fixes
new c75dd39 FIX sort indices in CSR matrix for SVM
new 70ae016 DOC fix travis URLs in README
new 578034e TST sorting CSR matrix indices in SVMlight file handling
new d4bed81 dpgmm: setting the weights to something reasonable
new 36e080a TST add regression tests for Alex' fix.
new 47b1ba0 COSMIT: pep8
new 18352da ENH rename cosine_kernel to cosine_similarity. Also make the test actually do something.
new a37445a DOC improve cosine similarity docs
new e4b215f TEST: fixing randomly failing test
new dfcc235 DOC fixed problem in citations in spectral_embedding
new ac23a7d COSMIT typos
new 88ea77e ENH don't use deprecated class_prior fit parameter for NB in test
new 79a79b2 ENH in spectral_embedding: do input validation before anything else
new 8df28b0 TST in testing deprecated load_filenames catch deprecation warning
new fd117f1 TST catch expected warning in sparse coordinate descent test.
new 9ddaac3 remove 1000`s of warnings from example
new 19ea420 Merge pull request #1592 from jaquesgrobler/master
new 1ffa66c P3K: division should produce integer.
new 57aea36 P3K: Fixed print related Python3 errors
new 743035f P3K: avoid iteritems / itervalues when feasible
new 8cc7c96 P3K: decode error message in svm wrapper
new d24caae DOC : missing alpha doc in LassoLars
new 9bbca58 DOC cosmit fix column span alignment errors.
new b0e6681 FIX example uses old parameter name
new b0ac1fc COMPatibility more careful deprecation of mode and k in SpectralClustering
new 7fb10b9 COMP more careful deprecation of seed in SGDClassifier
new f0e8abe COMP add deprecated property rho to ElasticNet
new 1024662 COMP keep seed as init parameter of Perceptron, only deprecate
new 1a57dab COMP add deprecated ``labels_`` property to LinearSVC
new 7637261 FIX deprecated properties in ElasticNet
new fa5a698 COMP in SVC rename self.label_ to self._label (it is redunant now but I don't want to refactor the rest of the day) and add a deprecated property label_, that points to classes_.
new 6f3d7aa FIX in Perceptron and doctest
new 4ff7970 FIX in common tests: don't test init parameters that are deprecated. They might be changed.
new 4461aae FIX some doctests for SGD
new 5e0dd46 COSMIT typo thanks @jaquesgrobler
new 68bfc90 ENH don't return deprecated parameters by get_params.
new da336ac FIX typo in spectral clustering deprecation
new 04bedd8 TST catch deprecation warning when testing SVC label_ attribute, also test new classes_ attribute.
new 39b3d41 ENH: output processing speed in MB/s for vectorizer example
new d3a0aaa Initial work on hashing vectorizer
new f10cb47 Add fit_transform support using the TransformerMixin + missing ABCMeta marker
new 9c66bb7 Improved the clustering example with HashingVectorizer
new ecb706a Remove TransformerMixin from vectorizers and do a direct fit_transform alias for HashingVectorizer instead
new e27c199 Improve module docstring of document clustering example
new d7b2f92 COSMIT make BaseVectorizer a mixin
new add5689 cosmit
new 72e3054 Updated whats_new.rst
new e57c6b2 DOC: Started section on hashing vectorizer in narrative section
new fe38fb9 DOC: narrative doc for HashingVectorizer
new de9d734 DOC: typos
new 26d8bf7 DOC: merged the whats new entries and add links to the narrative doc
new 592c0f7 DOC: address @mblondel's comments
new 0c2a87f ENH: measure feature extraction speed in document classification example
new d564e66 DOC: typos
new 5ae14af DOC copyedit HashingVectorizer docs
new fb8ae6a DOC reorganized whatsnew a bit, put new estimators on top.
new 56b4776 DOC added user guide links to all estimators on the whatsnew page
new c708381 DOC some more fixes for whatsnew
new 5f06795 EXAMPLES add header to hash_vs_dict_vectorizer.py - otherwise it won't show in the html docs.
new bf1aac6 COSMIT pep8
new 6f8b2a5 ENH undo renaming of class_prior to class_weight in naive bayes
new d37cead Merge pull request #1529 from vene/lgamma_port
new 4269bf2 DOC some more minor fixes to syntax / links
new c1ffb19 Merge pull request #1598 from amueller/naive_bayes_class_prior_rename_revert
new 637d891 DOC fix indentation typo
new 906290e ENH: rng local to tests
new c050d28 TEST: add a test of sample weights
new 94404fd TST: improve last test
new ceb78a7 BUG: fix sample_weights in ridge
new e3dd35f BUG: shape bug in tests
new cc22dc8 BUG: fix sample weights in ridge
new 83a9151 BUG: Ridge: sample_weights in intercept
new 8c41be3 TST/BUG: test_common sample_weights in ridge
new ada1578 DOC added commit counts for 0.13 to whatsnew, added website for Rob Zinkov aka zxtx
new 1a030f0 ENH: random reassignements in MiniBatchKMeans
new 22ba844 ENH: fine tuning to the random assignement
new 2b61805 DOC: example of dict-learning with KMeans
new 70a3090 DOC: improve online KMeans example
new 4ba01b6 DOC: dict learning with kmeans in narrative doc
new 134df77 DOC: fix typo
new c83adb5 BUG: check n_clusters == len(cluster_centers_)
new 10d4cab PEP8
new 5d97a11 DOC: change the example to lighter dataset
new 6009c05 ENH: more control on reassignment in MiniBachKMeans
new cab6e72 DOC: link to example
new aff0868 DOC: add comment
new a68a340 DOC: complete whats_new
new a27c0db TST: random reassignment in MiniBatchKmeans
new d2341b5 TST: test verbosity mini_bach_kmeans
new 2a8db773 ENH: control random_state in MiniBatchKMeans
new bd5671e Added n_jobs to multiclass.py
new d0feab0 Revisions due to previous pull request.
new 7a595b8 COSMIT: simplify parallel code in multiclass
new ed169d9 First draft of new Affinity Propogation description in docs.
new 4ec84f1 Who doesn't love equations?
new d498833 Spelling
new 3fbd098 Update doc/modules/clustering.rst
new 0028fb4 DOC: put math at back, simplify formulation
new 4d73592 MISC: fix rst in whats_new
new 10c690f MISC: index arrays with integers
new 780c9b9 DOC: voronoi + kmeans picture
new e52e247 COSMIT pep8
new 53a9b64 Add temporary survey banner
new 3e89aa5 DOC updated commit counts.
new 19beac8 REL change version to 0.14-git everywhere, update news, support page.
new 9cf67f9 REL changed version to 0.13 everywhere.
new a9e6d5c add decision_function and staged_decision_function and refactor some code
new f973c27 Merge remote-tracking branch 'upstream/master' into treeweights
new 86e8b0d website: fix for survey bar
new 74b2382 website: fix for survey bar
new 7267e4e COSMIT rm deprecated svm.sparse module
new 69d1650 COSMIT rm deprecated attrs from [LQ]DA
new b69fb64 BUG last references to svm.sparse
new f8a7274 DOC typo: Pereptron -> Perceptron.
new c770e2f Merge pull request #1604 from darkrho/doc-linear-model-typo
new f7e0023 ENH : add reconstruction_err_ for NMF with sparse input
new 07c56d7 COSMIT rm deprecated stuff
new feee36d FIX: Cast floats to int before slicing in robust_covariance
new a186db4 BUG fix failing doctest
new 58723f6 BUG one more failing doctest
new 90dc434 Merge tag '0.13' into releases
new b4f780b Merge branch 'releases' into dfsg
new 0749be2 Merge branch 'dfsg' into debian
new 6462dcd changelog + refreshing patchset
new 226f77a debian/rules - removing exclusion of tests previously failed
new 351a30b added patch changeset_567460a602b4e2fc6029b2d063988408061b7974.diff to "cherry-pick" 567460a602b4e2fc6029b2d063988408061b7974 (BF: explicitly mark train_test_split as not the one for nosetesting)
new 123a991 BF: explicitly mark train_test_split as not the one for nosetesting
new 3d89ae1 ENH: remove boost_method parameter and use a string as switch
new 2497856 ENH: weights_ -> estimator_weights_
new bae2d1b BUG move label_ from BaseLibSVM to BaseSVC
new 31f412a COSMIT decouple regression and classification in SVMs
new 7ed0063 Merge pull request #25 from glouppe/adaboost
new f0fb4f4 pep8
new 123c318 use scipy.linalg in test_nmf.py
new a119337 adding comment on why sparse frobenius is ok as done
new d263ee4 DOC: typo in warning
new 5be04bf fix: map labels to {0, 1}
new 83026a8 fix: deviance computation in BinomialDeviance was wrong (ignored cases where y == 0) - thanks to ChrisBeaumont for reporting this issue
new caeb299 raise ValueError if division through zero in LogOddsEstimator
new 1a09e20 add loss function for gradient boosting binomial deviance
new 1ba8f07 remove the equaldistance code warning, replace with doc warnings
new e47bd5a typo fix
new c83ce41 remove warning
new 0985264 warning removal
new 82bcda2 update warning box
new 329aa4e deprecation warnings, indent fix
new abee93d andys suggestions and test
new 44360a3 pep8 and assert_equal instead of assert
new e369c43 COSMIT remove unused imports, pep8
new 9ddb9ca correct docstring
new 11b126f Merge branch 'master' into gbrt-deviance-fix
new c0d4015 BUG allow outlier_label=0 in RadiusNeighborClassifier
new 2dfe13d BUG in RadiusNeighborClassifier outlier handling
new 30a3a0d Merge pull request #1576 from mrorii/fix_kneighbors
new 74d9b66 ENH rewrite radius-NN classifier's outlier handling
new e1b583e WIP: doc hyperlinks, fixed size thumbnails
new 0e160aa gzip support, whats_new
new d365c1b use Sphinx searchindex.js
new 4c871de no_image.png for examples w/o thumbnail
new a10365b fix paths for Windows
new 38af9c5 use unique from sklearn backports (return_inverse)
new 23cb9ea FIX: pprett comments
new 5bfe75a DOC: Added a References section in _samme_proba
new 2aa64fa COSMIT: flake8
new 3cc2054 ENH: weight -> estimator_weight
new 6751e52 ENH: weight -> estimator_weight (2)
new 2e8a70e ENH: weight -> estimator_weight (3)
new 1eb07eb EXAMPLE: better x-axis label
new 5d5e376 EXAMPLE (2)
new efb382e Merge pull request #26 from glouppe/adaboost
new a23a98e Update travis config to remove -qq flag for scipy
new 965b6e4 links for scipy, cleanup
new cea09f1 Merge pull request #1607 from agramfort/reconstruction_err_nmf_sparse
new 1271b4d DOC: small fix in the regression's score method documentation
new c56a915 update adaboost regression example and use estimator_errors_
new 79d4175 rm n_estimators argument from predict methods
new 8cb6e18 DOC: fix docstring for make_gaussian_quantiles
new c44d63c changed wording in linear model docs about Normalized. It was frustrating me haha
new bdf2d4b TST some more tests for multi output lars
new 707c0f4 FIX: alpha=.5 and use more difficult dataset in two-class example. Add mean and cov arguments to make_gaussian_quantiles
new f431060 FIX: learning_rate default value consistency
new e421c01 FIX: TypeError message if base_estimator does not support class probabilities
new 54ee881 FIX: comments from @ogrisel
new 029b29c BUG: reassignment_ratio == 0 in MiniBatchKmeans
new c06444c make learning_rate=1 default for classification
new 19c6a57 only sum sample_weight once
new 2699cff Minor bug fix in metrics.adjusted_rand_score
new f319bb9 Added tests
new c638437 rm sphinx/docutils formatting in exception messages
new ab27f37 inline comment about learning_rate in hastie example
new 8450880 add note about SAMME.R converging faster than SAMME
new 68d2388 COSMIT translate lgamma replacement to C and clean it up
new 16244a0 BUG: sparse center reassignment MiniBatchKMeans
new 8214100 BUG: sparse vs non sparse centers
new a2e37eb COSMIT add lgamma to gitattributes
new 39a431a add note about y coding construction
new e21399f add description of dataset in two-class example
new 71f81eb fix missing parenthesis in make_hastie_10_2 dataset
new c6db8e6 add warning for no internet
new 42b2995 BUG: fix test to use sparse array
new 4a797e5 FIX: make_hastie_10_2 reference docstring
new b56674a DOC: add a short dataset description in hastie example
new 2eeb724 DOC: narrative documentation
new 6017e4a DOC fix typo in LinearSVC error message
new c35d509 DOC: reference for discretise option
new e7ad4fd Merge pull request #27 from glouppe/adaboost
new 5cde80b DOC update SMART notation in TfidfTransformer docs
new 837093d P3K: use print as a function in the examples
new 3485b2f FIX make error message work when return_path=False. Btw I feel that getting "references" for numbers out of numpy arrays is pretty ugly.
new 23dfc0c TST fix random states in all dict learning tests, make test independent of test sequence.
new ba777f4 DOC: make distinction between evaluation and pairwise metrics.
new 1a1c4ca Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 4ed0edb Revert "trying travis cfg with system-site-packages"
new de898ee COSMIT pep8
new f3b6dd3 Adding support indices in svm for sparse matrices
new ba5c99e COSMIT PEP8
new 418b6a1 Adding test to check support_ is equal in dense and sparse matrices
new f9d15a3 COSMIT PEP8
new a91fd1d Recompiled base
new 2831ee2 DOC add return values of cross_val_score and train_test_split to docstrings.
new a7db2af import pylab as pl
new c23dd74 remove check for fit_predict
new f04e368 fix importance test and test both SAMME and SAMME.R algs
new 8835435 don't show class B probabilities in two-class example
new 07e6834 two-class decision scores -> decision scores
new e8a8101 clarification on two-class decision scores plot
new 491319d explain decision scores in two-class example
new 536e50d fix AdaBoost.R2 and update example
new 29fa16c DOC: loss_function
new 63d524e fix failing tests
new 5e49c13 fix failing doctest
new 79f606f FIX: doctest
new ed93183 EXAMPLE: add AdaBoost to plot_classifier_comparison
new 06220ee Merge pull request #28 from glouppe/adaboost
new ab4cd62 ENH added test, started on cross_val_score
new 6eb2c1b ENH adding SomeScore objects for better (?!) grid search interface.
new e8fa4c3 ENH refactor, taking @GaelVaroquaux's and @ogrisel's suggestions into account
new b4ef84c ENH deprecated ``score_func``, introduced ``score`` parameter in GridSearchCV
new be375cb TST test giving score as string in GridSearchCV
new e58e135 FIX rename ``score`` to ``scoring`` because of the name-clash with the ``score`` function.
new a347fbf FIX two score objects, adjust tests to new interface
new 7bcfa36 ENH remove old interface completely from tests.
new 1db5e70 DOC fix docstring
new 801e265 ENH working on cross_val_score, trying to simplify unsupervised treatment.
new 50542dc ENH better testing of old an new interface. Still a bit to do for unsupervised grid search, though.
new 773c799 FIX usage of scores for unsupervised algorithms.
new 1ec4a21 ENH use new api in permutation_test_score, don't use old api in testing.
new e6484c4 ENH fbeta score working, more tests
new 46c2649 DOC-string for AsScorer
new 053b6e7 ENH renamed ap and auc, added RecallScorrer
new e2e8d0b DOC narrative docs for scoring functions. Put them next to GridSearchCV. Should they go into metrics?
new ffa0b9d ENH update example, minor fix.
new 8111ec0 DOC improve cross validation and grid search docstring
new 53f8973 FIX rename error
new 7aaee87 DOC add whatsnew entry
new b256d13 DOC fixed formatting in user guide
new 98b5d10 FIX example
new aee8e8d DOC added a new template to sphinx so view the "__call__" function.
new 2734bef COSMIT address @ogrisel's comment.
new c04da31 FIX rename ZeroOneScorer to AccuracyScorer
new a728ee2 DOCFIX for zero_one_score / accuracy_score renaming
new fb8285a DOC add narrative about score func objects to the model_evaluation docs.
new 8511f48 ENH rename scorer objects to lowercase as they are instances, not classes
new b118b93 DOC minor fixes in pairwise docs.
new 4fc3f43 ENH/DOC add "score_objects" function for documenting the score object dict.
new 394f87b DOC add metrics.score_objects to the references
new e1d9376 DOC use table from score_functions docstring in model_evaulation narrative.
new a92adad DOC move scoring function narrative above dummy estimators, fix tables, some refinement.
new 0d7e1a6 DOC minor fixes in score_objects documentation.
new e9556eb DOC better table of score functions in grid-search docs.
new 2d9cb81 ENH GridSearchCV and cross_val_score check whether the returned score is actually a number, not an array (otherwise cross_val_score returns bogus).
new 43e1c39 TST improve coverage of permutation test scores
new f650ad4 TST slightly better test coverage in cross_val_score
new 374f81a COSMIT built-in typo
new 385e581 DOC some improvements as suggested by @ogrisel
new 99f6a56 TST add test for pickling custom scorer objects
new 4847227 DOC more improvements by @ogrisel
new b5cc3ba COSMIT rename AsScorer to Scorer
new 31254c2 COSMIT :: in rst is easier for syntax highlighters
new 03aa748 DOC: minor formatting in model_evaluation.rst
new 8db5750 DOC: minor rst issues
new 9d8e6e9 DOC: misc rst formatting
new 6711dfc API consistency with gradient boosting: loss_function -> loss
new ee96e7d MISC moved score_objects.py to scorer.py, added module level doc string and license note.
new 6f79e47 DOC add kwargs in Scorer to docstring.
new 51c3678 ENH add ``__repr__`` to Scorer
new 318278e DOC addressed @ogrisel's comments.
new 0730e73 COSMIT text reflow
new e375677 MISC pep8: rename scorers to SCORERS, remove score_objects getter
new dbfd837 DOC remove duplicate table, add references to appropriate user guide section to docstrings of cross_val_score, GridSearchCV and permutation_test_score
new 266fd0c DOC add note on deprecation of score_func to whatsnew
new 3d3a305 FIX imports for Scorer and SCORERS
new 31fb403 DOC fixes in whatsnew, typo
new 8ca3647 TST smoke test repr
new 8ecc504 FIX: some of Gael comments
new 92be923 ENH import six package for Py2/Py3 compat in a single codebase
new 9b183a8 Merge pull request #29 from glouppe/adaboost
new 41f3f39 minor edits in docs
new cde9fbf P3K: support for py3k in dict_vectorizer module
new 19ed9b0 ENH refactor univariate feature selection
new 57b86fc P3K use six.string_types and six.PY3
new 819b322 P3K one more iteritems
new be2394a DOC: notes about examples and minor edits
new fb95fc2 PY3: Fix stdout capture in graph lasso test
new 0693734 P3K More python 2 / 3 compat in tree exports
new db52852 COSMIT rm Python 2.5 and Jython compat from six
new 68d0423 BUG fix import problem in preprocessing
new f4a283a COSMIT: prettify code and figure in example
new 1f95b18 COSMIT
new f03e7f3 Merge pull request #1644 from jaquesgrobler/doc_url_error
new c235ef4 Merge branch 'treeweights'
new 171f682 What's new: Adaboost
new 7d4034a COSMIT removed unused imports, fixed error message in test of boosting
new 293c78b ENH break ties in OvO using scores
new 0449d51 TST test for breaking OVO ties
new f7c79fb test case for unfitted idf vector
new fcca1df raise ValueError for unfitted idf vector
new 1adfed9 Merge pull request #1656 from rlmv/idf_diag
new f7f5424 Remove compute_importances parameter
new f229d38 What's new
new c11f943 FIX docstring deletions
new 72cce35 ADD test coverage for _check_stop_list
new 357db85 FIX comment typo
new 789d1d3 ADD test cases to fill out VectorizerMixin coverage
new 9a012e8 ADD another VectorizerMixin test
new f259bf4 ADD test for get_feature_names
new 96f79fd ADD test for tfidf fit with incompatible n_features
new 9a5c70c ADD test for TfidfVectorizer attribute setters
new 6bd1c75 ENH: Remove compute_importances in AdaBoost
new 5c3dc9a ENH: Update feature_importances in GBRT
new 12c9262 ENH: remove "mse" method and simplify
new 3963311 COSMIT
new 7130c99 DOC: feature importances
new a54809e Merge pull request #1657 from glouppe/feature-importances
new b3e6751 MV Mixin tests to CountVectorizer tests
new 0520ecc RM CV import
new c8e8614 MV _check_stop_list tests to CV get_stop_words
new 0e97a7f Merge pull request #1660 from rlmv/fe_tests
new 2c44dd6 DOC: add balance_weights to reference
new 0b2f92d EXAMPLE: compute_importances=True is no longer required (1)
new 46f4e91 EXAMPLE: compute_importances=True is no longer required (2)
new 4fb6c88 DOC: narrative documentation on feature importances
new 2297306 COSMIT pep8
new 9f1c346 FIX: variable naming inconsistency in NMF
new 4a76b06 ENH: precompute X_argsorted when possible
new ec49cba DOC: X_argsorted
new ce1bc1b Flake8
new 1967a0b P3K use six to have a python 2 & 3 compatible code base
new 0fe516e P3K StringIO vs BytesIO
new 1c0d422 DOC fix failing doctest due to unicode_literals
new b445537 Cosmit: more explicit xlabel.
new 135636e Cosmit: more explicit label.
new 759e6fa ENH: use isinstance instead
new b126421 Merge pull request #1668 from glouppe/adaboost-tree
new 4c60052 DOC whitespace in doctest
new c809368 BUG revert P3K changes that broke mldata tests
new 041abe3 rm gender classification example
new b99dbab ENH get rid of imports in test_common by checking by names, not classes.
new a3b55f4 ENH fix test_estimators_overwrite_params to also test regressors and transformers. Then fix all the regressors and transformers ... meh!
new 6920295 ENH set the random state to avoid heisenfailures
new 7d57b9e COSMIT pep8, removing unused imports
new 85ec0fd P3K death to the print statement
new c481ff8 P3K fix broken doctest and add forgotten print_function import
new cc401c9 DOC no more need for compute_importances in trees
new 9f6c8bb DOC copyedit FeatureHasher narrative
new 16e595a ENH move covtype loading to sklearn.datasets
new 81428f7 TST covertype loader
new f63cdbb BUG: update joblib to 0.7.0d
new 50dbadb DOC copyedit FeatureHasher narrative further
new 5419878 P3K range vs. xrange
new 645216f Merge pull request #1524 from amueller/break_ovo_ties
new d949425 chi2 and additive_chi2 raise error if input are sparse matrices
new f01c506 Added same for additive_chi2_kernel
new 0f39df7 Fixed pep8 issues
new 829d3fc pairwise_distance_functions renamed to PAIRWISE_DISTANCE_FUNCTIONS
new bec1226 Made more changes renamed pairwise_kernel_functions, kernel_params to allcaps
new 0ca0e15 DOC pretty math in kernel docstrings
new 1c60618 BUG MinMaxScaler missing from preprocessing.__all__
new c0d1d88 FIX remove dtype from covertype, add fetch_covtype to init, add missing docstrings.
new 60b3181 Only reassign centers if to_reassign.sum() > 1
new a58ac8c TST: add a test for empty reassignment in MBKmeans
new 86ab060 Added test for fit_transform(X)==fit(X).transform(X)
new 3cc8158 Fixed pep8 issues
new 0edc94b BUG: highly-degenerate roc curves
new d821417 BUG: fix change of behavior in last commit
new d51fa05 DOC: add example and ref to lars_path in lasso_path
new 42c7496 Merge branch 'master' into gbrt-deviance-fix
new a7c6b06 BUG in KernelPCA: wrong default value for gamma
new ab92433 Merge pull request #1688 from hrishikeshio/fit_transform
new 5cfd45e FIX doctest kernelpca
new 7dd1ade ENH speed up RBFSampler by ~10%
new 2d63eb2 BUG oops, removed validation by accident
new 070528b added patch changeset_0edc94b528b630eae63f3409c4c4d95a2e6184a4.diff to "cherry-pick" 0edc94b528b630eae63f3409c4c4d95a2e6184a4 (BUG: highly-degenerate roc curves)
new b46daf4 added patch changeset_d821417ebf7570397a344a8d670045cd2d2e590a.diff to "cherry-pick" d821417ebf7570397a344a8d670045cd2d2e590a (BUG: fix change of behavior in last commit)
new 2a47d8d Merge branch 'master' into gbrt-deviance-fix
new 2aef122 changelog for 0.13-2
new 186858e ENH get rid of most imports in test_common
new 5e3230c TST stronger tests for arbitrary classes. make explicit what works and what doesn't.
new 2353796 WEB rm survey bar
new 6aabf3b DOC typo: Pereptron -> Perceptron.
new 9f39791 BUG move label_ from BaseLibSVM to BaseSVC
new 1dc8526 COSMIT decouple regression and classification in SVMs
new 66e7482 DOC: typo in warning
new cc4b85d DOC: small fix in the regression's score method documentation
new 664f866 changed wording in linear model docs about Normalized. It was frustrating me haha
new b416113 TST some more tests for multi output lars
new cfef316 BUG: reassignment_ratio == 0 in MiniBatchKmeans
new 5f7460f Minor bug fix in metrics.adjusted_rand_score
new a21f564 COSMIT translate lgamma replacement to C and clean it up
new 197e3c0 BUG: sparse center reassignment MiniBatchKMeans
new 12264a1 DOC fix typo in LinearSVC error message
new d4d8d66 DOC: reference for discretise option
new 6441e6e DOC update SMART notation in TfidfTransformer docs
new b12ee6e DOC: make distinction between evaluation and pairwise metrics.
new f0f953b FIX make error message work when return_path=False
new 944a7ef TST fix random states in all dict learning tests, make test independent of test sequence.
new e14543c DOC add return values of cross_val_score and train_test_split to docstrings.
new 5f7e81d COSMIT :: in rst is easier for syntax highlighters
new 204ff55 ENH refactor univariate feature selection
new 1f1f385 raise ValueError for unfitted idf vector
new f2333e4 FIX docstring deletions
new ff78bf9 ADD test coverage for _check_stop_list
new 096610e FIX comment typo
new 446e675 TST improve feature_extraction.text coverage
new 2fd0147 DOC: add balance_weights to reference
new 9d49b6d FIX: variable naming inconsistency in NMF
new c59b2f6 ENH get rid of imports in test_common by checking by names, not classes.
new 5b9a65e DOC copyedit FeatureHasher narrative
new bff549f ENH move covtype loading to sklearn.datasets
new 437644e BUG: update joblib to 0.7.0d
new 7379aae ENH break ties in OvO using scores
new 0757503 chi2 and additive_chi2 raise error if input are sparse matrices
new 34ef825 DOC pretty math in kernel docstrings
new 6c2b64d BUG MinMaxScaler missing from preprocessing.__all__
new b52269f BUG MBKmeans only reassign centers if to_reassign.sum() > 1
new 84eaed3 BUG: highly-degenerate roc curves
new 5cde50c DOC: add example and ref to lars_path in lasso_path
new c656b10 BUG fix broken grid search example
new a6b3d24 BUG fix broken grid search example
new f4bd2ca fix: map labels to {0, 1}
new 2da9f01 fix: deviance computation in BinomialDeviance was wrong (ignored cases where y == 0) - thanks to ChrisBeaumont for reporting this issue
new 4064301 raise ValueError if division through zero in LogOddsEstimator
new 4a9ecf0 BUG in KernelPCA: wrong default value for gamma
new 91c9fab TST fit_transform(X)==fit(X).transform(X)
new aefa925 ENH speed up RBFSampler by ~10%
new 0adb851 ENH fix test_estimators_overwrite_params to test regressors and transformers
new 4194ffc COSMIT update mailmap
new 1746100 COSMIT update mailmap
new a7e1231 BUG: Build random forests the same way regardless of n_jobs and add a test for this. Don't predict in parallel since the cost of copying memory in joblib outweighs the speedups for random forests. Fixes #1685.
new 61447db COSMIT: Fix up a loop.
new 274d10a COSMIT: Better assert.
new 704ee89 DOC: Update new magic numbers in docs since random forests train differently now.
new 9c30c92 FIX: sklearn.ensemble.forest: Refactor to remove references to parallelism in predict() functions.
new 60374ee Added test_regressor_pickle to tests.
new 2ba21ec Added test_classifiers_pickle to tests.
new 940b516 Finished adding pickle tests.
new e681ec5 Removed the use of StringIO, using pickle.dumps instead.
new 17bd1ed FIX rebasing trouble in common tests: the meaning of dont_test changed
new 1d958b2 FIX don't compare strings with "is". that is really not robust!
new 94318a8 ENH in transformer pickle test, only test transformers that provide a 'transform' method. and only test that.
new 6d9935b ENH in common tests, use long variable names for all tests
new db6494c FIX remove all unseeded random variables from common tests.
new e109175 COSMIT: fix excessive indentation.
new 51da03a Merge pull request #1695 from mrjbq7/issue-1694
new 544e949 BUG: Fix performance regression on large datasets in random forest. The crossover point seems to be around 5k rows. To get a fast predict time on fewer than 5k rows, set n_jobs to 1 after fit and before predict. Alternatives would be to split n_jobs into two parameters, for fit and predict, or to have a complicated heuristic based on n_estimators, n_samples, n_features, tree depth, etc.
new edb7592 DOC: Emphasize that n_jobs is for fit and predict methods in random forests.
new 7c05c24 Merge pull request #1700 from erg/rf
new e6c85a3 decision_function forces dense output (in the case of sparse coef_)
new ff937b4 FIX: use DOUBLE_t type
new ace0d6a Merge pull request #1705 from glouppe/tree-fix
new c9877e9 COSMIT pep8: blank line contains whitespace
new 73d3d3f DOC added sentence about oob_decision_function_ containing NaN to docstring. Still need some narrative about oob score.
new 6bf4c90 ENH sparsify method for L1-reg linear models
new dd338b1 BF: explicitly mark train_test_split as not the one for nosetesting
new 9ae3094 TST stronger tests for arbitrary classes. make explicit what works and what doesn't.
new 5a2b047 BUG allow outlier_label=0 in RadiusNeighborClassifier
new 2f2a382 BUG in RadiusNeighborClassifier outlier handling
new 3ff1a15 ENH rewrite radius-NN classifier's outlier handling
new 1befd65 ENH set the random state to avoid heisenfailures
new 6f293a2 COSMIT pep8
new f4bc9a2 DOC some copyediting
new 8075887 REL increased version number, added whatsnew
new 68d378d DOC developer guidelines for unit tests and classes_
new bc33004 DOC add 0.13.1 changelog to whats_new.rst
new 483e0b6 DOC dev guide: random_state_ + @amueller's remarks
new 71d4e42 DOC r2_score may return negative values
new 4d85d16 DOC dev guide: deprecation
new 0bc4c72 ENH: support float value for max_features
new 72a8017 DOC: if float, then max_features is a percentage
new c41ccbb ENH: Defer parameter checking of trees
new 495b6c3 DOC: GBRT max_features
new d8d4ede TEST: added test
new b8f1b13 ENH: use numbers
new d49af04 FIX: numpy integers
new 2adbee6 Merge branch 'sparse-coef'
new 472a1f5 COSMIT callable instead of hasattr __call__
new b9a8e08 BUG update graph_laplacian to upstream SciPy version
new 746c8bd DOC rm failing doctest on graph_laplacian
new f4d4b4c DOC fix text vectorizer docs and add NLTK example
new ec47a6b DOC fix broken doctests for feature_extraction.text
new 018d6ad StratifiedKFold: remove pointless copy of labels
new b099d46 DOC add random_state parameter to docs of LogisticRegression and LinearSVC
new b83f112 TST/FIX set random_state in logistic regression tests
new 2afe4d5 TST/FIX always use "almost equal" for floats.
new 8453dff ENH CountVectorizer using arrays instead of lists
new cc4c3c3 BUG restore empty vocabulary exc in CountVectorizer
new 9c19eb3 ENH prevent copying of indices in CountVectorizer
new 74fb91d DOC credit @ephes
new f150a06 Merge pull request #1713 from larsmans/vectorizer-memory-use
new a2ed7a3 FIX MinMaxScaler bug.
new c24d0e4 COSMIT use callable instead of hasattr
new 192802e Merge pull request #1727 from amueller/min_max_scaler_fix
new 62ba53a FIX : fix kfold balance due to int rounding
new b8d23fa FIX : test due to KFold change
new 1098c3c FIX : better fix of KFold balance
new adb85bb fix doctest
new 1920b88 Removed an unnecessary if statement in KFold __iter__ method.
new 470e01c Improved the test that checks the balance of sizes of folds returned by KFold.
new 7394c1c DOC Corrected the docstring of KFold about the sizes of the folds.
new a8b4712 TST : improve test_kfold_balance test
new 5d9ce74 update what's new
new 5bcf25f ENH multilabel metrics: accuracy, Hamming, 0-1 loss
new 2d5ae28 BUG broke the what's new while rebasing
new 2797aae TST : improve again test_kfold_balance test
new 5058fac Merge pull request #1726 from agramfort/round_kfold
new 8ab798b DOC FIX foating point issue
new f7cf1ed Merge pull request #1730 from arjoly/doc-feature-selection
new db6f005 TST FIX random state for LibLinear sparse tests
new 0c94b55 ENH add randomized hyperparameter optimization
new 57260da DOC fixed links in whatsnew
new 3bf53c8 Ball Tree, KD Tree, and tests
new 268ea8e PEP8
new 845fc5d Merge pull request #1712 from glouppe/tree-maxfeatures
new 4229707 What's new: float values support for max_features
new cd998e2 What's new: fix indentation
new bde8b7a Update coordinate_descent.py
new bb9d11e Fix tests for scipy <= 0.9
new 523ec76 Merge pull request #1736 from jamestwebber/patch-1
new 3d45191 ENH set min_df in fe.text back to 1
new 4690743 DOC improve mini-batch k-means narrative
new 5a8114d COSMIT Moved the test_roc_curve_one_label test where other ROC curve tests are.
new fcad90d Merge pull request #1740 from tjanez/move_roc_curve_test
new e42e530 COSMIT pep8
new 48ed945 DOC FIX links on grid search narrative
new 2006e27 FIX numpy 1.3 issues with multilabel metrics
new 50e22dd Update load_svmlight_file docstring.
new 4376f73 Merge pull request #1741 from arjoly/metrics-fix-np-1.3
new 6bf90fe TST compute_class_weight in utils
new dc2c5c4 FIX + TST + DOC compute_class_weight
new 9633d9d ENH use bincount in compute_class_weight
new f39d86a BUG use fixes.unique
new ffad26a FIX compute_class_weight edge case
new 2b6532c BUG in SVM tests
new da1ce26 FIX make_classification now outputs integer labels
new 88b1ba5 DOC formatting (k_means)
new 29ed168 BUG fix compute_class_weights issue in SGD
new 0702cc6 Merge pull request #1753 from NelleV/FIX
new 2cb8b5e P3K some more fixes in random places
new 6c609f6 DOC OpenBLAS is more dangerous than I thought
new 8af659f DOC oops, typo
new 12d48d0 FIX KFold should return the same result when indices=True and when indices=False.
new e1789e2 ENH Function auc_score should throw an error when y_true doesn't contain two unique class values.
new 4964474 changed warnings in grid_search.py related to loss_func and score_func being passed
new d238e40 speed up KD tree construction by ~25%
new 9fa27c8 add author & license information to pyx files
new 7975ccb COSMIT get rid of undocumented attributes on SVMs
new 41ae851 PEP8 and allow non-bool truth values in CD
new 4610103 BUG + ENH: removal of components in kernel PCA
new cc37fd6 Merge pull request #1758 from larsmans/kernelpca-fix
new 21ba76d DOC some sphinx / rst fixes
new edd1555 MISC minor fixes in examples
new 01a745e DOC FIX column span alignment problem in NMF ^^
new 09f2d90 P3K make feature_extraction.text work
new e4ee70d ENH - 3x speedup in the isotonic regression
new 30ccbd1 Fix comment: returns fbeta_score, not f1_score
new ce72c0b BUG failing doctest
new bb7da14 COSMIT typo
new 32325eb DOC IsotonicRegression wasn't in the changelog at all
new 19591be P3K all of feature_extraction passes tests on Py2 and 3
new d2254e4 DOC clarify column ordering in SVC scores
new a360542 DOC fixing some more rst / sphinx errors :-/
new 3bb86ab DOC more sphinx stuff.
new cacf6f9 FIX: X was converted twice.
new 8ee4513 COSMIT DictVectorizer.inverse_transform readability
new 9e44e3a fix the kwarg name
new 444bfd2 updated the .c file
new 992e982 remade the cython with 0.18
new 0053aa5 Merge pull request #1767 from rmcgibbo/balltree_docstring
new b4b3b1b DOC CountVectorizer does NOT do stopword filtering by default
new b80f6a8 ENH allow SelectKBest to select all features in a parameter search
new 968b337 ENH don't recompute distances in MBKMeans
new b37791b ENH cut MiniBatchKMeans memory usage in half for large n_clusters
new bb6c7b1 DOC installation instructions: MacPorts, fix types, stdeb instructions
new 35d4417 DOC Allowing a list of param_grids means GridSearchCV is more than grids
new 5edfce0 DOC clarify relationship between pos_label and average parameters for PRF family
new 804bf9e Merge pull request #1772 from jnothman/comment_exhaustive_search
new cb73742 Merge pull request #1773 from jnothman/prf_docstring
new 91d9dc9 BUG StandardScaler would ignore with_std for CSR input
new 21d1e39 DOC add roll your own estimator docs
new 68de819 TYPO fix
new b1f5c0e bring text classification somewhat closer to current API
new 7997993 FIX for iid weighting in grid-search
new 65d1ef5 DOC FIX finite precision
new 0fe17b2 typo
new d61f36c Clarify docstring in lars_path
new f95dfe7 BUG SGDClassifier and friends did not forget labels_ in re-fit
new d96a3c2 ENH optimizations in sklearn.cross_validation
new fd90edc DOC clarify C parameter on LogisticRegression
new 44d31cb TST + DOC + COSMIT refactor ParameterGrid and test it
new b36d221 ENH len on ParameterGrid and ParameterSampler
new d6e96dd BUG deprecation of grid_scores_ in GridSearchCV
new f8aacaf BUG always do cross-validation in GridSearchCV
new 264a1f6 DOC fix clone and get_params documentation
new 09abb18 TST grid search/randomized search on non-BaseEstimator
new a768b16 TST actual sparse input in sparse k-NN tests
new cdb9ef2 COSMIT prevent a copy in randomized LR
new ec0fc91 TST speed up comment tests by ~20%
new 2909234 TST radius-neighbors regression test not entirely stable
new 5b31612 BUG additive_chi2 missing in KERNEL_PARAMS
new 66eb410 BUG + DOC fix Nystroem for other kernels than RBF
new 5f6c0db TST added test of fit and transform for kernels for nystroem
new 1228490 example title change
new 0016ea0 gallery effects,icon change,cleanups
new a71f616 typo fix and heading changes
new b0baab6 fix indentation error-cause lots of build warnings
new 071d08d 4 thumbs per row/hover effect/some cleanup
new 3b8d2ec fix for iris dataset
new 6dedeba line_count sort added, some changes reverted
new 6625317 move comment out of list
new c2bebbc remove comment, undo change
new b41eae2 COSMIT rm repetitive __main__ blocks from tests
new ae70008 ENH allow additional kernels on KernelPCA
new 1f6701b TST fix broken doctest
new fc804b8 add median of 3 pivoting to quicksort
new cbd3e5e P3K developer docs
new 0cd16d1 PY3: Disable lib2to3
new 3379504 PY3: fix urlopen in mldata and california housing loaders
new 71d1a7c PY3: used six.u to fix unicode variables in svmlight
new 6d9ab96 PY3: fixed basestring in crossvalidation.py
new 4d326b2 PY3: six.moves.cStringIO to fix StringIO import
new 5993ef5 PY3: use b() convenience function for string literals
new 5a5268b PY3: fix remaining cStringIO imports
new 2c9a815 PY3: ensuring file stream is read as binary
new 9e93ba5 PY3: fix None comparison (when not in OS X) in test_k_means.py
new a81df3b PY3: fix for string literals in datasets' test_base.py
new 155c6ea PY3: print function in coordinate descent doctest
new 095085a PY3: used six.moves.xrange to fix xrange
new 63562b0 PY3: replaced izip
new 966e0f1 PY3: convert string literal to bytes using six in cython file
new 7da46e0 PY3: used six.iteritems to fix dict iteritems in module pipeline.py
new 48cbd5e replacing numpy array with range for use in random.sample
new 4d1d8b9 PY3: changing None to 0 to ensure comparability in py3
new 461b585 PY3 fixing utf8 comments in svm through try/except and six.b
new 177b26b PY3: forcing execution of map by using tosequence
new 090ad85 PY3 fix comparison of ndarray and string
new 58b96aa DOC FIX: multi-target linear model attribute shapes
new 5cc8032 ENH add normalize option to accuracy_score + FIX bug with 1d array
new e3dac0d PY3 array.array wants str in Python 2.x and 3.x - give it a str
new 154007b fixing bug in linear_model.SGDClassifier for multi-class warm start
new 9b66038 removing accidental space
new b556759 Merge branch 'pr/1790' -- Python 3 support from PyCon sprint
new 3579a87 PY3: record is a kwarg argument for warnings.catch_warnings
new 0863d3d PY3: long is no longer a type in Python 3
new b75f2f5 add pydist code
new 8d5d40e fix binary tree sort bug
new 473c716 add pydist: user-defined metric
new 176063a Update outdated comments in sklearn.hmm.
new 6d10280 Merge pull request #1803 from kmike/hmm
new 4f9a073 DOC update example path
new 01fce76 add haversine distance
new b470370 add exception passing to C functions
new 1faff8b rename dist conversion funcs
new d9023c7 Merge pull request #1804 from AlexanderFabisch/fix_example_path
new fcf69bd Cosmit: remove needless blank lines.
new bf0c1a3 Merge branch 'master' into pr/1798
new dbf1e54 rename example title
new 79ea5fb PY3: fix exception syntax in tests/test_common.py
new 7bad6ae PY3 fix test_cross_validation
new 2af2c73 PY3 fix OneHotEncoder doctest ( "<type 'float'>" is "<class 'float'>" in Python 3.x)
new 6d47ec0 Merge pull request #1812 from kmike/testing-fixes
new 99f88db make setup.py executable
new cb7ba3a Merge pull request #1816 from ndawe/master
new b1a97de DOC describe SVM probability calibration (and advise against it)
new 5eb035c DOC further comments on SVM probabilities
new 0180188 ENH multiclass probability estimates for SGDClassifier
new b796520 BUG digits grid search was passing cv to the wrong method
new 87dcc8b DOC typos in grid search docstrings
new bc67dbf ENH Added custom kernels to SpectralClustering
new 46292a1 PY3 + TST decouple test_metrics from random module
new 6a47c6f BUG: Use Py_ssize_t to index into numpy arrays to help Python handle big data. Indent a few copy/pasted function declarations for consistency. Fixes #1466.
new 4db660e MISC: Update _tree.c with cython.
new 0f1950c BUG: Use ``Py_ssize_t`` in a few more places for strides. Add the c file again.
new 83f67ee ENH/FIX make best_estimator_'s predict functions available in parameter search
new 364db7a FIX make *SearchCV picklable
new a1d4d18 COSMIT pep8
new 2dd99c0 DOC fix macports package name
new c87d45d Merge pull request #1823 from erg/issue-1466
new 972e7cf BUG: ElasticNectCV choosing improper l1_ratio
new df74a8a PY3 allow multiple base classes in six.with_metaclass
new eae18a3 PY3 fix metaclasses. See #1829.
new 307afc8 DOC correct / simplify dbscan examle
new 1201376 Merge pull request #1839 from amueller/dbscan_example
new 382f74c Merge pull request #1836 from kmike/master
new af674ac get rid of ``rho`` in sgd documentation - has been replaced by ``l1_ratio``
new 5ece0e1 Cosmit: more idiomatic way of clipping to zero.
new d3bc5ac Demystify magic values in NNLS implementation.
new 8a473b6 BUG: fix replacement for _neg.
new 6f8da5c Fix random state where appropriate.
new 9cf9e9f Fixx doctest.
new f21f64a DOC: document attributes fitted by DictVectorizer.
new 67ece78 COSMIT various typofixes
new 2ad3448 Merge pull request #1852 from slattarini/typofixes
new 5d90520 ENH: minor changes for numpy versions
new 3c501ec COSMIT typo. the French again ;)
new aff7089 FIX setting k in KMeans and MiniBatchKMeans was silently ignored. Left over in 07c56d7cd2ddfe71e7a4399d74fc367d6000d854 Damn, that was nasty :-/
new 0d756f9 FIX Moved copying of labels in LeaveOneLabelOut and LeavePLabelOut to __init__.
new 0372c20 TST Added test that checks if LeaveOneLabelOut and LeavePLabelOut work normally if the labels variable is changed before calling __iter__.
new bf3f601 DOC Fixed doc test to work with the fixed versions of LeaveOneLabelOut and LeavePLabelOut.
new 9b1aabc pep8
new 79190e2 BUG Add lambda_ attribute to ARDRegression after fit
new ff0e882 ENH reduce size of files produced by dump_svmlight_file
new e084727 ENH: moved export_graphviz to sklearn/tree/export.py
new 813d1a4 ENH: add max_depth to export_graphviz
new 2b01f3a ENH: output criterion name instead of "error" in export_graphviz
new 919951a ENH speed improvements in HMM
new 164d36f DOC distributions produced by hashing trick depend on input
new 65bdff8 ENH Release GIL when entering LibSVM/Liblinear code
new 81e0091 ENH actually use scikit-learn's PCA class in plot_pca_3d.py
new 223f2e6 Implement correct d-dimensional kernel norms
new ade2db9 DOC Add labels and some explanation to confusion matrix example
new 2f2f102 Switch off survey banner
new fc014c2 newline at end of file
new 456b0d0 Merge pull request #1581 from jaquesgrobler/example_gallery_cleanup
new 8824979 temp disable line-count-sort for gallery while fixing bug
new e1f5f42 DOC multiclass: typo and use case
new 1a6b9e8 DOC: put feature extraction before pre-processing.
new 8e9f452 sort-by-line-count bug fixed
new e019b6b Merge branch 'master' of github.com:scikit-learn/scikit-learn
new dbd3109 Update LIBSVM_CHANGES
new 3444bfb ENH Rewrote CountVectorizer fit_transform to be ~40% faster
new ed52df3 fix numbering for tutorials page
new a85c896 Add test for PatchExtractor (float value for max_patches)
new 1816dee Fix float value support for max_patches in PatchExtractor
new 2611179 add metric mappings to dist_metrics
new 75a7047 binary tree: make valid_metrics a class variable
new 2ecf5e1 dist_metrics: allow callable metric
new 55f409c add chebyshev distance to kd tree
new b72e944 add functionality to NearestNeighbors estimators
new c808ec0 DOC PR means pull request
new a344f10 FIX BytesIO and urllib usage in fetch_olivetti_faces
new 4ea8fa6 Roger-Stanimoto -> Rogers-Tanimoto
new 12f2292 Update hmm.rst
new 9cfb34c Add bit more instruction on writing docs
new b6b0713 big O/tilde add in
new d448a2a removed old complexity info
new 16e682e DOC: remove typo
new 1d3e480 image and html file added
new a999972 link fixes
new 574b9ed add further links
new d6d2a5b last links fixed
new 467c904 jquerys added
new 6115114 FIX gen_rst.py was something using an undefined variable
new e6ed507 intigrated to tutorial index
new 8238a86 update tutorial page
new 8df53e1 make links relative
new 6261c4b rename image/html
new 707887d add instructions for editing Readme, and script needed for that
new a39b547 Merge pull request #1886 from NelleV/DOX_fix
new d562b46 ENH refactor and further speed up CountVectorizer
new d88c38b DOC I didn't mean soft-O by "tilde notation"
new 1e6e337 DOC: libatlas3-base in requirement
new 021f515 remove svg2html script,toctree section added,doc page for ml_map created
new 8ef17f7 Release GIL around sparse liblinear training
new a11abb5 calculate kernel norm only once
new 44f3944 compute kernel norm only once
new 34f7cdc TST: compare gaussian KDE against scipy version
new ed643e1 sidebar added
new cd9cffa layout fixes and top paragraph
new a4071f9 TYPO fix
new 72cce4c ridge regression uses compute_class_weight()
new 3df7309 Re-add deprecated class_weight parameter.
new 1bf52ec removed class_weight parameter from RidgeClassifier.fit()
new ecbb563 Change dual splits to single splits in query_dual
new 29b10e8 stochastic_gradient: fix mistake in _init_t docstring
new 0f00baf stochastic_gradient: describe all losses, fix epsilon description
new 4a98b3d Merge pull request #1893 from dougalsutherland/sgd-docs
new 6a489cc ENH: Avoid computations in ElasticNetCV
new cf0311c ENH: improve memory usage in ElasticNetCV
new 850a8f9 DOC: docstring of private functions
new 3376704 BUG: fix sparse support in ElasticNetCV DOC: fix docstring: sparse matrices are accepted
new 341f6f7 COSMIT: address @agramfort's comments
new 6224c4f DOC describe API, not internals, for AdaBoost
new d0e2281 DOC replace "arithmetical order" in AdaBoost docs
new e5cc09d Added random_state=0 for AdaBoostRegressor
new 10ee464 TST strengthen AdaBoost tests
new 719ca98 FIX SVR complaining about a single class in the input
new 58e8789 COSMIT do np.unique(y) once in SVC
new 11902ae update what`s new
new fcf911c deleted unnecessary thumbnail
new 6a058aa check_pairwise_arrays() preserves dtype==numpy.float32 (squashed)
new f1df9ab Replaced 'for i' with 'for _' at place where i is not used. fix pep8 for weighted_boosting.py
new 465e053 COSMIT pep8
new 6b47d76 DOC improve description of cross validation
new c0f7b89 DOC rewrite description of k-fold CV
new c04aec9 DOC: add random_state parameter to StratifiedShuffleSplit doc string
new f7ad2bc Merge pull request #1907 from aflaxman/stratified_shuffle_split_rand_state_doc_str
new 0225c36 ENH speed up TfidfTransformer using spdiags
new e9a1410 mailmap entry for @lqdc
new 05a7766 resized image
new 64e9290 REFACTOR combine train_wrap and csr_train_wrap
new 8615aba Added sponsors to the about.rst page
new bdc410b Spelling mistake
new fd052ff DOC add 2012 GSOC students
new cff20f6 DOC define validation before cross validation
new f924d3e COSMIT: labels in plot_lasso_coordinate_descent_path
new dacfd8b DOC: Replaced all BSD style licenses with "BSD 3 clause"
new c8a5574 DOC typos in cross-validation description
new 4b6a13d Extended test_confusion_matrix_binary to incorporate non-integer labels
new 5b185f5 Extended test_confusion_matrix_multiclass to incorporate non-integer labels
new c15f141 BUG: Fix for non-integer datatypes in confusion_matrix
new c33c04b ENH: faster preallocation and integer type for the accumulators
new ddaa494 clean up mailmap/deduplicate contributors
new 0859653 FIX: use the mldata mock in docstring as well
new 5d51e42 STY: one-lined lines that where less than 79
new a5b978c Merge pull request #1913 from Jim-Holmstroem/refactored_precision_recall_fscore_support_to_count_with_integer_type
new 922df5a Add SVD-based solver to ridge regression.
new 9c84263 Remove unnecessary code in ridge svd
new 68d0bc5 disable sidebar using cookies to remember last position
new daf5277 BUG disable memory-blowing SVD for sparse input in RidgeCV
new a8fe355 BUG: solver was not passed to computational method in Ridge object
new 34022b5 FIX scores calculation in ovo multiclass
new 2ffb484 COSMIT pep8
new 83ed57d FIX jenkins error on numpy 1.3.0
new 7fff871 Merge pull request #1884 from jaquesgrobler/ml_map
new 1dc2a26 DOC documented n_init parameter of MiniBatchKMeans. Closes #1900.
new fb89031 FIX broken scorer, add non-regression test.
new e9a9592 FIX WARN about **params being not used in GridSearchCV.fit. Closes #1815.
new e163f8b FIX DictVectorizer behavior on empty X and empty samples
new e4b9fd2 FIX bug in callable kernel decision function - Sorry, I think that was me.
new b2082b5 DOC added link to scipy lecture notes to tuts
new e94b774 FIX: restore numpy 1.3.0 compat with np.divide fix
new 8582a7a MAINT: let the result type be infered by coo_matrix, possible since np.ones already integer typed
new 8c7b900 FIX test error in test common for KernelPCA that doesn't respect its n_components.
new 26a86bd DOC return_path argument, prettier references
new ff884e0 Merge pull request #1924 from jaquesgrobler/FIX_sidebar_on_index_page
new 0a2dc13 Merge pull request #1911 from Jim-Holmstroem/generalize_label_type_for_confusion_matrix
new ff69cc5 ENH more pythonic way to treat list of list of labels
new be842f2 ENH add jaccard similarity score metrics
new 1c9a6c9 COSMIT: txt -> rst
new c80ca91 FIX compatibility issue with np 1.3 py 2.6
new 7af4fd9 ENH call asarray on returned scores and pvalues
new 40cf5c9 TST ensure SelectKBest and SelectPercentile scores are best
new 0480a66 FIX ensure SelectPercentile only removes tied features in case of ties
new 313193f ENH _BaseFilter.inverse_transform should respect dtype
new 14f22a9 DOC Fix comment for _BaseFilter.inverse_transform
new 4fd975c ENH sparse _BaseFilter.inverse_transform
new 35b4045 FIXTST fix errors introduced to feature selection tests
new 1b07773 DOC comment feature selection sparse inverse_transform
new a9b93a2 DOC: latex beautification
new 9663654 DOC: latex beautification
new a7e5eb9 DOC: cosmit - fix latex typo
new 84b2326 Merge pull request #1944 from jnothman/selectpercentile_limit_bug
new 2b57e4e Merge pull request #1935 from jnothman/base_filter_inv_transform
new 489d294 ENH Feature selection should use CSC matrices
new aaaa95c COSMIT Remove redundant code in CountVectorizer
new 5d8a4d9 TST test CountVectorizer.stop_words_ value
new 735a814 Use Cholesky solver by default, but use SVD as fallback
new 65b1924 fixed typo
new 0fc812b COSMIT: better notation in CountVectorizer.
new dc38e6b COSMIT: same changes in transform method.
new dcebf9e COSMIT: more robust condition in inverse_transform.
new 9589e04 FIX typo in test for RdigeCV
new 235ee25 ENH Use csr_matrix.sum_duplicates instead of tocoo
new 0cf8e3d Use ValueError for non-existant solvers
new 64760f2 Import gzip and bz2 only if necessary.
new 84ceb74 DOC typo in RandomizedSearchCV docstring
new d0f9cab DOC small typographical fixes in grid_search documentation
new 8e9719d COSMIT refactor roc_curve and precision_recall_curve
new 6736a21 FIX bug where hinge_loss(..., neg_label=1) produced incorrect results
new cb701b0 MAINT: refactored metrics.auc to use np.trapz
new d6e9598 Merge pull request #1880 from NicolasTr/patch_extractor_float_max_patches
new 928541c Fixed precompute issue (again) in ElasticNet and enet_path
new 8c71062 Fix setup.py to resolve numpy requirement during pre-install. This should allow 'pip install numpy cython scipy scikit-learn' to install scikit.
new 4e2bb00 ENH: add pre_dispatch option to cross_val_score
new 890b11a DOC Fix estimator unsupervised fit method signature
new 962e2e1 maintenance scripts added for machine learning maps - needed for modifying the map in future
new 07c8bf7 WMinkowskiDistance corrections to error messages and docstring improvement
new d78f43a Merge pull request #7 from jhale/new_ball_tree
new 8e79203 DOC rename lambda to alpha in plot_lasso_coordinate_descent_path. (Re)-Closes #903.
new f3107ad DOC clarification of parameter search
new 7c16dad initial commit
new ae7adc8 AdaBoost: use estimator weights in predict_proba
new ac38016 TST + DOC AdaBoostClassifier.predict_proba fix
new 91111d8 COSMIT refactor AdaBoost code
new b0f1d46 DOC fetch_20newsgroups returns the text, not text files. see SO question: http://stackoverflow.com/questions/16615523/using-scikits-kmeans-to-cluster-ones-own-documents
new 76bb083 DOC Fixed documentation of kernel parameters: sigm uses gamma, but not degree. Closes #1972.
new d33634d ENH add multilabel support to PRF metric family
new 096c8a0 DOC fix typos
new 3483cf5 COSMIT shorten long line for pep8
new 9e4518b Upload to unstable, move joblib to Depends from Recommends (Closes: #709056)
new f180328 ignore PDFs
new 9a64bc1 DOC move old tutorial out of the way for merge
new fda420e Merge branch 'tutorial'
new 9a8845e ENH Create FeatureSelectionMixin for shared [inverse_]transform code
new 7ebfd57 DOC rewrite descriptions of P/R/F averages and define support
new bb6e65f DOC/COSMIT fix typos in What's New
new 5b0afce DOC add some contributions to What's New
new 8668d02 BUG: set random state in LogisticRegression
new 27cae1a DOC clarification in Scoring objects: Its not a good sign if I don't understand my own wording.
new 89f29ba DOC Fix references to missing examples
new 901e9d7 fix incorrect reference
new b84eb30 Merge pull request #1986 from jaquesgrobler/DOC_reference_fixes
new 331738f remove placehoder
new d8da862 Merge branch 'tutorial' into DOC_olivier_tut
new 89ba448 remove duplicates for merging larsmans branch
new d69566c initial tutorial re-added with it`s commit history
new 820aab5 Placeholder to tutorials page
new b647705 TST Use assert_almost_equal in test_symmetry
new a13437f COSMIT prefer partial over lambda in test_metrics
new 4b5ae71 TSTFIX use name, not metric, in test_metrics error messages
new dafc663 DOC correct note on handling 0-denominator in P/R/F
new 623d52a add optional banner to index page to advertise code sprints
new 40adb7a link updated
new 531b2d8 Changed the setup instructions in the README to properly install the package in the user home.
new 9eec732 Merge pull request #1998 from kgeis/fix-setup-instruction
new b7e9ee6 Merge pull request #1996 from jaquesgrobler/DOC_sprint_sponser_banner
new 752e9aa added first version of out-of-core example
new 161d19b ENH: avoid MemoryError on manhattan_distances
new c649440 BUG: old versions of numpy
new 6204ed4 BUG: old versions of numpy
new 3931951 Corrected a few things on the Mutual Information doc pages.
new c3cac4b moved tutorial out of tutorial folder
new f2e065d tutorial index initial touchups
new 402f53e TST Fixed test_pipeline_methods_preprocessing_svm: pca was unused
new 7b46a4f revision round #1 (move to examples/applications, 1 file, auto-download dataset)
new 8f85b0f Merge pull request #2005 from kmike/test_pipeline_methods_preprocessing_svm
new 85811ce Fixed typo in metrics.py
new ecf135a ENH faster unique_labels for big sequences of sequences
new 38c31d4 Fix L2 regularization order in sgd_fast
new b0449b6 DOC explain labels parameter to confusion_matrix
new 724652e corrected doctests after moving L2 penalty application in SGD
new c0abef1 hover removed from nature, jquery more recent version, containerexpansion on mouseover add
new de7c758 image resizing added
new 884306c Zoom bug fixed
new c068493 added docstring space to popup block
new 15c8a5e docstrings embedded into example hovers
new 194fa35 ENH speed up sklearn.feature_selection.chi2
new 6c7d0ba Merge remote-tracking branch 'upstream/master' into pr/2016
new 7840620 added SGD L2 fix to whatsnew
new f1dee6e fix: add missing str formatting operator
new 4d4a288 Final visual effects added to hovering
new c417837 Nelle`s review fixes addressed
new 01c4705 Cross browser shadows covered
new b036dbc remove forgotten print
new a196462 DOC dependency installation with yum (Red Hat, CentOS)
new b486875 FIX bug (swapped args) in chi2
new 1bee1b8 Merge tag '0.13.1' into releases
new 9ad265e Merge branch 'releases' into dfsg
new bce5737 Merge commit '0.13.1-178-g9ad265e' into debian
new efba14e "Fresh" bugfix release: dropping all cherry picked changesets
new bc2acb5 FIX yet another chi2 bug
new eb755db ENH remove pos_label argument with multilabel binary indicator format
new 71f3f38 ENH remove warnings at testing time
new 4a4c2cf Documentation ERROR: mixture.DPGMM.precs_
new de560bf Move balance_weights out of preprocessing.
new 71db3d4 Add categorical_features option to OneHotEncoder.
new 4c4f1cf Minimal spanning tree backported from scipy 0.13
new 8ad6b7b Added test
new 67cdef8 Moved mst to a subfolder and added a README file
new 81ad2a7 Added new files (from previous commit)
new e8d3460 Support both masks and arrays of indices.
new aff9276 shorten displayed dosctring to 95 chars
new 6e2aee2 Typo.
new ff8c77c DOC Detail on parent-child relationship in tree
new a24a29d Merge pull request #2031 from jnothman/tree_comments
new 017afab Rename _apply_transform to _transform_selected and make it a function rather than a method.
new fe03357 FIX #2032, FIX #2033: ensure module names consistency with __all__
new 82323a3 Remove redundant test that was checked in by mistake
new b9d14f9 fix white space inconsistency between header and docstring
new 9ad829b Merge pull request #1914 from fabianp/ridge_svd
new 6fc3499 example docstring fixes
new c453118 logistic regresion example fix
new 4b15cb5 Tutorial Setup
new fd3bd2d FIX/COSMIT helper to identify target types
new 210cefa FIX cannot use set notation for Py2.6
new 785c596 FIX need explicit dtype for array of sequences in numpy 1.3
new 65805de COSMIT remove redundant target size check
new 1b3b0c2 FIX numpy 1.3 has no float16; use float32
new 48a87b5 FIX/TST np.squeeze in numpy1.3 fails with array of sequences
new bf15dcf FIX numpy 1.3 throws error with array of arrays
new 5d7aaae FIX inconsistent cv_scores_ generation for randomized search and re-add example
new c012d4f FIX use Python 2.6-compatible str.format
new 9d9ea41 pep8 / pep257 compliant formating
new e2b46c4 get rif of feature dicts, leverage HashingVectorizer class directly
new a8ed40e plot as both a function of time and n_examples
new ecd7792 using print() function
new ddd0560 improve explanations on out-of-core learning paradigm
new 9dec5b8 improve explanations on example structure
new 5fe68bc fixed use of docstrings + added section in whats_new.rst + added data dir to .gitignore
new c6d6558 more robust data location
new 5afc1c9 COSMIT refactor cross-validation strategies
new 9f17401 Include LeavePLabelOut in refactoring
new 721be7f A further refactor
new ce74daf COSMIT Base class for KFold/StratifiedKFold validation
new 2278764 COSMIT make BaseKFold abstract
new 8b761b8 COSMIT pep8 in cross_val_score
new de18f40 COSMIT Base class for [Stratified]ShuffleSplit
new ab03f01 DOC clarify LeavePOut's combinatoric explosion
new 524e5ad DOC similar note in narrative docs
new 246938f DOC More explicit note
new b06f08f use same, separate held-out data to estimate accuracy after each mini-batch
new cb91680 Merge pull request #2056 from jnothman/leavepout_clarify
new cacb14e ENH add latent semantic analysis/sparse truncated SVD
new 5ab4b4e ENH use rnd SVD in TruncatedSVD by default for speed
new 34815a3 COSMIT omit unused parameter/return value in svd_flip
new 8202df5 TST strengthen TruncatedSVD tests
new 8675dcb DOC + MAINT deprecate RandomizedPCA scipy.sparse support
new a7e0246 FIX and link LSA clustering example
new 52a1002 DOC explain normalization in LSA KMeans example
new df889f8 Merge pull request #1716 from larsmans/truncated-svd
new ebb6367 ENH: Added input checks in confusion_matrix
new f1e9116 DOC fix docstring headings
new a73fd1a ENH: removed leftover condition to get a wider application of the import all consistency check
new 347dc7c added first version of out-of-core example
new 89e6b0d revision round #1 (move to examples/applications, 1 file, auto-download dataset)
new bfa939d pep8 / pep257 compliant formating
new d392666 get rif of feature dicts, leverage HashingVectorizer class directly
new 956aa39 plot as both a function of time and n_examples
new 0853c68 using print() function
new d16aa68 improve explanations on out-of-core learning paradigm
new 775bfc1 improve explanations on example structure
new d8cf157 fixed use of docstrings + added section in whats_new.rst + added data dir to .gitignore
new 9a58f0a more robust data location
new 03e9dbe use same, separate held-out data to estimate accuracy after each mini-batch
new ef872fb FIX metrics/scoring bug with LeaveOneOut CV
new c849b32 MAINT remove deprecated gprime handling from FastICA + refactoring
new 0db0d05 COSMIT make helpers private with underscore
new 2d8842e COSMIT make BaseKFold private with underscore
new ebff9a3 TST additional tests for preprocessing.Binarizer
new 7bc5d1a Merge pull request #2055 from jnothman/cv_refactor
new 1324f45 fixed conflict in whats_new.rst
new d8eaed6 Merge branch 'master' of git://github.com/scikit-learn/scikit-learn into out-of-core-examples
new d63535e factorized instance extraction + plots
new 8ed796e added note on test set creation rationale
new b20accb cosmit : inline extract_instance
new 80e1d27 Enforce n_folds >= 2 for k-fold cross-validation
new fd3a80f Merge pull request #2067 from jnothman/test_binarizer
new febe9be COSMIT add underscore prefixes where forgotten in cross_validation
new 11023d1 Fix wrong argument name in RFECV docstring
new 517ceac Merge pull request #2071 from djv/patch-1
new 1880e22 COSMIT much simpler agglomeration inverse_transform
new 8c42565 TST stronger test for agglomeration transforms
new cd9dbbc Merge branch 'master' of git://github.com/scikit-learn/scikit-learn into out-of-core-examples
new 9dc2b46 more structured iteration using islice + wrappers; renamed chunk for minibatch as the latter seems more common in hte literature
new 24acc5e Merge pull request #2075 from jnothman/agglomeration_simplify
new 4063d9e FIX : use unique from fixes
new 233c7dc enhanced (hopefully) DBScan documentation; killed some whitespace along the way...
new f84e646 Merge remote-tracking branch 'upstream/master' into dbscan-doc-enh
new d0b6433 DOC minor fixes to Ward docstrings
new 2245907 DOC fix docstrings for AgglomerationTransform
new 3d2a44c DOC detail Ward.children_ and fix n_components_ type
new 8d5303c DOC comment on Ward algorithm
new 9abb016 DOC clean pooling_func arg type
new 7ead6c9 Merge pull request #2074 from jnothman/ward_docstring
new 176c9ce DOC no more mention of the Bunch in the narrative docs
new f102bac DOC copy comment describing hierarchical clustering children
new 54540ad Merge pull request #2076 from pprett/dbscan-doc-enh
new e31c4a7 added sub section on out-of-core scaling in the narrative docs
new e89ecd8 FIX don't rely on Bunch behavior with fetch_covtype
new 7063ad2 DOC much more readable formula in chi2 kernel doc
new 3139f1d Remove invalid todo comment
new 9c7817b Merge pull request #2080 from ahojnnes/dist-todo
new aa66b62 Merge pull request #2054 from ogrisel/invalid-n-folds
new 05bfd4d Merge branch 'master' of git://github.com/scikit-learn/scikit-learn into out-of-core-examples
new 5fcc104 some more language corrections
new 77402c2 more pep257 fixes (not for ReuterStreamReader as it is not really the interesting class here)
new d2fe5dc Merge pull request #2004 from oddskool/out-of-core-examples
new c2e025d fix: needs_threshold not plural in repr
new bba4225 DOC fix some docstring/parameter list mismatches
new 558cf06 DOC fix RandomizedPCA docstring for n_components=None
new 0c3ae9c ENH allow empty grid in ParameterGrid
new 006ec19 MAINT ignore kernprof.py reports
new 22e1f69 BUG delete/delete[] error in Liblinear
new 0efd767 DOC fix some docstring/parameter list mismatches
new fe2aad9 DOC ParameterGrid on lists
new a7d34ca Merge pull request #2082 from larsmans/empty-parameter-grid
new 873c6f3 FIX avoid spectral_embedding naming conflict
new 71f7d2c FIX : missing y=None in FactorAnalysis
new 434ca77 Merge pull request #2085 from agramfort/fix_y_score_fa
new 0714468 Add missing doc string printing for examples
new 23c55da Merge pull request #2087 from ahojnnes/examples-print-doc
new 54931e3 renamed weight to sample_weight in sklearn/isotonic.py
new 8f78ab8 Merge pull request #2090 from kanielc/fix_weight
new c540b30 FIX: make doc auto-linking support any Unicode / UTF-8 content
new 6d4914d Make the out-of-core example plot work when launched by the sphinx extension
new 6bf4b8e COSMIT move deprecated parameter to end
new f73fbde firefox bug fixed
new 054fee9 classifiers comparison fix
new 636f793 DOC fix V-measure docstring
new 63df99d FIX: do not print to many messages to stdout when generating the documentation
new 85e4a5f Merge branch 'master' of github.com:scikit-learn/scikit-learn into select_categorical
new eb19f89 Removed pl.axis('tight') and set the plot limits with pl.xlim(), pl.ylim(). pl.axis('tight') appears to be adding whitespace around the colormesh
new 67487b6 add notes on implementation details to binary_tree.pxi
new 7f9b783 remove scipy cKDTree support from neighbors
new 351ca97 add neighbors module changes to whats_new
new 7c4126e Merge pull request #2104 from kastnerkyle/master
new e11873f Address @jnothman's comments.
new 8861833 DOC spellfixes
new d40caea DOC spelling and clarification
new 6feda82 BUG: fix precision issues in kernel_density; remove buggy dual-tree KDE versions
new df98f79 add KDE Estimator class
new cdf6b36 Change 'charse_error' to 'charset_error' in load_files.
new 474d3a0 Revise documentation about handling text and bytes.
new b7b4f93 Add a documentation section about decoding text.
new b9877a7 Move the new "Decoding text files" doc section
new 49bcd9c DOC fix in the hierarchical clustering
new 8043403 Merge pull request #2118 from NelleV/DOC_fix
new 57b2a96 DOC Acknowledge sponsors for the Paris sprint
new fc7aeee DOC missing stuff in randomized_l1 module
new c01ed96 PY3 xrange, np.divide, string.uppsercase, None comparison
new 60d39a2 MAINT dedup Clay Woolam's contribs (>100 commits!)
new d270249 FIX/ENH mean shift clustering
new 35260c1 DOC typo
new 9c162a8 ENH micro-optimize RFECV
new dc28e23 FIX mbkmeans benchmark bug (k instead of n_clusters)
new 7419d2c FIX off-by-one error in neighbors benchmark
new ca2142e ENH lots of benchmarks fixes
new a115e91 COSMIT refactor LibSVM wrapper for safety and readability
new 6fc6d10 add kwargs to PyFuncDistance
new 5423477 DOC fix some broken URLs
new fbdc2a4 PY3: New test for the get_params handling of deprecated attributes.
new a58ceed DOC: Clarify docs on preprocessing.Binarizer.
new ed204ea FIX charset -> encoding in load_files
new 2e812d9 DOC typo
new 78a80ce Revert "FIX charset -> encoding in load_files"
new b70953d FIX verbose output from k-means
new 1327057 FIX remove params from RandomizedSearchCV
new 1556d8a ridge multi target with individual penalties written. To be tested
new 0913d85 old tests passing
new 1efc49a new multiple target tests added, functionality confined to direct usage of ridge_regression function
new 2ca4fb2 Ridge estimator works with individual penalties
new a92ae2d test for ridge estimator
new 388bfa7 ridge doc string
new 066a491 ValueError for wrong shaped input instead of assertion failure, in order for sklearn/tests/test_common.py, line 238 to pass
new 1f45378 docstring in Ridge estimator
new 20b8bc6 added individual penalties function for all other solvers. Tests passing for all of them
new 0f11642 always make alpha into an array
new 92418d6 updated tests
new 9c51438 tests passing
new 4ce2038 removed elaborate testing in ridge.fit, not necessary anymore
new 371dea2 Test exception is raison when number of targets and penalties don't match.
new 547c8f5 Simplify ridge solvers (ongoing work).
new 3c91661 Extract sparse_cg and lsqr solvers.
new 38463c1 Extract dense_cholesky solver (linear case).
new 4d8f5e8 Extract dense_cholesky solver (kernel case).
new 52b972e Clean up.
new d4494a0 Extract SVD-based solver.
new e850ffd Clean ups.
new e83056f Remove copy option.
new e0b26bc Cosmit in docstring.
new 1dba0d3 What's new.
new 5852998 Remove if statement.
new d461db2 simplified _solve_svd
new c09d90f Cosmit.
new b9e94eb Fix failures in grid search.
new 41b1f9a FIX charset -> encoding in load_files
new 436c405 FIX search bug introduced in 1327057f4258f41712ecab5c94770aac5ff01982
new e9b9896 FIX inconsistent attributes shapes in naive Bayes
new 9a452d5 Do not set sample_weights unless need to.
new ebc0634 Add warning when fall back to other solver.
new 61f2310 FIX test failure in naive Bayes
new 7cff2e0 FIX failing doctest for CountVectorizer
new 6e1ca5d Remove unused variable.
new 163a68e Fix failure in svd-based ridge solver w/ old numpy.
new d420aaf TST + PY3 various fixes
new 4fe51ba Merge pull request #2027 from mblondel/select_categorical
new d25f12b FIX copy in OneHotEncoder and _transform_selected
new e0b46f8 DOC: document the new neighbors functions & KDE
new c7c523f undo change to clustering example
new eaac7aa fix conflicts with master
new 7725cde import KernelDensity from neighbors module
new 3be1e6c adjust math formatting in neighbors docs
new 518c289 fix NearestNeighbors to pass common tests
new 60ddef9 add KernelDensity to class list
new cb38853 set random seed in KDE example
new c7dc28b skip KDE test to prevent failure due to older SciPy versions
new 9b5efbc fix typo: SkipTe -> SkipTest
new 7409639 fix doctest in neighbors
new ebdc90e BUG: return proper algorithm in KDE
new 8c1a75e add species KDE example
new bd6cec3 PEP8: neighbors module
new c7548cc DOC: rearrange KDE examples
new 3778bf8 TST: increase test coverage in neighbors module
new 86ed8b7 DOC: pep8 & formatting in neighbors docs
new 7b762d8 DOC: make doc tests pass
new 85ec129 DOC fix docstring typos in cluster/mean_shift_
new 55bdefc Merge pull request #2135 from fhs/meanshift-doc
new e40a7f5 FIX unique_labels in corner case
new e3ca5c1 FIX issue with comparable but different dtype
new adcb0a8 ENH don't allow mix of input multilabel format
new 825b2c0 ENH simpler check for mix of string and number input
new 45847a7 COSMIT better name
new 46d4718 Typo
new 91e4b9a ENH use type_of_target within unique_labels
new 61d9f41 ENH improve documentation with allowed label types
new aef47a7 ENH check that we don't mix number and strings
new 7856a72 Flatten label type checking
new 33016ed TST add smoke test for all supported format
new 6c68cac COSMIT
new 7699100 PY3K use six.string_type
new 109f2fb OPTIM + ENH simplify mix string and number check
new a9197f3 FIX bug with indicator format
new a62abe6 ENH use a comprehension over imap
new eff660b ENH optimize KMeans for sparse inputs
new 6a6c2e9 FIX KMeans bug; argsort result apparently not always C-contiguous
new 8371647 DOC what's new: faster KMeans
new c2784e7 DOC fixed small mistakes in the pls module
new 7be8a1e Merge pull request #2138 from NelleV/kCCA
new 5482a73 DOC more explicit description of degree param on SVMs
new 9f30384 Better status for the Py3 port
new d51b5ab @arjoly and @glouppe thanks their funding FNRS and DYSCO
new 90f3f58 Adding covariance regularization to QDA
new 43fda22 Update qda.py
new c6dfe7e Update qda.py
new a2f2d6d Missed a space!
new 7450058 Merge pull request #2140 from arjoly/ajoly-glouppe-sponsor
new 49de26a Updating to ensure pep8 compliaance
new 9abb39f reg_param is a float
new 445db73 Update qda.py
new 7b067b5 Update test_qda.py
new d147ad5 Update qda.py
new eee3c7c Merge pull request #2142 from sergeyf/master
new 09a64c5 DOC fix small mistakes
new bc54f01 DOC fixed some formatting in kernel approximation
new 60b66a2 DOC fixed some formatting in the multiclass module
new 765ac5d Merge pull request #2145 from NelleV/kCCA
new fb10548 clearer decision surface plots and classifier final predictions for the ensembles
new d041aed Donate buttons added `About us` and front page
new fe52584 Got all the doc-tests working
new 4e1bc3c improved formatting
new c619e7c Merge in master
new def6c35 More python3 fixes (and just plain bugs)
new 14f8fdb use ELLIPSIS in doctest to deal with numpy changes.
new ef2cff1 Forcing the deprecation warnings to happen while in get_params.
new 73e0492 Force warning to be heeded in deprecated args check. Possibly fixed a test bug (but maybe I just got it wrong)
new 91ececa Make a test not dictionary order dependent.
new 61226a2 Fix up last doc tests.
new f1a40a4 Make the fixes 2.6 compatible
new e27743f ELLIPSIS around a unicode issue.
new 964a530 Fix y vector. We wanted round off division so that y == [0 0 1 1 2 2 ...], not [0 .5 1 1.5...]
new 777f57a A little more of those unicode helpers
new 2bd695a Another ELLIPSIS
new 42af130 add 1D KDE example
new be0ba9d DOC: small fixes to neighbors doc
new 0fcd0ba DOC: move KDE discussion to separate page
new 162934e add some notes and doc strings to neighbors cython code
new 77695ee COSMIT pep8
new 3840fec ENH order *does* matter for sparse matrices
new e53a2d5 donations paragraphs added
new 43c55b5 FIX get rid of the last few asanyarray calls
new c942bcf DOC fix erroneous docstring on preprocessing._transform_selected.
new 331c450 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new 8b9b4e4 BUG: replace elif by if in Ridge solver selection.
new daa3445 MISC: details about the donations
new 0a549bf Merge pull request #2146 from ianozsvald/clearer_iris_decision_surfaces
new 958de49 add more documentation to ball tree and kd tree
new a42e4f1 DOC: tweak kde examples and move density docs
new ff11845 BUG: fix tophat sampling in KDE
new db888b3 Xplot -> X_plot
new 814ad9b Test for singular matrices in Ridge regression
new 91e880f MAINT: dedup @jakevdp and @jnothman in mailmap
new aeeda9f COSMIT refactor document frequency implementations
new c3f9739 ENH print number of fits in BaseSearchCV._fit
new 5bff742 COSMIT simplify printing of number of fits in grid search
new 3e6121e COSMIT fix a docstring in feature_extraction.text
new 6121367 Pop off the recently added filter after testing for deprecation warnings.
new cfe0eae merge in origin
new 23a1a56 Comment change
new 7697a6f Merge more Py3 fixes
new 16e971c PY3: refcounting change introduced a regression on the use of resize in LARS
new ae9f7ef BUG: type conversion in spectral_embedding
new 3001fb6 bt->tree; dm->dist_metric
new cad8629 Additional implementation notes in binary tree
new 40f4e94 MISC: remove unused imports
new b9673ab example yahoo stock issue fix
new 9c7f446 Fix two remaining python3 bugs.
new 0dc094c BUG: restore Python 2.6
new 1f8ed89 COSMIT: two empty lines between functions
new 9bd98c3 Merge branch 'pr_1732'
new 98151cb P3K developer docs
new b0d2649 FIX: pep8 and Py3 support in sklearn.neighbors.base
new 00af6a2 FIX: Python 3 support for the neighbors doctests
new 4fc42b9 FIX: pep8 + Py3 fixes in test_dist_metrics
new 7f0803c FIX: pep8 and Py3 support in sklearn.neighbors.dist_metrics
new 4938dec FIX: Py3 / pep8 fixes in test_ball_tree / test_kd_tree
new 22dbecc Update Python 3 support status
new e433d20 FIX use float64 in metrics.r2_score() to prevent overflow
new 1b9ad77 TST r2_score float32 overflow fix
new d1bc252 Revert "TST r2_score float32 overflow fix"
new 0bf3988 updated docs to fix formatting errors
new c490691 Merge pull request #2163 from ianozsvald/fix_plot_forest_iris_docs
new 5190583 PY3 use urllib2 or urllib.request, based on Py2/3
new 6713132 DOC let OneHotEncoder, DictVectorizer and FeatureHasher refer to each other
new 1a8b797 DOC correct class_weight description for LogisticRegression
new 376c570 BUG: use correct algorithm for callable metric
new 7d489f3 TST: set random state in callable_metric test
new a7dc0fb Style
new 93deda5 More readable condition and more precise error message
new 9c2ec56 FIX memory usage in DictVectorizer.fit
new bbf74a9 DOC/FIX twenty_newsgroups.rst should use TfidfVectorizer
new 2fbd66c Traversal in and tested. Next step is to remove references to old code
new 1d4d664 Removed reference from spectral_clustering to old csgraph
new e30103a csgraph updated from hierarchical.py
new 09b6ce9 Removed actual _csgraph file, tests still all pass
new 9259c39 Turns out sparsetools wasn't needed either
new 3ebd9ee Missed a spot
new 4f125c7 Reference to graph components updated in dev docs
new baae05e Two more spots. I think that's it
new 4e1e1ab Now that the folder has more than just mst in it, rename to sparsetools, which should help with referencing it.
new 9e5e287 BUG: fix sparsetools tests in old scipy
new f778a8d WIP: new Cython interface for decision trees
new ecd4f29 WIP: comments on the Cython interface
new 51780b1 WIP: Criterion interface and base class
new 5355988 WIP: ClassificationCriterion (reset, update)
new 251ed5f WIP: Gini criterion
new c0e1485 WIP: entropy criterion
new 5a74082 WIP: remove n_left and n_right attributes
new 28ee133 WIP: MSE criterion
new 9eccd4f WIP: tree class
new 5a0cd20 WIP: tree algorithm
new 92695fd WIP: add_node
new f0d8b15 WIP: node_value
new bd71188 WIP: node_value
new 6c39af3 WIP: predict + apply
new a488b3c WIP: Random Splitter
new 64c5af5 WIP: splitter
new 6c832ba WIP: Best Splitter
new 83e7e89 WIP: sort features
new d27763b WIP: first pass on tree.py
new 794a1e2 WIP: some debug
new 03a3763 WIP: some more debug
new 23eef48 WIP: debug in progress...
new 9a4cae5 WIP: debug (tests still don't pass...)
new 4ea0d11 WIP: one more bug fixed
new 8c82dcd WIP: cleanup
new f2ca99a WIP: one more test fixed
new 1912a28 WIP: more bugs fixed :)
new 0b3cf31 WIP: 19 tests passed
new 172b021 WIP: test_tree.py now passes \o/
new da811ec Cleanup
new bbc3c23 WIP: feature importances
new 6306c4c WIP: discard samples with weight = 0
new 3200735 WIP: fix export functions
new abaee1a Cleanup
new 76670a1 WIP: first pass on ensembles
new 79ee321 WIP: use heapsort
new 6378925 WIP: small optimization to heapsort
new 7e03c7d removed min_density example - dropped param
new 4742806 gbrt now works with new DecisionTree implementation
new c0a4a9a import classes - now they work!
new bf8c786 fix: proper dtype for SIZE_t
new 7344b8e add GBRT to covertype benchmark
new 9f0e56e WIP: remove asserts
new 44171c8 WIP: use C-based random number generator
new 0e420b7 WIP: set n_classes as ndarray
new 7880b7d FIX: fix test_random_hasher
new 5e5dd90 WIP: fix adaboost
new 5fd21a1 WIP: small optim to regression criterion
new faeea4b WIP: optimize tree construction procedure
new 6de7739 WIP: optimization of the tree construction procedure
new 561a6b5 cleanup
new 2debc7a recompile _tree.pyx
new 167bbec FIX: export_graphviz test
new c806cdf FIX: set random_state in adaboost
new 314ffce FIX: doctests
new 93806cf FIX: doctests in partial_dependence
new ead9631 FIX: feature_selection doctest
new 2d69d4c FIX: feature_selection doctest (bis)
new e66224f WIP: allow Splitter objects to be passed in constructors
new ca3cf08 FIX
new 563f907 Some PEP8 / Flake8
new 7f9a595 Small optimization to RandomSplitter
new 9b62f3c FIX: fix RandomSplitter
new fa34848 Cosmit
new 950622b FIX: free old structures
new 8f18d96 WIP: Added BreimanSplitter
new 3f540da WIP: small optimizations
new b398083 WIP: fix BreimanSplitter
new e5d0416 Cleanup
new 730d6b0 WIP: optimize swaps
new 2ee32a2 Regenerate _tree.c
new a3a7fc8 WIP: some optimizations to criteria
new a30fa20 WIP: add -O3 to setup.py
new 13bb04b WIP: normalize option for compute_feature_importances
new 2027f89 WIP: Added deprecations in tree.py
new 0bd3f50 WIP: updated documentation in tree.py
new 5170345 WIP: added deprecations in forest.py
new 79953a0 WIP: updated documentation
new 7785287 WIP: unroll loops
new eff6d64 WIP: setup.py
new 42af22d WIP: make sort a function, not a method
new 2e71ba3 WIP: Cleaner Splitter interface
new e2363c9 WIP: even cleaner splitter interface
new 46d43e8 WIP: some optimization in criteria
new 5d37cbd WIP: remove some left-out comments
new b1848d5 WIP: declare weighted_n_node_samples
new ad8b6b9 WIP: better swaps
new 247172e WIP: remove BreimanSplitter
new 8499b11 WIP: small optimization to predict
new 9b5cafe WIP: catch ValueError only
new a2ea591 WIP: added some documentation details in _tree.pxd
new 52b193a WIP: PEP8 a few things
new 01081b5 Benchmark: use default values in forests
new f84e463 WIP: remove irrelevant and unstable doctests
new 8f0fd21 WIP: address @ogrisel comments
new 10a4155 WIP: address @ogrisel comments (2)
new d1e72c5 WIP: remove partition_features
new 95f5df0 WIP: style in _tree.pyx
new cf19e1b WIP: make resize a private method, improve docstring
new 4c032ac WIP: use re-entrant rand_r
new 4e3d8f0 FIX: doctest in partial_dependence
new 24cb60d WIP: break or shorten some long lines
new 570bca0 FIX: doctest in feature_selection
new b564098 WIP: break one-liner if statements
new 0c79587 WIP: revert use of rand_r
new c7266ec ENH back-port rand_r from 4.4BSD
new 3b81aee FIX move rand_r to tree module for now
new a398577 FIX: broken tests based on rng
new 0be3a70 DOC: update header in rand_r.c
new c1b93ed TEST: skip test in feature_selection (too unstable)
new a42701e FIX: one more doctest
new dc94d14 WIP: Faster predictions if n_outputs==1
new cb994bf WIP: Break comments on new line
new cc3f2cf WIP: make criteria nogil ready
new bbdccca WIP: enforce contiguous arrays to optimize construction
new e0dcedd WIP: avoid data conversion in AdaBoost
new f03095a WIP: use np.ascontiguousarray instead of array2d
new 4e4316c TEST: add test_memory_layout
new ed9d503 FIX: broken test
new 2c3861f WIP: Make trees and forests support string labels
new 1bd7c8d WIP: refactor some code in forest.fit
new 757de67 TEST: skip doctest in feature_selection (unstable)
new 8f9f2e4 WIP: better check inputs
new df8eedd Make callable svc test more robust for MacOSX.
new 80dba53 WIP: check inputs for gbrt
new 239054d Merge pull request #2131 from glouppe/trees-v2
new c0b35eb What's new: new implementation for trees
new cbd6544 Added decision_function support to OneVsRestClassifier and a test, test_ovr_single_label_decision_function, in test_multiclass.py
new 5088875 Updated fixes for #2012.
new baffa30 Strengthened tests for OneVsRestClassifier decision_function
new 7844861 Cleaned up tests, and removed unused multilabel parameter in decision_function_ovr
new 2d6093a Inlined extraneous function call from decision_function and added a check that the base estimator has a decision_function attribute
new d504675 PEP8
new f1f0a1a FIX Minor stuff in document_classification_20newsgroups output
new abddaa8 ENH Add filters on newsgroup text
new a75949a DOC 20news filtering with smaller set and MultinomialNB
new c61b560 misalignment fix
new 0c6c773 FIX: remove debug message
new 33069d1 added pxd to Manifest (to be included in source tarball)
new 0535d27 Merge remote-tracking branch 'upstream/master'
new 55377a1 PY3 fix string literal syntax error
new 613d025 TST skip Graphviz export docstring in trees
new 12d9bf2 FIX: remove -funroll-all-loops
new 0a23ff7 FIX: ur strings are not supported in Python 3.3
new cbfe851 example fixes to clean first docstring paragraph of rst code
new 0454a0e ENH remove _is_1d and _check_1d_array thanks to @GaelVaroquaux
new 813203d flake8
new 94227aa ENH raise ValueError with row vector if multilabel or multioutput is not supported
new 83b4836 ENH being less permissive thanks to @jnothman
new da7fe89 DOC add example is_multilabel
new 0d22d8c ENH handle properly row vector
new a406a5d Flake8
new 46e201d ENH better error message
new 7967c34 FIX switch to the new format syntax
new 636033f ENH prettier error message for _binary_clf_curve with bad input shape
new 7ab0eb6 ENH use ravel instead of atleast_1d and squeeze whenever possible
new d2c3608 ENH coherently input checking for regression metrics
new 243e633 ENH dryer thanks to @jnothman
new 669e7d2 TST stronger test for _column_or_1d function
new 31b056b Cosmit
new b285bd0 ENH better error message when estimators don't specify their parameters in the signature.
new b60aa08 TST use TruncatedSVD in random forest tests
new ac40a85 Merge branch 'pr_2002'
new 65cce1b fix merge conflict
new b892db9 COSMIT refactor random forests
new ca40d2f COSMIT refactor forests, part 2
new 71de0fe FIX ^ is a symetric difference
new 1a21518 border added for IE
new b5950ad Style fixes
new cfe0c56 [DOC] missing parameter description
new a9354a6 MAINT Set random_state, modernize tests
new 5fafad9 TST max_features for more tree estimators
new 73e24d2 TST remove unused tests
new d276e55 ENH add missing pxd of utis.random
new 1c052f3 ENH Use file configuration
new d000060 FIX signature
new df7e135 cosmetic: Changed all instances of nonlinear to non-linear
new 6094feb Merge pull request #2187 from FedericoV/non_negative_style
new 798f442 FIX faulty import in 20news docs
new 043aaa1 Fix as_float_array behaviour when copy=True
new c91504a Add test of the as_float_array behaviour when copy=True
new edb2ff7 COSMIT sphinx fixes
new e488704 COSMIT pep8
new 5546681 Fix broken link to web designer
new 61a16b9 Fix broken link to web designer
new 92a5197 Add fit_transform to FastICA.
new fe8790c Add inverse_transform to FastICA.
new 62795e0 Add docstrings to methods in FastICA.
new 9ec0127 Address @dengemann's comments.
new 7c30e5a Add test.
new 12c41e7 Push failing test.
new 4200c96 FIX transform tests
new 7ad789d FIX: remove inplace mod
new 0e55dfe ENH fit_inverse_transform for FastICA
new 1708214 DOC document mixing_ attr on FastICA
new 5ee41cc COSMIT attribute checking in FastICA
new 04459cc COSMITS
new 0000826 FIX: inverse transform + add mean_
new 8342b7c COSMITS
new 9b0a96d FIX: syntax typo
new 17aff7d FIX: tutorial
new 643a00f COSMITS + DOC
new 772102d COSMITS
new f7f2db1 ENH: improve tutorial to be more clean.
new 27cc389 ENH + FIX: remove inverse-t kwarg + fix mean_
new 0e58157 FIX: address @agramfort 's comments
new 5f8aa2e FIX: address remaining issues
new 340dd33 FIX : finish get rid of fit_... param
new 2c5b03a ENH : avoid one copy in FastICA code
new 3ff1f65 misc
new 1e02032 ENH: speed up logcosh
new 91f588b update ICA examples
new 71b5a16 FIX: Finish package rename from mst -> sparsetools. Fixes #2189.
new db7d0bf DOC: Fix backwards docs on thresholds for preprocessing.
new a00a50e adding comment
new ec1bdbc Merge pull request #2196 from erg/labelencoder-docs-fix
new d6b0f36 make new classes for lasso_path/enet_path and deprecate old
new 1c784b9 ENH : massive refactoring of CV models in coordinate descent. Now the algo core is in path functions
new a164db3 update what's new
new 52ed83b FIX: Py3 print statements to print functions
new 3953c47 Merge pull request #2195 from erg/bug-2189
new ed6cd9d ENH added an option to do an isotonic regression on decreasing functions
new 03bd2bf rel_canonical prelim
new 7749896 Merge branch 'master' into ENH_docstrings_in_gallery
new 650e643 syntax fix
new 192c558 TEST: added a small test for fitting an isotonic regression on a decreasing function
new 31d0f45 DOC : fixes in covariance module
new 8b31ddb DOC : more fixes in covariance module
new 3fdb4fc COSMIT explicit None check in naive Bayes
new fcb8f30 TEST tests the class instead of the function for the decreasing isotonic regression
new 4dd30a5 Merge pull request #2202 from NelleV/isotonic_reverse
new d743520 cleaned up-ready
new 34b3f03 add OOB improvement and set oob_score deprecated
new eecca4b example for oob estimates in GBRT
new 9b20081 plot cv error as well
new 1073699 rm print stmt
new 1fd0090 rn: plt -> pl
new 9c58296 fix: oob_improvement_ with trailing _
new 8376e12 more docstrings
new 81ffae5 cosmit: use train_test_split - tuned params for nice plot
new 04e8d2b narrative documentation for oob improvement.
new f1d0451 more tests
new 898dbc7 cosmit: better links and a note on efficiency using max_features
new c2e9949 comments
new 017b605 cosmit: n -> n_samples
new 725020a cosmit: rs -> random_state
new b8f018d more doc for OOB example
new 42ff16c use new style str formatting
new bf063b1 rearanged some code
new e75d9bb rn: ACC -> Accuracy
new 08d795a rephrased max_features doc
new cebaeeb moved to new pyplot import
new b5c055b more narrative documentation for oob in gbrt
new 1efd666 regression tests for oob_improvement_
new 63c8848 example doc string
new 30c08d4 Merge pull request #2017 from jaquesgrobler/ENH_docstrings_in_gallery
new f727efa Small docstring changes for plot_ward_structured_vs_unstructered example, as mentioned in PR #2017
new 67ac5f7 Merge branch 'gbrt-oob-improvement'
new 6de5e41 covertype benchmark: use C-style input as default (most models require it as input)
new 50de54d fix: use asserts from sklearn.utils.testing fix: duplicate test names
new a1cbe78 TST error message for _check_clf_target
new 407a43e COSMIT
new e93cba3 FIX TST given cosmit
new 5c92dff COSMIT don't need set
new 913e815 DOC explain the code
new bff544e COSMIT product(..., repeat=2)
new 1720cef nitpick fixes, pep8 and fix math equations
new 76ba751 fix: python3.3 warning fix
new 4e7e637 Merge pull request #6 from jaquesgrobler/cov_doc_fix
new 20f1554 Merge pull request #2203 from agramfort/cov_doc_fix
new 393b996 ENH simplify the Scorer API
new 5597d6f FIX bug in scorers that take probabilities
new c9c7a61 removed old_version block test
new 720bc2e Merge pull request #2205 from jaquesgrobler/ENH_rel_canonical
new 9f365ee ENH added Restricted Boltzmann machines
new 75c7cc5 30% speed-up thanks to in-place binomial
new 3388b66 ENH 12% RBM speedup with ingenious ordering of operations
new 96a2834 rename h_samples to h_samples_
new 3068e61 added URI for RBM reference
new 78b128e improved docstring for transform
new 97c9760 renamed _sigmoid to _logistic_sigmoid
new 7ca5e30 use double backquotes around equations
new 0b23c07 logistic_sigmoid moved to function
new a4b4b43 transposed components_, no performance penalty
new 90c6fe8 only compute pseudolikelihood if verbose=True
new fd2867b more accurate pseudo-likelihood
new e0490a4 use iteration terminology instead of epochs in RBM
new b784c4c default n_components from 1024 to 256
new b22c0ca clarify some method names (ex: mean_h -> mean_hiddens)
new 0651905 added epoch time
new 2f17015 ENH RBM example
new 13a57a1 switched to digits
new cf4b9c3 moved rbms to neural_networks module
new a465523 add tests for rbm
new ec58f98 trim whitespace
new 971360a COSMIT RBM test in usual nose style + moved to proper module
new 4212444 BUG + COSMIT + ENH RBMs
new a9a7ae7 use train_test_split
new 41fedd6 Added RBM to whats_new.rst
new e8b0f95 DOC Added skeleton for RBM documentation
new 2d86899 ENH Rename RestrictedBolzmannMachine to BernoulliRBM
new cd79faf FIX: make BernoulliRBM doctest pass
new 71e058c FIX: BernoulliRBM check random state in fit, not in init
new 49c4a7a FIX: validation in `BernoulliRBM.transform`
new db373c2 DOC: first attempt at RBM documentation
new 36681ab Link to RBM docs from the unsupervised toctree
new 0835af4 FIX: uneven RBM image
new 82cd51d DOC: PCD details and references
new 3cafa9f neural_networks -> neural_network
new 712f3cc ENH rename n_particles to batch_size in RBM
new 44b7be1 TST added more RBM tests
new 2c905f2 BUG: fix unsafe casting
new 2ed3192 DOC: improve RBM example
new ef16f95 Fix typos in example
new 0dd53f4 PEP8 and indentation
new 2b17b4a DOC add plot and example to docs
new b7e7a68 DOC rewrite BernoulliRBM example description
new 08a2a12 Set seed through params, not globally
new 8e7fd22 FIX handling of random state, hide some of API
new d3a7491 nudging the digits dataset for BernouilliRBM example
new e9e799d Pep8 example
new e2ea85a Update example params by grid search, and docstring
new 356ec10 One space after dot
new 9ba37e5 DOCFIX neural networks module
new 71ff60b DOCFIX spacing and clarification in RBM docstring
new 8795ab3 More stable implementation of logistic function and its derivative by @fabianp
new 38fca5a Use gen_even_slices instead of homebaked code
new 110297d TST added a 'fit [[0],[1]] + gibbs sample it' test for RBMs
new 59631d6 replaced test_gibbs by a smoke test for NaNs
new d3c34fd check for pseudo_likelihood clipping
new e488649 ENH Add fast and stable logistic sigmoid to utils and RBM
new 00cf80c ENH Support sparse input in RBMs
new 0f11698 COSMIT refactoring rbm
new 89d0eaf ENH Prevent memory copying in RBM's _fit
new 050fe37 Do not touch uncopied memory
new 62763ea RBM example now verbose
new ac1e1a9 squeezing logistic_sigmoid result only on 1D arrays
new 31cac01 adding a test for sparse matrices in RBM
new f05c6c5 changing free_energy to private in RBM
new 52eeb95 added neural_network to setup
new f37668f Nudge images using convolve, slower but more readable
new beb4d73 Clarify narrative docs
new c7f9682 Clarify and python3 RBM example
new 9b40246 Periods and other docstring issues
new 539bb39 MISC: remove unecessary dtype
new 5a1097e Remove redundant test
new d497ec0 Python3 support in RBM
new 3b1bd59 TST RBM smoke-test verbosity
new 5bba0a8 Add a copy parameter to safe_asarray()
new de4b923 Merge branch 'pr/1954'
new e3d2ecf MAINT _logistic_sigmoid.c is "binary"
new de6e1a3 cosmit : protect attributes in RBM for sphinx
new cec3061 Imp readability
new 24cb1f0 PY3 fix RBM test
new 8336f78 GraphLassoCV works with alphas given as list.
new 27e2b6e Simplified GraphLassoCV code.
new f0858e3 Put back cov_init parameter in graph_lasso_path_
new f1eecf1 Speed up some tests
new 5c5890a Removed unused import
new 0626d73 ENH: improve ICA memory profile by 40%
new 9ebdd08 pep8
new e73b0b0 better coverage
new a10bfd1 fix doctest
new 86775a6 ENH : use warning instead of print
new 9eb9470 update what's new
new 4cb8e88 Merge pull request #2212 from dengemann/ica_memory
new 21615b2 DOC/FIX affinity_propagation damping default value.
new 2b91f39 Merge pull request #2213 from cmd-ntrf/master
new 81c7a7a FIX missing class attribute in ICA. Common test was failing
new 20f5985 DOC: some documentation for the Tree Cython structure
new bc572f6 FIX: fastica function dictionary default value
new b5d89de DOC copyedit RBM docstrings
new 87a18ae Merge pull request #2216 from glouppe/tree-doc
new 02ae145 Deprecate FastICA.sources_
new 419c2be Rename LabelBinarizer.multilabel to .multilabel_ + DOC
new e44eb54 WIP: partial fit for discrete naive Bayes models
new c9bd6ea Remove the class_prior partial_fit param
new 02cdd92 WIP: started to factorized the raw count collection
new dea7f3f Incrementally is useless now
new ef17c8b Add reference to the Manning text + restaure previous smoothing
new 6f6a6d2 FIX shape issue when y has only one single class + some missing doc
new 84397fb Factorize common classes checks in partial_fit implementations
new 7362e28 Add note on a possible future performance optimization
new b6d59fe Add a note on performance tradeoffs in the docstring of partial_fit
new 87d2fca More informative error message. Also CV now use integer indices by default now.
new fa47f2c Use floats everywhere to get rid of warnings when using sample_weight
new 4719670 More input checks
new 3a0214f Better test name
new 950bbfd Remove redundant shape check already done by check_arrays
new 1505af9 Add missing test for sample weight with partial_fit + fix issue classes passed as a list instead of an array
new ae8a0c9 One more input check test
new ba69ce4 Add missing test for deprecation warning
new 1bbdeec Found a bug: add a failing test
new aa44a21 Use unique_labels more consistently in the multiclass model
new bbba787 Fix broken partial_fit test
new fc8e88c Factorize label_binarize for binarizing a sequence of labels with fixed classes
new 9fd25eb Add a new whats_new entry
new 30464c7 Add some doc for the new partial_fit method
new f3b3a87 wording
new e81b9f6 Avoid raising a deprecation warning on label_binarizer_.multilabel_
new 2f42fd2 Fix docstring and add some usage examples
new 7d21296 FIX: do not update feature_log_prob_ in _update_class_log_prior
new 4914657 TEST remove deprecated stuff from fastica tests
new 14f2b29 Document the deprecation
new b00f120 Add one more tests to check the performance on digits
new edbeb64 DOC pep257 + c/e in sklearn.base
new 6244542 FIX bug in test
new 5d8caab Make test_deprecated_fit_param pass under python 3 as well
new 0a42d7a MAINT moved the pls file based module to a folder
new 67191ac TEST fixing pls tests failing:
new 38e84c5 MAINT Move the pls to the cca to a cross_decomposition module
new f93659b MAINT renamed pls to cross_decomposition in the documentation
new 0cb1bc3 FIX the example plots of the pls module did not import pls methods from the correct module
new 6963725 FIX removed the cca and pls modules
new d045be0 FIX added the new module to the setup.py installation
new 8b13a1f DOC improved docs/docstrings on cross_decomposition
new b732f4d MAINT deprecated the pls module, moved CCA to cca_
new a4efec5 FIX init methods of ABCMeta class also need to be abstract
new 987cc91 Address wording and typos identified in review
new 5cc9a63 Better parameterization for test_check_accuracy_on_digits
new 0a6c439 Add a whitespace in parameter docstring item
new 908ab6e Merge pull request #2217 from vene/ica_fit_transform
new b82601f More accurate documentation for class_count_ and feature_count_
new e8414db Merge pull request #2182 from NelleV/pls_refactor_2
new 08de819 Rename helper partial_fit function
new a702a35 DOC+ENH: fixes in least_angle + one vectorization
new 0c461e4 ENH: better error message on scoring
new 2ef7ece DOC: reorganize model_evaluation
new c9a1808 MISC: address comments and test failure
new 3d0fc04 DOC: address remarks by @NelleV
new 0da3477 DOC: Address @larsman's comments
new c80b3e1 DOC: @amueller's comments
new 2b8dc2d DOC FIX typo on fbeta, closes #2219
new a1b5553 FIX on py3k, we need explicit relative imports
new 040ac76 DOC : better doc of array shapes in fastica
new 6252883 Merge pull request #2175 from ogrisel/nb-partial-fit
new d651a91 MISC : use linalg from scipy
new f49f6ad Update mailmap
new 4872496 doc: hedge the use of OOB estimates
new b0bd203 ENH : removing warnings from tests in cd linear models
new b628b82 Merge pull request #2194 from NicolasTr/as_float_array_copy
new c38caac Refactored verbose output in GBRT - output much more nice Added tests for verbose output in GBRT cosmit: use str.format instead of % updated whats new with GBRT changes
new 3eccb93 DOC add missing datasets helper
new 6fc30af ENH remove deprecated
new cb113b9 Benchmark: use specified dtype
new 20b4e4a fix whitespace around new tree.pyx docstring
new b86071b Missing value imputation
new 64efcd5 TEST: cosmit on err_msg
new 81857bf Raise an exception if rows are full of missing values
new 0df316c FIX: doctest
new fabca84 Better error message
new fe5e2bf Fix tests
new 6d79e59 Fix tests + doc improvements + renaming
new ffc0d20 Add test with default value of copy + doc improvements
new feea9a5 Imp readability
new a0b0dc7 Fix use of as_float_array
new e3a07ac pep8
new 8c1f77d Imp variables names
new 3a0589c Del use of as_float_array + naming and documentation improvements
new 343ce5e Fix use of mask
new 5ad8bff Fix import names
new aac47a2 ENH remove deprecated things (2)
new 9efd24c Update what's thanks @NicolasTr
new e15f768 FIX: use range instead of xrange
new 6faafac Merge pull request #2223 from arjoly/doc-datasets
new f1ac2e0 ENH add support for string input with classification metrics
new 90f062a ENH use the new format syntax
new a8d4956 ENH remove inspect
new 541e44e TST fix string labels in metrics tests
new d87c4f7 COSMIT
new c165b39 Update what's new
new 62018d9 DOC state that string is possible
new fa03e72 TST with labels arguments
new 0d0a932 FIX what's new...
new e1fd0dc use new virtualenv features of travis, so we don't have to kill the virtualenv
new 96a24e5 DOC copyedit preprocessing docs
new 08b2a81 Merge pull request #2228 from amueller/travis_virtualenv_stuff
new 7f5462c Trying to enable python 3.3 too.
new 060bab9 Update .travis.yml
new 025c25f MAINT ignore profiling results from kernprof.py
new 55d2668 DOC copyedit KernelCenterer docstring
new 9d89354 DOC minimal kernel centering narrative docs
new 1da5058 fix: newest numpy doesn't like all-indexing non-existing dimension (reported by erg #2233)
new 6c89eb8 ENH remove bad examples
new 1a6383f DOC let some example for prf metrics
new aabdbb0 Merge remote-tracking branch 'upstream/master'
new cb868ec FIX: Newer numpy causes scipy to issue a DeprecationWarning. Ignore it. Fixes #2234.
new 8436201 ENH allows make_multilabel_classification to return label indicator f…
new 0bce8a1 TST grid_search_cv works with multioutput data
new 7f95b85 TST cross_val_score with multoutput data
new bd6c741 FIX missing deprecation release information.
new 38b8755 DOC recommend understanding NumPy in the tutorial
new 3f0751f DOC expand feature selection docs with an example
new 89012aa DOC minor copyedit to FS docs
new 19033bd ENH: Add the hungarian algorithm
new 16e48ab TEST: Increase testing of hungarian
new c5417e7 MISC: cosmit in hungarian
new dab7e50 ENH: Speed up in hungarian
new 1e06e49 ENH: More speedups in hungarian
new 5fdfede ENH: More speedups in hungarian
new 7026c7f ENH: Still more speed ups in Hungarian
new 47c643c ENH: More speedups on Hungarian
new 941e60c This should make the hungarian algorithm accept rectangular cost matrices. Also enabled the tests. NOTE: Only tested on rectangular matrices of shape nxm such that m > n. Tests need to be expanded to test m < n.
new 00249b1 An additional check needed in case where there are fewer columns than rows. All assignments are made, but the algorithm wants to keep going because there are some rows left.
new 4157f20 Added support for hungarian assignment problems where one dimension of the cost function is zero-length. The result in such a situation should be an empty array.
new bd53545 Created an alternative hungarian solver for rectangular matrices that does not involve matrix padding. Also modified the test to test the transpose of the cost matrix as well.
new e59ae98 hungarian() now returns a 2-D array of indices instead of a 1-D array. Also modified the find_permutations test to accomodate.
new fd74a46 Some minor changes to docs, and small simplification in code. Still need to update docs for hungarian() and find_permutation().
new e14fff0 API: scikits.learn -> sklearn
new 4fc652bb Updating namespace usage from scikits.learn to sklearn
new e0b6402 implement spectral biclustering and spectral co-clustering
new 789d8d1 wrote tests
new ca902ad wrote methods for generating bicluster data
new cb66caa added option to return piecewise vectors
new 39e65cc cast data in fit()
new 125ee1a made internal functions private
new 55d54fc use random state in test
new 2fc53d3 removed pickle test
new ab93c0a shorten first lines of test docstrings
new 53ac215 use random state in preprocess tests
new 9f5bad3 duck typing, minor corrections: spacing and typos
new 316c1b6 fixed exceptions and their messages
new 216b71b updated svd()
new f3a4c24 better array validation
new ddf82ee use random state in data generator
new 7f025cf tests reuse data generators
new ce5496e user may select svd method
new 2c96083 Added to docstring
new 0eb5c06 split spectral biclustering into two classes
new 5ebd11b removed unused code
new 4ae9c2c test bad arguments
new 268b7ee now supports sparse data
new 76143b2 check n_clusters parameter more thoroughly
new d51697a made base class an abstract class
new 34caec6 checkerboard panels may have arbitary values.
new c1df6bc fixed exception type
new d53f470 removed empty mixin
new b218edc started biclustering documentation and examples
new 0248fc7 shorter array slicing
new 89fbea5 made some methods into private methods
new 9856687 cleaner use of check_arrays()
new a421e5e named arguments
new 64ce386 use safe_sparse_dot()
new 8204731 use np.random.RandomState directly
new 9510c20 do not do any checks during __init__()
new 6b92b4c do not use mutable default arguments
new 642be48 added new tests for sample data generators
new 36daa8b fixed bug in make_checkerboard(), so tests pass again
new 2e78d10 use assert_all_finite
new d6d635a skip permutation test for now
new 836f3f0 fixed some errors reported by pyflakes
new bfaf21d raise exception instead of converting sparse arrays to dense
new 18c305d expanded biclustering documentation
new 0533dcc corrected k_means in docstring
new fe5f3cd rearranged imports from general to specific
new 395b231 moved and renamed _make_nonnegative() and _safe_min()
new 3ca7b70 added option to use mini-batch k-means
new 470b493 use dia_matrix
new 5694d34 renamed 'preprocess' to 'normalize'
new ae3d61a use sklearn.utils.extmath.norm
new 05dcd10 base class __init__ is no longer abstract
new 135ee9b added more information to error messages
new ec2254a also use norm in _project_and_cluster()
new d34cb31 make test more sparse
new 9c20a9e made 'bicluster' a submodule of 'cluster'
new 08e5c35 removed svd_kwargs argument
new 9d32afa added n_svd_vecs parameter
new ba68233 tests use ParameterGrid to avoid deep nesting
new 202e6ee replaced kmeans_kwargs with some useful k-means parameters
new 3be95af updated documentation
new 83a2850 keep biclustering algorithms in submodule
new 8b2b8e5 renamed examples; added to example docstrings
new 871d92b re-added bicluster mixin, this time with some functionality
new 1978d2f wrote newsgroup biclustering example
new a591ff9 fixed a few things in examples, documentation, and docstrings
new 5ad0dfb wrote bicluster scoring using jaccard index and hungarian matching
new 45dafac removed some parameters to speed up test
new ecc96d9 added default arguments to base class's__init__ to make test pass
new 4657ea2 test_make_checkerboard was wrong after api change
new f3cf630 added documentation for bicluster evaluation
new 96e0264 moved shuffle functionality to utility function
new e748018 added consensus score to bicluster examples
new b0a9f92 renamed example to get output to work
new 9308d4a made bicluster utilities for dealing with indicator vectors
new 108d1bc index in one go. added sparse test.
new 4fda1a2 documentation and docstring fixes
new 510d860 merged newsgroup example with Vlad's
new cbdd485 moved bicluster examples to their own category
new 269eeb0 reduced noise in spectral coclustering example
new b95b9c4 updated newsgroups example
new 8984ce4 added n_discard parameter to _svd()
new 2137016 check value of n_components and n_best
new 6a35a93 a fix for nan values in singular vectors.
new 3c23903 wrote tests to ensure svd works on perfect checkerboard
new 1893477 redundant phrase in docstring
new 479d327 put biclustering section after clustering section in reference
new 2fa8586 misc. fixes
new 0dadefe changes to newsgroups example: - only print the best biclusters, ranked by ncut; - increase example batch size
new f9efd1b fixed some docstrings: backticks and missing parameters
new 89be3d5 updated setup.py
new 2442b84 added myself to authors; added biclustering to whats new
new af8abde examples use matplotlib.pyplot instead of pylab
new f9670d8 consistency changes: - renamed maxiter to max_iter - named arguments to apply_along_axis()
new 6789f59 Clean up and rename Hungarian algorithm
new bbccabc Clarify and clean up example
new 0749e57 Remove print in Hungarian tests
new 41438e0 Consistency for floats in consensus score
new 56d9728 Add warning in private _Hungarian docstring just in case
new 0442d00 removed plot_ from newsgroups example file
new 76ae2fa import biclustering methods in sklearn.cluster and sklearn.metrics.cluster
new c0a0e31 ENH make spectral clustering test more stable to random seed
new 95d9c63 FIX: imputation example
new 0bbd57b Merge pull request #2229 from larsmans/kernel-center-narrative
new 04c132b remove negative indices from neighbors cython code - use X.ndim - k instead of -k for indexing
new 88fd230 MAINT charset is deprecated in favor of encoding
new 6f030d9 ENH add return_path in orthogonal matching pursuit
new 31c6ff5 TEST for omp path feature
new 372ca22 ENH OrthogonalMatchingPursuitCV estimator
new cc4b4a1 DOC : docstring fixes
new bad0538 DOC : more docstring fixes
new e417221 use pre_fit in OMP
new 4ce4863 API : deprecate a lot of extra parameters in OMP object
new 1e408aa API : deprecations in orthogonal_mp
new a6cb736 ENH : update example of OMP
new c4df8ed FIX respect conventions in OMP init
new 4d3a7ff update what's new + classes.rst
new 8c9dbc9 TST added tests for encoding/charset deprecation
new 7dae356 Merge pull request #2230 from pprett/neighbors-segfault-fix
new 0498af7 DOC better deprecation warning messages.
new a29392e TST catch deprecation warning in feature_extraction.text
new 11a0c28 Merge branch 'pr/2246'
new 8367727 COSMIT
new ef1d3bd Added GraphLassoCV changes to whatsnew.rst
new d634db8 [DOC] Corrected errors in clustering documentation
new a4fa80f [DOC] fixed a typo in an warning message.
new de86e97 Merge pull request #2241 from arjoly/grid-cv-multioutput
new 9ad4e8f One more typo fixed
new 7dd738a Merge pull request #2247 from pgervais/docfixes
new 2109b1b ENH consistency mse=> mean_squared_error ari => adjusted_rand_score
new bc7571c FIX docstring
new 0da99d4 FIX hopefully fixing travis.
new a4e53a6 FIX hopefully fixing travis.
new 86d7afb FIX OrthogonalMatchingPursuit normalized twice
new a8f5b04 DOC correct/copyedit linear model docstrings
new a48207c One more Python 3 fix in feature_extraction.rst
new c9df3ad Update what's new
new c1c9e6a BUG: fix some numpy 1.3 compat issue
new e63bc7a BUG: numpy 1.6 compat
new 3abd51b :
new daa051e Py3 fix
new dd097e7 DOC improve svm sample weight example
new c257543 DOC improve documentation of sample_weight, add to docstring.
new b54ecb6 TST small improvement of test for sample weight in svm
new 006c434 BUG: fix kde tests
new f7555a1 DOC add missing links to the scorer and classication section
new 9f8eb14 TST better testing of the PLS module
new 9d85c99 FIX PLSSVD now returns the correct number of components
new f08ee94 COSMIT small documentation tweaks
new dc7091b Add pycharm files in .gitignore
new 01e99d0 cosmit typo
new d8e00eb ENH add multioutput support to KNeighborsRegressor
new ee514a9 ENH add multioutput support to RadiusNeighborsRegressor
new 85f4905 ENH add multioutput support for KNeighborsClassifier
new 9a1c010 ENH add multioutput support to RadiusNeighborsClassifier
new aeaffe5 DOC + example with multioutput regression face completion for knn
new c6fa3a0 ENH allows make_multilabel_classification to return label indicator format
new 351784a ENH TST grid search with multioutput
new 7e3f7ba ENH TST random search with multioutput data
new 60267d2 DOC gridsearch support mulioutput data
new 9fbc072 TST cross_val_score with multioutput data
new 2be42f0 DOC more information about which classifier support multilabel
new 629483d DOC unveil that some estimators support multilabel classification and multioutput-multiclass classification
new f4eded6 DOC overall improvements
new def7af6 pep8
new 387951d DOC credit + fix typo + wording + use mathplotlib.pyplot
new e25abf7 ENH take @glouppe comments into account
new 1d6ce2c FIX small title issue
new 2f71e90 DOC update what's knn and radius-nn support multioutput data
new 44f454c Merge pull request #2258 from NicolasTr/ignore_pycharm_files
new f4fe3fd Show 95% confidence interval, not 40% confidence ^^ Closes #1940.
new 7b6a808 FIX whoops sorry!
new 4a60dcf fix pycharm file ending
new ec6057a Imp splitting of preprocessing.py
new b8201b4 Imp splitting of test_preprocessing.py
new 15984d9 Del unused imports in preprocessing + pep8
new bc36ad0 Fix imports
new 9cb320d Imp move OneHotEncoder to preprocessing/data.py
new f713996 pyflakes and pep8
new 0db387f MAINT: update copy_joblib script
new 107a0c8 ENH: update joblib to 0.7.1
new 7ba0d27 MAINT: misc change to copy_joblib
new 1c133e8 ENH add "make_y_1d" to utils, use it in estimators where needed.
new 1cc1147 fix make ``make_y_1d`` save for lists.
new d8f90d1 use column_or_1d, move it to utils
new 32c1fc9 Fix self.statistics_ souldn't be set if axis==1
new 2c02ab0 FIX inline rand_r to fix build on Windows
new 30f06b1 DOC add an extremely simple classifier code example to dev docs
new b661cb7 DOC ignoring gen_rst's parsing errors
new 8d5e142 Fix use of self
new 66acf36 Merge pull request #2262 from NicolasTr/fix_statistics
new 620ce4a ENH added multiclass_log_loss metric
new 808799c ENH rewrite multiclass_log_loss, rename log_loss, document it
new d0474ae ENH Scorer object for log loss
new 377c61e ENH add log_likelihood_score as -log_loss
new 7164e33 BUG: add new preprocessing module to setup.py
new 8f4d076 Merge pull request #2264 from jakevdp/setup_fix
new 8fe7121 ENH: make bdist_rpm work
new 32eb8b5 ENH rename eval / pseudolikelihood to score_samples
new 857f918 PY3 new overfit prevention stuff in 20newsgroups loader
new f072108 FIX: remove blank lines
new 5796359 fixing ridge and label binarizer... I'm pretty sure that worked before?
new 090ba25 FIX make neighbors y prediction shape consistent
new fd8bef9 TST add regression test for label_binarizer
new 2c5ea34 More explicit tests in test_label_binarizer_column_y
new 0bad1ab fix: check for impurity ties
new 572600b added 32bit 64bit equality test case
new 961ac0a adapt OOB regression test to change in tree module
new 71e59b7 Use epsilon=1e-7
new 25b5b96 FIX bug in f_score with beta !=1
new d6d876e FIX formula inversion for sample-based precision/recall
new 16a409a FIX set same default behavior for precision, recall and f-score
new 94ba088 ENH raise warning with ill define precision, recall and fscore
new cdfaa82 Backport assert_warns and assert_no_warnings from np 1.7
new d62b21c TST test warning + ENH Add warning average=samples
new 76bc601 FIX TST with warnings thx to @jnothman
new b9593f8 flake8
new 5a1c565 ENH set warning to stacklevel 2
new 1fad3e8 TST silence warning
new fc22665 ENH use with np.errstate
new 2660a3b DOC TST correct comment
new 1fb634c FIX warning test
new 43bff76 FIX warning tests in preprocessing
new 3a0af03 FIX: partial dependence test
new 0c82974 FIX/ENH make StandardScaler convert int input to float and warn about it, instead of warning and rounding for dense and crashing for sparse.
new 8b54e23 DOC adjust docstring as suggested by @gvaroquaux
new 47c9a07 addressing @ogrisel's comments: catch warnings in test, no unneeded digits
new 5a1fde1 COSMIT fixing some unused imports, adding stuff to __all__, and light pep8 (not all whitespace to make rebasing less painful)
new 12d1b66 TEST: skip test_oob_multilcass_iris for now
new b9cc3a7 Catch expected warning in sklearn/tests/test_naive_bayes.py (part of #2274)
new b3ab5fa Merge pull request #2277 from glouppe/tree-fix-32bits
new 206d227 Use projected gradient solver in transform to support sparse matrices
new ae74c9d Use same parameters when solving the transform
new 7aac367 Use scipy.nnls.optimize for dense data
new a9a51e2 Revert "Catch expected warning in sklearn/tests/test_naive_bayes.py (part of #2274)"
new 6ff5d97 PY3K remove __pycache__ in make clean
new 60f40e4 neighbors numpy1.3 compat: fix typedefs, regen with cython 0.19
new b793231 numpy 1.3 compat: use explicit type definitions
new 318955d numpy 1.3 compat: make neighbors/dist_metrics compatible
new 525398c COMPAT: empty_like does not have a dtype in np 1.3
new fb12a48 COMPAT: make NeighborsHeap compatible with numpy 1.3
new 97c9252 COMPAT: make NodeHeap compatible with numpy 1.3
new ca60af5 COMPAT: make BinaryTree class compatible with numpy 1.3
new 56f5f19 COMPAT: make BallTree & KDTree compatible with numpy 1.3
new 926a7fd COMPAT: last few BallTree/KDTree numpy 1.3 issues
new e97c266 COMPAT: fix arpack and pls on old scipy/numpy
new 3edb5b1 COMPAT: string formatting syntax in Py 2.6
new 8ec572d COMPAT: median and nans in old numpys
new 62cd4a2 COMPAT: no assert_warns in np 1.3
new 0ef0804 FIX PY3K warning.catch_filter set record
new ef2a17b FIX PY3: list and tuples cannot be compared in Python 3
new dd23eea Py3: fix version comparison in imputation module
new 8dd37ab DOC fixing some sphinx stuff.
new de3866c DOC SGDClassifier has multiclass predict_proba
new 8d47341 DOC minor copyedit to narratives
new 52efd9e FIX don't use old scoring API in randomized search
new e647ac8 Add supported python versions to the classifiers + fixes
new 88b7e84 Merge pull request #2280 from larsmans/randomsearch-scoring
new 429ec5e Merge pull request #2281 from ogrisel/improvements-to-setup-py
new f2643c8 Add failing test for libsvm random state proba
new 89a58cd FIX support random state in libsvm
new 44dd09f DOC document changes in LIBSVM_CHANGES
new 2d97949 DOC update docstrings to reflect libsvm random_state
new d65de5e Fix libsvm seed when predict_proba in tests and examples
new ed4c11b Clarify and make libsvm random seed more consistent
new c1bab14 Comment predict params in libsvm
new 3009a85 more sphinx fixes
new 1904494 DOC reference and rename cross decomposition module
new f218fce ENH: add failing test exposing bug in RandomizedPCA
new 86d96ce FIX: only center if copy == True
new 09da6b5 ENH: get it right.
new ed0fba3 FIX: inverse_transform; tests
new 45046fb DOC better doc message
new 94dad56 API: get rid of **params in PCA estimators.
new d229ac7 DOC: more doc string fixes in pca.py
new c5f4fa7 DOC: more fixes in pca.py doc strings
new 544cba4 STY: get rid of unnecessary identifiers
new 3453739 FIX: X.copy() test now works
new 27370de STY: removing unnecessay import
new bbb7b25 COSMITS
new 0682711 COSMIT: typo in examples/imputation.py
new 505bc21 BUG: fix Py 3
new b669f82 Sample compiler config for windows
new 7271d53 Force stdc++ link for the windows build
new 7ad2bf2 Regenerate pairwise_fast.pyx with recent cython for windows build
new 43b3698 Fix atomics definitions under windows for sklearn._hmm.pyx
new b65e882 typo
new c9f3e01 Refactor loss_func and score_func warnings in grid_search
new 31ae3ca Add score_overrides_loss to _deprecate_loss_and_score_funcs
new 93ef065 Add deprecation warnings in Ridge
new 11dfe44 Add deprecation warnings in rfe
new eae4fab Add catching of the deprecation warnings in rfe and ridge tests
new c16da08 Refactor loss_func and score_func warnings in cross_validation + replacement in two examples
new 45d65c1 Fix 'scoring' docstrings
new e77e210 Imp documentation
new 2918015 Fix tests
new 55ca021 Fix grid_search.py example
new b898edd Fix tests
new 83e952d DOC fixed the optional arguments
new 6e9498f Update multiclass/multilabel documentation
new c1d7666 DOC overall improvements in the multiclass documentation
new 9ec7d05 DOC take into account @vene and @ogrisel + specify format for multioutput-multiclass
new b79005a DOC rewording
new 57ec891 Typo
new 886754b DOC ENH take into account @NelleV comments
new eb068a7 DOC more comments from @NelleV
new 1d846c8 first try at bootstrap-based website
new f0ef902 "fix" sidebar stuff - this was not my idea
new 32d0f67 remove gray boxes around h3 on the two new pages
new 5ac91a5 put banner into header, make it spread over whole page
new 00edac0 FIX added some descriptions to each categories in the main webpage
new d3b75d5 FIX spelling mistake
new 1e30f72 FIX the css in the API
new c8771b6 Fix link to flowchart, add text descriptions.
new f7f01dd Minor fixes in front-page text, css
new 2f3edc6 rework front-page box texts
new 1857762 fix typo, missing p
new 4bba215 fix and refine some css and html tags
new 4b3c3fb ENH added the fork me ribbon to the website
new a1f308d add example banner image
new bd20a8d Mr. Proper, act 1
new 282fa3b add section, estimator and model links on the frontpage
new 4204586 fix styling of rst links
new f4c306f Banner improvements
new 0388b32 add links for examples
new 5b92394 Banner style
new a32e345 fix css that I just broke with the sphinx links
new 211e538 flatten the tutorial / doc structure as proposed by @ogrisel
new d2fe4ae Boxes on front page
new cc0ce1a add js for collabsible toc tree in the user guide.
new 7d18010 minor typo thing
new 1e1336e don't have old version warning on install, as that will be shared across all versions.
new 7fe5383 sidebar fix - sidebar.js was called before jquery. works fine under new version jquery too
new 7169c45 DOC: invert priorities bootstrap <-> nature.css
new 80c8f3c DOC: sidebar lighter
new 6ed33dc Load bootstrap first
new a504463 FIX: footer character encoding
new 294125c CSS tweaks
new 96bd061 CSS tweaks (2)
new c1c093d sidebar/toctree harmonie, must still fix toggle
new 1b86a84 WEB added testimonials
new a821ccb jquery reverted to 1.7.2 version. sidebar/toc-collapse works
new 81a363a Lower part of the index
new 3ae6c62 DOC fixed the previous/next button
new 0a117e4 CSS tweaks
new 9ea3755 More css tweaks
new b5ac978 Better alignment in the sidebar
new bce901b CSS tweaks
new 654edd2 More css kungfu
new 3b0b889 CSS stuff
new f8f3f9d Remove testimonials for now
new f9943af DOC fided the collapsable sidebar
new 5066f1e added "show source" link to footer, made dimensionality reduction examples link to decomposition
new 96c9e51 slightly hackish way of inserting a whatsnew link. I really don't want all the sphinx containers here, though. Asked on stackoverflow about it btw.
new e491472 a little less ugly footer. @glouppe should maybe have a look ;)
new 653a2ac DOC dropdown menu works
new da33442 CSS tweaks
new f23cb42 Donate button + citing
new 678b595 Enhance contrasts
new 750989d Contributin
new 2f6a670 Remove toc on the API page (it is already in the sidebar)
new a833e7a make links to old versions actually do something (currently link to the user guide as the other versions are not rebuild yet). Add developers guide section.
new 6e30189 replaced lorem ipsum in news. still a draft but whatever.
new c3b52f7 nicer dates
new f9ad532 FIX use category and stacklevel=2 for {loss,score}_func
new c95842d Use extra_link_args for -lstdc++
new db5b867 Ignore compiled shared library files generated in the source tree under windows
new 2531fb4 ENH speed up BernoulliNB's predictions
new a3c3057 FIX raise tolerance in svm predict_proba test
new d4e9b8e FIX minor edits on the website
new 5c3fa68 DOC "creating features" -> "feature extraction" + minor stuff
new 71f3b4b DOC fixed z-index on the website
new 0292f14 Try to raise and test warnings.
new 652a873 ENH: add a new DataConversionWarning
new ae23b19 Make common PLS tests more stable
new 89886e5 Revert "ENH add log_likelihood_score as -log_loss"
new c57858c DOC added website to whatsnew, added link to github for Nelle
new c7c7ade FIX don't use old API in examples
new be62aa9 more fixes for docs, deprecated interfaces
new d1c51e3 FIX made the building of the docs slightly more robust. readme files in folders without examples kill it otherwise.
new 04f7d49 DOC copyedit example docstring
new add1e12 DOC XHTML fixes (unclosed tags, type="text/javascript")
new b3eddb7 FIX website layout on small screens
new d29719f FIX improve display on small device
new 7e1bb89 DOC fix dropdown menu
new b5e0674 try to fix the toctree in a semi-meaningful way.
new 26eb3c6 DOC/EXAMPLES fix more documentation errors, deprecated api usages.
new 75af99e EXAMPLES remove non-existing example from doc, don't trigger deprecated interface in enet_path, lasso_path
new 716fbb0 much better input validation, test that warning is raised on (n_samples, 1) y
new 2c10151 FIX: sidebar.js
new 880762a Move Google javascript near </body>
new e0e900f Merge pull request #2293 from amueller/warning_input_shapes
new 74ec752 ENH speed up logistic_sigmoid (using less code)
new b0035bf Rename cv_scores(_) back to grid_scores(_) to keep the name free for a future refactoring
new 2df651b Merge pull request #2299 from ogrisel/grid-scores
new 9bffc8f MISC: fix plot_multilabel example
new 17ecff2 FIX make BaseSGDClassifier an ABC
new 1f78b89 Merge pull request #2295 from larsmans/fast-sigmoid
new 06a68ee BUG: type->dtype in a cross-platform way
new 76e1e86 compute offset in a cross-platform way
new a15d5cc BUG: don't subtract offset in binary_tree
new fbc21a8 add explicit types to neighbors cython code
new 5824bc2 WIP: explicitly mark all base classes as ABC with abstractmethod inits
new 3be787e Add concrete __init__ for LinearSVM
new 44646da Add concrete implementation for SGDClassifier
new 742b416 DOC Remove deprecated reference + acknowledge @larsman
new 4e56ff0 BUG: implement concrete __init__ for SGDRegressor
new d99bd2b BUG: tests were raising the DataConversionWarning
new 0b04d3c Merge branch 'pr_2304'
new 92b544f Update typedefs.pxd with correct ITYPECODE
new 8533d7c MAINT: recompile Cython files
new 9c1bc1b DOC: add whats_new on the news
new 203ee3d FIX for MSVC inline fmin, fmax and log2
new e4a5444 FIX for MSVC inline fmax in dist_metrics
new 11d1810 rearrange permutation_score parameters to match previous ones.
new c4e1f56 TST: adjust test relying on change order
new b5c1490 Add LibSVM random state to changelog
new e3a764d FIX backward compatibility was broken
new 89011e3 MISC: deprecate balance_weights (it's internal)
new fc0b766 REL: 0.14a1 Release candidate for 0.14
new e24af1e What's new: put major 0.14 additions in first
new 401668d Ignore the generated MANIFEST file
new 8fb2e7c Fixed a typo in a contributor's name
new 8ea2f26 Fixed a typo in a contributor's name
new a906f52 Also clean the dist folder when calling make
new 937b06a Add missing credit to @smoitra87 for the Python 3 support
new 0bc1737 Re-align the what's new file with the new ordering of items from master
new a186bc4 DOC fix comment on svm probability param
new 529655e partial_fit for naive Bayes was done for 0.14-rc, not 0.11...
new 1ae93a2 partial_fit for naive Bayes was done for 0.14-rc, not 0.11...
new 3441e8f Ignore the generated MANIFEST file
new ad48e84 Also clean the dist folder when calling make
new ec47860 DOC fix comment on svm probability param
new 7048837 DOC Update what's new
new 855a753 Merge pull request #2324 from arjoly/missing-contributions
new 5cc1660 DOC Update what's new
new b1f9f11 DOC added link from banner to example.
new e91b23f DOC added link from banner to example.
new bc785f8 DBSCAN BallTree implementation
new c30a062 fix and squash broken branch, remove all but section 3 and redo some docstring breaks
new 3dd6a4e DOC now building to html/stable
new e39759a DOC home always points to stable
new 8229823 fix broken directory name
new e917a39 Merge pull request #2329 from NelleV/website
new baf7b77 DOC credit to @ephes and myself for log loss in metrics
new 728e61a MISC: update whats_new
new 8f493d9 MISC: fix reference to example
new 5ebf551 DOC: DBSCAN misc doc formatting
new 1467fb2 DBSCAN BallTree implementation
new 9512d32 DOC credit to @ephes and myself for log loss in metrics
new 9091c93 MISC: update whats_new
new 96a2a66 MISC: fix reference to example
new b6c1555 DOC: DBSCAN misc doc formatting
new 98b95ca DOC fix example comments
new 5b178e8 FIX: remove dupplicate entry in What's new
new 1cb9f2c FIX: remove dupplicate entry in What's new
new 750d88d ENH/FIX: improve logcosh function + tests
new b65ab86 FIX/ENH: revert changes, improve doc
new 55a92e7 FIX: 80 characters
new 9a4080e COSMITS
new b4555cb COSMITS
new 421f2be COSMITS
new 953bebf ENH: address discussion
new 5bb8da1 ENH: use empty, not zeros
new 96dcfd2 COSMITS
new 2b60c81 Merge pull request #2290 from dengemann/more_ica_improvements
new 1f20ec2 DOC: few small doc fixes to layout bugs on new website
new 54da506 comments added to the changes
new b236030 FIX : backport tanh out param in old numpy
new 5cadbe6 DOC typos involving Nyström
new a6f91b3 revert the tanh fix
new 2119c75 Merge pull request #2331 from jaquesgrobler/master
new 12a7545 DOC: few small doc fixes to layout bugs on new website
new c4e5165 comments added to the changes
new 7def601 fix sidebar button size staying constant and leaving a mountain of white-space due to expanding/collapsing toctree
new 3fa71e9 fix cut-off ML map
new 444a536 DOC now building to html/stable
new 0aad47c DOC home always points to stable
new c23bb69 DOC: also point installation menu to stable
new e24a307 DOC: also point installation menu to stable
new 5eab030 DOC copyedit SGDClassifier docstring
new c9ba2c3 DOC copyedit SGDClassifier docstring
new 4644209 BUG: FIX Crammer-Singer formulation in the binary case.
new d71b013 Merge pull request #2336 from jaquesgrobler/DOC_fix_whitespace_on_userguide
new bd64ec3 Better test for auc_score.
new 053723c Optim for Crammer-Singer formulation in binary case.
new 80b0bfe Completely avoid for loop in _auc.
new a390a07 commit added for hack-warning
new 4da05d8 Merge pull request #2337 from jaquesgrobler/DOC_fix_cut_ML_flowchart
new 3c257fd ENH : simplify ProabilisticPCA covariance_ computation + misc in pca.py
new ed936e5 ENH : avoid extra alloc in _infer_dimension_ in pca.py
new b1098b5 FIX : self.component in PCA was changed by fit when passed mle or explained variance
new 238b330 ENH : avoid extra allocation in FactorAnalysis
new ab25660 ENH : use math.log and not np.log for scalars
new 801e770 doc fix
new 88dc9f6 misc
new 20a8072 FIX : broken fit_transform
new fd60787 Merge pull request #2338 from agramfort/pca_cleanup
new 4b658aa DOC add link to fetch_covertype to covertype narrative docs
new 2c48bad DOC improve docstrings in sklearn.base
new 0872592 Merge commit '0.14a1-20-gc9ba2c3' into releases
new 9a44eb3 Merge commit '0.14a1-239-g0872592' into dfsg
new 1e6e59a Merge branch 'dfsg' into debian
new 72a8de1 changelog entry
new 3898ece Converted Markdown style link to restructured text
new d34120b Merge pull request #2345 from rgbkrk/patch-1
new 07c15de Typo.
new e387e7c Converted Markdown style link to restructured text
new bec85af MAINT: remove sklearn.test()
new 987e2a0 MISC: deprecation notice
new 276af2a first carousel version added
new 49a8344 firefox fix and more images added, auto-cycling disabled
new d5590d0 arrows switched for dots
new ab88461 have images link to relevant examples
new 5074c04 slight layout adjust
new e0f5c66 debian/control - python-imaing to build-depends (for documentation) and removed not needed XS-DM-Upload-Allowed
new 1962149 small layout changes for firefox, images taken from generated images now
new 32b6dc1 indentation fixes
new 910aa98 add more examples and cropping to first image
new 8c07e8b disable carousel for small displays, small tweaks
new 7c6e398 Let's upload to experimental for testing
new 5709b79 DOC: reduce the number of examples
new 49a416a first carousel version added
new 21b51fa firefox fix and more images added, auto-cycling disabled
new 4876f68 arrows switched for dots
new 9c6e849 have images link to relevant examples
new 5bb0097 slight layout adjust
new c5c7901 small layout changes for firefox, images taken from generated images now
new af6c2ad indentation fixes
new 12e07ea add more examples and cropping to first image
new d06abca disable carousel for small displays, small tweaks
new ae055c0 DOC: reduce the number of examples
new 6b1fbba MAINT: remove sklearn.test()
new 9c1a577 MISC: deprecation notice
new d4c3940 Typo.
new 7078f3f DOC add link to fetch_covertype to covertype narrative docs
new 47e390e MISC: document sklearn.test deprecation
new b4e22b6 ENH: custom distutils clean command
new b317121 MISC: document sklearn.test deprecation
new 855bc9e ENH: custom distutils clean command
new f72d803 ENH added an orange cite us button on the front page
new 113be0c FIX cite us buttong made blue bar span too much
new 4a01681 DOC added testimonials
new 7073c67 FIX forgot evernote's logo
new ad51c5a ENH added telecom to the testimonials
new c7cd047 DOC updated evernote's testimonials
new 2f7c944 ENH added AWeber's testimonial
new 5320633 ENH added carousel back on front page for testimonials
new b2af93e ENH better spacing on the first page
new 8a920fc ENH testimonials img are now centered.
new ec0f575 FIX typo in testimonials
new e8cbe20 Polishing on "Who's using scikit-learn"
new bfa656b DOC: layout tweaks
new ad0ae75 ENH added an orange cite us button on the front page
new 17707b2 FIX cite us buttong made blue bar span too much
new 73e20ae DOC added testimonials
new 6c79db7 FIX forgot evernote's logo
new 8395f70 ENH added telecom to the testimonials
new 3cad446 DOC updated evernote's testimonials
new afa7345 ENH added AWeber's testimonial
new 3a5248d ENH added carousel back on front page for testimonials
new c1d91d7 ENH better spacing on the first page
new f98e54f ENH testimonials img are now centered.
new 002fda7 FIX typo in testimonials
new 222fee3 Polishing on "Who's using scikit-learn"
new e143f68 DOC: layout tweaks
new 10fcbdc DOC: bigger menu fonts
new dc94662 DOC: bigger menu fonts
new a25e436 merge conflict fix
new 9b5dff1 redo old deletions
new cf73a9e ENH more explicit name for auc + consistency for scorer, fix #2096
new 06be306 DOC put the narrative documentation of roc_curve and roc_auc_score in one place
new 47a6624 FIX search and replace misstake
new 19a3316 Website: bottom buttons
new 0d3413c DOC: button layout tweak
new b6be7bd Website: bottom buttons
new c69201a DOC: button layout tweak
new 4cb0024 Merge pull request #2348 from arjoly/deprecate-auc_score
new 1f0815b ENH more explicit name for auc + consistency for scorer, fix #2096
new ef3da88 DOC put the narrative documentation of roc_curve and roc_auc_score in one place
new 5902a9e FIX search and replace misstake
new e0f288f contributors logos added to index screen footer
new 5dda942 changed hyperlink to funding anchor - added same for the images
new c2f828c old footer removed for index page
new f953723 removed little underscores appearing between images - caused by link added to images
new 5637fb2 TST: avoid a crash in Windows + Anaconda Py3.3
new 1748d0e TST: avoid a crash in Windows + Anaconda Py3.3
new d518171 FIX integer types in Ward clustering
new c2b8b5d FIX integer types in Ward clustering
new 372f59e MISC: fix wrong timing in example
new 2943786 TST: avoid nose running sklearn.test as a test
new c3bcbbd MISC: fix wrong timing in example
new 6bb4cd7 TST: avoid nose running sklearn.test as a test
new f67b21c MAINT: randn on float is deprecated
new a6439d8 MAINT: randn on float is deprecated
new 33cf98c MISC: deprection is in 2 releases
new 921b29f MISC: deprection is in 2 releases
new d8bd3d3 DOC: update documentation for release
new 5e95e40 DOC: fix CSS bug
new 56fa23c DOC: fix CSS bug
new 6f6a3fd MAINT Update mailmap
new 95e433c MAINT Update mailmap
new d13928c REL: 0.14 release: update whats_new and version
new 4323c11 REL: update whats_new and version
new af5e297 MAINT/DOC: bump docs and rev numbers to 0.15-git
new 3d68c33 DOC: link to documentation, not main page
new 934108b Merge tag '0.14' into releases
new 608cd63 Merge branch 'releases' into dfsg
new 631b7c8 Merge branch 'dfsg' into debian
new ff2608a fresh changelog
new c8cbd9c DOC: link to documentation, not main page
new 9202d52 refreshed joblib patch
new 475aaeb debian/rules - overload dh_auto_clean to call "clean" without -a (see https://github.com/scikit-learn/scikit-learn/issues/2351)
new 5cb9f5a debian/control - require sphinx 1.1.3 due to problems with unicode in earlier present on older Debian/Ubuntu's versions
new 9285800 multilined Build-Depends
new 2722755 dropping swig from build-depends
new 314f296 ENH: Move sphinx&Co to build-depends-indep
new 36cde78 boost policy to 3.9.4
new 43005e7 dropping use of python-support
new 70ff5e8 Update my URL.
new 40b42e1 Added unit tests for parameters in isotonic regression
new 4dbc33c Fixed style issues as indicated by pep8
new c71685e Fixed passing y_max and y_min to IsotonicRegression in test_isotonic
new 508f82b MISC : pep8 and pyflakes on test_isotonic.py
new 60da310 MAINT deprecated ENet param used in doc and benchmark
new a82b315 MAINT remove deprecated parameters (the easy cases)
new fcc6c54 FIX rm spectral_embedding import from sklearn.cluster
new 4ee4fe6 MISC: switch line returns back to unix
new 8546776 BUG: restore setup.py clean functionality
new 34c4908 REL: Release 0.14.1
new 34b8592 RF: simply do not build sphinx documentation on systems with older sphinx
new f6c0bd6 Merge tag '0.14.1' into releases
new cd6d7d2 Merge branch 'releases' into dfsg
new 18579d5 Merge branch 'dfsg' into debian
new 264de0d The freshiest upstream release - addressed 'clean -a' issue, thus removing the dh_auto_clean override
new 980a8a6 if available cython >= 0.19 -- re-build Cythonized sources while monitoring for changes using dh_autoreconf
new 00871e3 DOC typo
new af549f2 FIX + COSMIT Reuters out-of-core example
new 4e8ac10 FIX py2.6 compat in biclustering example
new 31ad968 MAINT remove Counter from fixes; no longer used
new 90988fd [DOC] Remove that RBM's are not implemented yet
new 500f30f Merge pull request #2361 from rolisz/patch-1
new 1627a92 COSMIT refactor Hungarian algorithm
new 40683d5 DOC while we're at it, link to our own RBM docs
new 69f49b1 FIX: release reference to X in _tree.splitter
new 68478ef Merge pull request #2363 from glouppe/tree-memory
new 2efa979 DOC: fix metrics documentation format
new c2cf21d FIX+TST non-consecutive or duplicate vocabulary indices
new c041d69 Better docstring for KMeans.predict.
new 211944a Move estimate_bandwidth test to its own function.
new 130729b Add predict method to MeanShift.
new ce1fdf2 Add predict method to AffinityPropagation.
new c5dd039 Add missing docstrings to test functions.
new 0551acb Add what's new item.
new e3596a0 Remove warning in AffinityPropagation.
new 1ac7c58 Fix grid search test.
new 789acd6 More user-friendly error message.
new 057db3b COSMIT: change variable name.
new 2aa3e58 DOC adding description for handling of the auto parameter in neighbors
new 73de584 Added cosine distance metric for sparse matrices
new 1428f6d added missing assert in unit test
new fc91c33 Fixed doc string; compute cosine distance without copying matrix.
new 41d0fb8 DOC make DictVectorizer docstring refer to FeatureHasher
new b46ea71 FIX remove warnings from univariate FS
new 81c8557 DOC: Simpler cross-validation iterator doc
new dcf827e Merge pull request #2368 from emsrc/cosine_distance
new 9033baf Merge pull request #2369 from larsmans/no-warnings-in-fs
new 36ba287 TST: fix test on scipy dev version
new 006a6cb ENH add VarianceThreshold feature selection method
new 23d2b98 Add .bmp sklearn logo of correct width for Win setup
new 88a9e41 2-fold => 2-fold cross-validation
new a43e309 approximately the same percentage of samples
new 23e9e1e Remove spurious print statements in sample snippets to make the doc easier to follow
new 7426ef3 Lowercase y and more consistent blank line usage
new d334176 MISC: switch line returns back to unix
new e7a9331 BUG: restore setup.py clean functionality
new 1175352 MISC: fix rst
new 2ddea88 Updated with more explanatory text. Also changed to use train_test_split function
new 716bece Corrected some typos, and added more explanation for the precision recall example.
new 3af3bb2 Clarified a few wordy sentences
new 392866f Attempted a clearer explanation of precision-recall score
new 5e3bc74 Adjusted to fit 80 character columns, and corrected definition of precision
new bf946fd Removed random_seed argument to svm.SVC
new c7d0112 Added contributions to whats_new
new 4168576 Further expansion of the precision_recall curve explanation, spelling corrections, and general cleanup.
new 56f0b86 Added random_state argument to svm.SVC
new 8b2d9eb Added links to cross_val_score, auc_score, and recall_score
new d811298 Added link to precision_score
new f066c52 Updated whats_new and fixed a typo in plot_precision_recall.py
new d085b85 WEBSITE add yhat testimonial
new 8ecd509 DOC: missing documentation of splitter parameter in tree.py
new 257e100 Merge pull request #2385 from ndawe/tree
new aa251cd DOC: removed duplicated Python 3 section
new 12c44b7 DOC: docstring for predict_log_proba was wrong
new 8c21817 Typo
new b952cdb GBRT checks if ``loss`` is in self.supported_loss
new fd3a816 renamed supported_loss to _SUPPORTED_LOSS (constants) add test for deprecated warning
new f2f67e2 Merge pull request #2308 from pprett/gbrt-check-supported-loss
new 3d01cf5 COSMIT: fix docstrings in affinity_propagation
new 2240e44 ENH: add fast_dot function
new 19e0401 employ DataConversionWarning
new 3f3fb83 FIX: avoid zero-dvision warnings
new eeaa6e1 FIX: fix test warning
new bf16551 better handling of warning in test
new 67ceee1 COSMITS
new e98d1cc FIX: workaround for missing BLAS
new 5a3a432 ENH: return np.dot if ndim does not match
new bc15f30 CLEANUP
new 69fc297 FIX: remove spurious test
new dbc751f ENH: add fast_dot shape check
new dcd6292 ENH: cover another cornercase + fix messages
new b86f3d5 ENH: add new Warning class, improve tests, update docs
new f36cba5 FIX: superfluous check
new 6c30677 ENH/DOC: add performance tips on fast_dot
new 005d210 COSMITS
new f6a1c5a update what's new
new 7808e09 FIX: proper doctest
new 1322da9 ENH/FIX: address @ogrisel comments
new c9ff080 FIX: move inline comment to its right place
new 83f48e4 FIX: performance.rst doctest
new f91fba2 ENH: restrict fast_dot to np < 1.8
new d5c3933 ENH: add single_linkage
new d393f48 ENH: single linkage with Cython
new 9149b1c ENH: speed up single linkage
new 4cd9c49 ENH: start of complete linkage
new 6bae11f ENH: first sketch of weighted linkage
new df8ccf7 BUG: fix bug introduced in Ward
new 8674fd4 ENH: add average linkage
new 30bedca BUG: remove debug print
new 3e54eab WIP: MST for single linkage
new 35bc01a Cosmit
new 49954dc MISC: refactor Ward and linkage in same object
new 5a5d944 ENH: hierarchical clustering example
new 4fdd3ee DOC: nice hierarchical clustering example
new 4333ec7 API: rename to agglomerative clustering
new 8daa93a Add cython code
new 6ff6b34 MISC: manual merge of master
new 965a742 MISC: Take in account @NelleV's comments
new e2f0314 FIX spelling mistakes and whitespace nitpick
new b8b78d5 PEP8 fixes on hierarchical.py
new 912ea55 ENH improved the documentation of the fix_connectivity function
new 1e61f4d FIX deprecated the copy arguments in hierarchical clustering
new 0e9e579 FIX a convert on list was applied twice on the inertia matrix
new aa216b3 DOC added the docstring to linkage_tree and AgglomerationClustering
new cf397fb ENH Removed copy option and deprecation on new functions and classes
new 108271f FIX spelling mistake
new 54897c9 MAINT deprecated ward class
new 73591a1 TEST test that ran with ward linkage now also run with average and complete linkage
new 1b42853 TEST: increase test coverage
new 732003e MISC: move fast_dict to utils
new 0e799b7 DOC small fixes on the hierarchical clustering
new 5924270 DOC improve narrative docs on hierarchical clustering
new 48a5231 TEST FeatureAgglomeration does not behave like normal clustering
new 4109e34 ENH AgglomerativeClutering now supports different metrics
new d3eb06d DOC/TEST improved failing errors and docstrings on metric
new eb54dc3 ENH now used instead of euclidean distance to gain speed
new ad40483 DOC/TEST improved doc and tests on the paired distances
new 795576f MISC: new formulation in message
new b36dcf4 COSMIT: remove unused import
new a8ee6f9 ENH: add single_linkage
new 511748f ENH: single linkage with Cython
new 8cf4be9 ENH: speed up single linkage
new 58d2558 ENH: start of complete linkage
new 3f24dc3 ENH: first sketch of weighted linkage
new 0369c2b BUG: fix bug introduced in Ward
new 88ae7a4 ENH: add average linkage
new 7cd77d3 BUG: remove debug print
new 2eb7e55 WIP: MST for single linkage
new a1c9583 Cosmit
new 3aa9158 MISC: refactor Ward and linkage in same object
new 2077779 ENH: hierarchical clustering example
new 7aa627b DOC: nice hierarchical clustering example
new f95502d API: rename to agglomerative clustering
new 22eda02 Add cython code
new 75a34a2 MISC: manual merge of master
new 017de2e MISC: Take in account @NelleV's comments
new 638d590 FIX spelling mistakes and whitespace nitpick
new 481f7fe PEP8 fixes on hierarchical.py
new e937f4e ENH improved the documentation of the fix_connectivity function
new 057bc27 FIX deprecated the copy arguments in hierarchical clustering
new ed8bc97 FIX a convert on list was applied twice on the inertia matrix
new be8edeb DOC added the docstring to linkage_tree and AgglomerationClustering
new ec08281 ENH Removed copy option and deprecation on new functions and classes
new 7e0aff4 FIX spelling mistake
new 00a4397 MAINT deprecated ward class
new 4352d23 TEST test that ran with ward linkage now also run with average and complete linkage
new cf5b4ba TEST: increase test coverage
new d5ac03c MISC: move fast_dict to utils
new 0f53ede DOC small fixes on the hierarchical clustering
new a45d23f DOC improve narrative docs on hierarchical clustering
new 5688ef6 TEST FeatureAgglomeration does not behave like normal clustering
new 61e1fdc ENH AgglomerativeClutering now supports different metrics
new 2ee7315 DOC/TEST improved failing errors and docstrings on metric
new 805fd1c ENH now used instead of euclidean distance to gain speed
new 3ce669f DOC/TEST improved doc and tests on the paired distances
new 7a9844b MISC: new formulation in message
new 57cc2f1 Merge branch 'hc_linkage' of github.com:GaelVaroquaux/scikit-learn into hc_linkage
new 1eade9a ENH: better error message
new 599ba2d FIX: ghost diff
new fbd6d9c ENH: update version checking
new c70a63d ENH: add the cosine distance to paired distances
new baa8ba4 Merge pull request #2288 from dengemann/fast_dot
new 592e330 ENH: put fast dot to PCA, ICA and FA
new 1a4a167 ENH: different metrics in hierarchical cluster
new ffbead9 FIX: test doc np.allclose
new 9657bd6 Merge pull request #2396 from dengemann/insert_fast_dot
new b62b0d3 tree export_graphviz: remove unused close parameter and close the file if out_file is a string
new e478f27 Merge pull request #2394 from ndawe/export_graphviz
new ef513e3 DOC clarify distances in KMeans' _labels_inertia
new ed846b1 BUG: Remove UTF8 character
new 6dcfe69 MAINT: remove utf-8 headers
new e3583da COSMIT skip some repeated computations in k-means
new 2eddb1a BUG fix whitespace in error messages
new 44003f8 fix: typo - y_pred instead of y_true
new 8811030 Added euclidean_distances_argmin
new a39ea4d Chunking on both arrays in euclidean_distances_argmin
new b8d29de Improved tests for euclidean_distances_argmin
new 148d4a4 Wrote docstring for euclidean_distances_argmin
new e0011e4 [BUG] safe_asarray() converts sparse matrices dtype
new 65a7c79 Used safe_asrray() in check_pairwise_arrays()
new 34bc6b2 Change signature of euclidean_distances_argmin()
new fe76818 Added pairwise_distances_argmin()
new 9c6aab4 Optimized euclidean case in pairwise_distances_argmin
new 5a16ed7 Removed euclidean_distances_argmin
new 85b241c Minor code cleanup
new 1cd73c6 Added gen_batches() to utils
new 8a65ce2 Changed pairwise_distances_argmin API
new 14124ba Code cleanup in pairwise_distances_argmin
new 5626b7f [DOC] Fixed pairwise_distances_argmin docstring
new 711bfd2 [API] Renamed pairwise_distances_argmin
new 220e9d0 [DOC] updated pairwise_distances_argmin_min doc
new 31f0270 Performance enhancement for non-euclidean metrics
new 7fac203 Small fixes
new a54358d WIP
new e8bad3d DOC ASCII only in docstrings
new 41b3ddd ENH speed up NMF (about 30% off topic extraction runtime)
new dedc822 ENH export randomized_svd publicly
new 6a885cc CSR matrix support in pairwise_distances_argmin_min
new 357bad6 Added argument metric_kwargs
new 2d9e41a Merge pull request #2210 from pgervais/distances_argmin
new 54c6bec Revert "CSR matrix support in pairwise_distances_argmin_min"
new cb89679 Use pairwise_distances_argmin_min function.
new 70695ca Use pairwise_distances_argmin_min in examples.
new 3d772e9 Add pairwise_distances_argmin.
new 5ce1ae5 Add tests for pairwise_distances_argmin.
new 959485a fixed visual indentation errors
new bcfcc45 fix indentation errors
new 0f1893d use spaces in indentation
new 34f23a0 fix indentation
new b392afe fix E501: line too long
new 9f60f76 fixed indentation and visual indentation errors
new 93bc883 fixed visual indentation errors
new bd28db2 fixed indentation and visual indentation errors
new 2fefd23 fix for 'line too long' warning
new 200a355 pep8 fixes
new 69d4148 fix indentation and convert tabs to spaces
new eec3a9a fix indentation
new 3e9971d fix too many blank lines
new ca6b42c fix visual indent
new 616dda3 add expected blank line
new 33507a1 fix line endings and visual indents
new fcce303 fix visual indentation
new b0de2e3 fix visual indentation
new b38366e removed unused import from example
new c06fcff Merge pull request #2410 from Balu-Varanasi/pep8_fixes
new b6f4393 Merge pull request #2411 from Balu-Varanasi/remove_unused_import
new c64163f wip
new 841fb88 ENH prettier output from NMF example
new d862bc0 [DOC] Typo fixes in documentation for Novelty and Outlier Detection
new d38b303 Merge pull request #2412 from rolisz/patch-2
new 6ef08cf FIX failing test in NMF due to negative zeros
new b9ca036 BUG: remove remaining utf-8 characters in docstrings.
new 656b506 skip perfect checkerboard test
new 76f64df DOC broken link in HMM narrative
new fd1df8e ENH micro-optimize pairwise_distances_argmin_min
new 2fb55da BUG duplicate finity check in input validation
new d473766 MAINT dedup Brandyn A. White in mailmap
new ceffed1 MAINT remove useless deprecation in sklearn.utils
new 7b14020 BUG rename n_iterations to n_iter in TruncatedSVD
new efa74b4 FIX: renable test_k_means_plus_plus_init_2_jobs on OSX 10.8
new a81d534 ENH: add randomized_svd option to FactorAnalysis
new 467e570 FIX: misc
new 6d41219 misc
new 1e117b2 COMSITS+DOC
new 8651986 ENH: use `algorithm` keyword + expose failing test
new 5a15e0d FIX : fix randomized SVD in FA
new 495e751 FIX: make SVD working again + add tests + update whats new
new 09d925a COSMITS
new a9250af ENH/FIX: misc + address discussion
new 8a97407 COSMITS
new 37724de ENH: add strong comparisons
new 823d702 COSMITS: address discussion
new 69a7421 COSMITS2
new 33e0653 ENH: add check on init + appropriate test; COSMITS
new 1cdbb25 ENH: address discussion + actuall make randomized default
new 110d6d4 ENH: exposed n_iter; add missing fast_dot
new 7ed5d86 ENH: improve wording + recommendation
new 9cfb44f COSMITS3
new 48db715 ENH: add warning instead of print
new 09dbdfa ENH: deprecate `verbose` parameter
new 6b719cf ENH: optimze euclidean norms
new 34bfaf6 Merge pull request #2406 from dengemann/tinker_fa
new 9ad70ea Edit typo
new 76572e8 Merge pull request #2418 from rsivapr/typo-docs
new bef1b19 Merge pull request #2415 from kemaleren/skip_checkerboard
new 0a8a6a1 ENH : add score to PCA from ProbabilisticPCA
new f9478b1 API : deprecating ProbabilisticPCA
new cb766fa misc
new c09267e typo
new 0fdd7ab ENH : make PCA scoring work with n_features is big. Avoid covariance computation in PCA.fit
new 691c9e6 DOC : remove reference to ProbabilisticPCA in doc
new a3c6e61 update what's new
new 615d2da FIX : do not store precision_ attribute in score method
new 68a4def ENH : add get_precision method with matrix inversion lemma to PCA for faster scoring
new daca399 ENH : add tests for get_precision in PCA + some fixes for corner cases
new 1be9335 ENH : add get_precision method with matrix inverse lemma to FactorAnalysis + use precision in score
new 8145f52 pep8
new d024326 ENH : add PCA+FA model selection example
new c1ad0c7 pep8 + misc
new 36ad48e ENH : add score samples to PCA
new 7d83cf3 API : add score_samples in FactorAnalysis + update example
new 6e0eef0 better wording
new f62f1b7 add ref to online pdf
new bf1cf77 FIX : fix ProbabilisticPCA.score with homoscedastic=True
new 4289f62 for loop in tests of get_covariance + get_precision
new 4514bbc typo
new 2fb4979 typo
new 0a3e585 wording
new 84fa0ba simplify FA tests after rebase
new ab015af pimp example
new ce4b041 show example in narrative doc
new 915a58b avoid zip + topic in doc
new 4971546 Merge pull request #2404 from agramfort/fix_probabilitic_pca
new 4e0d186 DOC: add Rangespan testimonial
new 775dac1 Fix broken link
new 6c3e176 Remove execute pemission
new 11a6b33 Remove shebang in library code
new 5e375b5 Move __future__ import after license text
new 36327a0 DOC: add new testimonial
new 4cf42c8 ENH: Added comparison of other classifiers using partial fit methods
new 5c7050c Fixed misc style changes suggested by Ogrisel
new 6460fec first draft of scaling_strategies.rst - still wip
new 4015b3c improved scaling_strategies.rst, inc. working links
new 3d862ab added Federico as author
new 9f325a6 cosmit pep8/257
new fad62b9 added link to user guide + small cosmit
new 3765db6 fix re: ogrisel comments
new 1c206d7 added note on learning rate evolution
new 9ed0a6e readded a paragraph that got lost in the rebase
new 572b30d COSMIT pep8/257
new 5b8b616 COSMIT typos
new 727ffd4 COSMIT typos
new d83f663 added links to plots in narrative docs
new b8e1a6c ENH SGD Cython improvements
new f77bb9a MAINT: Add COPYING and README to MANIFEST
new 3072c66 Merge pull request #2424 from sergiopasra/no-shebang
new b154499 changing private _fit to public partial_fit
new 825e2e2 added bestofmedia logo
new 8b69152 added bestofmedia testimonial
new d49b347 cosmits
new bf04557 cosmits (2)
new a333542 DOC: fix bestofmedia testimonial
new 1f3a03b Cleanup
new 6b45d13 FIX: free self.estimators_
new 0f5f54e Merge pull request #2430 from glouppe/forest-2414
new e18d11a COSMIT more typos/precisions
new 79dc288 DOC add missing Returns description
new cd950d1 DOC: Update pyamg site and fix a typo.
new 0c84624 Merge pull request #2432 from jwkvam/docs_cluster
new f128072 Merge pull request #2370 from ogrisel/doc-cross-validation
new d0c981f MAINT deprecate indices=False for cross validation generators
new 0f5abaa DOC boolean masks in CV generators are deprecated
new 6955322 DOC what's new: fast_dot is internal, so don't mention it
new 86ea13d COSMIT rewrite precision_recall_fscore_support
new 68e9bcf FIX warning interaction problem, DOC clarify parameters
new fd8acb8 FIX ignore corrcoef warning
new eb806cd Use label_binarize instead of LabelBinarizer
new a3f97ea Use specialised warning class
new d66d537 TST messages for UndefinedMetricWarning from prf
new 474d11f TST use ignore_warnings helper
new 5f5e96a TST classification_report example that does not trigger warning
new 513b0f4 Merge pull request #2278 from jnothman/prf_rewrite3
new 4861ce6 FIX use fixes.bincount for numpy 1.3.0 support
new c760a2f FIX Py2.6-compatible use of str.format
new 74d3952 ENH bagging meta-estimator
new cc74076 ENH: move _partition_estimators to ensemble.base
new cebb7da TST: test_base in sklearn.ensemble
new 94bd0e9 BUG: do not force base estimators to inherit from sklearn in AdaBoost
new ccb7a6e TST: fix random_state in test_weight_boosting
new 5183828 DOC: base_estimator_ + estimators_ in ensemble.base
new 9a90e13 COSMIT: tidy up forest code (inspired by bagging)
new 524daee Merge branch 'bagging'
new 9c245f2 What's new: bagging
new 1872aaf DOC copyedit DBSCAN implementation notes
new 8d17166 DOC reference for k-means++ in clustering narrative
new f8bf44a FIX: logaddexp(-inf, -inf) == -inf and not NaN
new d5d7718 Merge branch 'master' of github.com:scikit-learn/scikit-learn into logaddexp-fix
new 6454b5f DOC: add docstring to _logaddexp
new 7ecae94 DOC: bootstrap=True by default
new 7551a82 ENH reduce memory overhead of storing tree ensemble
new 4331b47 Merge pull request #2438 from arjoly/tree-mem-overhead2
new 0cda1dc Update what's new
new bdf2048 MAINT Update six to version 1.4.1
new 581d535 DOC output types should never be "array_like"
new 9a9b9e8 DOC+COSMIT: typos, lots of them
new 5ae399f ENH: don't call astype when a copy is not needed
new 60e91f5 BUG oops, *safe_* asarray
new cab6517 Add what's new entry for pairwise_distances_argmin_min.
new 0cc3291 DOC improve encoding docs
new 72334f1 removing NWS from list of stock prices
new 680234d MAINT remove deprecated code from CD
new 255f57e FIX finish deprecation of indices in CV
new 67b143b Partially revert "MAINT remove deprecated code from CD"
new 8c987ef FIX issue #1993: passing a multilabel indicator is no more noop
new 92917e1 TST speed up biclustering tests
new 4fcb24c MAINT remove dead code from LibSVM
new faddb45 FIX : get rid of coef_init in Lasso in dict learning
new 41dc21a add about us to community block
new 8765d95 Merge pull request #2350 from jaquesgrobler/DOC_inria_google_logos
new 9cb3b96 Merge pull request #2222 from FedericoV/Out_of_core_example
new 24216b5 Issue #2455: Make RBM work with sparse input when verbose=True.
new b3d9a30 Change RBM sparse format from CSC to CSR.
new 4a2acd3 Cosmetic changes.
new eaa8a5d Add issparse import.
new 0ac17a5 Cosmetic changes.
new ad15405 ENH 10x speedup in dump_svmlight_format
new 91ae7cd DOC: NMF narrative: describe optimization problem
new 9e85797 FIX #2372: StratifiedKFold less impact on the original order of samples.
new 4c95f5e Fix accidental doctest breakage.
new cf9788c Instead of linking to NB, explain the problem inside the test itself.
new bbaa9d9 Avoid list, preallocate a numpy array for indices instead.
new 17f62e6 Update comment with numbers for when we run with 800 samples.
new 6c7e751 Add entry for #2372 to whats_new.rst
new fee660c More detailed entry for StratifiedKFold fix in whats_new.rst
new d611c32 Revert "More detailed entry for StratifiedKFold fix in whats_new.rst"
new 3aede7f Revert "Add entry for #2372 to whats_new.rst"
new c60a4fd Revert "Update comment with numbers for when we run with 800 samples."
new f7d1b6b Revert "Avoid list, preallocate a numpy array for indices instead."
new 38f703c Revert "Instead of linking to NB, explain the problem inside the test itself."
new 0ab5278 Revert "Fix accidental doctest breakage."
new 1a79640 Revert "FIX #2372: StratifiedKFold less impact on the original order of samples."
new fc6456d ENH: address @larsman comments on fast_dict.pyx
new 0c79334 TST "confusion_matrix" was a duplicated key in CLASSIFICATION_METRICS and NOT_SYMMETRIC_METRICS dicts
new 3a2173d TST style fix: old_error_settings should be outside try-finally block to be safely used in finally statement
new f8c7ca1 FIX classification_report shouldn't fail on unicode labels in Python 2.x
new cb7b423 FIX: more accurate description of eta0 in SGDClassifier
new aa2d045 Merge pull request #2426 from larsmans/sgd-improvements
new 7a5d4b4 DOC typo in SVM narrative
new b460ffb ENH: added PresortBestSplitter
new 1c0dc55 ENH: remove assert
new 151725d MISC: improve tests of fast_dict
new 3b8c0a1 Merge pull request #2462 from kmike/metrics-unicode
new 978737c BUG: fix typing
new 501e32b BUG: fix types
new ba45736 Clean: Separate hierarchical code from fast_dict
new 0a2518a COMIST: shorten some long lines
new 190c787 DOC: added entry to What's New
new 8416b10 Merge pull request #2469 from glouppe/tree-presort
new 19688d9 FIX: don't bias random feature selection
new dc36bf3 FIX: random number generator
new 9c07ca3 FIX: module RAND_R_MAX
new cdf495f TEST: improve test_distribution
new 924bf5c TEST: improved test_distribution
new 2d16aee FIX: use XorShift random number generator
new d8158f5 DOC: remove rand_r license
new f92c734 TEST: add tests for splitter="presort-best"
new 6e95e99 Merge pull request #2474 from glouppe/tree-tests
new d7b6a2b fix broken logo links on homepage and remove unused duplicate images
new f7026b0 Expanded docstring of the verbose parameter.
new 605d34f Check that verbose output is sound.
new 7d9984b Merge pull request #2442 from glouppe/tree-shuffle
new 130601e FIX: unsigned int -> UINT32_t
new e3002c5 FIX #2372: non-shuffling StratifiedKFold implementation and updated tests
new 53788b0 Merge pull request #2463 from ogrisel/stratified-kfold
new 3084d7b FIX: skip numpy.dot + multiprocessing test that segfaults under recently updated OSX 10.8
new be71b38 FIX: broken doctest impacted by stratified CV and tree RNG changes combined...
new c98a649 Merge pull request #2457 from untom/rbm_csr_format
new c63bb62 FIX: use next(iterator) built-in instead of iterator.next()
new f343262 MAINT zap unused import
new e123352 DOC optimized PNG images with OptiPNG
new 88f38c5 DOC remove qda and faces from website carousel
new a8c7ed5 DOC replace jquery by minified version
new 984a9a4 Merge pull request #2479 from larsmans/website-speed
new 6dfc416 FIX : cleanup coef_init in coordinate descent
new 2ca4832 DOC typo: polynominial
new 179c073 FIX : warm_start in coordinate_descent (was ignored)
new d6186e8 FIX : set deprecation to 0.16 in coordinate descent
new 10b0480 API : set return_models to False by default in path functions in coordinate descent
new 98ebde6 FIX Pipeline should raise ValueError for duplicate name
new 98ecfb6 MAINT list @paulgb's full name
new e472e5c FIX : get rid of convergence warning in test_coordinate_descent
new f244a28 ENH : Gaussian process for arbitrary-dimensional output spaces by @JohntheBear
new af4b940 ENH : simplify input checking in GP
new 56c0631 update what's new
new 0d2c8c1 DOC improve biclustering docstrings
new 81950ba ENH sparse matrix support in pairwise + optimizations
new a2a4257 ENH optimize NMF inner loop
new 94d66a0 FIX max_features in CountVectorizer
new baad8de COSMIT pyflakes feature_extraction.text tests
new 1d0a3fd DOC error in feature_extraction.text docstrings
new bb2d007 another speedup attempt for index.html: carousel images to use thumbnails instead, 1 blocking js removed for page (sidebar.js)
new e95533d cleanup changes
new 8160b8a inital checkin
new 67010c7 first plot working
new 7f6e398 remove paren
new d0c3395 ENH: small optimization in PresortBestSplitter
new eade1b7 add lossless image compression for docbuilding machine
new 09d1ce7 switch species_kde to thumbnail
new 2cae5d6 logo lossless compressions
new c326be1 Fix typo in the Gaussian PDF
new 6f3a805 Merge pull request #2489 from samuela/patch-1
new 36d500d working boxplot
new 26dcdfa add coverage test for travis
new 8f9f658 coverall added
new 015113a remove whitespace, fix pip install
new add591c FIX scipy API
new c1df89e ... add the fix to import check
new a3995ec Merge pull request #2497 from dengemann/extend_fast_dot
new 2988a23 AdaBoostRegressor: fix redundant recalculation of error_vect.max()
new 2c05daf Merge pull request #2500 from ndawe/r2
new 097874c Merge pull request #2495 from jaquesgrobler/ENH_coverage_travis
new 29916ae ENH: Call plot twice per class label rather than for every point.
new 94642a4 ENH: remove offset calculations
new d2305b6 ENH: use memset and memcpy when possible
new 29fb370 ENH: make sort an inline nogil function
new b9384c9 ENH: make node_reset/split/value gil-free
new 6a5a65d ENH: use npy_int32 type
new d61ffe8 Merge pull request #2487 from jaquesgrobler/DOC_speed_up_frontpage
new e3211e1 Cosmit: move log_loss.
new 3bf4474 pep8/257 fixes
new a540309 more pep8/257 fixes
new 0974fb6 ENH: Call plot twice per class label rather than for every point.
new 5df97f6 Merge branch 'plot_dbscan' of https://github.com/ericjster/scikit-learn into plot_dbscan
new cb58700 bug fixes in graph_lasso and moving non-custom log-likelihood definition to specific definition of cost
new 33ae502 corrected sign error in _objective
new 29de0c8 pep8 compliance
new f01e215 Merge pull request #2502 from ericjster/plot_dbscan
new ef108b0 MAINT add authors to validation.py and pairwise.py
new c117799 MAINT: use python setup.py clean in Makefile
new 809378f FIX parallel FeatureUnion.fit and fit_transform
new edf747e DOC docstring for extmath.norm
new 24af95a ENH refactor squared-norms computation to extmath
new b7f482b ENH use row_norms in KDE code
new 55a2f29 FIX fit followed by partial_fit in multiclass SGD
new a6b8913 FIX: clean-build target does no longer exist
new a2b13bd MAINT use subprocess.call, not os.system
new 761dde6 COSMIT remove dead code in k-means
new a2d95d3 Merge branch 'refactor-squared-norms'
new 551b6c2 ENH honor Y_norm_squared when X=Y in euclidean_distances
new 9e10ec0 COSMIT use norm function in feature selection
new 551625f MAINT simplify f_oneway in feature selection
new cad1287 adds minutes + seconds to examples
new dde0ad9 cosmetic - shorten long line
new 8a02b4b add copybutton to code examples
new 4710045 Making the results NaiveBayes example more explicit
new 616e026 remove writing of minutes/seconds
new 5c2a60f remove duplicate line
new 88185eb cleaner toctree collapsing
new 83ebcf9 remove unused images
new 22ff18b mention python.org in js file
new 67eb1b8 Merge pull request #2515 from jaquesgrobler/add_minutes_examples
new 3a770a2 Adding doc for bin_seeding parameter in cluster.MeanShift
new 5539b87 Update linear_model.rst
new 44cc36f Merge pull request #2521 from dmedri/master
new a2580d6 Merge pull request #2516 from jaquesgrobler/add-copybutton-examples
new 913e471 FIX #2481: add warning for bug in old numpy with unicode
new d581f97 added test cases to test_graph_lasso for alpha=0
new b98b71b Fix bug identified in #1817, comment 17340049
new 3294ec5 Fixes to HMM docstrings
new 687452d Update permutation_test_score docstring
new cdc81a7 Merge pull request #2527 from shoyer/permutation_test_score-docstring
new 8ffee3f Wrapping line in naive_bayes.rst and specifying bin_seeding argument as optional
new aedef90 deleted the .orig file in this commit
new 73b1b82 Remove leftover print statement
new 679a49a Merge pull request #2519 from ankit-maverick/minor_docfix
new a207c70 Use a RuntimeError instead of a warning to avoid raising a ValueError randomly later
new 530c2e4 Merge pull request #2504 from glouppe/tree-tweaks
new b807036 Merge pull request #2523 from ogrisel/skip-numpy-unicode-bug
new 7443e49 deleted *.py.orig from branch
new f859b7d Release the GIL at tree building time
new e3cc3dc cosmetic remarks incorporated
new 34a3d47 Merge branch 'glbugfixes'
new f66e30a cosmetic remarks, pep8 compliance against trailing white spaces, spelling errors
new b303b37 clean up
new 5b817a1 Merge pull request #2505 from rphlypo/master
new 1e3cadf Put more code under non-GIL block
new a99ed56 Clarification of the sequence length, per @ogrisel
new c9a10b7 Merge pull request #2525 from rmcgibbo/hmmfix2
new 02e0267 Merge pull request #2517 from jaquesgrobler/simpler-collapsible-toctrees
new 46c260b Update dict_learning.py
new 47db7d2 Merge pull request #2533 from samuelstjean/patch-1
new b66288e DOC norm optimizations in what's new
new 12c8aa3 MAINT remove mlcomp document classif. example
new c96c6ae ENH optimize one more sq. distance in k-means
new 668c197 Merge pull request #2528 from ogrisel/tree-nogil
new daca763 Add implementation of RANSAC algorithm
new d2c5f98 Add ransac function to __init__.py of utils package
new 63137a4 Fix bug in residual determination
new a971649 Add step-by-step description of RANSAC algorithm
new 26818ff Add parameter description to RANSAC and modify API
new 23d3430 Add example plot script for RANSAC
new d0d1074 Add simple RANSAC unit test
new 87ad0da Add unit tests for RANSAC is_model_valid and is_data_valid
new 623e8fe Add unit tests for RANSAC max_trials option
new 354fe56 Return number of trials in RANSAC
new d7fdb14 Fix n_trials return value and add additional test
new 1f3e7fb Add n_trials return value to doc string
new cddbf55 Add test for stop_n_inliers parameter
new cec4ed7 Add test for stop_score parameter
new 99d2624 Move ransac.py to _ransac.py to avoid nosetest namespace conflict
new 5c5953f Set numpy random seed for all test functions
new 755d90c Remove unused variable
new 5ce892f Add missing information predict method of estimator
new 5b46b59 Skip iteration for empty inlier sample set
new fabf192 Move algorithm description to notes section
new 223edc3 Add some reference papers
new 44d98b3 Fix estimator parameter description
new f6b2608 Add empty line between parameter and return value description
new c74b1f8 Move RANSAC implementation to linea_model subpackage
new 0b6c470 Implement RANSAC as estimator class
new c1cda27 Fix indentation
new 0321cb4 Add score method
new 0cd1374 Add RANSAC to __init__ of linear_model sub-package
new 8e1e4df Add author and license info in source file header
new 598b0d8 Define source file encoding
new 04c19e2 Fix deprecated naming of estimator object
new 8c37a2b Update unit tests with new estimator class interface
new 940c117 Update RANSAC example script for new estimator class interface
new c36b6a5 Add doc string for predict method
new 1a007e7 Add doc string for score method
new d25d3ab Set default initialization parameters
new 64999f6 Fix default parameters of RANSAC estimator
new eadebe8 Add missing trailing underscore for estimator attributes
new 34a9a1a Remove deprecated ransac implementation
new c7bb3cf Add description for min_n_samples parameter
new 77b466e Move estimator_, n_trials_, inlier_mask_ initialization to fit method and use LinearRegression and Perceptron as default base estimators.
new bb81e85 Add extra line between doc string sections
new 8ebe2be Add support for absolute and relative min_n_samples
new 18a59a0 Add default values for min_n_samples, residual_threshold
new 8413efa Include random_state utility
new bdabe89 Use random_state in test cases
new 3dd7628 Explain behavior when no base estimator is specified
new b15a8fc Fix test case function name
new 7d4d9f8 Add specific test case for score method
new ae6ee97 Add specific test for predict method
new 36390cc Mark all parameters as optional
new fe201f8 Add missing reference papers
new eb1adfc Set random state in fit rather than __init__
new 5cf7ac5 Add specific exception description for ValueError
new 2c72bf8 Change indentation of multiline if-statement
new a12eff1 Remove unused variable
new a702773 Use term callable instead of function in doc string
new 76f3d79 Add more precise description of is_*_valid parameters
new 30dff8c Combine nested if-statements
new dfc48d4 Remove default perceptron base estimator for integer data type
new 28f24e4 Add support for sparse feature vectors
new a9392e6 Fix indentation of multi-line if-statement
new 42b0fe7 Remove trailing empty line after doc strings
new 68cf5f9 Add test case for sparse feature matrix
new a8db5b1 Fix flake warnings
new 5e786c7 Add test case for case without specified estimator
new 4760978 Add test case for min_n_samples parameter
new f4991e6 Fix description of default base estimator behavior and add corresponding test case
new 5bb9e8b Add description of RANSAC to linear-model docs
new dc0f897 Move ransac example to linear-model folder
new 1d501c3 Add meta-data title, author and year to references
new 011b1ba Fix indentation
new 748f855 Change ransac docs section title
new 0151c73 Remove academic detail description
new 8ca857b Remove duplicate detailed description from doc string
new 54475d4 Change default parameters, so example works without specific parameters
new f529fd4 Add support for multi-dimensional target-values
new b301464 Add reference to narrative documentation for detailed description of RANSAC
new 218c905 Remove empty line
new d4cd61d Add more descriptive explanation for raised ValueError
new 5116637 Fix bug in is_data_valid test
new 4d17686 Add more specific test for is_data_valid and is_model_valid functions
new 2c8f27b Stylistic multi-line statement change
new ada4778 Improve ValueError description
new 0b278f2 Remove email adress
new 608c284 Fix typo
new 58d5654 Set random state of base estimator as well
new 3120a3c Use MAD as default residual threshold
new 64eb3c4 Use np.logical_not rather than tilde
new 0378f8c Extend RANSAC example with comparison to BaggingRegressor
new c9199ac PEP8 indentation fix
new 722a467 Remove double-space
new 3342f40 Add more detailed description for score method
new 3423f16 Improve description of base_estimator parameter
new 160414a Add tests for more types of sparse matrices
new 3166e22 Derive Ransac also from MetaEstimatorMixin
new cf1b2b8 Document use cases of is_*_valid functions
new b20f13c Improve and document n_trials_ attribute
new 018a947 Fix parameter description of X and y
new 69113d1 Change naming scheme of variables for consistency
new 5be0d71 Fix return value description of predict
new e5e04b7 Fix y paramter description of score
new 0e0db46 Change linear_model access and call explicitly with kwargs
new db75461 Remove bagged regressor
new bc45750 Add missing parameter of score method
new 3753696 Unwrap lines
new 338b9f6 Make sure min_n_samples is not larger than number of samples
new 6ee0197 Remove _n_ from min_samples
new 6ec1281 Sample subset without replacement
new ed19096 Add reference to max_trials
new 5d26ad7 Rename min_samples
new a9afc73 Improve explanation of degenerate case
new 8c079e9 Fix typo
new 28569ec Improve RANSAC example script
new 0a0b5d9 Make sure dimension is correct for all estimators
new a01b871 Add note about computational cost of is_*_valid functions
new c2a2bfe Rename RANSAC to RANSACRegressor
new a555437 Rename base_estimator to estimator
new ae1bea9 Use LinearRegressor as default estimator for all data types
new 6e2fb82 Add RegressorMixin base class
new 555bcc8 Raise ValueError for non-integer absolute min_samples value
new a5aba07 Rename base_estimator to estimator in docs
new 8cae900 Clarify default estimator by explicitly instantiating the class
new 4d5ce35 Remove unused outliers parameter
new 20e45bf Rename estimator to base_estimator
new 9aeb896 Add additional floating point test for absolute min_samples value
new 250c6a3 Use assert_equal, assert_less rather than plain assert statement
new 32ca06b Add RANSACRegressor to whats-new doc section
new af30cf8 Add test for default value of min_samples
new 4dfbca1 Add test for invalid value of min_samples
new 3e38738 Add test for custom residual_metric
new ecc7c4a Add test for default residual threshold
new b859c96 Remove reference to web page
new b1aea57 FIX: make RANSACRegressor pass test_common
new a4db8e2 FIX: np.ones_like does not support dtype on old numpy
new c14a619 TST fix broken fast_dot test
new d208c13 COSMIT friendlier output from faster NMF benchmark
new 02d9726 ENH micro-optimize NMF inner loop
new 311172e TST fix still broken test_fast_dot
new 286d375 Add a estimator introspection check to test_common
new e42f211 ENH make sure all "SkipTest" calls have an error message.
new 7e7dc78 don't import tests
new e24e391 FIX don't raise file-level SkipTests
new ccad81c Merge pull request #2538 from ogrisel/test-test-common
new d82cf06 Merge pull request #2536 from larsmans/rm-mlcomp-doc-class
new 35f5b4b LOO is bad doc
new d4447e7 Update cross_validation.rst
new 1d8f696 Update feature_selection.rst
new d43a767 Merge pull request #2546 from StevenMaude/patch-1
new 48e0f8e updated for typos and a few wording changes
new 4e5c637 one last comment fix
new 7430eba Add plot titles and newstyle plt import in OLS vs Ridge example
new 3290453 OPTIM: remove memcopy for X_argsorted in GBRT models
new 29fa8a7 fixes mis-alignment of Documentation link on front page
new 03259da Merge branch 'master' of github.com:scikit-learn/scikit-learn
new fc3fcb8 Add inline comment
new 55efb67 Merge pull request #2524 from rmcgibbo/hmmfix
new 84094f4 Merge pull request #2543 from johncollins/dev
new b01f960 Minor typo fixes in grid_search_text_feature_extraction.py
new 0e218c6 Merge pull request #2550 from StevenMaude/minor-typo-fixes
new 4f3722c ENH: improve FA vs PCA example
new 4516bf5 COSMITS
new 101f0ee ENH : better shrinkage range for ShrunkCovariance
new 8922501 DOC sparse matrix support in BernoulliRBM
new 13a8315 FIX sparse matrix indexing in BernoulliRBM
new 8a0b317 TST clean up after ourselves in SVMlight test
new 64de651 1st draft of merformance docs
new 9593fa7 Merge remote-tracking branch 'upstream/master' into pred_latency
new 1543480 Merge master in hc_linkage
new 9a48821 DOC Clarified the doc of the hierarchical clustering
new 48c2c15 Improve the GMM PDF example.
new e628aad FIX precomputed distances on the hierarchical clustering
new 7210aac ENH callable metrics now work for the hierarchical clustering
new ba80756 some substance to the perf docs
new 30eb78d FIX #1622: OPTIM: remove obsolete random_state instance in the Tree class
new 1564765 BUG: Compare strings for equality, not identity.
new 03926cc Merge pull request #2558 from Jorge-C/patch-1
new 01e110c Merge branch 'pr/2556'
new b2c5f4d Better title
new abe3d05 COSMIT micro-optimize norm computation in NMF
new 2f998ca DOC fix cross-decomposition docstrings
new 8ad2f5e ENH: Make forest prediction code more robust to mutations of the estimators list
new 0bb6871 added influence of n_features; added throughput explanation/graph
new 87180a8 adding change.org testimonial, logo
new e7a40dc Constant output dummy classifier
new 5e9a015 Minor doctest change
new f2ceb4f Merge pull request #2565 from change/change_org_testimonial
new 098f630 GBRT enhancements: Moved verbose output code to VerboseReporter class. Cosmit: logical structured code blocks Refactored: moved init state to method Added partial_fit to GradientBoosting Fix: is_classification not available; n_features not n_features_ Tests Add ``partial_fit`` to docs
new 5dc3754 added EPSILON_FLT and EPSILON_DBL for almost equal impurity and fx value comparisons
new 0412d4d fiddled with EPSILON_DBL
new ecd606b added monitor callback w/ early stopping support
new 7eb94f6 fix: VerboseReporter remaining time in the case of partial_fit
new e7bf1aa added ZeroEstimator
new d2c2daea use StackRecord as elements of stack not 5 consecutive entries
new 1192fe6 Tree: compute partition specific impurity and total impurity in criterion.children_impurity. Pass partition impurity to stack to avoid re-computation (saves some runtime). New tree parameter: complete; specifies whether complete binary trees are grows or if a greedy branch of max_depth is grown with at most max_depth + 1 leafs.
new cdef5d6 set EPSILON_DBL to old val of 1e-7
new d7e5802 add tests for complete
new 3914a22 fix: use regressor in regression test
new 7eb679d Add stack class
new 2bf8318 Handled exceptions in fit; Added tests
new e9cea77 PriorityQueue for best-first tree growing max_leaf_nodes instead of complete parameter
new 173f6e4 fix: test renamed and check only on nr of leafs.
new 5f09b5a tree code now supports both c-style and fortran inputs
new a9c2f89 tree code now supports both c-style and fortran inputs
new 79a67d0 updated after tree.pxd change
new 766e11f Tree ensemble classes don't enforce c-style inputs.
new bef7d40 use assert_equal if possible
new 3f0c3f0 check value of max_leaf_nodes
new 68d63b7 TST Tests for string labels, DOC Minor doc changes
new 8fc0622 adding test to rbm
new 3a2ef79 changing partial fit to be seperate from _fit
new edb4e8f FIX website: css hickup
new 139cc68 Added contributing subsection and fixed link to web doc
new 9b47992 SGD and SVC duplicate example sorted
new ea7ad29 sort out plot_iris vs plot_svm_iris
new ed82f9b some cosmetic commits and delete duplicate files
new 1a86056 Merge remote-tracking branch 'upstream/master' into pred_latency
new 6bc4012 No whitespaces at the end of file
new aafb4c5 wip sparsify()
new bd2cd7b common test for sparsify + fix for SGDRegressor
new 0546d31 DOC Minor doc changes
new 501230d Merge remote-tracking branch 'upstream/master' into pred_latency
new 23331a9 Removed unnecessary attributes
new c9b6d14 sparsify test: add multi-class test too
new 1bdb7b2 completed sparsity sections; added benchmark
new e86a580 cosmit link
new 6241ac7 cosmit double backticks
new 4052f64 precisions from @ogrisel
new f39c759 Merge remote-tracking branch 'upstream/master' into pred_latency
new 5f8f7a0 Merge pull request #2571 from edran/readme
new 84f86c2 Only run make test when coverage is disabled
new d6e5462 Merge pull request #2574 from ogrisel/travis-speed
new 7a6d653 Merge remote-tracking branch 'upstream/master' into pred_latency
new edb4a2d support 'zero' init, more tests for ZeroEstimator
new bc54b7b @ogrisel precision on sparse + elasticnet tradeoff
new c6bae4c link to benchmark in github
new 28997f6 Returning an array mask using np.ma.getmaskarray
new c7c6999 fix for np.count_nonzero not present in Numpy < 1.6
new 7b3e7c7 MAINT: make gen_rst more robust (minor)
new 613cf8e s/n_features/n_samples in doc/datasets/index.rst
new 6f8186f Adding a test for verifying the shape of imputed matrices
new 067ace1 Using assert_equal routine from nose
new 3fff76d whats_new.rst
new f719d09 Merge pull request #2576 from ankit-maverick/issue2560
new d0cdcde Test correctness of average_precision_score.
new 63f7dd1 Merge branch 'master' of github.com:scikit-learn/scikit-learn
new b7f98ac Remove some warnings.
new 63aa0c4 FIX the option affinity wasn't used in the hierarchical clustering
new 610679c DOC metrics and hierarchical clustering
new 6d09f05 Add docstrings to _auc and _average_precision.
new 179d758 s/speed/latency/g
new 4ae976b added section on model complexity
new c5ce49b fix: Huber loss function in gradient_boosting fails if negative_gradient is not called before __call__; now computes on-demand.
new 623dfef add huber loss bug fix to whats new
new bf033bf Merge pull request #2566 from Manoj-Kumar-S/constant-output
new a150413 What's new: DummyClassifier now supports constant output
new 87a01e1 now compares linear vs svr vs rf
new e62d196 Merge branch 'master' into gbrt-enh-stackrec-greedy
new 8143e40 BUG: ValueError was assigned as local variable!
new c0e686b COSMIT: no need for parentheses.
new 9162dd5 More robust unit tests for fast_dot.
new be2894a Remove warnings in ProbabilisticPCA tests.
new d6e722a One less warning in QDA tests.
new 112befd Simplify fast_dot.
new dd15031 DOC explanatory sentence for svm grid search example
new 24a06c9 Merge pull request #2583 from amueller/doc_rbf_parameters
new 5944e1e Remove print statement.
new 281017c Add lobpcg in possible solvers.
new 31d747b Fix fragile symmetry check.
new 2a23fdc Fix fragile test.
new 215ca71 Fix typo in test.
new 317e97a DOC remove confusing comment from TruncatedSVD
new 568c43d ENH: add PolynomialFeatures preprocessor
new a8089b0 FIX: errors in kernel parameters for OneClassSVM
new d071ef1 address PR2585 comments
new eb22538 import pylab -> import matplotlib.pyplot
new 217834b TST: fix PolynomialFeatures test error
new 2983ab9 TST: fix doctests & pep8
new f1618a5 BUG: ward does not take an affinity
new ecdedd5 DOC: adjust notes in PolynomialFeatures
new bced673 changing test
new dd84e10 added example and fullfilled section on influence of model complexity
new 0371831 removed CV code to tune hyperparameters (better for CI)
new dc763a3 mentionned training throughput
new 8e2d6a2 added ElasticNet to the narrative doc
new 4427c7a more descriptive legend for ElasticNet
new ae4d0ac FIX limit warnings for recall_score, precision_score, f1_score, fbeta_score
new 4c00042 reorder polynomial features
new f08d2c6 merge doc/whats_new.rst
new f372e12 fix ordering & docs of PolynomialFeatures
new 6715860 TST: remove stray print statement
new c19dd19 DOC: example metric + hierarchical clustering
new af8904c ENH: ElasticNetCV and LassoCV raise ValueError with multitarget outputs
new e804575 DOC: multiclass: make the warning more prominent
new e2b6cc7 DOC improve feature selection docs
new af43c88 COSMIT remove useless "if False" in kernel approximations
new da4f2c6 FIX regression in CountVectorizer handling of float min_df/max_df
new 21f8fd0 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into prf_derivative_warnings
new a23662d COSMIT use assert_no_warnings where appropriate
new e5f1cec BF: use hasattr with providing attr name (Thanks to Timo Schulz)
new 5393bd3 WIP example l1 metrics hierarchical cluster
new e5bed51 BUG: fix partial_fit of MiniBatchDictLearning
new 86954e2 DOC: update whats_new
new 13e43d2 Implement GBM's best-first heuristic tree growing procedure .
new 6bd380e remove asserts
new 4b45668 Best-first instead of branch heuristic - identical score as GBM on covertype
new 0808cfc cleanup: remove BranchBuilder, added more comments
new ab14a08 remove check for condition that might not hold
new b3aff11 DOC explain ARPACK algorithm in TruncatedSVD docstring
new 3a91193 cosmit
new 24b6fb0 rm MSE import
new 5847be4 removed Impurity struct, Criterion.child_impurity now returns impurity_left and impurity_right (not total), fix: moved pos >= end check to if branch
new 635505e moved data structures (Stack + Heap) to _utils use impurity_improvement for choosing best split
new 9d485d7 fix: correct impurity_improvement formula (weight by n_left and n_right)
new cde390f remove split_impurity from node_split signature
new 9f23eb7 update test (slight changes in tree output because of removal of EPSILON insensitive checks)
new 6aec00e use max_leaf_nodes in regularization example
new e7a2c2e narrative documentation on controlling tree size - might be relevant for weighted boosting and CART as well.
new cfa7775 DOC: typo in kernel formulas
new 7ca3906 Merge pull request #2608 from jakevdp/master
new f63e5fd Merge pull request #2585 from jakevdp/polynomial
new dd73b35 Disable reporting to google analytics -- we haven't got any permission from the users allowing to report back to 3rd party services (thanks Ambrose Andrews, Closes: #730259)
new 96cd50a FIX verbosity of the mds
new 99e3245 Merge branch 'master' into DOC_olivier_tut
new 36d68b3 MAINT: unreachable code removed from BernoulliNB
new 119cc24 BUG SVMlight loader should check whether n_features is big enough
new 642cbb2 MAINT: use stable blas getter API
new 47f58d4 rename GBM_MSE to FriedmanMSE add friedman_mse to regression criterions in tree.py
new 669e2b4 BUG lower space complexity of estimate_bandwidth to linear
new bbf3b57 Merge branch 'master' into DOC_olivier_tut
new dea7bbb BUG: typo fixes in sklearn.mixture.gmm
new f642aee Merge pull request #2614 from zyv/patch-1
new b5e197f MAINT: fix broken links to numfocus.org on donations page.
new a7d19e3 Merge pull request #2615 from rgommers/fix-numfocus-link
new 35daf32 prefer np.as(fortran|continuous)array over np.asarray(order=order) pre-offset X pointer (X_fx); doesn't help performance-wise
new c02dee5 fix: pass warm_start to BaseSGDRegressor fix: make Regressor test case extend CommonTest (move two clf specifc tests to clf test case)
new e0cb201 DOC be more explicit on mean-shift scalability
new 80b96bc Merge pull request #2617 from pprett/sgd-regressor-fix
new e85ac0e some cleanup, conflict fixes, squashes, re-dos
new c224111 redo typo fixes
new e8b3d39 small css tweak
new 9e1edd1 FIX stop forcing deprecation warnings for external packages
new 61c3b6a FIX use of str.format for Py2.6
new 2373961 speedup for docbuild using joblib
new 293c020 change cache directory
new d4fd210 Merge pull request #2620 from jaquesgrobler/master
new fda6211 pass impurity to ``impurity_improvement`` - now it is correct so that arbitrary Criteria can be used in best-first search.
new b583310 typo fix
new fbab2cd COSMIT + FIX in _utils.pyx
new 8524c64 changes to headings and sections
new c0e25bb Merge commit 'fbab2cd' into gbm
new 209c93a remove face-recognition exercises, skeletons, etc and merge artifacts
new f0a7062 further changes to headings and subsections
new 89c8625 re-order some Documentation categories in documentation.html
new feb4312 fix broken link for stable version from dev version
new 4d01a77 FIX: unintended assignment to ValueError
new 5055836 STY: tuple for Gael
new d2f3a8a ENH: refactor warnings 1
new e1bdd99 ENH: add assert_warn_message
new f9cd599 ENH: revem tests_metrics.py
new 3a6c034 ENH: more of this
new 9b1207b ENH: final fix: clear all regisitries
new a0f0a3d FIX: PPCA related warnings
new 9fd2be4 ENH: context manager + decorator
new a4e67d6 FIX: doc example
new 163e659 ENH: address discussion
new 4c10c82 ENH: address discussion
new c300814 rebase
new e141a98 cosmits
new 686fc3a FIX
new 26a5dd7 FIX typo 2
new 39fb5c5 address discussion
new 0b62e57 remove import
new d8ad680 Improve doc
new ce0d52e COSMITS + FIX to impurity_improvement
new da1c71e FIX: impurity_improvement
new 722afb2 TEST: disable test_32bit_equality
new 12290f2 Update max_depth in DepthFirstSplitter + Release splitter in BestFirstSplitter
new 7ec6531 Merge pull request #7 from glouppe/gbm
new 65634f6 fix tutorials index, update dropdown menu in navbar, update stat_learning tutorial link on documentation.html page
new acc897d typo fix
new 8e458d4 Merge branch 'master' into DOC_olivier_tut
new 4d175e9 X need not be continous anymore (since we adhere to col and row strides)
new 0451b24 remove extra headings from tuts page
new 8e41ba2 cosmit: doc undocumented functions
new ae1ea1c update what`s new
new dc8a03e BUG: fix convergence check in OMP
new 8b037ad Merge pull request #2541 from dengemann/fix_dot
new 1eacd31 py3k syntax
new 391c913 Merge pull request #2624 from dengemann/fix_dot
new 2ff06a2 cosmit: remove commented out code - add comment
new c281adf Add max_leaf_nodes to forest + DOC
new f172759 Merge pull request #8 from glouppe/gbm
new 09d7e97 Merge remote-tracking branch 'upstream/master' into pred_latency
new c025984 ENH: color scheme + add PCA
new 93f2a9a COSMIT
new 2b1863b address duscssion
new d990ad9 address duscssion 2 + expose modern API
new 05188ef ICA vs PCA barrier free + fixed
new efe5294 COSMIT
new 5821143 TST add generic test for averaging
new 9e56092 ENH test that most metrics work with one sample
new e90317d ENH auc averaging for multilabel-indicator format
new 5b9c369 ENH add multilabel-indicator support for average_precision
new 5ddea8c TST perform testing on average precision + simplify invariance test system
new 3df6e8a ENH add scorer support for multi-label threshold scorer
new afc82c5 TST scorer works with multi-output decision function
new 7ee45a5 flake8
new 205a422 TST more clean up test_metrics
new 348a342 DOC narrative doc for averaging support of average_precision_score
new e9b4fcf FIX decision function scorer multilabel
new e05cb16 DOC narrative doc for roc_auc_score multilabel-indicator
new 873a58c DOC not all functions support multilabel-sequence format
new c53e977 DOC wording
new 87b2785 FIX doctests
new fbb62f4 DOC extend roc example
new 8832bde DOC update example of precision-recall curve
new eb56b9e TST properly raise ValueError...
new e778c36 DOC nicer plot
new 7bafbca TST add roc_curve and precision_recall_curve on toydata
new a9aa616 DOC TST explain how to use common tests in test_metrics
new 59fd981 Typo
new 85e1db0 TST clean copy paste mistake
new 303a465 TST remove print
new da1b56a TST full coverage for _average_binary_score
new 3d0211c DOC TST typo
new 19bf47e WIP TST more sample invariance test
new 1aa0f07 WIP TST adapt test for sample based metrics
new 5cf711a TST finish to add invariance test for sample based metrics
new 41ecb9b DOC typo
new 3c4dc02 DOC wording and typo
new 909d45d TST add test for garbage averaging input string
new 050f7ec TST typo
new 49186bb DOC explain why roc auc score is useful in multilabel classification
new 8c2c1c5 typo
new f3c09df Improve wording + COSMITS
new 925aa1e Improve wording + COSMITS II
new 2843ee1 manual subplots adjust
new 527d5f7 Merge pull request #2628 from dengemann/improve_ica_example
new a82c8ac Merge pull request #2460 from arjoly/auc-multilabel
new 2e07f4e FIX: broken sparse matrix check under scipy 0.13.0
new 04977db FIX: Python 3 dict keys cannot be concatenated with a list
new 3e7f445 found a good elasticnet example
new 7a01a5c TST more corner case tests
new 848eab3 TST ensure that exceptions are properly raised on np 1.3
new 06a1eaf Merge pull request #2629 from arjoly/fix-auc
new 1b8ea52 max_leaf_nodes has precedence over max_depth if the former is not None.
new 7c9d618 fixed link & desc in WN.rst
new 2723270 added model complexity in latency/throuhputs example plots
new f4d32b2 added prediction time plot to Reuters example
new 3b7bc1f typos in narrative doc
new d101ef4 Merge remote-tracking branch 'upstream/master' into pred_latency
new 87343d7 Update what's new
new 3b254d5 Joel's feedbacks
new 6ec80b5 Merge remote-tracking branch 'upstream/master' into pred_latency
new fc15658 FIX: random_start feature in GaussianProcess
new 2912384 FIX: gp_diabetes_dataset examples (theta_ attribute)
new 30578da fix: l1_ratio is incorrect; its (1.0 - rho); added test case to make sure elastic net penalty with l1_ratio near to 1 and 0 matches L1 and L2 penalties.
new 11d256c added change log entry
new 6a25717 set l1_ratio to (1.0 - l1_ratio)
new 3721988 revert: reverted l1_ratio change - not SGDRegressor - sorry
new d27cbac Merge pull request #2631 from pprett/fix-sgd-l1-ratio
new a1aa449 Fixing small typos in the docs.
new 7abe96d Merge pull request #2633 from josericardo/FixingTypos
new 699079e ENH: more explicit traceback + message in case of common failure on sparse input
new 54b03b3 Merge remote-tracking branch 'upstream/master' into pred_latency
new cdf70f4 added model re-shaping + compressed verbose §
new 4674552 Merge pull request #2592 from jnothman/prf_derivative_warnings
new a3a4b53 emph. reshaping benefits on I/O
new de7bee4 ENH support multiclass targets of string objects
new d025750 MAINT: use $(MAKE) for recursive make
new 7643f44 DOC add sklearn.base to generated docs
new c94ea6a ENH use fast row_norms helper in preprocessing.normalize
new 21f0479 ENH use fast row_norms in dictionary learning
new 66a5a4a Merge pull request #2488 from oddskool/pred_latency
new b0485c4 BUG don't densify sparse matrix in BernoulliRBM.score_samples
new 4706435 ENH speed up progress reporting in RBM
new fa5acb2 TST Add benchmarking script for multilabel metrics
new d02a15b ENH better error message when CountVectorizer prunes away all terms
new be744a0 TST disable non-doctests in Comp. Perf. docs
new dcb2834 DOC {min,max}_df look at document freq, not term freq
new 393a894 Merge pull request #2626 from jnothman/string_objects
new 3aeae7b DOC Add what's new entry for #2626
new 8b6b770f9 DOC fix BernoulliRBM._fit docstring
new f2b91dc Merge pull request #2642 from larsmans/rbm-speedup
new 03352bf ENH: faster cartesian product in make_classification and document complexity
new 4b85423 Revert "ENH: faster cartesian product in make_classification and document complexity"
new 912d550 Fix exception message when cloning a estimator that does not implement 'get_params' method.
new baac91c Merge pull request #2647 from trein/patch-1
new 84ec4f9 COSMIT in response to feedback
new 5f57f85 Merge pull request #2643 from jnothman/bench_mutilabel_metrics
new 9739224 Merge branch 'master' into gbrt-enh-stackrec-greedy
new 88bff86 DOC: PolynomialFeatures narrative doc
new c66d3df DOC: fix auto-links
new 6cb1e3d DOC: fix Polynomial Regression docs
new 0bd0552 ENH: Raise explicitly on non-unique vocab.
new 79c1c38 remove EllipticEnvelop deprecation
new b308a53 Merge pull request #2653 from jaquesgrobler/remove_ellipticenvelope_deprecation
new a64d5aa Remove deprecated zero_one and zero_one_score
new 34005e9 Merge pull request #2649 from jakevdp/polynomial_doc
new c80116c flake8
new ded381b Merge pull request #2654 from arjoly/metrics-0.15
new ffde690 DOC: fix test failure in linear model
new 25ed3f5 Website: add spotify testimonials
new 833a1f3 Merge pull request #2651 from amueller/spotify_testimonial
new 20694a8 FIX silence numpy 1.8 warning for using non integer
new f86ed77 Merge pull request #2656 from arjoly/np1.8-warnings
new dba9ade SPD: reuse variable in GaussianNB for speedup
new aa8139b Merge pull request #2659 from jakevdp/gaussiannb_speedup
new 9671b3c ENH make minibatch k-means use batches in prediction and computing labels
new 71d2392 FIX : explained_variance_ratio_ in RandomizedPCA
new 4ce2eb7 update tests
new 9b37285 better sparse support
new 08469a6 pep8
new 2b8d06b update what's new
new 0553bf1 add test with sparse data
new 0413b55 saving the random state
new fe1c284 address @ogrisel's comments
new 22322f1 fixed bug in mds.py
new 8e58fcb added not
new 9d92982 Merge pull request #2667 from kowalski87/master
new 8024ccf Cleanup criteria
new 547c9d6 Nitpicks
new 8dabff1 Merge pull request #2664 from agramfort/fix_randomized_pca
new 5b300e5 Merge pull request #2660 from amueller/mbkmeans_compute_labels_fix_new
new a030c5d Normalize variance
new 05cce23 DOC: add phimeca testimonial
new aac7e67 Merge pull request #2669 from GaelVaroquaux/phimeca
new 44270dd fix f_oneway with ints
new f31d6d7 pyflakes
new d4c5b18 Merge pull request #2671 from agramfort/fix_f_oneway_int
new 263f754 Merge pull request #9 from glouppe/gbm
new 6996bde whatsnew conflict fix
new 4f57a94 MAINT remove some dead code from the LibSVM wrapper
new 3ee7b72 BUG: OneVsOneClassifier was broken with string labels
new 81336ae MAINT use TruncatedSVD in pipeline tests
new fedff32 COSMIT: simplify code
new 6ec2c8b Merge pull request #2674 from GaelVaroquaux/bug_ovo_string_y
new 0d3e15e FIX: Typo
new 06984c2 FIX: Typo
new 2f0c3bb Merge pull request #2683 from blagarde/master
new a90e8a5 FIX: Typos
new 8d7cfa0 Merge pull request #2684 from blagarde/master
new 0a8538e FIX: test failure under windows caused by temp files handling
new 745e9fc Fix OOB score calculation for non-contiguous targets
new f65b289 Merge pull request #2685 from bicycle1885/fix-oob-score
new c0b7882 DOC optimize Phimeca logo, size halved
new f02cd21 MAINT some more pointer safety in LibSVM
new 48c9d65 MAINT import LibSVM 310
new 23f2328 add a comment for sigmoid_predict in svm.cpp
new 45a8ed3 MAINT import LibSVM patch from upstream
new 7490e1a Merge pull request #2673 from larsmans/libsvm-310
new cf7cc70 ENH filter out zeros early in FeatureHasher
new b32e16e DOC: typo in binary_tree docs
new e2c0306 FIX PCA.score_samples didn't do input validation
new 8be7553 DOC missing parts of docstrings
new 674e0ea FIX Do one run with MiniBatchKMeans and explicit centers
new c12d717 FIX MBKMeans w/ explicit centers and n_init>1, part 2
new 49dc6b3 ENH show top term per cluster in doc. k-means example
new e4b2094 FIX n_init bug in k-means
new 7a22b77 ENH make_pipeline and make_union utility functions
new 5f3f794 MAINT refactor fast_dot
new 8615684 ENH Upgrade to joblib 0.8.0a2
new c681e5d ENH: reduce memory usage and IPC overhead when fitting forests by using the new threading backend
new 43cb5a5 ENH Release gil in _tree.pyx:predict
new 6a1d900 ENH Use backend="threading" for forest regression as well
new 78326ab DOC Update whats_new.rst to document threading backed for forests
new 67c5532 FIX: broken sed command under OSX in joblib sync script
new 72b5e65 ENH: parallize the BaseForest.apply method with the threading backend
new 40024f6 ENH use nostests yield construct for better error reporting in common tests.
new e8848dd enh give yielded tests nicer names
new 9775be9 Merge pull request #2700 from amueller/refactor_common_tests
new a600205 FIX suspected bug for non-hypercube make_classification
new ba1a684 FIX Low-memory cluster sampling in make_classification
new f8a4a63 FIX don't leave clusters in uint8
new bd58cf9 Remove debug print statement
new f4af1ec FIX update data-dependent test assertion
new 33b8430 Use internal sample_with_replacement rather than Python's random.sample
new 224a4d5 TST/COSMIT cleaner make_classification and fix tests
new 08debe2 FIX: Ensure expected behaviour when copy=True|False in Imputer
new c931854 FIX: Don't copy X at imputation in the sparse case
new 42ea5ec COSMIT: remove useless import
new cd4f5af Update docstring + Use np.diff
new fd2226d Update dpgmm.py
new 4508600 Update dp-derivation.rst
new b0abd2f DOC Remove target_names from boston dataset object description
new da78718 Merge pull request #2710 from eshilts/DOC-load_boston
new e9e9480 DOC add missing comment for C parameter
new 13ad2f9 DOC remove duplicate reference to example
new abc9301 Merge pull request #2702 from glouppe/imputer-copy
new 4791c48 Merge pull request #2708 from likang7/patch-3
new f72ecb0 Merge pull request #2706 from likang7/patch-2
new 60a0c2f FIX: don't force finite in imputation
new 2079732 FIX: use _assert_all_finite
new b57b3a3 Merge pull request #2712 from glouppe/imputer-copy
new a5210cf Merge branch 'master' into gbrt-enh-stackrec-greedy
new f512bd8 renamed partial_fit -> fit_more for GBRT
new 181c515 moved fit_more to warm_start=True
new 6c033bd fix: resize oob improvements, train score when early stopping
new 0d412d2 Updating copyright year to 2014
new 600be82 Update AUTHORS.rst
new 9e9a656 Merge pull request #2714 from amormachine/master
new f9104f6 warm_start semantics now fit exactly n_estimators rather than self.estimators_ + self.n_estimators
new bae41e7 fix: use estimators_.shape[0] rather than n_estimators to make predictions; what if user just changes n_estimators of an already fitted obj.
new 2dde9a5 fix: warm_start demo in narrative documentation
new 0000583 updated whats new
new bb743dd ENH speed up SVMlight loader using Cython's array support
new e0c635f cosmit
new e9e1ea5 FIX remove ``.description`` from test generators as this is not thread-safe.
new 2dbc996 ENH Define fused types so only two functions are generated.
new dd680d6 malloc / realloc checks correct rc values
new 51763c8 Merge pull request #2719 from amueller/remove_description_in_common_tests
new dce1d49 cosmit: better errors
new a8bdbff do not alter n_estimators after early stopping
new 904a526 Merge pull request #2720 from amueller/chi2_fused_types
new 36ab692 Pre-initialize all trees before dispatching
new b5b653e Merge pull request #2724 from glouppe/forest-2721
new ca55b40 FIX Use Py2.6-compatible string formatting
new a19bbe3 ENH: make forests' test_parallel_train run faster
new 4cf9865 Merge branch 'master' into DOC_olivier_tut
new b278b52 WEBSITE FIX spotify logo!
new 8082309 Typo in examples
new e4c27d5 FIX: np.searchsorted numpy bug on unicode objects also impacts 1.6.1
new 73c7de3 cosmit: better exception remove troublesome 32bit test
new 9a3c22a cosmit: better exceptions
new aaa20ca recommit joel comments
new 4e4a8a9 fix: wrong placeholder in format string
new 792a09c better test coverage in tree module
new 46c4bbb where to from here section
new 0ee004d whitespace removals
new 05d88c7 GBRT subsection for warm_start
new b8bea8e Merge pull request #2570 from pprett/gbrt-enh-stackrec-greedy
new 99158e1 olivier suggestions
new 8b9b1ee fix: remove print from gbrt test
new ae3fe45 fix: use six.string_types instead of basestring
new 834b375 uses raises instead of with assert_raises - apparently doesn't work on python3 nose version.
new ef6af87 changed PCA to truncated SVD
new 60ba427 Testing log_loss and hinge_loss under THRESHOLDED_METRICS
new 10e384c FIX: Removed redundant code
new 86b7051 TST: Test class variance and string input
new c9714b5 FIX: Changed str vs float invariance test
new 8f2d8b9 Merge pull request #2717 from Manoj-Kumar-S/test_log_loss
new a876682 Add learning curve
new 7b4b0e7 MISC remove accidentally commited file. Whoops!
new 7de3d96 DOC add learning_curve to what's new and API reference
new 1bceee0 FIX explicit type for offset variable
new 8f71e46 Handle n_features < n_informative case in make_regression.
new b3a9da9 Regenerate C files
new 9329577 Wrong format specifier used when formatting exception message.
new d32d7ed Python 3 compat
new 65460d7 Python 3 fixes in exercises
new 67d3bb2 Python 3 fixes for the second exercise
new 5847006 COSMIT get rid of deprecation warning in tree tests
new c77255f MAINT deprecate HMMs
new f309023 MAINT ignore sklearn/tree/_utils.c in diff
new b83e74d COSMIT tree: unused variable warnings and use for/range
new 7fc52ff BUG fix unchecked mallocs in trees
new 9d5d2da Merge pull request #2715 from larsmans/tree-malloc
new e81f2d5 Merge pull request #2734 from eloj/cv-broken-format-string
new 7001128 MAINT remove last trail of the ArrayBuilder
new 0b20feb Add option to restrict LassoCV to positive-only coefficients
new d6e7e51 Add option to restrict ElasticNet to positive-only coefficients; add test for this case, and the same for LassoCV
new a64ec51 TST : speed up tests + cosmit
new 7013e24 FIX : n_jobs was missing from LassoCV
new d4f66a0 update what's new
new 921dead Changed assert_array_equal() in Line 45 and 46 to assert_array_almost_equal(,,decimal=5). This has fixed the AssertionError, which occurs during the installation test.
new 0ccdc3a Merge pull request #2742 from ai8rahim/issue-2741
new 8f76f48 DOC clarify order of output in NB predict_proba
new 63f830b Small documentation fix: from CMS to VCS
new 260bdb9 TST Gini is equivalent to mse in binary classification
new 82502e5 Merge pull request #2743 from eltermann/doc_fix
new bc6ad64 Merge pull request #2744 from arjoly/test-impurity
new cdebc18 FIX don't put data in source dir in bench_covtype
new ffd1e9a FIX remove confusing BaseEstimator.__str__
new 41ae4c9 Test primal-dual relationship in Ridge.
new 33c6635 More robust test for sample_weight in Ridge.
new bac878f fix: remaining time not currectly computed
new 1c6c36b Merge pull request #2753 from pprett/gbrt-verbose-remaining-time
new 2a69266 Fixed documentation typo
new 0f70379 OPTIM MSE criterion
new a2cb257 OPTIM more optimisation of mse
new 55af57d OPTIM more optimisation of mse
new 04c7597 ENH use memset instead of for loop
new 6b40580 Typo
new 98f29cc Update what's new
new 0b7c79b Merge pull request #2745 from arjoly/mse-criterion
new d4519d2 Added multiple linear Theil-Sen regression
new fdad6d5 Merge pull request #2754 from eltermann/doc-fix-tfidf
new 18aaa26 Add mean_absolute_error to scorers.
new 62b0180 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 45f61ae Fix doctest.
new 1d7a2d4 COSMIT: remove unused import
new 1dcab45 conflict fix
new 11ec836 small fixes
new 91ae206 Merge pull request #1971 from jaquesgrobler/DOC_olivier_tut
new abe888d sphinx colon error fix
new 1357a19 FIX #1565: fix race condition in parallel pre-dispatch by upgrading joblib
new 9446e33 Update whats_new.rst for race condition fix
new a0b9695 Merge pull request #2756 from ogrisel/joblib-0.8.0a3
new 6bc5756 FIX #2645: fix 20 newsgroups downloader under Python 3
new e7e7133 ENH/FIX Change Tree underlying data structure
new 5d8b429 Refactor cv code
new 1d4d3f8 Clean up
new 37e7c0a Refactor RFE and add _check_scorable
new 2b45b7c FIX typo in docstring
new 2bc3d49 Merge `fit_grid_point` into `_cross_val_score`
new 50459fa Return time
new 712d3d0 Move set_params back to fit_grid_point
new 8d3667d Log score and time in 'cross_val_score'
new 526d1dd check_scorable returns scorer
new f95219f Clean up
new 0a000e0 Replace '_fit_estimator' by '_cross_val_score'
new 7c60251 Fix PEP8, style and documentation
new 64dbd45 Remove wrong variable names
new 0f591e7 Remove helper function '_fit'
new b1dfa07 Remove 'fit_grid_point' from 'BaseSearchCV'
new 046e20c Check substrings of error messages
new aaa4f81 Rename '_split' to '_split_with_kernel'
new b4839bf _passthrough_scorer is a function
new 5010f39 Remove '_deprecate_loss_and_score_funcs'
new 4e968a2 Check error message
new d818519 Rename _split_with_kernel to _safe_split.
new de2be61 Rename fit_and_score to _fit_and_score.
new 2074965 Merge pull request #2732 from jnothman/two-array-tree
new 0bb04e1 COSMIT: PEP8 + coding style
new 9d7e30c COSMIT: PEP8 in test_gradient_boosting.py
new 3e6402f COSMIT: Fix some PEP8 in gradient_boosting
new 9e432a8 COSMIT: PEP8 in test_imputation
new 1a887dd COSMIT: Various PEP8
new 51dab8d DOC note #2732 in what's new
new 64b65f6 Add thanks for infrastructure supporters
new 3654c2d Add a paragraph about installing a binary release in Fedora
new 7c2d243 Merge pull request #2762 from sergiopasra/fedora-package
new e54c54a Merge pull request #2761 from ogrisel/thanks
new 57916b7 Use assert_raises_regexp to check error messages
new 23fb798 BUG: dual_coef must be defined inside the try block.
new bf1635d ENH: made example/svm/plot_iris.py clearer
new b3e8a64 Added an example and documentatin for Theil-Sen
new adea283 Merge pull request #2760 from AlexanderFabisch/check_error_patterns
new 4b53258 TST: add Py2.6 on travis
new 7c3a1c6 BUG: assert_raises_regexp for Py2.6 compatibility
new 60e2053 TST: get travis to find the system packages
new fea0ceb TST: try to get travis to work with Py2.6
new 9e2f7ed TST: get travis working on Py26 and Py27
new 2ec6ed1 TST: Add Python 3.3 to travis
new 877d892 Merge pull request #2767 from GaelVaroquaux/my_master
new 93c9868 Update to mean shit clustering narrative documentation.
new 65381d2 Update to docstring of meanshift
new 683f5f1 docstring of module
new 34a3331 Fix typos found by Alexandre
new a36c72a DOC fix documentation to match default value
new 4ec4b2f ENH remove unnecessary CSR->CSC transform in text feature extractors
new 8f1dd32 python 3 compatibility fix
new 725923f added howaboutwe testimonial
new cc41d83 Merge pull request #2772 from jnothman/tfidf_no_copy
new a917a02 ENH: MultiTaskElasticNet (and Lasso) CV
new 8c3efd4 DOC make indifferent to compressed sparse orientation
new c75f0a6 Fix some typos in whats_new.rst, using ispell
new a9c55b4 DOC add link to module reference from class/function pages
new 080887e Merge pull request #2779 from jnothman/ref_sec_link
new 8b7175c Update plot_digits_pipe.py
new aed3ddd Merge pull request #2780 from ugurthemaster/patch-1
new fb43369 DOC: some underlines were too short
new e98f4fd FIX: Typo
new af1c98b FIX: Typo
new e3d7347 Merge pull request #2781 from blagarde/patch-1
new 4801f20 Merge pull request #2782 from blagarde/patch-2
new ab52527 Merge pull request #2776 from DanielWeitzenfeld/master
new c15054a Merge pull request #2775 from stefan-w/python-3-fix
new 06d7536 WIP: fix StratifiedShuffleSplit
new 41b312c BUG: StratifiedShuffleSplit not obeying n_train
new 58da238 BUG: avoid same indices in test and train
new f8e7cf1 COSMIT
new 8e162a0 Update plot_tree_regression_multioutput.py
new e532639 FIX remove reference cycles from Tree
new 86fbebd FIX dtype refcount; block resizing after building
new 065fca0 Merge pull request #2789 from ugurthemaster/patch-2
new 2111e3e svm fit numpy array indexing deprecation warning fix.
new f203953 Merge pull request #2791 from adrinjalali/master
new 87194f7 Remove 'locked', add comments
new e8fdfa6 Merge pull request #2790 from jnothman/tree_without_cycles
new 271b054 DOC + FIX mean_ in PCA
new 7c33502 ENH faster heapsort in trees
new 31491f9 ENH introsort in tree learner
new a681c9b ENH Make PresortBestSplitter cache friendly + cosmetics
new c83c450 fix numpy deprecationWarning('using a non-integer number ...') in svm
new 6a46c8a Merge pull request #2794 from cli248/master
new 5ea9aad Proper centering of alpha_grid for sparse matrices
new 6859851 FIX: Normalize=True
new b92d19f update what's new
new 9f6dbc5 Merge pull request #2747 from larsmans/tree-sort
new 7dea60d Added subpopulation parameter to Theil-Sen
new c9e049c clarify what's new
new ffec52b fix converting an array with ndim > 0 to an index DeprecationWarning
new f657d9c using floor division in python3
new 1666c4f Added docstrings for model attributes in LabelPropagation and LabelSpreading
new 5874e74 Merge pull request #2799 from charlescearl/charles-label-prop-doc-updates
new 60e3289 Fixed documentation on sklearn/tree
new 04bf96a Merge pull request #2800 from eltermann/doc-fix-tree
new 0832d14 handle the case when length of sign changed coefficients is greater than 1 in LARS algorithm
new 8ccb14a Merge remote-tracking branch 'upstream/master' into fix-DeprecationWarning
new b92b7b4 handle the case where length of idx in least_angle greater than one
new 1b73d8b DOC logistic regression attribute docs + authorship
new 6ebcf4d COSMIT fix PEP8 errors
new 5e59f4e DOC up the sales pitch for SGD
new b75e509 MAINT: Fix PEP8 warnings in sklearn/covariance
new b895586 DOC fix roc_curve docstring.
new c997cde COSMIT pep8 + full stop police
new 4ae78ca Merge pull request #2797 from cli248/fix-DeprecationWarning
new b247349 DOC: more context in embedded code
new baa3c7e DOC: more robust compilation and CSS
new e952a58 Add prototype for validation curve
new b574858 Add documentation and tests
new fc1008d Improve test coverage
new 4764245 Improve interface and documentation
new ca60a0b Mocks inherit from BaseEstimator
new 7c63d08 Correct docstring
new 849d159 Add narrative documentation
new ab41996 Improve documentation
new 1128dc7 Fix link to validation curve
new 0852a54 Add example with polynomial regression
new 5544b3e Correct and improve documentation
new 4cf2229 Improve phrasing
new b68bd36 Rephrase sentence
new fe014d9 Simplify first part of the documentation
new 4809168 Merge pull request #2768 from robertlayton/meanshiftdoc
new dbc26ce COSMIT remove unused imports and variables
new 587deb1 Minor doc example fix
new fedc3a3 Merge pull request #2820 from ankit-maverick/issue2819
new 39949ed Merge pull request #2818 from jnothman/flakes
new d83d652 Fixed FS1995 citation.
new 16e7c82 Merge pull request #2825 from bryan-lunt/master
new d6eb004 MISC plot_rfe_with_cross_validation: better comments
new 17d77ee Fix typo
new 1ada65f Merge branch 'master' into hc_linkage
new c5af7cb BUG: different distance names in scipy
new 4a4bfc5 Return scores of all folds
new bb6ad77 BUG: fix minor floating-point precision detail
new e3f1c50 DOC: grammar and spelling fixes
new 74d3fcf Merge pull request #2826 from perimosocordiae/patch-1
new 27e37a0 DOC make loss function in SGD consistent with subgradient. Comment by Martin Jaggi :)
new 6610b3d Fix documentation
new 38579e7 ENH: Py3 support
new 42d789d Merge pull request #2827 from amueller/fix_subgradient_equation
new 73246b1 Cosmit in SGD doc.
new 5029361 BUG: fix tests under Python 3
new 5afd11f DOC: improve the clustering metric example
new b53b573 Replaced abbreviated 'w.r.t' to 'with regards to'
new 82a5ba8 Fixed small typo
new 92101da Doc fix - Compiled .pyx files with Cython 0.20
new 5b1f20a Merge pull request #2831 from eltermann/doc-typo
new 2fb8bc7 Improve test coverage
new 5314720 Matching colors
new 5319994 Merge pull request #2765 from AlexanderFabisch/validation_curves
new b928cdb making adjustments to variable names and account for sparse matrices
new 016469b changing xrange to range
new cfa55d3 DOC: AgglomerationClustering doc and examples
new 4d80664 BUG: _alpha_grid undefined symbol
new a938b20 DOC: Agglomeration clustering docs and examples
new fa3edaa DOC: connectivity in agglomerative clustering
new 5ed6b26 DOC: finish touches to hierarchical docs
new 4ebf883 FIX: Weight impurity decreases with weighted_n_samples
new 31c842f TEST: add non-regression test
new 8833d59 ENH: add weighted_n_node_samples property
new 125fe3d Cleanup
new 5cc89b2 FIX: Recompile _gradient_boosting.c
new 961694d DOC: fix rest syntax
new de38475 MISC: typos in docs
new 75705e2 MISC: remove reference to deprecated Ward
new e757a67 MISC: replace 'assert' with actual ValueError
new f963317 MISC: increase test coverage and cosmetics
new 150fee8 TEST: check with scaled sample_weight
new 8974b2d Merge pull request #2836 from glouppe/tree-importances
new 76c5802 DOC: Entry for #2835 + Put together entries wrt. trees and ensemble
new 8e0b4be BF: Correct degrees of freedom in f_regression + test.
new 4d18fd8 BF in f_regression: variable naming + use assert_*array*_almost_equal.
new 4c129e5 f_regression and degress of freedom: update whats_new + minor.
new 71fa268 FIX error message with sparse precomputed kernels
new 67e21b1 Revert "FIX error message with sparse precomputed kernels"
new f54ffa0 FIX error message with sparse precomputed kernels (second try)
new 8e5055f MAINT optimize Spotify logo (- a few hundred bytes)
new 6331623 FIX restore _pairwise on SVMs
new 541f1ca Fixed incredibly minor spelling mistake
new 8c7a233 Merge pull request #2840 from earino/develop
new c72805a Merge pull request #2830 from eltermann/wrt-abbreviation
new 74861d0 Merge pull request #2750 from jnothman/no-str
new b87a2f2 What's new: group entries by topic
new ed928ad Remove superfluous AdaBoostRegressor call.
new 998a57a Merge pull request #2852 from jwkvam/adaboost_test
new 722f062 MISC: better error messages in BaseLibLinear
new 64efbd6 MISC+DOC: documentation for FeatureAgglomeration
new 26c51b7 Uniformize max_features semantics
new e368d9a TST add tests with constant features
new 5d02521 Update what's news
new d7c535f Remove duplicate what's new
new 9e4e56a /s/2013/2014: Updated project copyright date
new 8518502 Merge pull request #2857 from eltermann/copyright-updated
new d63af22 Update naive_bayes.rst
new 5ffe7c9 Merge pull request #2858 from ameasure/patch-1
new a3e5c99 s/svn/svm
new e20aebe Merge pull request #2859 from eltermann/fixed-typo
new 3c543bf Merge pull request #2829 from arjoly/maxfeatures-seamantics
new ee85da8 ENH sparsify and densify methods for CD models
new 1a3fd94 FIX "ValueError: startprob must sum to 1.0" in HMMs
new e1f8bfb MAINT Rename over/underfitting example
new 8f94ae6 PY3 fixed examples
new 03f33ba MAINT comment out unused import in example
new 94d5013 MAINT full name for @h10r
new 5f027f3 FIX error message from trees for large inputs
new 7906086 DOC: minor improvement in comments of an example
new a3878f6 Revert "ENH sparsify and densify methods for CD models"
new 3b20a02 Merge pull request #2864 from sciunto/doc
new 4a29b98 MAINT missing import_array() in isotonic r. Cython code
new 884889a MAINT get rid of compiler warnings from Liblinear
new 76206f1 COSMIT: many cosmetic comments
new 0cd5251 FIX: fix failing doctest
new 445eee2 DOC: link FeatureAgglomeration better to dim red
new 3ac3455 MISC: documentation and cosmits
new 7c621fc DOC no more "arithmetical order" for classes
new 4c370a7 BF: load_boston() return 13 features, but 14 feature names
new 8826e68 BUG: work aroundd Cython bug to build with clang
new aa66938 Fixes Issue 2751
new 6beae0a Merge pull request #2865 from hanke/boston_13features
new a23b868 Merge branch 'master' into hc_linkage
new c7aae5c ENH Cache features value for extra trees
new c6410d1 FIX: Removed coef and improved initialization
new 4403d33 Merge pull request #2866 from Manoj-Kumar-S/Iss2751
new 7324e8f FIX integer dtype for labels in DBSCAN
new 0c22cbb FIX numerical stability issue in BernoulliRBM
new 0fa9008 Fix typo in fast sgd classifier implementation comments
new ba89ed0 Merge pull request #2869 from jperla/master
new 6740de0 FIX: sample_weight='auto' for RidgeClassifier
new 122cb23 Fix citation in TfidfTransformer
new 80ccf7b Merge pull request #2877 from pmandera/tfidf-citation
new 9e8caa5 ENH: small optimization of the classification criterion
new 69b7162 ENH: small optimization to the regression criterion
new 0ba1e28 ENH speed up RBM training with scipy.special.expit
new fd54575 ENH re-instate extmath.logistic_sigmoid
new bd0cf75 FIX DictVectorizer handling of empty inputs
new 89d94ca TST older nosetests compat in DictVectorizer test
new 24dd341 putting cluster on new line to solve sphinx documentation formatting issue
new c52476a Merge pull request #2882 from larsmans/expit
new b96f354 Merge pull request #2884 from dsullivan7/clusterdoc
new 5e0ed70 [TYPO] s/migh/might/
new 3ec5632 Update supervised.py
new a12f46d Update supervised.py
new 7d1ba65 Merge pull request #2895 from kaushik94/master
new 4640608 Update plot_forest_importances.py
new 8cdd2be Merge pull request #2897 from ugurthemaster/patch-1
new b499743 DOC: update examples, use matplotlib.pyplot instead of pylab
new b0f3f1a peerindex testimonial
new 9a0ed69 Merge pull request #2909 from ogrisel/peerindex-testimonial
new 0f5685b FIX predict_proba status on SGD and SVC when disabled
new aebcb16 ENH use hasattr "predict_proba" in bagging
new 97aed28 FIX one more unchecked malloc in the tree code
new dd335cb DOC SVC.predict_{,log_}proba does not return X
new aa53f80 DOC what we call poly features are called interaction features in stats
new 0a488ff FIX OneHotEncoder: check value max when n_values is integral
new f73ce69 Merge pull request #2910 from larsmans/hasattr-predict-proba
new 8d48d45 Added parallelization support to TheilSen Estimator
new 566237d FIX: Label encoding done in compute_class_weight
new 88ecfa0 Merge pull request #2876 from Manoj-Kumar-S/fix_auto
new 276e260 ENH add sparse parameter to OneHotEncoder
new 57d9ede DOC: note about numerical precision in euclidean_distances
new caf0035 TST fix failing doctest for OneHotEncoder
new b3a8759 changing formatting of documentation
new a83fddf Merge remote-tracking branch 'upstream/master' into rbmbranch
new b80b0ea STY Simplify and avoided numpy warnings in imputation
new eb9bc96 FIX GBRT missing from covertype benchmark usage
new dabf48c DOC: Update dead link in cross_decomposition.rst
new 551ea22 Merge pull request #2917 from ariddell/patch-1
new b97fb3c MAINT drop support for NumPy < 1.6.1
new 23b3cc2 MAINT drop support for SciPy < 0.9
new 20b87f9 TST: test utils.extmath more robust
new 86a7461 Improved parallelization for Theilsen estimator
new 601b82b Merge branch 'master' into theilsen
new baae60b MAINT remove useless import
new c9e4cd0 ENH more optimizations for RBM
new 596879c Fix a minor typo: 'They requires' should be 'They require'.
new 295c5ed Merge pull request #2920 from yoni/master
new 5ce5e81 [Cross Validation] Use itertools.izip consistently across Python 2/3 when computing folds in StratifiedKFold.
new e721508 Merge pull request #2925 from ajtulloch/izip-cross-validation
new 61998ac FIX #2924: make lobpcg test pass with reference and ATLAS impl of LAPACK
new 8eeda19 [tests] Use Python 3 zip/Python 2 zip consistently in tests
new 43da4ad ENH/TST remove unnecessary sorts and complete testing for sparse median
new dc27992 MAINT: remove our solve_triangular
new f6d3e31 MAINT: commit generated code
new 33a4538 FIX + TST stability problems with scipy.special.expit
new 1b67fe3 MAINT: scipy 0.10 and 0.11
new 93e5f32 Add test for _safe_split with pre-computed kernel.
new 10bfa55 Fix test failure on Python3.
new 13c477f More stable test problem for eigen_solver='lobpcg'
new 2a4402b DOC: rmk different feature scaling in agglomeration
new 39f3a76 Merge pull request #2199 from GaelVaroquaux/hc_linkage
new 0d96a48 Merge pull request #2929 from ajtulloch/izip-tests
new 2bac9eb Merge pull request #2931 from GaelVaroquaux/rm_solve_triangular
new c8a372b Update plot_svm_regression.py
new 092b50e BUG: avoid NaNs in arrays passed to scipy.linalg
new 6114260 FIX input validation in Nystroem
new 034808d FIX Nystroem input validation, again
new 232fad1 DOC: docstring formating
new 4437d56 FIX error handling in SVM
new c19d967 Cleanups and corrections for Theil-Sen regression.
new b4ca1d6 COSMIT Remove unnecessary assertion
new e54af63 BUG: avoid NaNs throwing off class probabilities
new ac0f46f fixing warning ignore type
new ad22a3b adding test case
new bd1788e DOC: fixed docstring formatting
new cbc005f Added reference to function
new c523d1b Merge pull request #2928 from ogrisel/fix-linalgerror
new 25af09d Merge pull request #2943 from jyu-rmn/patch-1
new 392630d conform to pep8
new 4b32c8f Added :func: reference
new 1ebb228 Added :func: reference
new 27cde31 Merge pull request #2945 from maheshakya/olivetti
new 79a8012 FIX for numpy compatibility, code clarity
new 0d8c2d7 ENH: update installation instructions for Ubuntu / Debian
new 64fd085 FIX decouple spectral embedding from TransformerMixin
new 8653c20 Removed subpopulation=None option in TheilSen
new 960c45b xrange fix for Python3 in TheilSen
new 0eda5bf FIX Theil-Sen unittest for older Scipy Version
new d133712 FIX that some functions in Theil-Sen were public
new d1d221b FIX usage of linalg from Scipy in Theil-Sen
new 61a5195 FIX: Let Theil-Sen handle n_samples < n_features case
new 13d9212 FIX: Python 2.6 format syntax in Theil-Sen
new 3e8ca8c Vectorization of theilsen._modweiszfeld_step
new 1d75896 FIX: Parallel unittests for Theil-Sen estimator
new 3753563 ENH - Improve performance of isotonic regression
new 6091d7d DOC fix rendering of fetch_mldata example
new 28c8d0b MAINT warn of future behaviour change proposed in #2610
new 0afa596 changing computation of batch slices to np.array_split
new abaf100 WIP add n_constant_features argument
new 3e123a1 WIP add constant_features array
new 57f93fa ENH avoid splitting on constant features for best splitter
new 25e2c19 FIX bug with BestSPlitter + ENH avoid searching for a split on constant features
new e509724 ENH avoid trying to split on constant features for presort best splitter
new 69d4857 COSMIT
new b815e90 COSMIT
new 2f1fa9b FIX deallocate memory
new 44fe814 FIX proper inititalization
new d9d1b71 ENH use memcopy instead of while loop
new 42d7d08 COSMIT
new e3415ea FIX bug with invariant
new 4ab12f4 Simpler swap
new 88eb3cb ENH: add explanatory coments
new 7b4dcb8 pep8
new 6cac2ed ENH remove unused constant
new a9f21a9 ENH document and rename EPSILON_FLOAT
new 7419965 DOC improve documentation for the splitting algorihtm
new c49294c DOC verbose documentation of features and constant_features
new d41fb76 Implemented median and constant strategies in DummyRegressor
new 9879c95 Depreciated y_mean_ and y_median. Code is formatted according to pep8
new 5503494 Removed extra lines. Added deprecation warnings for y_mean_
new 66e2fa4 Updated document to reflect changes in the DummyRegressor
new 9799a3d Fixed value error. Scalar values are allowed for constant when not multioutput
new 815af68 Done refactoring and necessary changes for multiouput constant strategy. Added tests and updated the documentation.
new c20c16a Changed value error messages to be more informative in constant strategy.
new 3755d5c Edited the documentation-unordered list
new b047518 Implemented additional test cases. Removed the check for lists and numpy arrays in constant strategy.
new ee59a0c Refactored the code and added quotes
new a37aa8f Recreated test cases with random state
new 5158913 Updated tests. Fixed flake8 errors
new 5348177 fixed pep8 errors in dummy.py
new 8320331 Changed to random_state
new f1d95f2 Changed documentation in DummyRegressor
new 18d62d7 Rename EPSILON_FLOAT -> CONSTANT_FEATURE_THRESHOLD + DOC n_drawn_constants & n_found_constant
new 57f73f1 DOC more comments about features and constant_features
new 3412f29 Removed one of 'is a regressor' part in the DummyRegressor documentation
new d576ec8 pep8 corrections
new 9b92c45 DOC explain invariant with constant features + DOC clarify comments
new e6c8a50 DOC more comments of the splitting algorithm
new 302a3c0 Merge pull request #2886 from maheshakya/dummy_regressor
new 721efea Update what's new
new ac8cbb1 MAINT remove leftovers from solve_triangular
new d9d02aa COSMIT get rid of warning from expit import
new b374e7e FIX: TheilSen supports old Numpy versions
new 3324a41 COSMIT hinge_loss: better input validation
new 55ef5a4 apply the fix closer to the source of the issue
new acd2316 Merge pull request #2941 from perimosocordiae/patch-1
new b37958b Merge pull request #2875 from arjoly/et-skip-invalid-
new 9a995db Update what's new
new eb04ccb Implemented a check for ndim exceeding two in the utils.check_arrays function
new 26d3485 ENH: Speed up sparse_coordinate descent
new 6f157bf Fix silhouette score n_labels
new e84f4d0 Added number of labels for debug and regexp in test
new 2fe838c FIX stability in HMMs
new a48c51b Removed unnecessary variable n_dim in utils.check_arrays, removed unnecessary parens in same place
new b911a5e Replaced cython calls for dot operations with BLAS calls
new c587d4f Trivial change in utils.check_arrays from > 2 to >=3 in attempt to rebuild Travis CI
new 14b435c Merge pull request #2938 from jnothman/clean_impute
new c530f5a FIX for early numpy where astype(..., copy=...) unavailable
new 5a92c1d Merge pull request #2958 from hamsal/check_arrays_n_dim
new 0abe21e MAINT remove some deprecated stuff
new 4c6e026 MAINT final occurrence of "Scaler"
new eef9fd5 Fix typo in linear_model documentation
new 524f4cd Merge pull request #2960 from ethanwhite/docs-typo
new 878cd8b Speed up using typed memory views
new 720b77f Merge pull request #2951 from Manoj-Kumar-S/speed_sparse
new 1d0da8a staged_predict predicts classes, not probabilites
new e1edcb1 Merge pull request #2964 from abhishekkrthakur/patch-1
new ffb89eb Added _LearntSelectorMixin in BaseGradientBoosting
new 08b82f8 TEST: fix test_forest:test_boston (#2965)
new 71a50af Minor grammar fix.
new b8f9835 Removed duplicate word and corrected grammar in decomposition documentation.
new 71cba01 typo
new 69a39a3 Merge pull request #2971 from jyu-rmn/master
new 71ce1d5 DOC: the search for a split does not until one valid partition is found
new adb44cd add datarobot testimonial
new b981a85 Merge pull request #2973 from pprett/datarobot-testimonial
new bfb4b7e DOC/MAINT: clarify cblas/README.txt
new b0e11f5 Added extra check to feature importances
new 99f2860 Merge pull request #2966 from maheshakya/feature_selector
new 9e2071b DOC clarify Imputer constructor: arbitrary strings not accepted
new b90654a Merge pull request #2959 from Oscarlsson/silhouette_score_label_number
new 751049e FIX: np.abs might not work on scipy.sparse matrices
new 6af42a7 DOC Remove redundant parameter docs
new 096070d MAINT remove deprecated functionality from SGD
new 85922d3 ENH use threads instead of multiprocessing in SGD
new f434c8c Clean tree builder interface
new 73f0271 ENH inline sme function
new e22045a ENH avoid serializing the splitter & criterion + avoid storing tree parameter in the tree structure
new 0334d76 ENH avoid serialising the random_state in the tree
new 07d6e8d ENH clean public tree strucure
new 8f6b753 ENH for the tree structure max_depth is part of the inner structure
new 39a2a76 ENH stricter separation between tree builder, splitter and criterion
new 203a598 ENH add a dedicated constant for min_impurity_split
new 8534989 Document maximal depth of the tree
new 24db12c ENH stop splitting for best first tree builder if pure node + change strict to unstrict inequality
new 9d728f3 ENH stricter separation between splitter and criterion
new 2c82c8a FIX tons of flake8
new 5839dda DOC document max_depth of TreeBuilder
new 84c3742 ENH re-generate c file
new bb5f643 MAINT use CBLAS instead of Fortran API in Liblinear
new 08a7f67 fix issue #2901
new d413229 Merge pull request #2981 from matrixorz/master
new 61d9c5e TST skip `test_k_means_plus_plus_init_2_jobs` on Mac OS X 10.9. See GH-636
new 88a85e0 TST fix sklearn.ensemble.tests.test_bagging.test_parallel
new 20c45ae TST move Mac OS checking utility to sklearn.utils.testing
new e87653d TST skip SparsePCA n_jobs!=1 test on Mac OS X because it hangs
new 5c120f5 adding test for csr data for partial fit
new eb037dd pep8-ing
new 7776d67 PY3 file handling
new db0b223 BUG restore joblib logging behavior
new 5dbb039 BUG joblib writes to wrong dir
new cc7f7d6 DOC trees/ensembles: class labels need not be integers
new 3a6b834 Add space to be consistent with _tree.pyx
new a4680b1 DOC document internal tree class
new 2e5b210 ENH rename CONSTANT_FEATURE_THRESHOLD to FEATURE_THRESHOLD + revert some pep8 fix for readability
new d774953 DOC missing words
new d9bd47d Merge pull request #2977 from arjoly/tree-cleanup
new 874235c removing copy() and adding tests for multiple forms of sparse matrices
new 696cf55 removing tests for multiple sparse matrix formats
new 0b10f49 DOC: Comparison of Theil-Sen and RANSAC
new d40eeb0 DOC: wordings
new ca9a275 DOC: Fixed typo in Theil-Sen example.
new 8ff19bd Preserve CSR storage format when input is CSR in sparse_center_data
new 675babb FIX: Some coding style fixes in TheilSen unittest.
new 61e5966 Merge pull request #2991 from Manoj-Kumar-S/csr_sparse_center
new 279dc90 FIX: Reduced the runtime of the TheilSen unittest.
new 39efe30 DOC: Small corrections in the docs of Theil-Sen
new b40e58e Cosmit
new 0043b62 MAINT: point out HMMLearn
new 689bf29 DOC: improve Thiel-Sen vs RANSAC example
new b2366b2 ENH: speed up theilsen
new 4de5e6c Merge pull request #2955 from larsmans/less-blas
new 261da69 TST remove n_jobs=-1 usages in tests
new 3bc3d9f ENH pairwise L1 distances for sparse matrices
new faba875 DOC example rendering
new 39b859b FIX TfidfVectorizer to no longer ignore binary param
new 3f2547e DOC: add OkCupid testimonial
new 32fefb7 Merge pull request #2997 from GaelVaroquaux/okcupid_testimonial
new c49723d Merge pull request #2982 from kmike/fix-macos-hangs
new 43d76ac DOC: Explanation when TheilSen outperforms RANSAC.
new 7ed792f adding test for csc and csr sparse matrix
new b238b11 DOC use hyperlink colour when in tt
new b4625c7 Merge pull request #3003 from jnothman/hyperlinked_tt_colour
new 9627853 adding change to whats_new
new 90ce739 FIX: more robust skip of implicit constructor
new 3c753a3 Merge conflict in whats_new.rst
new e77fc16 Merge pull request #3006 from ogrisel/fix-implicit-init-introspection
new 26d6f8c MAINT don't use Perl in Makefile when sed suffices
new 785e3ef ENH: Refactoring and optimisation of sparsfuncs.pyx
new 8cf30f1 ENH: Optimise sparsefuncs a] Removed numpy overhead in finding mean b] Removed enumerate c] Added tests to test_sparsefuncs d] Replaced multiple looping with a single loop
new bbb8f1d Moved sparsefuncs to sparsefuncs_fast
new 22c412d TST: Added tests for non-CSR/CSR format
new c1003ec DOC heapsort is not stable at all
new aeb1dcd FIX cross_val_score to take y as a list
new 6b38d3b FIX cross_val_score to take y as an *optional* list
new d0985e8 Merge pull request #3007 from Manoj-Kumar-S/refactor_sparsefuncs
new 2b2c5b2 FIX: np.random.randint expects signed 32 bit integers under Windows
new b7aa549 FIX sed usage in Makefile
new eb10c4c FIX: numpy mtrand does not accept Python long instances under Windows
new f1e2e1c Fixed SelectKBest corner case: k=0
new a3f81d9 Merge pull request #3010 from griffinmyers/fix-select-k-best
new 4c4cb7a FIX: make python setup.py clean also delete __pycache__ folders
new 5857720 FIX: remove casting warning under Python 3
new 86c07b5 FIX #3014: use a different folder for covtype data under Python 3
new 033ae09 FIX: fix build under Python 2.6
new eb39ff2 BUG FeatureAgglomeration meaningless for no samples
new 070f01d FIX Makefile to use Perl again
new 32c843b COSMIT: pep8, trailing spaces
new 4c10d9c Fix ValueError: Buffer dtype mismatch, expected 'INTP' but got 'long' on win-amd64
new 7c979f9 Merge pull request #3017 from cgohlke/patch-2
new c95fcd0 FIX MSVC compile error C2036: 'void *' : unknown size
new 627c564 TST: Fix ValueError: Buffer dtype mismatch, expected 'npy_intp' but got 'long' on win-amd64
new eb7e86a TST don't run fast_dot tests on numpy>=1.7.2 + pep8
new a786e12 TST/COSMIT tests/comments for [sparse]center_data
new fbe974b DOC: tfidf is actually tf*(idf+1) = tf + tf*idf
new 3445813 COSMIT: More readable drop for good test
new fec2867 FIX: checked in bad assertion in the last commit by mistake
new 2495327 Remove redundant yet unstable test_spectral_lobpcg_mode
new 58ffba9 TST: more robust test of dropping in Lars
new 9c80d11 TST: relax warning class checked in lars
new 1c73c69 TST: lars tests: more brutal ill-conditionning
new c50cbbd ENH: make CD Lasso raise ConvergenceWarning
new 13f82ac Merge pull request #3030 from ogrisel/fix-lars-drop-for-good-test-failure
new 86f8577 DOC: clear up the big elastic net confusion (I hope)
new 42663e4 Merge pull request #3025 from ogrisel/remove-unstable-lobpcg-test
new 0834a55 ENH: stable test + catch warning + pep8
new 8d04380 ENH: more robust test_toy_bayesian_ridge_object
new 0dc5f37 ENH: configure travis to also test old numpy & scipy
new 80ef9eb DOC: add some header doc to the travis scripts
new e538a85 More informative numerical error message in SGD
new 1f71224 cosmit
new 140488c DOC: Fixed roc_curve docstring
new 4c4bda3 Merge pull request #3035 from ogrisel/test-sgd-stability-error
new 7554c36 Merge pull request #3022 from ogrisel/travis-old-numpy-scipy
new 9c51bc9 MAINT remove _label attribute from SVC.
new 269afc1 FIX numerical stability issues on 32 bit platform
new 719e3f0 MAINT lazily import scipy.cluster
new 91a45af ENH micro-optimize a few tests
new e6003bc ENH micro-optimize fast MCD
new 05807fd FIX random_state validation on c_step
new 912823f DOC mention "shape" in AP docs
new c0657ce ENH less copying in validation for neighbors
new deff716 FIX safe_asarray to handle LIL, DOK formats
new c7519ee TST safe_asarray for dok_matrix and lil_matrix
new 8e5b679 DOC: website: feature selection on front page
new e1d4df4 FIX loss function example
new c7bd7a3 DOC: clustering: merge discussions of k-means and inertia
new 070d7a6 MAINT remove unsupported documentation formats
new b08d193 DOC: move mean_shift docs to MeanShift
new d954846 Merge pull request #2952 from jnothman/future_warn_two_labels
new fb795eb ENH factor out squared norm helper
new 50e35b5 Now capable of treating sample_weights in feature space
new da95ad8 FIX: Set correct impurity values in BestFirstBuilder
new 2633774 PEP8
new 7b46c13 Merge pull request #3049 from glouppe/tree-bestfirst
new 60b3120 target is response, not explanatory
new 224d769 typo: "fot" -> "for"
new 157a4d9 Merge pull request #3055 from ajschumacher/patch-3
new f617253 Merge pull request #3053 from ajschumacher/patch-1
new 61dd4b4 FIX: weight impurity improvement by the size of the node
new 698eafa DOC: better doc for impurity_improvement
new dcc6cc1 ENH: declare weighted_n_samples
new 57a743a ENH: rename Node attributes to avoid confusion
new 45c0f04 ENH: rename normalizer -> weighted_n_samples
new 9f0828a ENH: renamed things too fast...
new 7ce38f4 ENH: better API for passing weighted_n_samples
new e6e7acf typo: "requiered" -> "required"
new 68f013a Merge pull request #3057 from ajschumacher/patch-4
new adc24fd DOC no input validation in constructors
new 1d2baf8 ENH: Add dynamic maximum trial determination to RANSACRegressor
new b906d53 DOC: typo: 1e-2 is 0.01 not 100
new b6eedcc DOC remove import scikits.learn from tutorial
new 3f9dff9 FIX: Add allow_nans option to check_arrays
new efd610d ENH: remove unused variables
new c3ab3ba Merge pull request #3056 from glouppe/tree-bestfirst
new e841d9d TST: Switch from python 3.3 to 3.4 in travis
new 6b91f6d Merge pull request #3059 from mdbecker/update_from_33_to_34
new c6fb578 updated AMI documentation for issue #2686 .. _clustering:
new f54ad81 [DOC] Updated install instructions for Arch Linux
new 0d15cb2 Improved plot digits classification example.
new f1c8dcb update ami doc for feedback on PR
new 8d78111 Merge pull request #3061 from jess010/ami-docs
new 2e03618 <MRG> Doc generation works in Python 2 and 3
new f4d4d84 FIX Move pooling_func to constructor.
new 2c17db1 [MRG] Addressed comments
new 8307eee Ridge regression now can use sample_weights in feature space. Summary commit over around 20 commits to avoid failing tests
new 4a3c44e FIX: AdditiveChi2Sample can be initialized with sample_interval, #3068
new 4dd36b3 Fix merge conflict and missing URL ref in whats_new.rst
new c039705 [MRG] Addressed comment, fixed open-ended except
new 24f0a09 DOC Fix ``copy_X `` default in documentation
new b88cec5 Merge pull request #3070 from luispedro/fix-enet-doc
new a94b82c Merge pull request #3062 from abatula/archlinux-install-doc
new 3c1db12 More Py3 fixes for sphinx build
new 94b800d Merge branch 'python-3-sphinx-fixes'
new 6f6de86 Merge pull request #3063 from chalmerlowe/improved-digits-example
new 6982977 added tests for sparse matrix inputs to BaggingClassifier and BaggingRegressor
new ba352bf open iris files with statement to avoid ResourceWarning
new a32eb88 FIX: One more PY3 fix in the documentation generator
new f014b69 Add tests for the sample_interval in #3069
new 65bbe9e plot_adaboost_multiclass.py: handle case where boosting terminated early. Add missing author on other boosting examples.
new f260259 xrange -> range
new 64f3026 Merge pull request #3078 from ndawe/examples
new 6384f2d Merge pull request #3074 from msalahi/iris-file-warnings
new 9f07963 FIX: typo in gen_rst.py
new b70a481 FIX: More robust test_extmath.py, compatible with older numpy
new 5ebba54 Fix the pep8 violations
new 00bb7a4 TruncatedSVD: Calculate explained variance.
new a30b2fd DOC: Remove dead link
new 6441caa ENH: Compute lower number of points by default
new e4f9b5b Improved the learning curve example.
new a63da37 Fixed style errors detected by pep8.
new 6b2caf0 Merge pull request #3069 from ssaeger/issue_3068
new 4009769 updated authors
new b965452 DOC: Change URL-based link to sphinx :ref:
new 2e85d0a Merge pull request #3085 from eickenberg/update_ridge_authors
new 4605439 Merge pull request #3082 from ElDeveloper/install-link
new 47080ec Merge pull request #3067 from mdbecker/truncated_svd_calculate_explained_variance
new d31dee1 BaggingClassifer/BaggingRegressor tests for sparse input
new 9931e34 Authors: Update based on #3067
new 56a251c Merge pull request #3083 from sdenton4/enh_learning_curves
new 4205d1f Merge pull request #3076 from msalahi/sparse-bagging-tests
new ea91673 Merge pull request #3086 from mdbecker/update_authors
new 6c0d41a FIX: remove deprecation warnings in learning curves under Python 3
new a03abd6 Merge pull request #3090 from ogrisel/learning-curves-warnings
new 9792624 COSMIT: use plural, there are 2 learning curves
new f8aeecb Update testimonials.rst
new 4c41b51 adding lovely logo
new f2fa887 Merge pull request #3066 from denisgarci/agglomeration-transform-constructor
new e9d660d add sample_weight to base score and weight_boosting staged_score
new 2cdf283 weight_boosting: unneeded np.copy
new 3965205 weight_boosting: include sample_weight in test_staged_predict
new c5a0ee4 metrics: add sample_weight support
new 9cac887 rm (default=None)
new 93f2b07 require sample_weight support for binary_metric
new 4c13257 newline
new b9371fa atleast_2d.reshape -> reshape
new 57c18e4 weighted metrics: fix sample_weight handling for average=samples
new 9762d59 format
new 4657705 metrics tests
new b4df4cd doc: fix default
new 56afa3e weighted metrics tests fixes
new 43e225b np.sum(np.multiply( -> np.dot(
new 08669f4 update whats_new.rst
new 9df5626 add test_base.test_score_sample_weight
new 9cc38dd sample_weight metrics tests: add missing micro and macro averaging for precision, recall, and f-score
new 3c9e458 TST define only one list of name for sample weight invariance testing
new 57f906f Typo: thepath -> the path
new e247a5b Merge pull request #3096 from ash211/patch-1
new 7e341ab FIX missing comma in METRICS_WITHOUT_SAMPLE_WEIGHT
new 069bfac Add artwork with reference to logos in about.rst
new feb6eb1 Merge pull request #3101 from fabianp/logos
new 4d9a67f DOC Comment on thresholds[0] for roc_curve
new 463cea5 BUG: test_lasso_lars_vs_lasso_cd_ill_conditioned
new 5119d68 ENH: Swap rows in sparsefuncs
new aac2f4e PY3: fix map usage in ensemble.partial_dependence
new 7c140a1 COSMIT six.{map,range} usage in partial_dependence
new 924db9b Made the following changes a] Replaced numpy slicing with concatanate b] Added swap_sparse_column
new ffc0fa6 DOC advertize GenericUnivariateSelect in the narrative documentation and api
new 3a4edd0 Merge pull request #2936 from ugurthemaster/master
new 31d438e COSMIT: Replaced ptr1/2 with start/stop
new 4d5aebf typo
new 3a881c7 wrap lovely testimonial's paragraph
new b3affdb Merge branch 'pr/3091'
new 1e5e7e1 failing test for wrong solver exception
new a8e3d99 Added raise statement in ridge_regression solver check
new 9a91431 FIX raise memory error if constant_feature can't be realloc
new 6945d5b Merge pull request #3116 from eickenberg/ridge_wrong_solver_exception
new 02b59de COSMIT: rng.permutation rather than rng.shuffle
new fc634f9 Made the following changes 1. Minor changes to docs 2. Replaced swap with inplace_swap
new b842d4d Merge pull request #3104 from MechCoder/swap_sparse
new 48e2b13 Update numpy and scipy requirement
new 1efb594 Change the order of test_score and train_score in the _fit_and_score docstring to reflect what the code actually does
new 29e9ed1 Merge pull request #3127 from rmcgibbo/_fit_and_score-docstring
new 0dbbf19 DOC random_state is an arg to LogisticRegression
new 9d1a850 pep8 remove unused variable
new 1f9c9ae ENH: use setuptools for bdist_wheel command
new 17bca23 DOC a note on shuffling for cross-validation
new b67ba03 ENH shuffle option for StratifiedKFold
new 3ab286a DOC shuffled StratifiedKFold now in whats_new
new ba922d1 BUG: fix doctests
new c008b0b DOC: fix restructured text
new 65bb024 FIX MemoryError raising in trees (+test)
new db51f7f DOC mention that train_test_split returns a random split
new 992899f Merge pull request #3133 from kmike/patch-2
new 0651d73 Using the 'is' token compares identity; this should not be used for string value comparison.
new 5aa5357 Merge pull request #3134 from jrouly/string_values
new 880bf96 Update working_with_text_data.rst
new 1928f6f Merge pull request #3135 from ugurthemaster/patch-1
new 4464a56 Add FAQ to docs.
new c7d912b removed sklearn, removed statsmodel, capitalization in SciPy
new 9926867 Add GPU support (there is none and will probably be none) to faq.
new 9c69e2b DOC faq formulation
new 5e5ed7a typo
new 477b47e DOC: add PyPy support to FAQ
new 528c75b DOC typo
new e58405d MAINT remove redundant class hierarchy + fix api perform parameter check in fit
new 9a14d37 DOC fix example in univariate selection (fix issue #3132)
new defa6c4 FIX testing datasets have too few feature for default of SelectKBest
new db4230a TST improve parameter checking + use nose assert_ functions
new 185beb3 DOC remove comment thanks to @jnothman
new 494a91b Merge branch 'simplify-fselection'
new ac9bfdb MAINT make export_graphviz more exception-safe
new 5d47cfc Improved formatting of unsupported sparse matrices in swapping
new 1094149 Merge pull request #3140 from MechCoder/small_fixes
new 2a40a4e Revert "COSMIT skip some repeated computations in k-means"
new 9d18b3b DOC grid_search_digits.py does no do nested CV
new f097dd1 MAINT: ignore coveralls failures
new 0d1bdea Merge pull request #3145 from ogrisel/travis-coveralls
new 6430e19 TST MiniBatchKMeans with many reassignments
new d62971d DOC L1 distance works for sparse matrices
new 3e4382c added patch changeset_36ba287b29f3d039b8ecb5194dae1c47cf24641a.diff to "cherry-pick" 36ba287b29f3d039b8ecb5194dae1c47cf24641a (TST: fix test on scipy dev version)
new b6b136b changelog
new 2244098 Updated examples to use pyplot for plotting instead of pylab
new 5e20b8c Fixed pep8 violations. Some 'line too long' errors still remain.
new 7d10d98 Fixed some PEP8 violations even present in master branch, in examples/
new 248cf69 MAINT remove default values from private funcs in GMM
new 3716e88 ENH faster sampling in GMMs
new 96e9275 Merge branch 'pr/3120'
new c6b7e3b FIX numerical stability in GMM with eigh sampling
new c2a3296 Merge pull request #3151 from rajatkhanduja/fixing_examples
new 99f14e2 adding conditional import to lfw.py for python3 support
new cca6fc7 Some more examples updated to use matplotlib.pyplot
new 7263d58 Modified example 'plot_stock_market.py' to use matplotlib.pyplot
new c944113 Merge pull request #3152 from jdowns/lfw-conditional-import
new 6937fce Merge pull request #3154 from rajatkhanduja/fixing_examples
new 8dc8673 fix wrong confidence interval
new 325e998 Extend utils.sparsefuncs: inplace scale and axis min/max
new 974fb95 Remove HMM examples
new 6469483 Adding string={pearson, spearman} option to increasing argument in IsotonicRegression.
new 031e5e7 Adding increasing and decreasing tests for both Pearson and Spearman increasing argument options
new 8523766 Merge pull request #3156 from IvicaJovic/fixes
new 795a616 FIX: use clip(0) instead of abs()
new 4a04b3f DOC : fix alpha docstring in dict learning
new 42920cd Refactoring increasing_bool set into _check_increasing method
new fb9357e PEP8ing isotonic tests
new 5572775 PEPing isotonic regression
new 645863e DOC : really fix alpha docstring in dict learning
new d565386 Docstring style changes
new 1f00663 Revert "DOC : really fix alpha docstring in dict learning"
new 7c9a353 FIX unused pos_label parameter in metrics.precision_recall_curve
new 3d04309 Change arguments to increasing={'auto', True, False} and default to 'auto'; implement Fisher transform and warning on 0 \in CI
new 1b2a194 Adding test for CI check and removing Spearman/Pearson-specific tests.
new 6eb98d9 Minor docstring cleanup
new e730a6d Minor docstring cleanup
new f63e42e Docstring fix
new d8099d6 Replacing the non-test .todense() methods with .toarray()
new 724b63a Replacing the test .todense() methods with .toarray()
new a4fd3a5 Improving tests to affirm no CI warnings are thrown when appropriate
new 3b79250 Matching CI calculation and docstring with reference
new 8186e33 Fixing docstring
new 50d40fb FIX : omp default param could fail
new 4550aae ENH : use local seed + avoid warning
new a015c4a FIX: ENetCV and LassoCV now accept np.float32 input
new d9cc662 Merge pull request #3178 from MechCoder/Iss3174
new 09e6e35 Refactoring check_increasing, ensuring that increasing_ is only set on fit/fit_transform, and fixing rho \in {-1, +1}
new e2d4c67 Reorganizing tests to isolate check_increasing from increasing='auto'
new 5cb9b76 TST Refactor test of sklearn/ensemble/tests/test_forest.py
new c7a1db6 Fixing redundant np.asarray(X.toarray()) in metrics
new b9dc77d TST refactor oob score testing
new 4c3e7a9 Improving tests based on feedback from @GaelVaroquaux
new 61a89ba Improving tests based on feedback from @GaelVaroquaux
new 01d4bd2 Fixing matrix vs. vector notation for X
new 40048fa Merge pull request #3182 from arjoly/test-forest
new 216b4e5 CI: make travis run the doctests
new 8e24535 Merge pull request #3189 from ogrisel/travis-doctest
new 95619a9 DOC multiclass: OvO needs predict_proba or decision_function
new 62e4975 FIX: more Python 3 fixes for doc/gen_rst.py
new 92add1d FIX TfidfVectorizer exports idf_ attribute
new d0fc60d Merge pull request #3184 from YS-L/tfidfvectorizer_idf
new 1a05e6d FIX: euclidean divide in plot_image_denoising.py for Py3 support
new bbd7d91 PY3: more gen_rst.py fixes for Python 3 compat
new f2766ec COSMIT: remove unused import
new edc5484 MISC: use precomputed variable
new d428606 MISC: update comment in source
new 337d9e6 Typo.
new 327abfe DOC: better docstrings for PCA models
new 0cb8377 Merge pull request #3192 from mmaker/master
new 8725373 DOC fix typo
new 73afdf1 Fixing space in docstring for default value
new 16bf2f4 Adding check_increasing to classes.rst
new 3fe9641 Adding no-warning assertions to IR auto tests
new 27a7d36 Additional .todense() -> .toarray() fixes
new f4506d0 Fixing small formatting issue in doctest
new 6c86a0e FIX: windows test failures in test_ransac
new 4a4d8e7 Fixing classes.rst
new 40597f1 Merge pull request #3169 from mjbommar/issue-3167-eradicate-todense
new 123aa8a Adding Notes section to img_to_graph and grid_to_graph re: np.matrix->np.ndarray
new ec38713 Adding what's new item for sklearn.feature_extraction.image np.ndarray changes
new 110dd5c Merge pull request #3193 from mjbommar/issue-3167-eradicate-todense
new c5fc383 Workaround for andrewclegg/snake-charmer#12
new c217d10 Fixed typo
new b3cda92 Merge pull request #3196 from andrewclegg/master
new 9094078 Switching from np to math for scalar float ops
new 4baaaf3 Merge remote-tracking branch 'upstream/master' into isotonic-increasing-auto
new 5cef947 Merge pull request #3157 from mjbommar/isotonic-increasing-auto
new 8f2e208 Explicitly invoke the Python interpreter.
new 46d27f5 Use double backticks.
new bf5798e Remove extraneous period.
new eb86ff8 Explain the -1 Python syntax.
new bca3a4c Additional docstring fixes for issue #3167
new 6a7786a Merge pull request #3197 from mjbommar/issue-3167-eradicate-todense
new 5710edf Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 0e0da77 Adding tests to handle out_of_bounds parameter.
new 2629fc7 Adding out_of_bounds parameter to handle values outside training domain
new b929656 Update plot_adaboost_regression.py
new c5fa168 Merge pull request #3200 from ugurthemaster/patch-2
new c1e5f94 ENH: PEP257 style + small code simplication
new 376a9ac Adding test for out_of_bounds argument validation
new eddad02 ENH: more explicit failure messages in test_common
new 4884482 Reworking .transform conditionals for out_of_bounds argument
new 5148b50 PEP8 fix
new d0f6052 Merge pull request #3199 from mjbommar/isotonic-out-of-bounds-2
new daa1dba Merge pull request #3198 from apw/patch-1
new b8073a4 Improved documentation of the "estimator_params" argument for RFE and RFECV.
new 83d56f2 DOC: DBSCAN: there's no calculate_distance function
new e75b2c4 Merge pull request #3208 from staubda/improve_RFE_doc
new 85bdeba DOC: improve feature_extraction.text docstrings
new 181ffb8 MAINT: joblib 0.8.0
new 1e64b7b Merge pull request #3212 from ogrisel/joblib-0.8.0
new da43e4c Add t-SNE
new 7a1f84e Generalize with average of nearest neighbors
new b88c7e2 Shorten documentation of perplexity
new 4f2154a Compare t-SNE with other manifold learners
new 53e015c Simplify optimization
new a2d209c Refactoring
new 67ad82f Add first test
new 56087e8 Test gradient descent
new 6551b5d Test binary search
new 8c969cb Add t-SNE to other examples
new 58717d3 Add more tests
new 63b5177 Use regular expressions
new 405bf17 100% test coverage
new 5de4c7d Remove example with digits dataset
new 006087f Rename dist to affinities
new 43b41f1 Modify learning schedule
new 02f7d7b Fix tests
new 1b668d4 Explain example
new d7e915a Rename attributes
new a2510de Document attributes
new 0567782 PEP8
new 8d616fd Update documentation
new b73ca8d Do not stop too early
new 6a0ba6c Describe how to set the learning rate
new 8d0fada Remove generalization
new 5cb4fa2 Add section in narrative documentation
new f628081 Optim: small optimizations
new 25a8c5f Adress Gael's comments
new cd5bf2c Do not use global random number generator
new 270d4d6 Replace squareform(pdist(*, "sqeuclidean"))
new 58bcbaf Add optional PCA init to t-SNE
new f378fc5 Adress Olivier's comments
new b59b844 Mention Barnes-Hut-SNE and fast optimization
new 91e95df Integrate PCA initialization
new 08c17d2 Use PCA initialization in examples
new 6487885 Fix docstring
new 39fe650 Use euclidean_distances in original space
new e718603 Mention TruncatedSVD and clean up (PEP8, Pyflakes)
new 222250d Affinity must be 'precomputed' or 'euclidean'
new cda03fa Rename arguments
new 6b353c4 Allow sparse data
new f59e08f Correct examples
new 48c8ee6 DOC: Replace GT/LT with angle brackets for inner product
new b041039 Merge pull request #3217 from bwignall/innerprod
new 92c4308 ENH Dense pipeline support for RandomTreesEmbedding via sparse_output param
new 46aebf1 ENH: use partial sort for kneighbors selection
new c76a7a1 CLN: Fix typo
new 92c187a Merge pull request #3225 from bwignall/quickfix-typo
new bb0689f ENH: make trees work with very small max_features.
new fed4692 TST skip flaky label propagation test
new 34fc4d4 CLN: Capitalize "Gaussian" in example docstrings
new a611867 Merge pull request #3176 from agramfort/omp_default
new 45e2a44 Merge pull request #3230 from bwignall/quickfix-gaussian
new 9bee5b4 CLN: Capitalize "Dirichlet" and "Mexican" in example docstrings
new 083b5f5 Merge pull request #3231 from bwignall/quickfix-cap
new dab017d MAINT: run tests on files with the exec bit
new 2729a74 Merge pull request #3234 from ogrisel/nosetests-exe
new 04b73a4 Included sprse testing functions test_sparse_classification() and test_sparse_regression() in test_weighted_boosting.py, based on the corresponding testing functions found in test_bagging.py
new bcdc26d Removed densification calls on X '.asarry()' from all predict methods, removed 'dense' parameter from check arrays call, removed contiguous cast of the input array X, detected X as list or array to find the number of examples accordinly using len() or shape[0]
new ea8f194 In functions def test_sparse_classification() and test_sparse_regression() added tests for coo, lil, and dok sparse matricies. Removed parameter set feautre since there are not parameters that alter sparse/dense data usage. Revised data set to use dataset.make_{regression/classification} for improved test time.
new 63934fb Revised recuring import statement to respect conventions
new bffadaa Updated documention to reflect sparse support on input data
new 9e7351d Removed prints statements used for debugging
new fef730a Revied test_sparse_{regression,classification} to use make_multilabel_classification, revised import statements to adhere to one name per import conventions
new fd1e316 Enforced dtype for X, and clarified documentation by indcating the sparse formats supported and how they are treated
new 372c0ed Re inserted the check for X.ndim == 2 in initialization, updated a doc detail for X: coo is converted to csr only in the initialization not in the predict functions
new d55959a Inserted base classifier check for BaseDesicionTree and and BaseForest before enforcing DTYPE in wieghted boosting fit
new df31dbe Resolved python3 forest import error in weighted_boosting.py
new 7d664ca Updated documenation for weighted_boosting fit() to indicate behavior of forced dtype
new ecba04f Included testing of the all of the predict/score functions of AdaBoost
new e7eb17c Assert sample weight negative sum value error, add authors entry
new 483796c Fix score function parameter mistake in test_weighted_boosting
new bb752bd Remove exectuable permision bit
new 0234a57 Fixed typo toCSR -> tocsr
new 1ddc225 Trivial doc alteration, travis timeout
new 0a61119 DOC: kmeans runs inits in parallel, not distance computations
new e74c5ae MAINT: bump up to scipy 0.14.0 in travis CI config
new 795f377 Merge pull request #3237 from ogrisel/travis-scipy-0.14.0
new 32f0069 Fixed paramaters to make_multilabel_classification and make_regression to keep tests under 1 second, reformated some blank lines
new 96436df Merge pull request #3161 from hamsal/ada-sparse
new fe6b9ea fix defaultdict call
new c3ed6c2 Update what's new with adaboost sparse input support by @hamsal
new c18c2c1 DOC we work with Python, not against it :)
new 0a4ba72 Merge pull request #2822 from AlexanderFabisch/tsne
new e47c68f MAINT: joblib 0.8.1
new d298a37 Merge pull request #3242 from ogrisel/joblib-0.8.1
new 18c399e MAINT deprecate sequences of sequences support
new 742505d FIX remove duplicates in MultiLabelBinarizer
new 37730f4 COSMIT use MultiLabelBinarizer in LabelBinarizer during deprecation
new bbc3e7e COSMIT use mlb for MultiLabelBinarizer instances
new 8ce9077 ENH do not allocate memory for temporary array of 1s
new 255895d DOC remove mention of sequence of sequences in Parameters sections
new f18a07a FIX don't use dict comprehension for Py 2.6
new 4dfde8b FIX No set construction shorthand in Py2.6
new b2fe367 DOC comment on _transform interface
new 5b4a3c8 TST Validate input MultiLabelBinarizer.inverse_transform
new dcb2417 No set construction shorthand in Py2.6
new fc0150d DOC/FIX Address @arjoly's comments
new 9cfa1f3 TST stronger test for non-integers in MultiLabelBinarizer
new 28eb1eb Assert or ignore all sequence of sequences deprecation warnings
new efede63 TST avoid more warnings related to sequence of sequences
new 238def1 TST fix testing for sequence of sequences warning in metrics
new c013e26 ENH use the np.int dtype to encode integer classes
new 37c65e5 FIX: Use coordinate_descent_gram when precompute is True | auto
new ae7a4ad Remove unused param precompute from MultiTask models
new 7b75ebb FIX: Raise ValueError for invalid precompute
new c9048fb FIX workaround doctest failure with old numpy
new 5c46c0c Merge pull request #3248 from MechCoder/remove_precompute_multi
new e4b2d96 Merge pull request #3246 from ogrisel/rebased-pr-2657
new dcd5da3 DOC add whats new for precompute fix
new ff8b12d Merge branch 'pr/3247'
new d7c27d3 Refactoring, small improvements, and cleaning notation of IsotonicRegression
new fffdfaa Merge pull request #3240 from JelleZijlstra/fix-defaultdict
new 875138a DOC more complete coverage of API linking in examples
new aca4925 TST add test for name identification in RST generation
new 6f6a537 TST avoid nose running setup() in gen_rst.py
new b20f1db TST add sphinxext to testing
new 2728104 Changing docs from "vector" to "1d array"
new b117e97 FIX use NPY_INFINITY instead of C99 INFINITY for MSVC
new 9f468f3 Merge pull request #3251 from ogrisel/fix-msvc-INFINITY
new f425134 ENH/DOC fix poly features complexity
new de42d69 ENH interaction_only in PolynomialFeatures
new 7accbfa Merge pull request #3239 from larsmans/faster-poly-features
new 1c7e37e COSMIT remove duplicate key 'hamming' in METRIC_MAPPING
new f309126 FIX PCA error handling for invalid n_components
new 5b26438 Fix Machine Learning for NeuroImaging in Python link.
new f571834 Merge pull request #3254 from laurentluce/presentations-links-fix
new a30fafa TST remove dependencies for testing sphinxext
new b16ffbb DOC: fix 2 covariance examples rst math markup.
new bc8666f Branching 0.15.X to prepare the 0.15.0b1 release
new 15590e5 Added Windows Powershell download script
new 8683c75 Merge tag '0.15.0b1' into releases
new 7d1cc45 Merge branch 'releases' into dfsg
new 0a249be Merge branch 'dfsg' into debian
new 72b6488 changelog, refreshed patches
new ba1914c Build-depend on libatlas3-base
new 60e8aea TST test interaction features outside doctest
new 67b8601 Minor fixes in the docs
new d12d313 Fix some fun column span alignment errors.
new bd7d423 Reverting array X to vector x rename
new 6ce6d33 DOC fix deprecation in CD
new b54a9af DOC missing verb in README
new bcaee04 Merge pull request #3260 from larsmans/cd-deprecation
new 2df32d0 DOC : clarify error message in _binary_roc_auc_score
new 7656498 TST silence spectral test/test warning message
new cc2eb23 FIX wrong parameter name in deprecation warning
new 4a8a597 Docstring addition and x->X
new ad3156d TST reduce max_depth for numerical stability
new f677630 Merge pull request #3261 from larsmans/test-interaction-features
new c7db70a removed unused variables and imports, add used imports where missing.
new 55ecfa2 COSMIT TYPO
new 926e651 Stop using some deprecated interfaces.
new e2857b9 DOC typo in FastICA docs
new 5b85451 Merge branch 'pr/3263': minor fixes from the 0.15.X branch
new 42c3143 MAINT: restore -git version in the master branch after the last release merge
new ac0a6e7 Incorporating @ogrisel's comments for simplification
new 5622cfb More simplifications
new 2ae8e2a Fixing simplification for clip
new 099df41 Adding test coverage for weight deprecation in IsotonicRegression and isotonic_regression
new e586256 DOC: remove broken example link
new 3f5194e MAINT removed shadowed broken test
new dcf48a5 DOC add Data Publica testimonial
new 3636210 Improving exception and warning coverage
new 662fe00 Merge pull request #3250 from mjbommar/isotonic-refactor-2
new 20b9019 ignificant refactoring, will now automatically install Python, pip, and nose. Numpy and Scipy still require manual intervention
new 35368d4 Fixed bug with append string getting double "_py_py"
new 89296ef WIP: releasing the GIL in the inner loop of coordinate descent
new 5d68c27 Replaced numpy calls with blas in dual_gap
new 7cf73f4 Made the following fixes 1. Replaced l1_norm with dasum calls 2. Changed strides to n_tasks in ddot
new ec34342 Replaced multiprocessing with threading
new 5a839e6 ENH: Release the GIL for sparse coordinate descent
new acd5df3 COSMIT: Replaced xrange with range
new 3e60331 ENH: Release GIL in the gram variant
new d497220 Replaced C ordered contiguity and added typed memory views
new 84cac35 Added a unit test to ensure that there are no spurious repeating values in the thresholds returned by roc_curve because of machine precision, and a quick stab at a fix.
new 70d3cce Added typed memory-views for H and XtA
new d5351bb Changed to using wheel packages for scipy and numpy, currently hosted on the sklearn Rackspace account.
new e1309ab Slightly expanded the docstring for the test_roc_nonrepeating_thresholds test. Added named slice variables to same, for readability.
new 07ce972 Improved the treatment of the machine precision issue for calculating ROC thresholds. Added a comment explaining why the treatment is needed.
new 75b48cd Release GIL in the multi-task variant
new 752eec1 Additional functions, ensuring pip is correct for python 3 and passing the proper path
new c212242 Registry reloading is necessary the very first time Python is installed!
new a319840 Fixed PATH issues for initial Python install environment
new 40bcd6e hange directory to $PYTHONHOME to avoid encodings error
new 72835d2 hanging directories is *not* useful for the encoding error
new 95d1af7 Added longer delay after python silent install
new e7429be dded verbose output when setting temporarily paths
new 2c83678 ENH: Replaced double indexing as it causes python overhead
new a22225e Minor refactoring of the repeated-roc-thresholds test, for clarity.
new 6ea9fbe Added a backport of numpy.isclose from numpy v1.8.1. This function was not available until numpy v1.7
new 32e3bab Changed metrics.py to use the new backward-compatible version of np.isclose
new 58c0a75 PEP8 fix
new de824b1 FIX : allow nd X for cross_val_score (was working in 0.14)
new 67e0704 FIX: examples with more than 10 images
new 2f07590 DOC Correct definition of multiclass log loss
new 5fa2f9c DOC: copyedit log loss, hint how multiclass generalizes binary
new 31f2e07 ENH save a bit of memory in Euclidean distances
new 1081160 Merge pull request #3102 from MechCoder/gil-enet
new 9772d95 DOC remove HMM documentation
new a75f44c Merge pull request #3280 from larsmans/remove-hmm-docs
new 9d3b48d DOC fix versions of requirements in README.rst
new f8a70bc Sparse input support in BaggingClassfier and BaggingRegressor #3241
new 7a1a171 Sparse support in Bagging #3241
new 4e19ef4 Merge pull request #3286 from ilam/seconddoc
new cdd2279 ENH fix astype usage to prevent copying
new 69b50e1 DOC big fat warning about multithreaded BLAS
new 060d264 DOC correct bagging docs regarding sparse inputs
new 2931627 FIX RidgeClassifierCV didn't have scoring parameter
new f458662 DOC typo in ExtraTrees
new d580661 DOC add the Random Kitchen Sink synonym to the RBFSampler section
new 72bcd6a Merge pull request #3297 from esc/doc/random_kitchen_sink
new ce8b214 MAINT reduce amount of boiler code using standard C operations
new 0309793 DOC give example of binarizing binary targets
new 204e506 Updated to include git, and install all python versions by default
new 68b0a28 DOC Note shape of binary binarized output
new 59d6a11 bug fix and deprectation warning added to cross-validation
new 10507dc COSMIT factor out split data as struct
new aaefdbd Merge pull request #3165 from jnothman/links_in_examples
new ee6a173 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into bootstrap
new d85f5e7 Merge pull request #3295 from rphlypo/bootstrap_traintest
new 950005f Added a few new features, and an example of chocolatey-style install
new 89885a8 Missing the r in powe(r)shell
new 42e9f5d DOC fix bad formatting in decomposition.rst
new 30347e9 FIX python 3 compat for plot_bias_variance.py
new fa76ac3 FIX OvR with constant label for non-predict methods
new bd0b93e DOC safer way to run the tests under windows
new 51d4f75 FIX case where label is constantly absent
new 4098883 MAINT: symeig->eigh
new f892622 FIX Python 3 support for datasets.species_distributions
new 6544ad2 FIX ensure that matplotlib.use('Agg') is called first when building the docs
new c7bbb8f DOC formatting fixes in whats_new.rst
new fa491cf DOC one formatting fix in whats_new.rst
new 45a9056 FIX Python 3 support for examples/applications/plot_out_of_core_classification.py
new 1ccf358 Merge pull request #3309 from argriffing/remove-symeig
new e331935 FIX Python 3 support for examples/applications/plot_prediction_latency.py
new d2db017 TST use assert_warns and modernise test for constant predictor
new 82864ad FIX avoid using sequences of sequences and fix tests
new 7aee742 Merge pull request #3308 from jnothman/ovr_constant_predict_proba
new 916050a DOC hmm example has been removed
new 9789fdb FIX Anisotropic hyperparam optimization of GP bounds
new b98bb34 DOC remove reference to the bootstrap target
new dae905c DOC remove spurious plt.clf() from ROC example
new 5cab6c9 DOC add missing plt.figure() for multiplot support in ROC example
new 708d3a3 DOC Document return of fetch_olivetti_faces
new 2bfca14 ENH sparse matrix support in label binarization
new 7a70e0f FIX Forced dtype to int when densifying array in label_binarize
new 6d4fd85 DOC Improve documentation of the olivetti dataset
new 1eaf8db DOC typos in feature_extraction.text
new e6da2c1 small spelling error in doc
new c29ef67 Merge pull request #3318 from abhishekkrthakur/master
new afcb384 Merge pull request #3256 from kastnerkyle/windows_download_helper
new 8489c33 added a new section on model persistence
new df27e26 model persistence doc, added improvements from ogrisel comments
new be315ed Move model persistence doc inside model selection section
new 4c51809 Remove trailing whitespace
new 78c0f61 Simplified security and maintenance section
new 4b79f22 Metadata information for unpickling models in future versions
new 6460479 Merge pull request #3317 from pignacio/model_persistence_doc
new 877d471 Convert windows_testing_downloader.ps1 from UTF-16le to UTF-8
new 777123d Merge pull request #3268 from jblackburne/nonrepeating_roc_thresholds
new a00fffd MAINT bump joblib to 0.8.2
new e14b716 Merge pull request #3328 from ogrisel/joblib-0.8.2
new 0a3a677 DOC SVMs take string class labels as well as integers
new 68280fb MAINT remove residual sparsefuncs*.so when compiling
new b4e8b3c Release 0.15.0b2
new 7e9c093 tree: add min_weight_fraction_leaf
new 216204f forest: add min_weight_fraction_leaf
new d72f958 min_weight_fraction_leaf and min_samples_leaf: test both best-first and depth-first tree building
new 72c60eb gbrt: min_weight_fraction_leaf value test
new 72b3da8 tree: use min_weight_leaf internally while exposing min_weight_fraction_leaf
new 39f831d utils.testing: add assert_greater_equal and assert_less_equal
new 9871707 forest: test min_samples_leaf and min_weight_fraction_leaf
new 79d965a min_weight_fraction: comments and pep8
new 6f4b31a test assert_greater_equal and assert_less_equal
new f62a6d1 min_weight_fraction_leaf: narrative docs
new b9f6ac4 min_weight_fraction_leaf: narrative doc update
new 849f89f Update what's new
new ac45e5d MAINT skip tests that require large datadownload under travis
new 03a78d5 fix typo (on -> one)
new 82611e8 Merge pull request #3334 from ami-GS/external
new 9a4c9f2 MAINT add docstring to explain the motivation of the fixture
new 5be7cc2 Merge pull request #3333 from ogrisel/maint-skip-download-tests
new 3729143 Typo
new 4bd4e9a MAINT Include binary_tree.pxi in source distribution
new e7e49a6 ENH Add partial_fit to GaussianNB
new 3146a1f DOC what's new: GaussianNB.partial_fit + typo in comment
new 3b8dc3d Update Sphinx docs for GaussianNB partial_fit
new 08b2902 Merge pull request #3343 from ihaque/doc_partial_fit
new cf82012 Remove duplicate GaussianNB.fit() code
new d709833 Preserve public API
new 2d12952 docstring
new 1775095 Merge pull request #3344 from ihaque/remove_dup_fit
new c176ced DOC double backticks for fixed-width (code) font
new 5358be5 TST crank up preprocessing tests to 99% coverage
new 108e009 FIX Gaussian KDE should return array, not scalar
new e4561b2 COSMIT use explicit RandomState in KDE tests
new e633f25 ENH make_multilabel_classification for large n_features: faster and sparse output support
new 5ea6b3a COSMIT in response to @arjoly's comments
new 4ecc59f Update what's new
new ab1a784 FIX failing tests due to the change of the underlying sample generator
new 9e56b2b DOC more explicit docstring for preprocessing.normalize
new 96895eb Added utility to skip tests if running on Travis
new f2b3a09 DOC optimize some PNG images, shaves off 24kB
new cfa61ab DOC run optipng before uploading website
new 4f98ce2 Merge pull request #3355 from larsmans/optipng
new 482c1df DOC run optipng before uploading website
new 5b55f57 Fix grammar
new 3acda36 Merge pull request #3357 from houbysoft/patch-1
new f5d9b5b Fix labels of inliers vs outliers
new 76ef30b TST fix precision failure on windows
new 15aff5c TST fix precision failure on windows
new cddf9a4 MAINT skip joblib multiprocessing tests on travis
new 48e8cd6 Merge pull request #3361 from ogrisel/travis-no-multiprocessing-joblib
new f721cb8 MAINT skip joblib multiprocessing tests on travis
new 178d0b6 FIX assert_array_almost_equal for windows tests
new 046d87a FIX assert_array_almost_equal for windows tests
new bd0f2d5 Cosmetic: correct latex formula display
new 7d8eaf7 DOC: write cost function of logistic regression.
new 75a5866 Merge pull request #3365 from fabianp/master
new de69793 Link my name to my wordpress blog
new 1fe371e Merge pull request #3366 from MechCoder/link-to-blog
new ec05d98 fixed typo: diriclet -> dirichlet
new e33b3b8 Merge pull request #3368 from stevetjoa/typo-diriclet
new 948bd77 DOC updated installation documentation
new ec7cad3 Merge pull request #3369 from NelleV/install_doc
new 7022f3e DOC: typo, envelop → envelope
new b289d37 Merge branch 'pr/3358'
new c73c9a1 MAINT Re-order argument to put deprecated one at the end
new 851d914 DOC: add transpose and intercept to formula of logistic regression
new c19aa38 DOC adding return type and improving module doc
new 5972f5a DOC return types in datasets.lfw
new 6668adf DOC numpydoc convention for Bunch-returning functions
new fbfcdc5 Merge branch 'pr/3316'
new 85b9499 FIX multilabel deprecation warning in RidgeClassifierCV
new f433f66 FIX multilabel deprecation warning in RidgeClassifierCV
new e90e4c9 MAINT ignore sparsefuncs_fast in diffs
new b65e4c8 FIX MinMaxScaler behavior on 1D inputs.
new f08b8c8 MAINT explicit float64 in sparsefuncs_fast
new f453b49 MAINT mailmap update
new 514f073 FIX #3372: unstable input check test for RANSACRegressor
new e3c622e FIX #3372: unstable input check test for RANSACRegressor
new 1f32603 Added FIXME annotation to skipped test
new d8a8a8d Merge pull request #3353 from kastnerkyle/skip_ompcv_travis
new 9e54c8b Corrected two typos in docstring.
new f01ae49 #3356 - Added an exception raising when np.nan is passed into a HashingVectorizer.
new 5242c21 #3356 - Added an exception raising when np.nan is passed into a HashingVectorizer.
new cdf3b7b Merge pull request #3375 from ldirer/hashing_fix3356
new 6e2af35 Added a test on hashing vectorizer behavior with np.nan input.
new d1fe163 PEP8 line length fix.
new d1a9af8 Changed solver from 'dense_cholesky' to 'cholesky' to eliminate deprecation warning.
new 2eb1e98 MAINT ensure that examples figures are displayed in the correct order
new cfcb53d MAINT: more explicit glob pattern in doc generation
new 6d528d7 DOC: typo, envelop → envelope
new 51dc919 DOC updated installation documentation
new b6b86b8 Corrected two typos in docstring.
new 494b4a0 #3356 - Added an exception raising when np.nan is passed into a HashingVectorizer.
new 700259a MAINT ensure that examples figures are displayed in the correct order
new 409ba88 MAINT: more explicit glob pattern in doc generation
new fb62b9f Replaced assert_raises with assert_raise_message as the point is to make sure the exception message is clear.
new dfeabda Merge pull request #3378 from kastnerkyle/dense_cholesky_warnings
new e701377 Added utility to skip tests if running on Travis
new 720d450 Changed solver from 'dense_cholesky' to 'cholesky' to eliminate deprecation warning.
new 25e1181 Additional skipping for omp_cv
new 2d7e32b Put check_travis in the correct place so that other tests are not skipped, and changed the CCA check to be more explicit.
new 1e777cb Lift division out of loop in _isotonic_regression.
new cf25b08 DOC: more readable whats_new
new 5b5dba1 DOC: fix classes not referenced in docs
new 0295fda FIX: check with tolerance on lars_path
new cc36ba1 Cosmetic np.abs -> abs
new ca7ea92 DOC Refreshed the documentation to install scikit-learn
new ffaea27 TEST: metrics sample_weight test: almost_equal
new 6a99871 Merge commit '0.15.0b2-14-g720d450' into releases
new 9b47a2d Merge branch 'releases' into dfsg
new 3e4fc83 Merge commit '0.15.0b2-332-g9b47a2d' (dfsg) into debian
new 279fd37 updated changelog entry
new 3b0aec7 Added additional skip checking for train and pickle tests
new 59b0f61 MAINT: skip some unstable transformers test under Win 32
new 3829f71 MAINT configure Windows CI with appveyor.com
new 052475c DOC various typos and fixes for the installation doc
new b3384b7 DOC phrasing
new 14d03f6 Merge pull request #3381 from kastnerkyle/skip_omp_cv_regressors
new 5174565 TST add test for minibatch k-means reassigns.
new d7a557a FIX bug where random state was reset in each call to partial_fit, such that reassignment either occured never or always.
new 3f3d8ad FIX bug where distances were of illegal shape
new 5141b9e FIX crash when to_reassign.sum() > X.shape[0]
new f130079 TST split test for partial_fit and fit
new b8ca2ac TST add additional test for batch_size > n_samples in fit.
new f7d14b3 MISC rename random.pyx to _random.pyx
new 1ea8fca ENH backport np.random.choice.
new 4c97c6a FIX broken tests for minibatch k-means
new b008e5d FIX use choice in minibatch_kmeans
new b654f04 FIX another (two?) bugs: the default code path didn't ever compute distances.
new 7a04b8d skip doctests
new c2d59d2 simplify tests
new 72d9e25 remove redundant code
new 730683e FIX up the rest of the stuff. Introduce .5 as a magic number. Hurray for magic numbers?
new 7f5a784 DOC more / better documentation
new 894c530 FIX reset counts of reassigned clusters.
new a39049b ENH never reassign everything, more meaningful tests.
new 05e65a6 TEST: fix test failing due to numeric instability
new e191366 COSMIT: address misc comments
new c8397ec Minibach k-means: change reassignment to uniform
new 0861f89 MISC: avoid deprecation warning
new 40f8b49 MISC: minor changes in MBKmeans
new 4ccfe06 DOC: spelling and phrasing
new 45aa833 MISC: better formulation
new a9ad5a2 Merge pull request #3363 from ogrisel/appveyor-ci
new 1724fc0 MAINT: skip some unstable transformers test under Win 32
new 1d288ba MAINT configure Windows CI with appveyor.com
new 0597dc1 Merge pull request #3376 from GaelVaroquaux/fix_mb_kmeans
new e8cb36f MAINT master to 0.16-git
new 48b8afc MAINT manual backport of whats_new.rst reorg
new b621bbb DOC whats_new.rst format fix
new 4316947 DOC whats_new.rst format fix
new 7605da7 Merge pull request #3382 from ogrisel/install-doc-update
new e599b96 TST add test for minibatch k-means reassigns.
new b6368bb FIX bug where random state was reset in each call to partial_fit, such that reassignment either occured never or always.
new 2a1dd50 FIX bug where distances were of illegal shape
new e22a051 FIX crash when to_reassign.sum() > X.shape[0]
new 6f698e9 TST split test for partial_fit and fit
new 5002838 TST add additional test for batch_size > n_samples in fit.
new dc3add6 MISC rename random.pyx to _random.pyx
new 9e9a273 ENH backport np.random.choice.
new bedb68e FIX broken tests for minibatch k-means
new a4db49e FIX use choice in minibatch_kmeans
new 18cd2a8 FIX another (two?) bugs: the default code path didn't ever compute distances.
new c7f5646 skip doctests
new 725937f simplify tests
new 610d91a remove redundant code
new 7f1e256 FIX up the rest of the stuff. Introduce .5 as a magic number. Hurray for magic numbers?
new 68d9d4f DOC more / better documentation
new 1499bdf FIX reset counts of reassigned clusters.
new 15cbb1b ENH never reassign everything, more meaningful tests.
new 280a94a TEST: fix test failing due to numeric instability
new b005f00 COSMIT: address misc comments
new af4b7ef Minibach k-means: change reassignment to uniform
new 953615b MISC: avoid deprecation warning
new c1d9c30 MISC: minor changes in MBKmeans
new 6bea881 DOC: spelling and phrasing
new 748465f MISC: better formulation
new c9ac31d DOC Refreshed the documentation to install scikit-learn
new 0c7ca94 DOC various typos and fixes for the installation doc
new 150b0d2 DOC phrasing
new f208316 Added a comment to explain the use of a test.
new 1a720f1 MAINT .mailmap update
new bd41939 MAINT whats_new: contributors for 0.15
new 03f9e8b MAINT whats_new: contributors for 0.15
new 7d564b3 FIX expit bug with out != None
new e4e4f85 MAIN fix version in doc
new ccba9a0 DOC Copy and paste error, thanks @larsmans.
new 379d730 DOC Copy and paste error, thanks @larsmans.
new 15582e7 DOC update news on the homepage
new d6cccaf DOC update news on the homepage
new 9d1c723 BUG: fix windows pointer size problem
new 3e98d04 Added additional skip checking for train and pickle tests
new d3b40d8 DOC broken formating for the People list of 0.15
new fd4ee4b DOC broken formating for the People list of 0.15
new be643c9 FIX: try to get windows working
new 05d8a6e MAINT preparing the 0.15.0 release
new ebdeddb Merge pull request #3385 from GaelVaroquaux/fix_intp
new ca7b6df MAINT update doc version navigation
new ddf39dc MAINT update doc version navigation
new 0994ffa BUG: fix windows pointer size problem
new a899155 FIX: try to get windows working
new c7b3951 Additional skipping for omp_cv
new e976967 FIX: check with tolerance on lars_path
new 5180029 Cosmetic np.abs -> abs
new e86ca90 Merge pull request #3377 from ldirer/hashing_fix3356
new 4315e91 DOC: expand documentation for logistic regression
new 5df6f21 MAINT: minor mailmap update
new 801c55b MAINT update doc version links in support.rst
new 4be0d06 MAINT update doc version links in support.rst
new 0fe0e22 MAINT point to the configuration of the docbuilder server
new 9c1217c TYPO remove mutli (did you mean Muttley?)
new d7f4142 ENH: Return attribute n_iter_ for linear models dependent on the enet solver
new 947da72 TST: Added test to check that warm model converges faster than a cold one
new 059c834 TST: Better to test that warm_start runs only once after the prev model has converged
new e65150a TST: Added test to check that higher alpha converges faster
new 272e9ce Added return_n_iter parameter for enet (and lasso) path
new e072fbc Turn useless line of code into descriptive comment
new f7e9527 FIX potential overflow in _tree.safe_realloc
new ca8ee09 Merge tag '0.15.0' into releases
new a9e747d Merge branch 'releases' into debian
new fe97948 updated changelog
new 715bdb5 Merge branch 'releases' into dfsg
new 4b7488a Merge branch 'dfsg' into debian
new 85d39c3 Quick fix on grid_scores, updating final value with len(cv) self.grid_scores_ = scores / len(cv)
new 9248948 test case on rtfe grid_scores fix
new 5727099 MISC: avoid overridding figure in benchs
new 94d3bd4 MISC: <= rather than < in tol check (KMeans)
new 7e40d0e MAINT temporary fix to handle cython renaming in 0.15
new 279d8ce MAINT 32 bit unstable tests are unstable on all OSs
new 4e438a9 [DOC] minor fixes
new 228bc99 MAINT typo in Makefile
new 3c7818e ENH allow y to be a list in GridSearchCV, cross_val_score and train_test_split.
new 5fe7c2c add test for safe_indexing, add another test for cross_val_score
new c4525dc MAINT typo in Makefile
new 251077d MISC: <= rather than < in tol check (KMeans)
new c3eb6a9 MAINT 32 bit unstable tests are unstable on all OSs
new d8ecd15 FIX: Fit the data in tests
new a130b8a Merge pull request #3349 from MechCoder/return_niter
new 52dcf26 scorer: add sample_weight support
new be5826d BUG: Support array interface
new 8c8da21 BUG: Support array interface
new d146d23 Catch ConvergenceWarning in RandomizedL1
new 3209281 ENH improve forest testing + avoid *args
new ea66557 ENH improve rand_int and rand_uniform
new e242ebc ENH rename parameters in MockListClassifiers.
new 4bf824c TST non-regression test for CV on text pipelines
new 60bd856 Merge pull request #3400 from arjoly/forest-test-oob
new f33e9ac Merge pull request #3396 from amueller/less_loud_randomized_lasso
new 9c8f656 Merge pull request #3397 from arjoly/tree-factor-rand
new 802c0a6 Remove deprecated 'mode' parameter from sklearn.manifold.spectral_embedding
new 2e7ef3c Merge pull request #2694 from amueller/allow_y_lists
new b0b996c ENH allow y to be a list in GridSearchCV, cross_val_score and train_test_split.
new 26d15aa add test for safe_indexing, add another test for cross_val_score
new ba88173 ENH rename parameters in MockListClassifiers.
new 4970f75 TST non-regression test for CV on text pipelines
new e107e1f Remove deprecated 'class_weight' parameter from RidgeClassifierCV.fit
new c870547 use more interesting range for C in logistic l1 l2 example.
new 90839da COSMIT pep8 fixes
new ea6df6f TST ignore sequence of sequences DeprecationWarnings
new 52d815a Merge pull request #3406 from jnothman/minor
new 5b247f9 move around examples for better structure.
new 7b69ace Remove deprecated 'precompute_gram' parameter
new 0a953a1 Remove deprecated 'copy_Gram', 'copy_Xy' and 'copy_X' parameters
new 97c3c89 ENH add label ranking average precision
new 35c9018 DOC write narrative doc for label ranking average precision
new 9d8d774 DOC FIX error + wording
new 1c24e73 TST invariance testing + handle degenerate case
new 4fefe23 flake8
new 6f00678 FIX use np.bincount
new c3542ba DOC friendlier narrative documentation
new f4ac2b6 ENH simplify label ranking average precision (thanks @jnothman)
new a80c58b ENH be backward compatible for old version of scipy
new 32c2692 Typo
new b3aaf1e pep8
new 7d905b8 Remove deprecated 'Gram' and 'Xy' parameters from OrthogonalMatchingPursuit.fit
new bb93ede DOC remove confusing mention to mean average precision
new bbf7ae7 BUG: Support array interface
new 7768a30 ENH: enable y to only implement the array interface
new 81b86f1 COSMIT: fix indentation
new d104a34 BUG: fix validation bug
new c325423 ENH: support non-ndarray subclasses in supervised estimator
new e42ecd1 ENH: transformers work on non ndarray subclasses
new 6e3472b DOC: more comments
new bfd546a COSMIT:
new 814a3ea FIX broken test
new ffea8d9 Add related project to website.
new 85ae41c FIX DBSCAN input validation
new ce29c70 Removed 'Gram' and 'Xy' parameters were still in test_omp.py
new 8935df6 Merge branch 'master' into theilsen
new b12d1ac Remove deprecated 'score_func' and 'loss_func' parameters from sklearn.metrics.scorer.check_scoring. Amend the code in all the other places they were used.
new c7e6456 BUG: Support array interface
new 2599365 Remove 'copy_X', 'copy_Gram' and 'copy_Xy' documentation since these parameters have been removed
new 689058a Merge pull request #3412 from brentp/logistic_l1_l2_ex
new 8de00d8 Merge pull request #3411 from lesteve/scheduled-removal-from-0.15
new 46c1c0a MAINT faster test_weight_boosting
new 55271f3 TST speedup test_spectral_biclustering
new e7d096c TST faster check_transformer_pickle by fixing n_iter
new 3318c9c TST speedup test_permutation_score
new 98f212d TST remove joblib tests from sklearn
new c191771 DOC improve documentatino thanks to @vene and remove mention of relevant labels
new 7236ade Tidy up by removing unnecessary local variables
new 85356dd Merge pull request #3414 from lesteve/scheduled-removal-from-0.15
new 3f5e691 Merge pull request #3403 from ogrisel/speedup-tests
new 4b6768f Merge branch 'master' into theilsen
new f9773ba ENH add sample_weight support to dummy classifier
new b080d93 ENH don't convert dataframes in grid search and cross-validation
new ae2c059 Merge pull request #3418 from arjoly/dummy-weight
new e6d8aa3 DOC update what's new
new 9a898da DOC sample_weight attribute
new e4503b1 Fix for old Numpy 1.6.3
new 1119e3b Added to comments to better explain last commit
new 94bda65 FIX: Remove raw_coef_ attribute that eats up memory
new 9f45e37 Modified sparse OvR to handle sparse target data
new caff874 DOC fix docstrings; add @hamsal to authors
new b6ed218 Use string argument for legend's loc parameter
new 718f6ad split test_common.py into checks and test file. move dataset generation into estimator_checks
new fa50e62 Remove 'DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future' warnings
new eb2098f Closes #2360. Fix tiebreaking.
new 24a0cdc DOC more intuition about corner case
new 56bba96 DOC add documentation to backported function
new 2a187cd Closes #2360. Fix tiebreaking.
new 71d4a21 some cleanups in common_test, speedup.
new e6e9fb6 Make fit_transform and fit().transform() equivalent in nmf
new f6e3189 slight speedup some cleanup
new dc482a2 ENH less nested code
new 0239310 Remove a couple more 'using a non-integer number instead of an integer DeprecationWarning'
new 2564f24 Make everything accept lists as input.
new 104d866 Merge pull request #3430 from amueller/test_list_input
new 3e6892e Merge pull request #3433 from lesteve/remove-non-integer-deprecation-warnings
new 5189cfb ENH: add a median absolute deviation metric
new 434c20d DOC: add an example of robust fitting
new 4113dfe Added a parameter check on n_estimators in BaseEnsemble to raise error if it is not strictly positive.
new 8ffdf66 ENH better default for test for SelectKBest and random projection
new f7b94f6 MAINT tree compute feature_importance by default
new e23d9c9 ENH Make all decision functions have the same shape. Fixes SVC and GradientBoosting. Closes #1490.
new 7f49bc1 pep8
new 46613e2 Merge pull request #3439 from arjoly/test-commons
new b0995f9 FIX encoding issue
new bd1686b Merge pull request #2804 from arjoly/lrap
new ce0484f DOC update what's new
new e7fa78d TST: fix doctest
new 0807e19 MAINT deprecate fit_ovr, fit_ovo, fit_ecoc, predict_ovr, predict_ovo, predict_ecoc and predict_proba_ovr
new 110d3f2 DOC: better documentation for robust models
new d3cddfe API: naming: CamelCase class -> camel_case function
new 6d881d3 MAINT split sklearn/metrics/metrics.py
new 16870ff ENH + DOC set a default scorer in the multiclass module
new aa54ee7 MAINT flatten metrics module and avoid nested bicluster module
new c03b987 DOC typo + not forgetting single output case
new 4ec8630 Merge pull request #3444 from arjoly/explain-default-score
new 14837ec ENH in sklearn.metrics set bicluster as a submodule of cluster
new 58feda0 FIX import
new 00d7349 DOC improve documentation and distinguish each module
new 1e42a68 DOC link example gallery scripts rather than inline
new e0d8c11 COSMIT
new 937f36c DOC show referring examples on API reference pages
new 927de5e DOC ensure longer underline
new 969a060 COSMIT Use explicit if/else in scorer
new 6598ae8 TST default scorers with sample_weight
new 6a4aa1d DOC Update What's New
new 70f4d47 Merge pull request #3401 from vene/scorer_weights
new c91a4af ENH add a friendly warnings before deleting the file
new fa26f64 Merge pull request #3442 from arjoly/split-metrics-module
new 8f68e54 Merge pull request #3445 from arjoly/flatten-metrics
new c03d4bd Merge remote-tracking branch 'gvaroquaux/pr_2949' into theilsen
new 41d02e0 TST: fix tests on numpy 1.9.b2
new f7549fd Refactor input validation.
new 8dab222 Merge pull request #3443 from amueller/input_validation_refactoring
new 6e2a83b remove check_arrays stuff and old input validation
new 2fcba22 Merge remote-tracking branch 'upstream/master' into theilsen
new c235c3b ENH add allowed_sparse named argument for @ogrisel
new 5517bad Merge pull request #3447 from amueller/input_validation_b
new 77c6c60 FIX classes name in OvR
new 96b6642 DOC mention doc-building dependency on Pillow
new 0d57c23 Merge pull request #3327 from jnothman/examples_in_apiref
new 98f2275 DOC make neural networks example appear
new be08122 DOC Fix example path
new fb87430 DOC fix 'Return' -> 'Returns'
new e79d2bb FIX Py3k support for out-of-core example
new 06b57ae DOC add links to github sourcecode in API reference
new ff82157 Merge pull request #3460 from jnothman/fix_nn_example_doc
new 7a7fca8 Merge pull request #2777 from jnothman/doc_linkcode
new 0b8e63c Update outlier_detection.rst
new 7a9ad10 DOC fix opaque background glitch when hovering example icons
new 0ea65bb FIX better RandomizedPCA sparse deprecation
new b1521e8 Merge pull request #3470 from ogrisel/fix-sparse-randomized-pca-deprecation
new 8567deb FIX better RandomizedPCA sparse deprecation
new c2b2ce4 DOC: Fix class link
new 85c9c84 MAINT move log_loss and hinge_loss to the classification metrics
new 24bd8f9 Merge pull request #3472 from arjoly/fix-metrics-division
new bbb140a ENH: Added n_iter_ parameters across all iterative solvers
new c838c38 FIX: Preserve public API by introducing return_n_iter param
new 06f0973 TST: Test that after fitting n_iter is greater than 1
new d72ca59 Added n_iter attribute to OMP (and CV)
new c508965 MAINT: Fixed a few docstrings and cosmits
new 88b05ff MAINT remove deprecated PCA code
new 2fca6ce MAINT remove deprecated code from trees and forests
new 259b487 MAINT remove deprecated sklearn.pls module
new c484a4a MAINT remove deprecated code from preprocessing
new be93a75 MAINT remove sklearn.test
new c9789c7 COSMIT clean up tests with pyflakes
new 6e4f02c Implementation of logistic_regression_path.
new bb74497 Take into account @agramfort's comments.
new 91ed4bb Some fixes for LogisticCV object
new 4d2e962 Docstring of LogisticRegressionCV
new 9139307 Docstring
new 4cb2d93 Refactor and some bug fixing
new 582d782 Docstring
new 8cdbc6f FIX missing import
new 0171d80 FIX: bug in LogisticRegressionCV
new 668e0d1 Make tests deterministic
new af6c7ed FIX: coef.shape
new 9fc0618 Just to be sure
new 48a8628 Add test
new 8cfa8ad BUG when fit_intercept=False
new 1443465 Fallback for failing line search
new 228f5b0 Remove warning (not needed any more)
new 174205e Compatibility for old scipy
new 02c4a28 iterate some more on line search
new 999c232 cosmetic
new 12adea8 COSMIT
new 53e2593 Replaced Label Encoder with Label Binarizer
new b088c2a Replaced helper function _phi by special.expit
new 137d40b Do away with intercept helper functions
new 4fe04e2 Refactor fit_intercept case
new 2e3b92f FIX: Fixed hessian value for intercept
new 200b925 DOC: Add docs for helper functions
new ddb3395 ENH: LogisticRegressionCV can now handle sparse matrices
new b8c6b4c TST: Add tests to explicitly check hessian, loss and gradient for fit_intercept
new a4d9f77 More docs and tests for LogisticRegressionCV
new 7c935a3 FIX: Doctests
new 51a1831 TST: Improved tests
new f9871cd ENH: Added one-vs-all fit in case of multi-class data
new d4b544e ENH: Added refit parameter
new 191119b TST: Tests to verify OvA behavior
new 60f454f FIX: PEP8 and other cosmits
new 7b3bfef Made the following changes 1. Fixed random state 2. Object dtype support 3. Remove outdated "don't test multiclass" tests
new 10a411f ENH: Logistic Regression now supports newton-cg and lbfgs
new e411129 ENH: Weighted logistic regression for lbfgs and newton-cg
new 5859f8b Changed copy default from True to False, updated docstring for sample_weights
new 4d516e8 DOC: Minor changes
new 86dab1e ENH: Added warnings for convergence, added support for l1 penalty if solver is liblinear
new 21a14fd FIX: Changed tolerance of newton-cg to be compliant with that of lbfgs
new 8eb3d30 COSMIT: Utils imports are together
new 0634ddf FIX: Class weights are computed for each OvA
new f7db8cd FIX: Liblinear solver for LogisticRegressionCV now works for class_weight==auto
new c8540df FIX: Add DataConversionWarning
new a52174b FIX: Changes due to recent refactoring of the check functions
new 67585f6 MAINT: Improve documentation and coverage
new 2ea804e Update whats new!
new 4de4849 FIX: Fixes for the cross_validation failure
new e9bb143 MAINT disable verbose tests on travis
new 9dd5348 MAINT Move the build_ext --inplace call to install.sh
new 1053950 Merge pull request #3441 from ogrisel/travis-no-verbose-tests
new 2374a09 FIX: Increase testing accuracy
new 56057c9 MAINT remove deprecated code
new ebc3f0d DOC typo in warning
new 384ff19 Merge pull request #2862 from MechCoder/LogCV
new 62f1f57 Added directory checking for documentation builds, and corrected for Windows pathing
new 8cd5d85 Merge pull request #3477 from kastnerkyle/docbuild_fix
new 5e028a9 Improve docstring of the LogRegCV model
new 965b109 Merge pull request #3479 from MechCoder/improve_logcv_docs
new d814353 MAINT More robust windows installation script
new 0af2d8f MAINT move skip for unstable 32bit to _check_transformer
new f3afd4e FIX unstable test on 32 bit windows
new e93ad9a MAINT More robust windows installation script
new 8552c48 FIX unstable test on 32 bit windows
new 376ac51 Merge pull request #3465 from pvnguyen/patch-1
new 9e875bf adding avg weights and flag to plain_sgd method
new 2f4ea66 asgd is added
new 67622b4 adding test that computes the average sgd
new d085d88 checkpoint for classifier
new a7a696e fixing tests
new 5ae2d7a adding documentation fixes and changing avg to average
new 4b6a5d2 fixing documentation
new e6d9bd7 adding comments to linear algebra operations
new 6958f22 updating doc
new e0d92a4 more documentation changes
new 11d3965 FIX numerically unstable test_logistic.py
new 5cd2da2 DOC fix references to moved examples
new 4aac610 TST: Fix warnings in np 1.9
new ccf661b TST: Fix warnings in np 1.9
new db5be98 Changed _partition_estimators signature to make it compatible with warm start.
new 9131413 Added warm start to random forests.
new 1f6d602 DOC whats_new.rst entry for warm_start forests
new 2438bb8 MAINT skip tests that require large datadownload under travis
new b446291 MAINT add docstring to explain the motivation of the fixture
new 82b3de7 adding test that contains a simple asgd implementation and compares it with the output of sgd_fast
new 66ce06d adding more precision to almost equal
new 22604d0 ENH: enable y to only implement the array interface
new 9e873b9 FIX 0.15.X-style fix to make the NotAnArray test pass
new c0afd46 DOC mistake in comment
new f505221 Modified the confusion matrix example: included a normalized matrix, changed the colors and added class labels.
new e181932 Merge pull request #3454 from ldirer/confusion_matrix_example
new d5430e3 DOC fix doc errors in utils.testing
new 5f32d8d TST stabilize check_transformer_n_iter
new b3bdb08 DOC fix formatting of attributes etc. in docstrings
new fcec373 converting to setting coef after the fit has been made
new 09596ca Typo
new 0c5a777 putting const on pointer arguments
new 1f040b4 FIX revert changes introduced by mistake in previous commit
new 55be9f0 Merge pull request #3492 from furukama/patch-2
new 16adbd5 MAINT: Effectively remove deprecated parameters
new 1a2dcf3 DOC fix styling of See Also sections
new 70f520c DOC fix styling of method signatures
new 5301e28 DOC: added Machinalis testimonial
new 99c2502 COSMIT smipler & more robust check in test_kfold_valueerrors
new fe5423f DOC fix see also references
new 3893cc3 DOC move Attributes section to after Parameters and style likewise
new b61ab4e Merge pull request #3491 from ogrisel/fix-warning-test-cross-val
new c002c5f DOC fix see also reference
new 1a985fc DOC fix markup error
new e017490 MAINT fix prng in test_f_oneway_ints
new 10c7527 MAINT fix prng in test_f_oneway_ints
new cf4cf60 ENH Stochastic Coordinate Descent for ElasticNet & Lasso
new 63fc314 adding test for binary classifier
new a38577c adding support for partial fit and adding test for partial fit
new e894205 FIX Implemented correct handling of multilabel y in cross_val_score
new dbfc8c6 FIX Implemented correct handling of multilabel y in cross_val_score
new adcc42c FIX left over conflict marker from previous backport
new cbcae04 FIX Support unseen labels LabelBinarizer and test
new 056d5fb FIX Support unseen labels LabelBinarizer and test
new 3fad0a2 adding support for averaged intercept
new 1b2833a Add sample_weight parameter to metrics.jaccard_similarity_score
new e147df5 adding test for intercept part of asgd
new 0e31553 ENH Sparse multilabel target support
new a15434c DOC label indicators are clearer as ints than floats
new 15be75e DOC more precise input type for multilabel metrics
new 6a0e7f7 adding support for multiclass with a test included
new 69961c0 changing float to double
new 9fb2dfb MAINT use assert_warns
new 9a6287b MAINT Fix regression random projections work sparse matrices
new 195dd26 DOC whats_new.rst: missing backported fixes for 0.15.1
new f887cce DOC whats_new.rst: missing backported fixes for 0.15.1
new 7c2f2ac adding comments to xnnz implementation
new bdd5cb1 Test sparse target data with dummy classifier
new c04ba19 Fit dummy classifier with sparse target data
new f7efdc9 Op directly on y.data in fit, xrange -> range, y.tocsc
new 73f2f0c Share array intialization sparse and dense fit
new c0981d2 Reorder fit and share denes sprs, Scafold sprs pred
new 4052878 Remove temporary code from test_sparse_target_data
new 388ac61 remove zero from random uniform return data
new a120827 Emulate sample weight support from dense (Rebase)
new 0a381ed Add four tests for sparse target dummy, one for each strategy
new 7d9114c Correct the class priors computation in the sparse target case
new 8c3a986 Remove redundant indices, data, indptr appends in predict
new ff12d77 Test sparse stratifed corner case with 0s
new 69adaa4 Combine dense column check in fit
new 5c5ef1a Update y with y.tocsc (Not an inplace op)
new 05a8dd7 Select nonzero elements in predict stratified case
new 3d692a9 Implement uniform and stratified w/ sparse random choices, optimize concats
new fd58c28 np.random.choice -> choice (from utils/random)
new 72885ef Use array for sparse matrix construction, fix constant check
new f96a6aa Replace np.random.choice with utils.random.sample_without_replacement
new d0f52b6 Raise warning unifrom fit sparse target, Raise error uniform precit sparse target
new 91a5b92 Support matrix output random_choice_csc, Update usage in dummy predict
new 6e9d166 Validate lengths equal each element of classes and class_probabilities
new 319d96e Test random_choice_csc
new 292590c Test ValueError for length mismatch between array in classes, and probs
new ffd13c3 fix: i might be undefined
new 65f4f95 Absract class prior construction to function sparse_class_distribution
new 25f72c4 FIX six issue with module imports
new 3edfa3c Max iter param in Liblinear is now softcoded
new c8c72fd ENH: Return n_iter_ from liblinear and print convergence warnings
new ad5773c TST: Added test to check ConvergenceWarning
new e6b1863 Update plot_tree_regression.py
new 6c7f029 Merge pull request #3522 from ugurthemaster/patch-1
new 07560e4 FIX #3485: class_weight='auto' on SGDClassifier
new a2eb0d7 MAINT skip 32bit-unstable test in the 0.15.X branch
new de9de2d FIX #3485: class_weight='auto' on SGDClassifier
new d490693 MAINT preparing the 0.15.1 release
new e1bbd9a Test sparse_class_distribution, Correct data indexing
new bf43d5b FIX wording in whats new in 0.15.1
new cb27e4c FIX wording in whats new in 0.15.1
new 44499fa Move array intiialiaztions into dense conditional, nz_indices -> col_nonzero
new 1f4ff67 Merge pull request #3509 from arjoly/fix-rp-sparse
new e1891d8 Merge pull request #3489 from jnothman/attributes-doc
new 1491c1c DOC remove backticks from around attribute name + PEP8
new e65d907 DOC A less-nested coverage of model evaluation
new 29b57e0 Fix heisenbug due to addition of max_iter param in LSVC
new 0a7bef6 Merge pull request #3528 from MechCoder/fix_heisen
new cfad359 Rever formating of warning, Reword warning for sparse uniform case
new 2ec8e97 Correct spell 'Predicting', doument (sparse_target_input_ -> sparse_output)
new 7bb1c01 Reverse conditionals in fit and predict, positive case first
new 31d9b12 Make cosmetic revisions to random_choice_csc
new acb4e1a Merge tag '0.15.1' into releases
new 5122bf9 Merge branch 'releases' into dfsg
new d75538e Merge branch 'dfsg' into debian
new 0a8726a changelog
new 11c7538 import divison from future to give real results with two ints
new aa47285 Make cosmetic changes to sparse_class_distribution
new f5622b7 Make cosmetic changes to sparse_class_distribution
new 431f291 Make naming changes in sparse_class_distribution
new 2207046 Make default parameters for test_random_choice_csc, and use almost equal
new 0ee10dc move random_choice_csc to utils/random from utils/sparsefuncs
new 81f8268 Move test_sparse_class_distribution to utils/multiclass from utils/sparsefuncs
new 7e694fa Uodate imports to correct function loactions
new 478f9ad Comment .eliminate_zeros() in sparse class distribution
new 0943c92 adding faster implementation of asgd with sparse data
new 22cafa6 Merge pull request #3527 from jnothman/unnest-model-evaluation
new 5ba7df8 Include dense case support in class_distribution, pep8 revisions
new 7912b1d Make sparse target dummy tests multioutput-multiclass
new 6c6ef87 Test class_distribution w/ multioutput-multiclass sparse and dense
new 40d8fb3 Replace numpy.random.choice with a search sorted strategy for faster runtime
new f59e4da Test random_choice_csc implicit, readability adjustments
new 0e31472 Remove transposes from testing of random_choice_csc
new 22ef22e Clarify unfiorm sparse warning message, Reword sparse_output_ doc
new 214b761 Clarify unfiorm sparse warning message, Reword sparse_output_ doc
new f69dcef Use UserWarning in place of SparseEfficiencyWarning
new 222cb87 Remove outer for loop in dense case predict
new 69af355 FIX only use testing.ignore_warnings in tests
new fe8e719 Add sample_weight parameter to metrics.log_loss
new 54774d0 DOC add link toward Jatin Shash webpage
new a7c9128 ENH removed manual code for parallel task batching forests
new aeb94c6 ENH: parallel feature importances for forests
new bedf14a FIX Exact inverse transform for whitened PCA
new dc2bc8a TST test whitened inverse
new 3f6c61f ENH components of unit length and whitening done by scaling with sqrt of explained variance
new 83223fd DOC What's new
new 7b7784e Make cosmetic changes
new 1c01da0 ENH faster safe_indexing for common case
new c66a14e Merge pull request #3539 from jnothman/fast_indexing
new 1e1bd68 COSMIT Move imports in example
new 8122420 FIX Verbose message in RFE to count from 1, not 0
new ddfb616 changing api to have average_sgd and plain_sgd
new 9acc643 seperating out the average and plain apis in stochastic_gradient.py
new 67a0a91 Merge branch 'pr/3535'
new 046f7e8 MAINT NumPy 1.10-safe version comparisons in joblib
new 94b7845 Test that class dtypes string and float fail in random_choice_csc
new 1873ef8 Test explicit sample wieghts in the sparse case of class_distribution
new a5acf9d Test insertion of 0 class in random_choice_csc
new acac25d DOC fix typo
new 553592e adding sgd_fast.c
new 7cfea35 Change dtype check conditional to look for everything other than int
new 2a3f504 Make cosmetic adjustments, Fix random.py header, use message with assert_warns
new 9783de3 Test additional corner cases with random_choice_csc, error on proabilites not summing to 1
new 2203422 Combine sparse and dense test for class_distribution
new 2198a84 Manage explicit zeros manualy in class_distribution, test with explicit zeros
new 9e4aba2 FIX Using random_state.rand rather than scipy.rand consistently in Gaussian Process
new 4698481 DOC fix typo
new aa53fdb DOC specify X shape for precomputed
new 012bc0a FIX: Incomplete download of 20newsgroup_dataset
new 517373f DOC update what's new
new 1bdd2ce TST regression test for optimum over several random-starts of GP
new c604ac3 Merge branch 'pr/3545'
new 9da134e DOC:Typo in doc
new b186348 DOC GP fixes in what's new
new f38c1ca Merge branch 'pr/3395'
new a52085f DOC correct default value
new ec4f574 fixing typos
new 143e5ff FIX set vectorizer vocabulary outside of init
new 8680a6b Deprecate vectorizer fixed_vocabulary attribute
new 9e6ce6d adding explanation of asgd to doc
new a6777cd adding if self.average logic
new bbf3426 DOC add missing details to what's new
new 5202312 MAINT simplify covertype benchmark
new 6d8ccbc DOC correct shape of Tree.value
new 9088aca COSMIT update sklearn.svm.bounds
new 39da06f Merge pull request #3438 from hamsal/sprs-out-dmy
new ebbc5b1 adding test to make sure plain sgd does not have average parameters
new c25467e MAINT Remove note that assert_warns comes with Numpy 1.7
new c149516 Update plot_kernel_approximation.py
new c7ba56e Merge pull request #3572 from AndrewWalker/patch-1
new a46130e DOC typo
new 55cb591 DOC vectorizers were referring to a private function in public docs
new 56c539e ENH more explicit error message for ill-posed problem
new ca3ad7b FIX: Memory crashes for _alpha_grid in ENetCV
new 05aa804 Merge pull request #3573 from MechCoder/high_dimensional_enetcv
new 0f89415 MAINT: add license info
new e58764f DOC more explicit parameter descriptions in make_multilabel_classification
new 82945e5 FIX PLSRegression again supports 1d target
new 10e4769 FIX out-of-core example had been broken
new c2a88c2 MAINT: update joblib to latest release 0.8.3
new f0b2bbd MAINT: better gitignore
new 341ca93 DOC avoid the plot_ prefix in example where no plot
new 763af96 DOC fix line references in tutorial
new 00c7585 FIX more intuitive behavior for *SearchCV.score
new 42fbeae changing sgd to asgd
new 13ca2b2 ENH multinomial logistic regression using L-BFGS
new d5ceb89 ENH: Add support for class weights
new 5483cb2 FIX: Change alpha to 1./c
new 4cd1777 ENH: Merge MultinomialLR into LR with multi_class='multinomial'
new e6f7ab3 ENH Added multinomial logreg to plot_classification_probability.py
new 6b5b9e3 ENH: Added multinomial option to LogisticRegressionCV
new 4e79127 COSMIT: Minor doc fixes
new b2e0e6e TST: Tests for multinomial logistic regression
new 89226b6 COSMIT: Made the following changes 1. Removed true from 'true multinomial loss' 2. Replaced OvA with OvR 3. Update whatsnew.rst
new d80ef50 DOC: Improved documentation and error messages
new 43845d7 DOC: Made the docs for LogisticRegression clearer
new a92cd80 FIX: PEP8 Errors and unused imports
new 5560236 DOC: Changed docstring style for optional arguments
new 5024503 DOC document MultiLabelBinarizer.sparse_output param
new 43c284f adding comparison for ASGD
new 5be010f DOC: Explicit instructions for Python3
new 7ceb307 Merge pull request #3586 from MechCoder/python3_installation
new ab1e724 Added test for orthogonal LDA transform.
new afb675c Fixed LDA transform.
new 798c49a Improved precision of the LDA orthogonality test.
new c0b92e5 forgot to remove an import
new 49cee4b misc
new c902399 added test for transformed scatter matrix
new 089cb07 DOC Updated what's new
new 69ff0b2 DOC fix link embedding regexp
new c259c14 DOC allow link embedding to proceed when web sites unavailable
new 787e4a0 DOC extend documentation on sample generators
new da7f009 Merge pull request #3001 from jnothman/doc_sample_gens
new 8597cc4 Update gaussian_process.py
new ad751a3 FIX bug with set_params on minkowski 'p'.
new d080429 DOC deprecation of **kwargs in neighbors per 0.18
new 4b82379 TST fix doctest for k-NN
new 796d67f Merge pull request #3588 from tejesh95/patch-1
new 959a4ac MAINT: Remove BaseLibLinear for LogisticRegression
new 9e58bcd DOC: Added np.sqrt since default is 'squared=False'
new d6bfe09 Merge pull request #3593 from MechCoder/row_norms_doc_fix
new 34a4517 ENH: Improved verbosity and denesting
new a128220 FIX six issue with module imports
new e18a524 FIX only use testing.ignore_warnings in tests
new 49a7fe1 MAINT: be robust to numpy's DeprecationWarning
new 5e98a2f FIX: Fix the imputation example
new 2626f83 Repeated word: 'the the' -> 'the'
new 7ff3a32 Merge pull request #3598 from GaelVaroquaux/np_warnings
new fc0b231 Merge pull request #3604 from rahiel/patch-1
new c1be2ee Merge pull request #3603 from MechCoder/fix_imputation_example
new dd78f10 DOC rename "imputation.py" to "missing_values.py"
new be09af1 MAINT: be robust to numpy's DeprecationWarning
new 84ac04d fix_gnb_proba
new a7ccbb8 MAINT: Made the following changes 1. Use a single loop for both ovr and multinomial conditions 2. Better warning messages for penalty and loss conditions 3. Convergence warnings print only if verbose > 0 4. Used check_X_y instead of check_X
new eeffac6 DOC dtype parameter on validation functions
new 75e11c0 Merge pull request #3591 from MechCoder/refactor_logreg
new ed0e6d7 DOC multi_output parameter on validation function
new 6c69cb7 DOC: more explicit title
new 0535fe9 BUG: n_samples instead of n_features in cd_fast
new 02c71ef BUG: n_samples instead of n_features in cd_fast
new 1db8448 ENH: minor speed-up in k-means
new f37618a ENH: Remove unused copy
new 0cc63a7 COSMIT: explicit comment
new 224910d DOC tweak BaseSearchCV.score docstring notes
new ba7e7a4 DOC a further tweak to BaseSearchCV.score docstring
new dd9e512 Changed f=open() to with open() as f to eliminate ResourceWarnings. Fixes #3410.
new 455f415 FIX #3566: redefine isfinite alias in sklearn
new 353840c Merge pull request #3608 from agramfort/fix_gnb_proba
new cf3d69b Moved code out of context block where not required for #3612
new 77ff749 Merge pull request #3612 from calvingiles/fix-resource-warnings
new 8d3f4df ENH cosmetic reorg of the confusion matrix example
new 2c5fea1 FIX: divide each row of the CM by the true support
new d4e5173 Merge pull request #3580 from jnothman/gridsearch-score
new 14eb82b removing standard_coef and standard_intercept from plain sgd
new 97355e9 Merge pull request #3611 from ogrisel/fix-isfinite-windows
new aecf2c0 FIX bump up the miniconda installation script
new 42ca0a0 Merge pull request #3619 from ogrisel/fix-miniconda
new 6641781 Adding newton-cg solver for multinomial case.
new 273fdc0 Add comments to _multinomial_loss_grad_hess function.
new 8559fbc Fixed pep8 errors. Added docstring for _multinomial_loss.
new 2c25322 Fixing docstring on _multinomial_loss.
new 9f94035 FIX #3566: redefine isfinite alias in sklearn
new 93cbcef FIX bump up the miniconda installation script
new 5c8b6c8 fix typo (on -> one)
new 9adf643 DOC double backticks for fixed-width (code) font
new 88796ef FIX Gaussian KDE should return array, not scalar
new 01b6fc0 COSMIT use explicit RandomState in KDE tests
new 3163cd8 DOC optimize some PNG images, shaves off 24kB
new b684a88 Fix grammar
new 82bd4ea DOC: write cost function of logistic regression.
new 12c298f fixed typo: diriclet -> dirichlet
new 8080548 Fix labels of inliers vs outliers
new b84e7a1 DOC adding return type and improving module doc
new de42bc5 DOC numpydoc convention for Bunch-returning functions
new 7a7a4b9 FIX MinMaxScaler behavior on 1D inputs.
new e43a244 Lift division out of loop in _isotonic_regression.
new b954c52 DOC: fix classes not referenced in docs
new 264cefd MAINT Include binary_tree.pxi in source distribution
new 80c388d TEST: metrics sample_weight test: almost_equal
new 689351e FIX bug where distances were of illegal shape
new 233ffdf FIX expit bug with out != None
new a78aafd TST hashing vectorizer behavior with np.nan input
new 9024bd4 DOC: expand documentation for logistic regression
new b0bea23 TYPO remove mutli (did you mean Muttley?)
new 1c13999 Turn useless line of code into descriptive comment
new 133aefe FIX potential overflow in _tree.safe_realloc
new c651319 FIX RFE + test
new fc7d345 MISC: avoid overridding figure in benchs
new e4f6029 [DOC] minor fixes
new 591f18b Catch ConvergenceWarning in RandomizedL1
new bef087e MAINT get rid of NumPy DeprecationWarnings
new 4c09307 Added a parameter check on n_estimators in BaseEnsemble to raise error if it is not strictly positive.
new 88c7b4a DOC mention doc-building dependency on Pillow
new e0b0ccf FIX Py3k support for out-of-core example
new 725981d DOC: Fix class link
new 647a26a Update outlier_detection.rst
new 4516af5 Typo
new 0e11161 DOC fix see also reference
new 8068f67 DOC fix markup error
new f9eb2d0 fix: i might be undefined
new 6119356 DOC move Attributes section to after Parameters and style likewise
new 39acdb4 COSMIT Move imports in example
new 7f65304 FIX Verbose message in RFE to count from 1, not 0
new 5515c79 MAINT NumPy 1.10-safe version comparisons in joblib
new 7fb2aef DOC fix typos
new 1db2fe9 DOC specify X shape for precomputed
new 5a4905c FIX: Incomplete download of 20newsgroup_dataset
new 07c1dda DOC update what's new
new 0b93c12 FIX: random_start feature in GaussianProcess
new 3d1b2ee FIX: gp_diabetes_dataset examples (theta_ attribute)
new bfa4d7c FIX Using random_state.rand rather than scipy.rand consistently in Gaussian Process
new 2e609bd TST regression test for optimum over several random-starts of GP
new 87750a1 DOC:Typo in doc
new 17d327b DOC GP fixes in what's new
new 413a21c DOC correct default value
new 2510464 FIX set vectorizer vocabulary outside of init
new f7310ea Deprecate vectorizer fixed_vocabulary attribute
new 2eae002 DOC correct shape of Tree.value
new ed38e68 DOC typo in plot_kernel_approximation.py
new ff77a64 DOC typo
new 8aa69b0 DOC vectorizers were referring to a private function in public docs
new 3645354 MAINT: add license info
new ae7e147 FIX out-of-core example had been broken
new 6a9db13 MAINT: update joblib to latest release 0.8.3
new 18055af MAINT: better gitignore
new de66f6a DOC avoid the plot_ prefix in example where no plot
new 9add691 DOC fix line references in tutorial
new cba514b DOC: Explicit instructions for Python3
new db1daf5 FIX LDA transform to project onto most dicriminative direction
new 509f249 FIX bug with set_params on minkowski 'p'.
new daf591d TST fix doctest for k-NN
new 9c71994 DOC deprecation of **kwargs in neighbors per 0.18
new 48f2984 Update gaussian_process.py
new a416c18 DOC: Added np.sqrt since default is 'squared=False'
new d3c16a6 Repeated word: 'the the' -> 'the'
new f0f9668 FIX: Fix the imputation example
new 164dc8e DOC: more explicit title
new 7c2cd61 ENH: minor speed-up in k-means
new dc5d57d ENH: Remove unused copy in k-means
new 46a1250 fix_gnb_proba
new 7658dd6 Changed f=open() to with open() as f to eliminate ResourceWarnings. Fixes #3410.
new 020e0af MAINT optimize machinalis.png, -9kB/42%
new b4e41cb FIX update sklearn.__all__ to include all end-user submodules
new 4c692e9 FIX update sklearn.__all__ to include all end-user submodules
new 7f72713 FIX define CC and CXX for travis
new c09a4ca FIX define CC and CXX for travis
new a61fb87 utils.testing: add assert_greater_equal and assert_less_equal
new 8dc8995 FIX Windows CI: use prebuilt numpy / scipy
new dfe642e FIX Windows CI: use prebuilt numpy / scipy
new e77b8ef MAINT remove harmless, but useless, double call to csr_matrix
new 79646ff MAINT use %r for better printing of regexps
new b1119bb ENH friendlier message for calling predict before fit on SVMs
new 52adb5c ENH Add 'axis' argument to sparsefuncs.mean_variance_axis
new 842d80a ENH improved CSC matrix handling in VarianceThreshold
new dbfb25e FIX heisenfailure in test_lasso_lars_path_length
new 0fcace7 Merge pull request #3629 from ogrisel/fix-unstable-lars-test
new f848a04 FIX heisenfailure on 32 bit python + speedup
new ff94896 FIX finfo.eps should be used instead of tiny for equality checks
new 37ac314 MAINT remove unused MST code
new 775f6de ENH upload Windows wheels to rackspace
new 57630c4 FIX heisenfailure in test_lasso_lars_path_length
new 9b10b3c FIX heisenfailure on 32 bit python + speedup
new 9c6f415 ENH upload Windows wheels to rackspace
new 5c5e83c DOC fixes in 0.15.2
new 2b42e95 DOC fixes in 0.15.2
new fe7ff98 Release 0.15.2
new 2068ff2 FIX appveyor.yml path
new f5300d1 ENH Speed up and simplify cartesian product
new a228e8a FIX division by zero warning in LassoLarsIC
new c453711 MAINT big refactor of sklearn.cluster.bicluster
new cb1798a FIX more tolerant early stopping for least angle
new 090b1c1 MAINT clean up flake8 complaints in k-means
new 6409357 ENH: Precompute distances only if overhead is below 100MB
new 45e82c3 Merge branch 'pr/3613'
new 3c92686 Merge pull request #3564 from jnothman/bounds
new 308c7ef FIX consensus score on non-square similarity matrices
new d9288f0 ENH micro-optimize gradient boosting
new 891839c DOC: Explain prediction when decision_function is zero
new 181c720 TST: Cleanups in test_theil_sen
new e44f9c7 COSMIT: Renamed _lse to _lstsq in theil_sen.py
new 09d44f1 ENH: Removed shared-memory parallelism in theil_sen
new 970e4c2 COSMIT: Inlined two methods in theil_sen.py
new 57f67d0 MAINT CI: reflect CLI change in wheelhouse-uploader tool
new 00071bd ENH: Use warnings instead of logging in theil_sen
new 1314697 ENH: Removed _split_indices method in TheilSen
new d105145 ENH: Rewrote TheilSen._get_n_jobs as a function
new 43b5e43 COSMIT: More explicit names for vars in theil_sen
new 8dbec4f Merge branch 'master' into theilsen
new 3e70d84 FIX: usage of check_array in theil_sen
new 030f7e1 FIX: Use check_consistent_length in theil_sen
new 9db5ba1 ENH: Refactoring in theil_sen
new b28e2b6 ENH: Removed unnecessary generator in theil_sen
new 49d3043 FIX: doctest of get_n_jobs
new f41352c Fixing more pep8 errors.
new 3e2ce55 Merge remote-tracking branch 'upstream/master' into multinomial_newtoncg
new 6c96fbe Merge tag '0.15.2' into releases
new 66172bb Merge branch 'releases' into dfsg
new e3292cf Merge branch 'dfsg' into debian
new fdafd8d changelog
new 171139f ENH add testcase for issue 2445
new 7d2179b ENH: Theil-Sen vs. RANSAC example
new 3915600 debian/rules - fixed version for comparison against sphinx. Now documentation should get built on recent releases (Closes: #760730).
new cdfa0ce Removed some unnecessary lines and reformatted for consistency in _multinomial_loss and _multinomial_loss_grad_hess.
new f69e79f added macro-average ROC to plot_roc.py
new 150b491 OPT: Prevent iterating across n_features twice
new 5fc0e8f Merge pull request #3653 from MechCoder/minor_opt
new 149d97f making optimal for asgd the constant learning rate
new 8081745 fixing merge conflicts
new 042764c added macro-average ROC to plot_roc.py
new 8cee66b rebased upstream/master with master
new 1ceb885 rephrase doc, rename unseen, fix pep8
new 1ec01ea Modified parameter description in docstring of _multinomial_loss_grad_hess.
new 9af14b3 DOC restructure data transformation user guide
new 499ed00 Merge pull request #3587 from jnothman/transforms-doc
new d9067fa FIX #3370: better lars alpha path inequality checks for 32 bit support
new 78fbd25 ENH comment on drop for good not being triggered in the tests
new a5852c6 changing averaging to use sparse trick
new 3bf6975 fixed duplicated part in plot_roc.py
new 7c29eca DOC fix broken URL
new e95a7f0 adding value error for partial fit with auto weights
new 0985ef6 adding note to whats_new.rst
new 3bd58c9 removing miss-merge and adding github
new 3b292b2 adding a more descriptive error message
new 38f5b6c adding escape characters to regex
new 9c079cf addressed jnothman's minor points.
new af4df33 Adding test cases for multinomial LogisticRegression using newton-cg solver.
new 356c24e typos: remove extra s's
new 25a327c tweak to more natural version
new 0d9f6cc Fix wrong attribute doc in BaggingRegressor.
new 12f63da Merge pull request #3667 from ajschumacher/patch-6
new 81613d2 make IsotonicRegression pickleable
new dd4143b import pickle
new 7f4c974 Sample weights for gradient boosting
new f98388e more tests
new ddc5123 add exponential loss to narrative documentation
new 2503d35 cosmit: doc raise ValueError for sample_weights and robust regression
new 7064e20 bincount supports weights
new 5832998 more elegant PriorProbabilityEstimator
new 6fe6c34 adressed Olivier's feedback
new 297b36a update tests for new exception types
new fd952cc sample weight support for robust regression via weighted percentile algo
new 93b2b7d fix: consider sample_weights in robost init estimator and negative_gradient
new d992596 fix: add **kwargs to Multinomial loss' negative_gradient
new 75f6e01 more tests for weighted percentile
new 73a8c3a cosmit
new 2d50328 add GBRT sample weights to whats new
new 50fea07 DOC document copy_X parameter from LinearRegression
new 05fbc64 fix: sample_weight is None in Huber.deviance fix: sample_weight multiplication in Huber leaf updates more tests (non-uniform weights, weight consistency and invariance to scaling, deviance consistence)
new 4966b12 cosmit arr -> array
new 7485752 FIX: Make sure LogRegCV with solver=liblinear works with sparse matrices
new a57a306 Correct documentation for TfidfVectorizer
new 04ee897 Merge pull request #3676 from danfrankj/master
new dc3b00d Removed n_jobs parameter from the fit method and added it to the constructor
new d34e928 Merge pull request #3674 from MechCoder/fix_l1_penalty
new 25c03a7 Added Deprecation warning
new 4f2ff2d Small PEP8 fix, n_jobs attribute is compatible with both fit method and the constructor
new 077a1ee Fixed a failing test in the doc
new ef7169a Added tests
new da64670 Added seperate tests
new 701a87f Refactored some logic code
new c57e6ed PEP8 fixes
new 9580431 Merge pull request #3678 from akshayah3/LinearReg
new 266fddb Wording.
new 862d821 Modified hessp function in _multinomial_loss_grad_hess to compute r_yhat in place. Simplied conditional statements that branches based on solver + multi_class input combinations. Extended tests on multinomial LogisticRegression to include newton-cg solver case. Updated doc string of LogisticRegression to include newton-cg solver in multinomial case.
new c7a002a Update whats_new.rst. Add contact information to logistic.py.
new b742d58 Modified doc/modules/linear_model.rst to incorporate the newton-cg solver option for multi_class="multinomial".
new e6fa800 non-uniform weight test case for both reg and clf and all losses
new 85b2c78 add probability output for exponential loss
new de11662 we can produce probabilistic outputs using exponential loss
new 63ec9ac Fix typo.
new 7dec87c Merge pull request #3224 from pprett/gbrt-sample-weight
new c5fdee4 MAINT add a deprecation version
new 88d473c MAINT move comment to the appropriate place
new 41b9385 FIX don't compare strings with 'is'
new 5335539 FIX propagate MemoryError from Tree._resize
new 39c8701 cleaning up commented out code and previous_coef_ parameter
new 324e3c9 ENH sort option for memory-efficient DictVectorizer
new 7354359 MAINT refactor DictVectorizer's transform+fit_transform (1)
new 8f18396 Merge branch 'pr/3683'
new cd88472 FIX error handling/memory deallocation in Liblinear wrapper
new 2181f7c TST more robust test for MemoryError from Tree._resize
new a7a0512 MAINT: handle frombuffer with empty 1st arg in utils.fixes
new 800354b DOC single-pass DictVectorizer in what's new
new 3cbbe7d ENH: Use the scipy C-based L1 distance if possible
new b2d6a30 IncrementalPCA implementation
new 2887c15 + Fix the bug of calling len when using sparse matrix for fit_params in cross_validation.py.
new f0f26bc fix factor of 2 in RBFSampler; make test more rigorous
new f1f9760 + Fix the bug of calling len when using sparse matrix for fit_params in cross_validation.py. + Add test case for the above fix.
new ad815a0 Merge branch 'fix_bug_in_cross_validation_when_using_sparse_matrix_for_fit_params' of https://github.com/queqichao/scikit-learn into fix_bug_in_cross_validation_when_using_sparse_matrix_for_fit_params
new fd4ba4d MAINT: set attributes as last action in DictVectorizer.fit
new 5f8271f Updated what's new to add IncrementalPCA
new 7426e6a Merge pull request #3285 from kastnerkyle/incremental_pca
new f7af204 clarify KernelDensity.score{,_samples} docstrings
new 5d3b42f DOC Fix n_jobs documentation
new 56ad4de5 Merge pull request #3697 from luispedro/cv_doc_fix
new b0ab714 Merge branch 'master' into theilsen
new a800040 COSMIT: Small changes regarding Theil-Sen
new 3de9f22 DOC: Better documentation for Theil-Sen
new ef17f80 ENH: Improvements in the Theil-Sen regressor
new 2a94ae2 Merge pull request #3687 from perimosocordiae/fast-l1-dist
new 766fb56 FIX allow ndim>2 in shuffle
new 2666b70 TST stronger test_shuffle_on_ndim_equals_three
new d1ae779 Merge branch 'pr/3696'
new cd3c2db Merge pull request #3695 from dougalsutherland/kde-docs
new a54590b Merge pull request #3656 from dougalsutherland/fix-rbf-samp
new 961bf67 ENH: Shortcut for 1d case in spatial median
new 374ac6d ENH: Avoid trailing \ in test_theilsen imports
new e7baa77 Minor doc and formatting changes.
new 3c5c4f5 fix the link of Out-of-core_algorithm
new 5569035 Merge pull request #3705 from floydsoft/patch-1
new 6e123c0 Fixes ovr in the binary classifier case, and adds support for lists of feature arrays in the multiclass case.
new 11d3696 Added make_fit_parameter method
new 16bc265 dded tests to test_boosting
new 4d94392 Added _check_sample_weight
new 367845c Shifted the _check_sample_weight into BaseWeightBoosting class
new 0241b65 GradientBoostingClassifier docstring incorrectly specified default for max_features as "auto" when it is None.
new 30202d4 Merge pull request #3715 from trevorstephens/correct-gbc-docstring
new 5fe405b cleaning up floating point and unneeded todos, also removing constant learning rate for asgd
new c4ba5da Merge pull request #3713 from akshayah3/Boost
new aa66dea DOC Add solido testimonial
new b584ac4 FIX ovr predict_proba in the binary case
new 6ea371a Merge branch 'pr/3710'
new 3a02da8 Raise exception for sparse inputs in the case of svd solver
new 211dfa4 Rename k to n_clusters in docs
new 7522923 Merge pull request #3724 from mlopezantequera/patch-1
new 0d6a8de removing documentation about constant learning rate for averaging
new 74b9563 MAINT use Python versions provided by AppVeyor CI
new 4e2960d FIX call srand whenever random_seed >= 0 in libsvm
new 58be184 Enable grid search with classifiers that may throw an error on individual fits.
new c1eb8f9 Fix sparse_cg solver when max_iter is specified.
new cf3b476 FIX: TheilSen -> TheilSenRegressor in docs
new 9d9bbc0 Merge pull request #3730 from ogrisel/fix-libsvm-random-seed
new d204967 MAINT missing numpy / scipy for the Python 3.3 build
new 4860126 + Fix a typo.
new 09896dc plot_adaboost_twoclass.py: minor improvements
new 972fcba Merge pull request #3731 from ndawe/master
new 8357f17 Merge pull request #3732 from queqichao/fix_typo
new 7b6cb91 adding add_average method and solving iteration bug by replacing definition of t
new 009f7de adding note for partial_fit and n_iter
new e5ae879 clean up and average can now be set to an int indicating the number of iterations before averaging
new e915fcc Changed default argument of precompute in ElasticNet and Lasso
new 7cb3ba1 TST: Added tests to test Deprecation warning
new 2071518 DOC on negation of loss functions used as scoring parameters
new da74962 DOC reduce table width through less-qualified function names
new f8473af Reformatted docstrings in multinomial functions. Refactored multinomial functions to avoid duplicating code.
new c3b0a69 Wrap _multinomial_loss_grad in lambda function for passing into lbfgs.
new 984e9aa increasing testing precision, putting comment on one line and adding asgd to regression benchmark
new d5a3ff9 FIX ensure that pipeline delegate classes_ to the estimator
new 5e2d965 pep8
new d7c17a1 TST bagging of pipeline of classifier
new e579171 DOC update what's new
new d6c9129 changing parameters for asgd regression benchmark and changing array shape for docstring
new d0ea44d adding space to shape and putting // in average division
new 90e5b2a DOC: Document criterion_ attribute in LassoLarsIC
new 70d910b Merge pull request #3740 from MechCoder/lassolarsicattribute
new e93d313 DOC for the Git novices: cd to the clone directory
new 5b3208a debian/patches - deb_skip_some_tests_on_arm -- skip two tests on armv to avoid FTBFS
new 263f398 up_workaround_buggy_pil -- workaround a bug in PIL
new fd57806 MAINT remove integer warnings under Python 3 + numpy 1.8+
new 1a29be6 fix svm.fit in feature_stacker.py
new fd8dc24 removing spaces for tuples of width 1
new 0bd095f FIX: Raise warnings in f_classif a given feature is constant throughout
new 22cc25f ENH: More descriptive error which prints the feature indices
new bee0a98 cosmit in warning message
new 85f70f8 Update feature_stacker.py
new ef43e7d DOC: Narrative doc for median_absolute_error
new 53d1711 ENH: Reworked _modified_weiszfeld_step
new afda6b0 DOC: Improved _spatial_median docs
new 89d5aa0 COSMIT: Replaced xrange by range
new 51cef86 COSMIT: Renamed y -> x_old in _modified_weiszfeld_step
new d3de579 COSMIT: Renamed spmed[_old] to spatial_median[_old]
new 1f67b56 COSMIT: Break and for .. else in _spatial_median
new 222e23c adding asgd to whats_new.rst
new 9ce2444 ENH: Reworked _lstsq in theil_sen.py
new a0f0d46 fixing merge conflicts
new 389d13d ENH: Replace AssertionError by ValueError
new 25746e2 COSMIT: Improved error message in theil_sen.py
new 8955fd0 COSMIT: Renamed n_all to all_combinations in theil_sen.py
new 08d98f7 Merge pull request #3480 from dsullivan7/sgd
new 961a2ea COSMIT: Consistent naming for n_subpop
new 27ef88f COSMIT: Fixed pep8 problem in theil_sen.py
new 5618ce3 FIX: Thresholded Nearest Centroid fails with non-encoded y
new 4633c52 DOC: Moved notes section to long description
new a5d2fd9 Merge branch 'master' into theilsen
new d826dec Modify shape check on coef matrix in _logistic_regression_path.
new 7ac7fdc Merge pull request #3746 from MechCoder/nearest_neighbor_manhattan
new 89c8175 Bug fix in computing the dataset_centroid in NearestCentroid
new 54eb478 FIX: Remove test that tests state of warnings before and after assert_warns
new 701cd8a Merge pull request #3669 from pprett/fix-isotonic-pickling
new 5776517 ENH: Added median_absolute_error to metrics
new afc372a DOC: Added doc in model_evaluation.rst
new 7f7fa1b ENH: unit tests for median_absolute_error
new aadd504 DOC: Added return doc to _lstsq
new 562f4e4 COSMIT: Better variable names for _modified_weiszfeld_step
new d9bdddd COSMIT: Moved epsilon to module level
new 9c1b0c0 COSMIT: Some empty lines for better readability
new 0dfa4d0 Merge pull request #3742 from abhishekkrthakur/master
new 5dfbc78 ENH: test_common.py unit tests pass
new c9e711b FIX: Small typo
new 0298d9d Merge branch 'master' into median_absolute_error
new 076bad6 ENH: Removed median_absolute_error due to PR #3761
new 5b3a387 ENH: Made n_subpopulation a fit parameter
new bb3705c DOC fix (Nu)SVR attribute shapes in docstring
new 4d1692c FIX sign flip in (Nu)SVR with linear kernel
new cd7b43c TST make catch_warnings blocks more robust
new 1e4492a Merge pull request #3761 from FlorianWilhelm/median_absolute_error
new 8478d3c Merge pull request #3750 from MechCoder/bug_nearest_centroid
new 20a5952 ENH added digits as optional arg for classification_report
new 9a3ad6a COSMIT: Some renamings and PEP8 compliance
new 9ebed28 Merge branch 'master' into theilsen
new 657c86f ENH: Removed 1d shortcut in _spatial_median again
new 8e5347b COSMIT: Clearer slicing syntax in _modified_weiszfeld_step
new 6564d23 ENH: Fixed confusing X = X.T renaming
new 7a1a35d COSMIT: Some renamings in _lstsq
new 923619f FIX: Fix of last merge with master
new c377ccd COSMIT: Renamings for easier understanding
new ec663e6 COSMIT: Another slicing syntax cleanup
new 859992a TST: Test that the warning registry is empty after assert_warns
new 29c21f0 Revert "ENH: Removed 1d shortcut in _spatial_median again"
new 777cd87 ENH: sample without replacement
new 85d9c59 FIX warning check in test_affinities
new 04f6d12 fix to a minor bug with intercept
new 031a3fc Merge pull request #3763 from ogrisel/fix-warning-test-affinities
new 34df94d TST: Test that assert_warns is reset internally
new 4213c04 DOC: Make it explicit that assert_warns clears the warning registry
new 64fc5c9 Merge branch 'master' into theilsen
new e3d1c32 Merge pull request #3752 from MechCoder/remove_testing_test
new a5618f9 Merge pull request #3770 from dsullivan7/asgdintercept
new a2d7f89 fixing duplicated classifier in asgd test
new 8d82d2a Merge pull request #3773 from dsullivan7/sgdtestfix
new 6744be2 Merge pull request #3646 from s8wu/multinomial_newtoncg
new ea1548a Add quantile strategy to DummyRegressor. Fixes #3421.
new d2fa6a8 Update what's new
new 5e1faef Expose positive option in elasticnet and lasso path
new 2810f5a COSMIT reshape for all regression strategy + avoid xrange
new 6b0b773 COSMIT less nested constant check + use comprehension
new 4fcd6b8 COSMIT: pep8 and renaming
new b8cd60b COSMIT: replaced assert by assert_less/greater etc.
new b698d9f Revert unwanted modificatoin
new da31344 Add sample_weight support to Dummy Regressor
new e0f4cd9 Use np.average instead of np.mean
new 13c2b00 TST: Add tests and document whats_new.rst
new 0db66ba Merge pull request #3778 from MechCoder/expose_positive
new 4aea364 DOC: FAQ: what to do with strings
new d5ec39b TEST: No console output during unit tests
new f9ecbf7 ENH: Always set random_state in unit tests
new f92074a ENH: Speedup of unit tests
new c54c17e COSMIT: Better consistency
new b27ee40 Update what's new: full name of Staple
new 2137d82 ENH: Added random_state in plot_theilsen.py
new beb0843 DOC: fix doc inconsistency in GMM
new 2b6a9fa Merge pull request #3783 from jakevdp/gmm-doc-fix
new 535d1f6 DOC fix Isomap docstring formatting
new 0bdaecd bug fix for issue #3526
new e324fdd bug fix for t-SNE (issue #3526) with new inputs
new 7b01c0b Remove trailing '\' and add test
new bf7993e Describe default metric
new 6f41bd1 ENH: Patches Nearest Centroid for metric=manhattan for sparse and dense data
new 91450c6 FIX: Wrap csc_row_median around the _get_median imputer function
new 9622e85 MAINT: Move _get_median into sparsefuncs to avoid circular imports
new 3e7b816 DOC: Explain why the centroid of the manhattan metric is the median
new 2daa028 Renamed csc_row_median to csc_median_axis_0
new bda6706 Warning for non-euclidean and non-manhattan metrics
new 8fc9918 Sparse matrix conversion depending on the type of metric
new e871972 Update what's new.rst
new 30619ff Merge pull request #3772 from MechCoder/manhattan_metric
new d4405cb MAINT remove deprecated oob_score_
new a0e5fcb Merge pull request #3786 from AlexanderFabisch/tsne_fix
new 92a02ad adding example for memory wrapper
new 51d6fa2 A short cleanup
new 2c2e1e2 Merge pull request #3795 from dsullivan7/svm_doc
new 9be8718 recovering deleted variable
new 6b548f9 MAINT remove deprecated loss in gradient boosting
new d71c529 Handle_unknown option to OneHotEncoder
new afae1c7 DOC add missing public function into the references
new f0405a2 DOC: Remove extra # from url in fit.
new b7ee11b Merge pull request #3797 from Titan-C/clean
new a383729 Merge pull request #3801 from cmd-ntrf/typo_vbgmm
new 72db6ae DOC: Make the comment slightly clearer
new 9c1c811 Merge pull request #3800 from MechCoder/unknown_transform
new 626f672 COSMIT: Minor opt in pairwise_distances_argmin_min
new b500e3e OPT: Speed improvements by avoiding repeated calls to check_array
new 3f49cee Merge pull request #3811 from MechCoder/fix_repeated_checking
new 2f275de ENH Add cross_val_predict function
new 6deaea0 FIX score precision in doctest
new 8eee4bc Implements Multiclass Hinge loss
new e6835a7 Merge pull request #3779 from arjoly/sw-dummy-regressor
new 29c7181 Update what's new
new d3f4936 FIX #3503: use linalg.pinv to better deal with singular input data
new c1efa9a FIX in KDE fit and score allow y=None, add test for use with pipeline and gridsearch
new 2ca16ba Fix using ground truth in silhouette score in document clustering. Closes #3806.
new 87b23ba DOC explain SelectorMixin strategy with multiple classes.
new d21d6dd Sample weight support for hinge loss
new e01f225 COSMIT: Use searchsorted in weighted_percentile
new c03c01a ENH Bring sparse input support to tree-based methods
new 0bc8a98 FIX+ENH add min_weight_fraction_split support for sparse splitter
new 7cb9a5c Re-organize code dense splitter then sparse splitter
new 0e86dfd Simplify call to extract_nnz making it a method
new 9dd87ad ENH while -> for loop
new 62893e3 ENH reduce number of parameters
new 70226d0 FIX min_weight_fraction_split with random splitter
new 6cd9333 FIX min_weight_leaf in best sparse splitter
new 306924b ENH remove spurious code
new cb9b741 cosmit
new c6af5c6 ENH adaboost should accept c and fortran array
new cb11511 COSMIT simplify function call
new 1c26cec ENH expand ternary operator
new 3047cd6 Revert previous version
new 38183c8 ENH move utils near its use
new 06701fc ENH add a benchmark script for sparse input data
new 9f3f5bb Extract non zero value extraction constant
new 24281b1 Lower number of trees
new c31d565 wip benchmark
new bf98916 Temporarily allows to set algorithm switching through an environment variable
new 2838a14 Benchmark: Add more estimators + uncomment text
new 8b3b071 FIX duplicate type coercision + DOC fix inversion between csc and csr
new 4f423d6 Remove constant print
new 2fe9da7 DOC Add note about sample weights in export_graphviz.
new 87dc30b Merge pull request #3829 from amueller/feature_selection_from_model_doc
new 9033865 FIX raise error when number of features changes in partial fit, Add common test for inconsisten number of features for partial fit.
new 248a503 Fixed issue 3815. Discrete AdaBoostClassifier now fails early if the base classifier if worse than random.
new 52472bc unused variables are redefined later
new cf96bba FeatureUnion example using a heterogeneous datasource.
new 6e7b11e DOC RidgeCV more explicit documentation of CV parameter, taken from GridSearchCV.
new 1100616 Merge pull request #3571 from jnothman/fix-link-embedding
new bdd7d67 MAINT CI: collect rackspace DNS info
new ff0c6d5 MAINT try to avoid HTTP timeouts to rackspace
new 158d61f Update about page
new c1a429e Remove unused distance calculation from clustering example.
new a642428 DOC link to NLTK website
new 54f483a FIX #2986: ZeroDivisionError in LinearRegression on sparse data
new c84260b DOC: add funding from Paris-Saclay Centre for Data Science
new 6efa1cd DOC FIX: typo and minor update
new c706386 Merge pull request #3854 from justmarkham/doc-changes
new f7cea2b Merge pull request #3833 from amueller/sgd_partial_fit_variable_length
new 429d064 Merge pull request #3853 from ogrisel/backport-lsqr-fix
new 651453e Added missing GSOC student
new ab57964 COSMIT add Base prefix to DenseSplitter and DenseSplitter
new ee53f51 TST stronger non-regression test for #3815
new 2fe50a2 Merge branch 'pr/3837'
new a699394 FIX make assert_raises_regex backport for 2.6 consistent with 2.7+
new a704528 Merge pull request #3861 from ogrisel/fix-python-2.6-test
new fe553b7 ENH use specific warning class for RP
new 9e00238 Raise error when sparse matrix is supplied to predict in KNeighborsClassifier.
new 6e904c8 gen_rst informs file with missing documentation
new 68aa42b fix tab error
new 598b007 Merge pull request #3862 from Titan-C/doc_comment
new a9de284 Merge pull request #3852 from lesteve/add-cds-funding
new a65ff57 Merge pull request #3860 from ogrisel/custom-rp-warning
new 0ce8886 DPC FIX latex error in multiclass hinge loss
new 076c822 COSMIT: minor cleanup
new 6137579 Small typo.
new 24cbf1d Merge pull request #3857 from MechCoder/test_sparse_knc
new 65d4cc1 Merge pull request #3867 from snuderl/patch-1
new a049ada DOC: Typo in dict_faces.py
new f0fe4af Merge pull request #2949 from FlorianWilhelm/theilsen
new 167e96e MAINT remove multi-output support from meadian absolute error
new 2504cd6 Merge pull request #3868 from MechCoder/typo_example_faces
new 60cadce Fix RFE n_features minimum value #3812
new 8142664 DOC: Added whats_new for TheilSenRegressor
new a030734 Accelerate AffinityPropagation.
new 8621f00 Merge pull request #3173 from arjoly/sparse-tree
new 968ba9b Merge pull request #3870 from FlorianWilhelm/whats_new_theilsen
new 31d5f0d DOC update whats_new.rst (sparse data for trees)
new c095dc8 Merge pull request #3826 from amueller/kde_y_none
new 67fed69 Add random forests to document classification example.
new 8a8ead3 Minor typo in plot_dict_face_patches.py
new eb660ed FIX: Raise error when patch width/height is greater than image width/height
new aaf86bd Update documentation.rst
new 89929d8 AffinityPropagation: save memory by reusing tmp.
new 8e66030 added n_init check for k_means()
new 7cee54d Merge pull request #3871 from anntzer/fast-affinity-propagation
new 9a36668 DOC fix what's new for sparse trees
new dcd21f3 Merge pull request #3858 from banilo/km_init
new f5e7cb1 MAINT bump joblib to 0.8.4
new 7d2caa2 DOC add documentation improvements to what's new
new 443e590 DOC update whats_new.rst for AffinityPropagation optim
new 2fecf6f Fix RFE n_features minimum value #3812 and make it simpler.
new 1d6566b Merge pull request #3690 from queqichao/fix_bug_in_cross_validation_when_using_sparse_matrix_for_fit_params
new d0eb09b FIX clip SGD gradient on linear models for stability
new 75afb5d WEB fix css for new version of sphinx.
new a605bb9 Use plot_galler=0 in makefile for sphinx >1.2.3 Also works with 1.2.3
new 373e641 MAINT refactor gradient boosting code
new 37f1195 TST update numerical overflow (non-regression) tests
new 4a8c7a7 Fixes #3644
new e4f62b1 Added NRT for return_path propagation check
new 1945aec DOC: Fix LabelBinarizer docstring to rst format bug
new f5e0ea0 Merge pull request #3883 from ogrisel/sgd-stability
new b8fc0b9 DOC update whats_new.rst for SGD stability
new c95703a FIX unlikely pickling error of splitters
new 089d2f7 TST add a toy test for min_weight_samples_leaf
new e7bab89 Merge pull request #3823 from ragv/omp-3644
new b15df0d Typo
new 00f1bb7 Update plot_outlier_detection.py
new 18de735 Merge pull request #3889 from jdcaballero/master
new ff8e1de DOC: COSMIT: Naive Bayes long url + PEP8 cleanup
new b356338 Merge pull request #3892 from mrshu/mrshu/naive-bayes-small-fixes
new e00fd83 DOC narrative docs for grid search's robustness to failure
new 7a59791 DOC fix layout: ensure stable width of documentwrapper
new 1852ba9 Fix BallTree and KDTree Docs
new 84f1134 DOC target URLs on SGD loss / penalty figures
new 81ac899 ENH add coverage multilabel ranking metric
new 02938a7 Remove copy paste mistake
new 9311f12 DOC improve documentation of coverage
new b1ef356 TST make separate tests for coverage + remove redundant tests with commons
new ee8500f DOC clarify how ties are broken for coverage_error
new acddda5 ENH add sample_weight support
new 20850c2 DOC typo
new c698834 TST + FIX ensure that it fails if sample_weight has not proper length
new b351548 DOC more explicit title
new 24b6e1e Update what's new
new 226fe51 Merge pull request #3882 from MechCoder/doc_tree
new 5474983 If step is explicitly zero or negative, raise a ValueError exception.
new da8720b Merge pull request #3881 from amueller/code_tag_new_sphinx
new 23f314a Merge pull request #3893 from jnothman/css_fix
new 4ee7360 DOC add missing load_svmlight_files to api references
new e6ed1e3 MAINT enable verbose output to track random failure on appveyor
new fd791ca ENH Release gil in feature importance
new c24ada0 ENH use threading backend for features importance parallelisation
new c1894b5 FIX explicit initialization of normalizer
new e52b763 Don’t embed hyperlinks during latex file generation.
new 4f1c381 Merge pull request #3900 from dimazest/latexpdf
new 0a8ede1 Minor doc enhancement: documented setup develop.
new 8537b21 Fix example in plot_pca_3d.py (color array had wrong size)
new 956018a Added link to the setuptools doc and a note on the need to rebuild every time a compiled extension is modified
new 867af08 Merge pull request #3578 from jnothman/pls-validation
new 92f0d76 Merge pull request #3905 from jlopezpena/fix-example-plot_pca_3d
new 84d53c6 FIX handle selection in feature names for example
new d96f196 DOC Fix broken class references
new 744614d Check if targets is a numpy array and convert it into one if it isn't
new a07841b Merge pull request #3902 from JeanKossaifi/doc_enhancement
new daaec8a reverted css to current stable, fixes the display bug
new 8b414de Merge pull request #3898 from arjoly/nogil-feature-importance
new ff2b244 Merge pull request #3899 from jlopezpena/fix-OvOlist
new 60e3577 DOC "RF" -> "Random forest" in text classif example
new 3f82c20 Merge pull request #3915 from ThomasDelteil/fix_css_examples
new 504d222 Replace 'coefs' by 'coef_' in PLSRegression
new 7de192b Merge pull request #3920 from jlopezpena/pls-coef
new 7c50e6c various docstring fixes for web docs
new 93bab70 ENH do not use plt.cm.jet in JL bound example
new 969e677 DOC fix kernels documentation inconsistencies
new 86d4f04 Fix tinyclues logo in doc/about.rst
new 0fd4c14 Merge pull request #3923 from Lothiraldan/patch-1
new afb22bf Merge pull request #3921 from trevorstephens/docstring-format-fixes
new 2c0a6db gen_rst to use css tooltip instruction
new ed2b556 remove gallery css chunk from theme css
new e079f38 Remove JS from examples gallery
new c9041e1 Examples gallery css file
new cc0a34a fix gen_rst file extension
new 935fa24 add crossvalidation
new 65d2e0d DOC add missing import to plot_underfitting_overfitting.py, fix plot height.
new 21d3bc2 Merge branch 'pr/3914'
new 47257c2 Update what's new
new a5ecd0b FIX copy paste mistake
new cea3dc8 Merge pull request #3925 from Titan-C/cssbox
new c828f03 Merge pull request #3869 from borjaayerdi/rfe_n_features_to_remove
new 5489c84 DOC more expansive description of well-established algorithms
new 8dd7f16 adding support for class_weight in fit method
new 6a98856 DOC typo
new 7e1a0ee ENH LinearSVR using liblinear code
new b3717d2 what_new entry for KD and BallTree doc fixes
new afe890b adding warning if passing class_weight through fit
new f75a140 Fixed error message typo
new 5f0278c Merge pull request #3936 from sethdandridge/typofix
new b27759b FIX random state in isomap test
new ea1d134 MAINT get rid of undefined variable warning in Liblinear
new f35116a Allow list of strings for type_filter in all_estimators.
new 1496804 MAINT trailing whitespace in linear.cpp
new 63c378f Let nr_fold = l when nr_fold > l in CV
new 7ede0df MAINT liblinear class label logic (disabled)
new f690b4a COSMIT tabs/spaces in Liblinear
new f1916c8 MAINT variable initialization in Liblinear
new 60860e4 MAINT some cleanup in Liblinear
new 9e1ea63 MAINT use size_t in Liblinear
new a646615 MAINT changes to (disabled) Liblinear code, from upstream
new 165f949 Merge pull request #3934 from amueller/common_test_slight_cleanup
new 57ea0c0 Merge branch 'update-liblinear'
new b99824f changing warn message, making it Deprecation Warning, and removing negative index for py2.7
new c1a3688 ENH: Birch, first commit
new f19aee9 add example for birch + make it more pythonic
new 0ed517f Made the following changes 1. Improved documentation. 2. Added sanity test. 3. Moved example to a separate folder 4. Optimised compuation of centroids. 5. Added underscore to public attributes.
new d5a654d ENH: Made the following changes 1. Added partial_fit and predict methods 2. Inherit from ClusterMixin from fit_predict methods 3. Removed inplace modification of X and self.copy 4. Added final global clustering and n_clusters param.
new d3f4361 OPT: Set check_X_y=False internally in birch
new 923fb2e OPT: Increased the code speed by doing the following. 1. Prevent recomputing centroids. 2. Precompute the squared_norms as much as possible, and remove call to pairwise_distances_argmin_min 3. Cached centroids_ and squared_norms_ to prevent repeated iteration across subclusters_ 4. Compute the closest_threshold when needed. 5. Remove enumeration of X 6. In plase modification of dot products.
new 2b3296b OPT: Made the following changes. 1. Used np.unravel_index 2. Improved docs and removed unused imports.
new dcfdf6c ENH: Added example to compare birch and minibatchkmeans
new bb629cb ENH: Add arbitrary clusterer in the global clustering step and test
new 46f2951 ENH: Sparse matrix support
new ab68f07 TST: Add tests for branching_factor
new 7ed6c5f OPT: Remove unwanted calls to np.asarray for self.centroids_
new f4afc7e ENH: Add narrative documentation
new 08d3dfe STY: Cosmits in documentation
new 64a4a11 Made the following changes 1. Inherit from BaseEstimator to enable pretty printing 2. Add transform function
new a4e7ff3 DOC: Update documentation of _CFNode
new abc7808 Made the following changes 1. Fix condition for checking threshold. 2. Fix the global clustering by remapping the samples to the subcluster_centers. 3. Add tests for threshold. 4. Minor doc and cosmits.
new 42d0dc2 Made the following changes. 1. Prevent recomputation of updating centroids. 2. Use algorithm='brute' so that sparse data can be handled.
new 000c9b1 Made the following changes 1. Remove call to KNeighborsClassifier 2. Set default branching_factor to 50
new 2330834 Prevent preprocssing for iterating over dense data
new 129f371 DOC: Modification to the documentation of threshold
new b01e21e Made the following changes. 1. Update doc and whatsnew.rst 2. Fix coloring
new c5440bf Made the following changes: 1. Make clear that partial_fit(None) enables global clustering. 2. Add compute_labels argument.
new 767bf26 API: Rename n_clusters to global_clusters
new f12fc13 Changes to narrative documentation
new 30ebaa8 Major changes 1. Refactored node splitting into a private function called _split_node. 2. Added copy argument to copy the data once and for all. 3. Removed n_samples_ attribute in CFNode. 4. Removed X and added linear_sum as an argument to the constructor of _CFSubcluster.
new 54e7f88 Rename global_clusters to n_clusters again
new 815844d FIX: Remove trailing attributes in __init__
new 13ab4d5 Explicit error when n_dim changes during partial_fit
new 3810578 Rewrite model if fit is being called after partial_fit or vice versa
new a894b2e Update whats_new.rst for n_iter_ attribute
new 7e40e59 DOC added note to warn users not to __init__ params with trailing _
new 2cfdc1c Merge pull request #3940 from ragv/doc_own_estimators
new ce6a01d Tuple unpack farthest_dist
new 8985769 DOC clarify RandomTreesEmbedding docstring
new 081a554 FIX P/R/F metrics and scorers are now for binary problems only by default
new 56ee99c Merge pull request #2679 from jnothman/prf_average_explicit
new b9474d0 Made the following changes 1. Made radius a property. 2. Added test for compute_label. 3. Minor changes to doc and split_subcluster. 4. n_cluster -> clusterer.
new f86622d MAINT: Moved compute_label test to common tests
new 4ebdb35 MRG: Fix FeatureAgglomeration docs
new 5a019b7 adding simplefilter for warning
new 35e5411 facecolor/edgecolor are passed arguments to savefig if they differ from rcParam['figure.facecolor'] From nilearn
new 9392445 DOC explain t0 in the docstring (currently somewhat confusing)
new bf1691b 'none' is an acceptable value for penalty
new 9d8f3f3 Merge pull request #3955 from hammer/patch-1
new ae61464 Merge pull request #3954 from amueller/fix_sgd_learningrate_docs
new 6dab7c5 Merge pull request #3802 from MechCoder/birch
new de35bea add support for class_weights
new 6cb191c changing warning test to use assert_raises_message
new b8b68e3 COSMIT: Make how to use partial_fit render properly
new e6a464b ENH: Use check_X_y in pairwise_distances_argmin
new f2c200e Merge pull request #3962 from MechCoder/check_X_y
new 69d393a Merge pull request #3931 from dsullivan7/cwwarn
new 48cbbab CLN: Fix typo in comment
new 2ceed3b Merge pull request #3964 from bwignall/boostdoctypo
new 07a94c0 FIX: ward_tree now returns children in the same order for both structured and unstructured versions
new dfa5567 Add forgotten newline
new cca417a Cosmetic change in test
new b131ad2 add multioutput support & bootstrap auto mode
new 4c77ae8 expanded class_weight dimension fix
new ad7e772 Fixed a bug in RFECV when step != 1
new 6039b18 Merge pull request #3824 from nmayorov/rfecv_bugfix
new 5da3428 Merge pull request #3953 from Titan-C/savefigarg
new a295697 FIX: Raise AttributeError for fit_predict
new eabd2f5 ENH: Add metric support to neighbors_graph
new 0f3cf10 Replace feature with sample
new eb6fcb2 Remove optional input validation from pairwise_metrics
new f346484 Merge pull request #3946 from MechCoder/doc_fix
new 1e8bdb8 FIX bug in fit_params assumed to be an array
new 780fb23 DOC: make LinearSVR appear in the doc reference
new 7dcd08b DOC fix/expand Imputer example docs
new ecc19dc Minor changes: float conversion and rename rnd into rng
new 97e88e1 Validation of params passed to neighbors_graphs
new 1e0b653 Merge remote-tracking branch 'upstream/master' into wtree_children
new b2035c6 Merge pull request #3969 from MechCoder/remove_check_X_y
new 0ecfc0b ENH FIX Raise ValueError when the target does not match with classes arg
new c81c679 TST Added NRT to test if ValueError is raised during target mismatch.
new de6bfab Merge pull request #3968 from MechCoder/metric_neighbors_Graph
new 15157f9 Merge pull request #3966 from mvdoc/wtree_children
new 2a1d214 ward_tree returns heights (distances) between the clusters both for the structured and unstructured version. Useful for plotting the dendrogram with scipy.
new 65335fc ENH: `ward_tree` returns distances
new db04340 changed xrange to range for compatibility with Python 3
new 83efd8a TST, test ward_tree_distance on known dataset
new a57b510 FIX: structured and unstructured ward_tree return children sorted in the same way
new 428fc94 Cosmetic change in test_hierarchical, better documentation
new 9b2e0c7 Add ENH description in whats_new.rst
new 5166f05 Add better description of distances, cosmetic changes
new 73c7453 Fix git rebase problems
new aa04eba Add forgotten IFs
new 756e000 ENH: Allow connectivity to be a callable in AgglomerativeClutering et.al
new b341a32 Remove support for int and update whatsnew.rst
new 8e0dc6b Refactored LDA module (first working version).
new 4e1c63b Added LabelEncoder and updated most of the docstrings
new cadb488 Updated more docstrings
new 981fbe0 Return self in fit()
new f130922 Use equal priors by default
new 7d81299 Added simple LDA example
new a98e0d3 Moved some common code into helper function
new 27f696d Support manually set shrinkage parameter (alpha)
new 7216260 For now only the svd solver supports the transform method
new d01e9a2 Updated LDA unit tests
new d239fc4 Simplified LDA vs. shrinkage LDA example
new c297502 Removed magic number
new b9601cc Addressed @mblondel's comments
new 21fbb53 Updated parameter name in help text
new 6296194 Parameters are now consistently named; also refactored the _means_cov() function
new 4c63712 Added different shrinkage values to test cases
new 125fa22 Updated LDA example and removed decision plane comparison
new 057cf64 Increased coverage
new c93485f PEP8 style conventions
new 350f973 Catch NotImplementedError
new e4f4f6d Fixed doctest
new c6d595f Use assert_raises() correctly
new 4140249 Removed private _decision_function()
new b787f80 Revert last commit because it broke some tests
new fa21b5c Assert that the coefficients of the solvers are approximately the same
new 1ff5199 Replaced str with six.string_types
new 4dede9a Raise error if alpha is not the expected type
new 84a41f5 Cleaned up docstrings.
new 4ba7c3a Cleaned up one more docstring.
new 76963c0 Addressed some comments by @agramfort.
new 764efbe Changed format of shape parameter in docstrings.
new 84b1008 Updated test.
new 685c627 Use broadcasting to scale back instead of multiplying with a diagonal matrix.
new 96e78e1 Added random seed.
new 97ab90b By default, estimate priors from sample.
new 5deb80f Fixed docstrings.
new a5ae150 rename alpha to shrinkage + docstring cosmits
new 8f47351 use random state in test (no global seed) + cosmit
new 5ca36c8 Updated example because store_covariance is now set in __init__() and not in fit().
new 9d9eb91 Changed parametrization of coef_ and intercept_.
new 7c1101d Treat the binary case differently from the case when n_classes > 2.
new 1e469b2 Introduced step size to speed up the example.
new 7a5563d (Hopefully) fixed Travis bug on Python 2.6.
new f2fcafe Another try to fix the Travis bug.
new 7e4356b Inherit from LinearClassifierMixin.
new 5cb217d Added shrinkage LDA entry.
new aede3d6 Rename parameter value 'ledoit_wolf' to 'auto'.
new 8c016e8 Test that lsqr and eigen solvers return almost exactly the same coefficients.
new 70773bc Added deprecation warnings to store_covariance and tol parameters in fit() method.
new a88ad9e Added sentence on lsqr vs. eigen solvers.
new 095c7a9 Now correctly use weighted average to compute the class covariance. Cleaned up code and added references.
new 936acf7 Works with one feature.
new d8024bb Updated LDA tests.
new 71a23ef Fix problem with np.linalg.norm for version <= 1.6.
new 081418f Added documentation for the three solvers.
new b23a55b Updated documentation on shrinkage.
new 4937c5c MAINT: fix silhouette typo
new ae7b1a4 Merge pull request #3974 from lesteve/fix-silhouette-typo
new 73283e9 MAINT remove probability kwarg from SVR and NuSVR
new 12ba788 Merge branch 'pr/3944'
new 5b90e97 TST remove SVR(probability=True) from AdaBoost tests
new f68b8bc Clean code
new 2b56343 Use check_array and remove shape check
new 5db4a34 Clean code
new 6db5754 DOC: Improvements to children_ attribute in AgglomerativeClustering
new 4a02469 Merge pull request #3158 from mvdoc/clustering
new 389a43f Fix typo
new 1dad4d1 Merge pull request #3979 from lmichelbacher/patch-1
new d4d181f Borrow a bit from scipy definition
new 40c03d4 COSMIT pep8 fixes to sklearn/tests
new 40140aa ENH: Implemented LSH forest
new 8968b8c TST tests for LSHForest
new ebd639f ENH Added radius_neighbors method to LSHForest.
new d10025b MAINT refactor LSH forest code
new 5ba5bf7 Updated docstrings and tests. in fit, kneighbors and radius methods, None type is not checked because it is not an expected input.
new 0a80e1b Used bisect in _find_matching_indices method.
new 2539e2f Removed cached hash and replaced with numpy packbits.
new d69d036 Updated lsh_forest and test_lsh_forest.
new cd06396 Updated docstrings for tests.
new 8098264 DOC Added example for LSHForest.
new b6a6439 FIX Updated tests. renamed lsh_forest to approximate.
new c096d64 DOC Updated the example. Updated the compute distance function to use row_norms.
new 59b5e39 COSMIT pep8 LSH code
new d20e54e DOC Updated the document of neighbors module.
new 77333c5 FIX Completed tests for missed lines.
new ea3b8fa DOC editing for LSH forest narrative documentation
new b862d3e FIX Updated examples
new 3a752d4 Removed redundant ran_seed from GaussianRandomProjection Initialization.
new f245815 Updated Approximate nearest neighbors in neighbors.rst
new cdafbb7 Inlined generate_hash into create_tree in LSHForest.
new 179ec4e Updated test_approximate.
new 56e47da Re-written Approximate nearest neighbors documentation.
new f7f7e95 FIX Moved random_state to fit method to pass seed to create_tree.
new c7827bc FIX Updated plots in example.
new 8981251 DOC Included information about distance measure and LSH method in the documentation.
new 4dc7cee Added test to check randomness of hash functions.
new 8687547 FIX Added integer as random_state to test_hash_functions.
new 009ce30 Updated example to avoid redundants.
new f3f9b9b Example splitted into hyperparameters and scalability.
new 89b5cae FIX Fixed accuracy error in scalability example.
new ed4feb7 DOC Added new section-Mathematical description of LSH.
new b018524 Created benchmark for approximate nearest neighbors.
new f246fb6 Added scalability plots into documentation.
new 4aa8e28 FIX Modified tests to handle cosine distances instead or euclidean.
new f447a9c Updated example with cosine measures.
new 6cb40af Modified plots in hyper-parameters and scalability plots.
new 6368349 FIX Added user warnings for insufficient candidates.
new bf4b7ec Changed parameter descriptions of LSHForest.
new 197699b FIX LSH: Fill up candidates uniformly from remaining indices
new 1dea55c Added KNeighborsMixin, RadiusNeighborsMixin.
new ed802bb Added tests for graph methods.
new bd0c8d3 ENH improve LSHF scalability example
new 53e04ed FIX Fixed benchmark.
new e14a317 ENH Added error bars to scalability example plots.
new a43b91e FIX Fixed ordering of returned neighbors.
new fa70b57 DOC: explain the importance of iid index and queries in bench script
new f4cd6a1 ENH: ensure that max hash size and hash dtype are consistent
new e5cd707 DOC Modified documentation of approximate neighbors.
new 23efc3b FIX Fixed example.
new c4de952 ENH Modified hyperparameters example to calculate stadard deviations of accuracies.
new 76454fe ENH Modified approximate neighbors doc string.
new 5556f86 ENH Changed doc string and comments in test_distance function.
new a8fc522 ENH more LSH scalability example and doc improvements
new 7de8e3f ENH Used GaussianRandomProjectionHash for handling hashing.
new 0ebfff2 ENH Changed description of hyper-parameters example.
new 4a2fecb ENH Inlined _create_tree method.
new b3f93ca DOC fix LSH forest docstrings
new 639c879 ENH Modified kneighbors and radius_neighbors methods.
new 02f26eb FIX Fixed partial_fit.
new 31dbad5 TST improve tests for approximate neighbors.
new 32491b0 FIX Modified assert_warns_message to ignore order of warnings.
new 8181fe9 FIX LSH benchmark: joblib import, hardcoded /tmp
new 1081f81 Merge pull request #3980 from larsmans/lsh-forest
new 0597c23 TST/FIX ensure correct ducktyping for metaestimators
new 0374abf TST extend ducktype testing to handle #2853 case
new 94f37f4 FIX ducktyping for meta-estimators
new 50501d5 TST more rigorous testing of delegation
new 7ac19ac remove _iff_attr_has_method function
new 86f4ee1 don't give names to decorators
new c6b2049 DOC: what's new: LSHForest
new 3247803 ENH: Return distances option for linkage_trees
new 7a38062 FIX backward compatibility. force_arrays was never in a release, allow_nd was a legal option to ``train_test_split`` that raises an error in master.
new acc25a4 Merge return_distance tests of both linkage and ward tree
new 1aa5a9f Merge pull request #3523 from cle1109/slda
new 3fdc5d5 Add documentation for return_distances option
new 9845c04 make attribute decriptor have the right docstring.
new 37f0e2d add regression test for docstring delegation
new a1510a1 fix docstrings in sphinx
new cedaf1f Merge pull request #3986 from amueller/remove_allow_nd_in_train_test_split
new 41e2c10 rename decorator
new acb924f Merge pull request #3952 from MechCoder/callable_connectivity
new 201fb08 COSMIT: Removed XXX comment related to LIL matrices
new 860f773 FIX: Fix bug in computing full tree when n_clusters is large
new ad514d6 DOC: Add note to whatsnew.rst
new 4f0d2aa Merge pull request #3978 from MechCoder/compute_full_tree_bug
new caf27db Small typo fix in the comments: "whther" --> "whether"
new cbf6c7e Merge pull request #3989 from hammer/patch-2
new 8a197e1 Merge pull request #3976 from MechCoder/agglomerative_playground2
new bf62754 TST: Test ground truth in linkage trees
new e736d76 ENH support sparse matrices in LSHForest
new c53ff7c ENH vectorise _find_longest_prefix_match
new 2d6f1c3 MAINT remove deprecated auc_score function
new ed5c63f TST LSHForest benchmark script uses vectorised queries and fixed random_state
new 2182262 Merge pull request #3985 from MechCoder/return_distances
new 4f2d27b FIX not all scipy.sparse support rand with random_state
new 91c2386 STY cleaning some LSHForest query code
new 085d677 add class_weight to trees, expand tests & minor refactor
new d5c57a7 COSMIT flat > nested / avoid duplicate validation
new 3056ec1 TEST A duplicate minimum value should not yield non-finite predictions in IsotonicRegression
new 983e574 FIX Adding eps to minimum value in clipping in IsotonicRegression
new 9cfb506 STY remove unnecessary variable/operation
new 14fe83c Fix typo in SVM docstrings
new 6a9a43b Merge pull request #3997 from pricingassistant/doc-typo-fix
new 4d8cbba STY remove unnecessary variable/operation
new 8f95410 ENH sparse metric support for paired distances
new d255866 DOC Add inline comment with reference to scipy issue
new 636502f Merge pull request #3995 from jmetzen/fix_isotonic
new d6a12c4 Fix a typo on svm.rst
new 9341b05 Merge pull request #4000 from he7d3r/patch-1
new a3ee284 Fix typos, no shortenings in name, simplify example.
new a394654 COSMIT Minor changes to address review comments
new 3633cb3 ENH vectorize DBSCAN implementation
new 8a240f1 ENH sparse support in DBSCAN
new 11569e3 ENH support weighted samples in DBSCAN
new 684cfb3 FIX DBSCAN.fit_predict now also supports sample_weight
new 39c3417 DOC/COSMIT clean up according to review
new 0e0e545 DOC mention sparse matrix in LSHForest param docstrings
new 56ca8f9 Merge pull request #3994 from jnothman/vec_dbscan
new 3d1ede9 TST add tests for nd grid-search can train_test_split
new 6d7d25f MAINT dev version to follow PEP440
new 79eabdd FIX correct name due to rebase error
new 164381c Spelling in heading newgroups -> newsgroups
new d65d8c4 Merge pull request #4003 from ClashTheBunny/patch-1
new 2690193 FIX: Bug in sparse coordinate solver in lazy centering
new 87b4784 Merge pull request #4010 from MechCoder/sparse_bug
new f79ac7c MAINT: Remove deprecation warnings in enet_path and lasso_path
new 8b4ddc0 Another doc typo fix
new 17dc6ab Merge pull request #4012 from pricingassistant/doc-typo-fix
new 743998e Merge pull request #4011 from MechCoder/fix_deprecation_paths
new 8e3f21d Merge pull request #3982 from amueller/metaestimator_delegation
new 1c28711 Fix a bug occurring when n_samples in a class < n_features Fix case n_sample in a class == 1
new a72da02 warning + log of prod -> sum of log
new 17ea0db warning -> error though we can check if reg_param > 0 and then use spherical covariance, let's keep things simple
new 36932d7 tests
new 94b2e94 ignore warnings, change docstring
new 87edc22 BUG: only symmetrize matrix when it is not already symmetric
new 7794d90 MAINT: create ensure_symmetric utility function to check matrix symmetry
new 4bd1811 Merge pull request #4021 from jakevdp/fix_check_symmetric
new 4735caa DOC add note on scipy.sparse.rand use
new 132ac81 MAINT more informative assertion failure in test_common
new e77aac8 Documentation of max depth parameter
new 963fdce Merge pull request #4026 from akshayah3/master
new a21957e rename ensure_symmetric -> test_symmetric
new 358e163 TST: add test of check_symmetric
new 6444582 DOC: fix docstring of check_symmetric
new 9825d17 MAINT make it possible to use wheelhouse-uploader
new 4ef7213 add more informative doc & error message in utils.check_symmetric
new 46c1c42 remove deprecated ``n_bootstraps`` parameter in Bootstrap cv object, verbose in FactorAnalysis and SelectorMixin. Also adjust some deprecation strings.
new 4e270a5 remove deprecation tests.
new 76a2a96 Merge pull request #4024 from jakevdp/ensure_symmetric
new 2ce01e8 Merge pull request #4013 from amueller/deprecated_0.16
new 67ca4ef Merge pull request #3991 from jnothman/lshforest_improvements
new 4c16329 Add parameters to pipeline methods, add some missing docstrings.
new a168b12 If scoring is provided, it MUST be used. Also, a scorer might not need predict.
new cc8c3f8 tighten tests and adjust for new logic.
new c779eff add some nonregression tests.
new bec7957 add fixes to whatsnew
new 6dce077 remove bad estimator test as it was enforcing too many restrictions, instead test that we don't enforce these restrictions.
new ed26cae make gridsearch_no_predict test stricter.
new f774536 add another bug that I just discovered existed and was fixed in the PR to whatsnew.
new e2d163a address @jnothman's comments
new a548303 fix docstring for pipeline score func.
new 53f3b72 make utils.check_symmetric future-proof
new d5c72f3 Merge pull request #4038 from jakevdp/ensure_symmetric2
new de72e1d Add dependence to max_features to docstring
new 38920a3 add 'MultiLabelBinarizer' to __all__
new 34b1438 Merge pull request #4044 from andreasvc/patch-1
new e98c513 Merge pull request #4030 from amueller/add_pipeline_docstrings
new 2b24cce parameter validation checks & tests for errors
new 3a33776 FIX : avoid unecessary computation sparse dual gap
new 439c195 Merge pull request #4047 from agramfort/faster_sparse_enet_dual_gap
new 5b96533 Sparse inputs for fit_params
new 91c03a4 Added helper function
new 9b8fa52 Merge pull request #4031 from amueller/check_scoring_fixes
new 7044728 Merge pull request #4049 from akshayah3/sparse
new 8d52051 fix for issue #4051; replaced X = np.asarray(X) with check_array(...) method
new 43e8c37 Merge pull request #4054 from tttthomasssss/bugfix-4051-affinity-prop
new 24c0efd PEP8 Fix E112 and E113 errors
new 0ec0110 COSMIT Remove trailing : in comment to facilitate pep8 autoindentation
new 8855598 PEP8 Fix E101, E111 errors and W191, W293, W293 and W391 warnings.
new 3c1d09c DOC DBSCAN doesn't "initialize centers"
new 6e70a96 DOC Birch: spaces
new ac9ab96 Y-org rename & whats_new update
new cda6438 Merge pull request #4061 from ragv/pep8_cleanup
new 9c7566e Merge branch 'master' into rf-class_weight
new d67e9c4 Add newline before bullets
new 69567ec Merge pull request #4042 from lmichelbacher/patch-2
new da8f672 Say best_estimator_ depends on refit=True. Fixes #2976.
new cdae4a4 Merge pull request #4071 from amueller/grid_search_document_best_estimator
new cad87b5 rename vars & copy sample_weight
new b4ea76b FIX: typo in Pipeline error
new 40f44ff MANIT: pep8ize to an extent cluster module
new 033d5e7 MANIT: Revert to py3 print version
new 77238f3 Merge pull request #4078 from pratapvardhan/misc-docs
new 1666274 TST slight cleanup of common tests.
new db89a44 Merge pull request #4075 from banilo/pipe_typo
new 8e5bd8e COSMIT / PEP8 Limit line length to 79
new b3209c1 MAINT Add new function to check if an estimator is fitted
new abd31d2 MAINT Make uniform the error raised for not fitted condition
new 4fe8d93 MAINT Remove the _check_fitted test.
new 129e319 FIX the try except block to recognize NotFittedError
new 0fce60d TST Add tests to assert if NotFittedError is raised appropriately
new 35938f2 FIX support_ parameter should be tested, not the coef_
new 0bca2ff FIX Refactor _is_fitted method into check_is_fitted.
new b8ffa95 FIX Make error message more explicit in fit_inverse_transform
new f914afa Merge pull request #4029 from ragv/maint_raise_uniform_error_notfitted
new fa0ceee ENH add a benchmark on mnist
new b0dba06 ENH Improve script output display
new cd573f8 DOC/MAINT Update whats new entry for NotFittedError
new c436fdd Merge pull request #4086 from ragv/whatsnew
new 87a823c Fix a typo in OneHotEncoder's docstring
new 57544ae Merge pull request #4089 from wujiang/patch-1
new b541191 Merge branch 'master' into rf-class_weight
new 35c2535 rename cw option to subsample & refactor its implementation
new 527ecf5 Merge pull request #3961 from trevorstephens/rf-class_weight
new b7d9c3e FIX: ensure that feature importances are properly scaled
new 6e0b95f ENH better RBF parameters heat map
new f62f749 FIX: Regression in NearestCentroids
new 46f9fc2 BUG: Correct check for local import
new c579244 Merge pull request #3640 from untom/fix_consensus_score
new 871026e does not compute
new 124bb8c Update lightning information.
new 454aee9 Merge pull request #4097 from amueller/remove_unneccessary_initialization
new 5bb3cbf DOC add performance for all available classifiers
new 912d142 Merge pull request #4093 from MechCoder/regresssion_nc
new 841a51d Merge pull request #4095 from jjhelmus/bug_local_import
new d3ed841 make related packages more prominent
new 9922fa9 Merge pull request #3562 from arjoly/bench-mnist
new c6def01 Update seqlearn information.
new c1f3080 Merge pull request #4058 from amueller/cleanup_common_tests
new 2e2eebf Make ParameterSampler sample without replacement if all parameters are given as lists.
new 6e0b382 TYPO in model evaluation docs
new 93ca609 TYPO in coverage_area docstring.
new a6f5fe5 DOC Modified math expressions to theoretical bounds.
new c970fb5 COSMIT spelling
new 08a963c Merge pull request #4105 from amueller/minor_spelling_fixes
new 78233b2 FIX scale - Raise ValueError when input contains non finite values.
new 731b50b TST Add test to check if warning is raised for integer dtype-ed inputs.
new 48e72b5 TST Add test to check if ValueError is raised if input contains NaN
new ab5dd15 OPTIM Lower memory usage of spectral_embedding.
new 407aa33 Merge pull request #4018 from ragv/fix_for_nan_scale
new 67d128a FIX Written in Latex format.
new c150608 FIX Remove unused score_overrides_loss param from check_scoring
new b3fbccc FIX various mismatch between docstring and signature params
new a413f87 DOC minor fixes do docstrings, don't document deprecated parameters.
new 494b8e5 TST add test for sparse matrix handling in clustering
new b5b1c59 DOC Add silhouette analysis plot for KMeans
new f04266a DOC ENH Fill the silhouette with the corresponding cluster color
new ae95a0c DOC ENH Remove the vertical x = 0 line and plot avg silhouette score line
new bf203de Merge pull request #4052 from amueller/clustering_sparse_matrix
new a9ea55f FIX Use slinear interpolation for isotonic regression
new 0c9377e ENH use parallelism for all metrics in pairwise_{kernels,distances}
new da90a0f Merge pull request #4085 from jnothman/pairwise_parallel
new 7962412 Merge pull request #4111 from ragv/slinear_isotonic
new 5a3b9e9 MAINT Remove temporary fix #3995 in view of the change to slinear.
new 7b36bf6 Merge pull request #4113 from ragv/isotonic
new 7070239 DOC: copy-edits and active voice
new e8a8f8f ADD @mblondel's initial implementation of KernelRidge added
new 17b5177 ADD Example comparing kernel ridge and support vector regression
new 0db77c2 TEST Added tests for KernelRidge based on @mblondel's code in lightning
new d3eb311 DOC Added documentation for kernel_ridge module
new 6c62f87 ENH Example comparing KRR and SVR documented and slightly modified
new 946e490 FIX Fixed assigning colors to methods in KRR example
new c38e14a DOC Added narrative doc for kernelized ridge regreesion
new 4b8a1a7 DOC Resolved minor issues in documentation of kernel_ridge
new 12e2ee3 MISC Optimized two numpy statements in kernel_ridge.py
new f1b4284 FIX Add kernel_ridge to list of all submodules
new ddaf190 FIX Input validation in fit() of KernelRidge
new e5888b2 FIX Allow multi-output in KernelRidge
new eaaf84d REFACTOR Backported changes in _solve_cholesky_kernel to ridge.py
new d240877 MISC Using RandomState object instead of setting global seed
new 60e3d04 DOC Revised documentation of kernel ridge regression
new 4d68c53 DOC Polishing doc of kernel_ridge
new 34d0b8d PEP8 Removing PEP8 violations in plot_kernel_ridge_regression.py
new c48c971 MISC Let sample_weight default to None
new f3df83f FIX We must not use overwrite_a=True in _solve_cholesky_kernel as K might be reused
new a67899f TEST Extending tests for kernel_ridge
new ff1ec8d REFACTOR Using lstsq rather than manual pinv in _solve_cholesky_kernel
new 6011193 MINOR Fixed typo in test name (test_kernel_ridge_singular_kernel)
new a2c8d12 TEST Use make_regression instead of make_classification when testing kernel_ridge
new 7223efd DOC Added KernelRidge to whats_new.rst
new 2a2e7c6 FIX KernelRidge checks if fitted before predict
new 5b57784 Remove singular matrix warning.
new cb77255 fix import error in lda.py
new 73f0d2b Remove unused imports.
new 4093790 Merge pull request #4117 from chyikwei/fix_import_err
new 9046a38 DOC Added kernel_ridge to classes.rst
new aa11cc3 Merge pull request #4118 from jmetzen/kernel_ridge_doc
new 6c07cd4 Merge pull request #3850 from amueller/randomized_search_no_replacement
new d9ecf46 DOC what's new on parallelism of pairwise_distances
new 22f718d ENH Added RobustScaler
new 444bf22 DOC ENH Simplify the example code; Add plots for n_clusters = 3 and 5
new 22f8e56 DOC Added what's new entry for silhouette plot example
new bf8cfb6 Check if parameters are fitted
new 45982e0 Merge pull request #4076 from ragv/silhouette_plot
new ac7c88c TST set random state in check_classifiers_train
new edc9bbb remove duplicated test, probably caused by rebase issues.
new bdacaba Kernelized ridge regression -> Kernel ridge regression
new 8e3eea8 Explain why we are somewhat selective, lower citiation rule of thumb
new e20ea81 Fix error in CCA docstring.
new 6ffc685 FIX Support for negative values of n_jobs
new a6723ed ENH: cross-validate over predefined splits
new 9d5c4c6 Merge pull request #4139 from MSusik/negative_njobs
new edb73cc FIX check for integer 1 before checking for floating 1 (isinstance(1, numbers.real) == True)
new 5c5fbf5 COSMIT pep8 cleanups
new 736aeed Merge pull request #3836 from untom/fixedsplit
new 0c5b0f7 add PredefinedSplit to classes.rst and whats_new.rst
new 24c789b Added input validation refactoring from last sprint to whatsnew. Not padding my back, just keep forgetting if that was in 0.15.2 or not.
new f6c7252 DOC staged_* returns generators. Fixes #3831.
new 9ca04c2 Fix for overflow warning
new 21e63aa ENH: optimize DBSCAN (~10% faster on my data)
new 44c8083 Merge pull request #4151 from larsmans/dbscan-faster
new 247ad47 Merge pull request #4153 from hsalamin/remove_exp_warning
new 0a4c12f TST remove tempfiles that we create in svmlight tests and agglomerative clustering tests
new fc51c06 FIX agglomerative clustering w/ connectivity constraints & precomputed distances
new 500f032 Merge pull request #4148 from amueller/clean_up_after_tests
new 17726d2 Merge pull request #4141 from amueller/bootstrap_int_one_fix
new 6acbb8c Handle sample_weight upfront.
new 59648f3 Simplify rescaling.
new ab88c4c Use relative imports.
new 7c3a86b Add what's new entry.
new bdcea50 Add t-SNE to whatsnew
new 291447f fix nb partial_fit w class_prior #3186
new 0fe3f5c Fix issue #4154
new 7f42daa DOC Correct what's new entry of Jaccard Similarity Score
new de92ada Merge pull request #4158 from ragv/whatsnew
new 95f85f2 Merge pull request #4159 from aflaxman/gp_docs
new f81a88c fix rst table layout
new 49da1dc Merge pull request #4160 from trevorstephens/doc-fix-4098
new 3023053 Merge pull request #4155 from trevorstephens/nb-fix-3186
new 4ab4fba G is upper-triangular, so G.T should be lower-triangular.
new 50b83ae Add test for MSE estimate bug.
new ca55e74 Merge pull request #4131 from amueller/faq_no_1000_citations
new fd9b03a sort labels in precision_recall_fscore_support
new 92e1e39 Merge pull request #4147 from amueller/precision_recall_unsorted_indices
new d9e40d2 Merge pull request #4156 from AlexanderFabisch/fix_tsne_one_comp
new e936dfa search C not gamma of linear svm in tutorial
new cee2217 DOC typos and consistency in SVM docstrings
new 25db1ac Merge pull request #4171 from amueller/statistical_learning_gridsearch
new 9ed1df0 FIX/ENH: Fix kneighbors_graph/kneighbors and allow X=None
new c94d0a8 FIX: Handle and test case where n_duplicates > n_neighbors
new 72d20a3 Add docstring and test for kneighbors
new ec245c8 ENH/FIX: Patch radius_neighbors to follow kneighbors convention
new 709b41a TST: Refactor tests for k and radius neighbors
new cefc2f8 ENH: Add include_self param to graph variants for backward compat
new 8cac52d DOC: Add what's new entry
new 04e0f32 MAINT threshold -> threshold_ with deprecation warning.
new bc27546 DOC: Make docs clearer
new 2f889b1 Merge pull request #4046 from MechCoder/allow_X_none
new 6471e0d Merge pull request #4174 from ragv/fixes_4173
new 8db11a8 Make nystroem approximation robust to singular kernel.
new b35b2fd Add predict_log_proba method to GradientBoostingClassifier
new e3f9435 TST Silence some tests.
new 13b6aec non-inheriting estimator added for rfe, cross validation, and pipeline tests
new bfef274 5 of 6 are zeros, not ones.
new 94157fa Merge pull request #4188 from miniyou/patch-1
new c5fadff add compute_sample_weight util
new f75c98b refactor forests & trees class_weight calc
new 4fcf20a TST/FIX in future, average='binary' iff 2 labels in y one of which is pos_label
new f9ec807 MAINT create a new venv in travis for "ubuntu"
new 67dcd99 TST fix tests with numpy 1.6.1
new ad83fc6 DOC fixes supported numpy version
new 7090357 MAINT improve misleading comment
new cedf023 Move import statement
new bd9d16b Simplify the code by using len
new 21369dd TST Removal or modification of stop_words_ should not affect transform.
new 965bf51 use safe in1d, use compute_sample_weight in ridge
new eb52bb3 Merge pull request #4037 from ragv/make_storing_stop_words_optional
new 54d68d2 remove inplace multiplication in ridge
new 748c750 Fix rst formatting
new 3e9beab DOC: fix path
new 92b9081 FIX Ensure at least 1 feature is sampled when max_features is a float
new 92ed5ee FIX ensure that negative float max_features will lead to an error
new b8bc07e Merge commit 'b35b2fdad3a38e29bf5ef3534aeb9468b7f20f4a' from #4181
new cfd68ef Merge pull request #4198 from arjoly/gbrt-fix-percent-max_features
new 38104ff Merge pull request #4193 from lesteve/deactivate-travis-default-venv
new 87c9ba7 Corrected two bugs related to 'tied' covariance_type in mixture.GMM(), added test, closes #4036
new 364fdd6 minor fixes, addressing @agramfort's comments.
new 6d7cb33 Merge pull request #4109 from amueller/gmm_tied_covariance
new af15288 website: add skll to related projects
new 31c5497 Merge pull request #4201 from amueller/related_projects_skll
new b6343b8 PyMC
new 6f5ec47 DOC: fix correct shape of children and distance
new 1d08f08 Merge pull request #4203 from gwulfs/rel_projs
new f2431db add test for None class_weights
new 97e3b96 PEP8 compliance
new 420daac Merge pull request #4190 from trevorstephens/refactor_cw
new a168a6c STYLE cosmetics / unused import
new bc5b403 FIX #4059: explicit warning for strict selectors
new cd63acc Add test that score takes y, fix KMeans, FIX pipeline compatibility of clustering algorithms!
new 0668e70 Merge pull request #4186 from xbhsu/non-inheriting_estimator_tests
new 620301b Merge pull request #4064 from amueller/pipeline_scoring_y_none
new ba2c9a7 Merge pull request #4179 from amueller/nystroem_singular_kernel
new eaf1e8c Explain why we multiply mean by two
new 2ce9eac TST more strict selectors with empty support
new 95681ee Merge pull request #4206 from ogrisel/fix-strict-select-fdr
new a9b3965 Better error messages in MeanShift, slightly more robust to bad binning.
new 4629366 Merge pull request #4176 from amueller/mean_shift_no_centers
new 75365a0 DOC: Fix is->if
new 6f9ce0b FIX precompute_gram->precompute as in #2224
new c4dc60b Merge pull request #4221 from saketkc/fixes
new 16d8675 MAINT enable travis notifications in gitter
new 8bd7b42 MAINT enable appveyor notifications in gitter
new 79144e4 ENH: improve GMM convergence check #4178
new bdecd1f ENH: issue #4178 (cont.)
new 371c2f6 FIX: fix doctest
new 12a6d19 doc: mention GMM stopping criterion change
new 0f6f48a a few changes according to comments by @ogrisel
new a3283c6 FIX tests in gmm broken by previous rebase
new c2d2307 Added feature to fix #1523
new e20d1a4 ENH decision_function now returns #votes and scaled scores.
new dbc5d70 Change loss names for LinearSVC and LinearSVR()
new 6465b8d PEP8 Clean up minor PEP8 issues.
new 5329590 Merge pull request #4229 from ragv/4135
new fca4494 Merge pull request #4222 from saketkc/benchmark_fixes
new 5c0c5c6 MAINT use absolute imports in tests
new 1be7400 Merge pull request #4232 from lesteve/use-absolute-imports-in-tests
new 73e5cf5 Merge pull request #3933 from fabianp/loss_liblinear
new 270d47a Fix gibbs sampling behavior in RBM with integral random_state.
new e3e0827 FIX check (and enforce) that estimators can accept different dtypes.
new 8ef0b9a fixes in GMM, TSNE, MDS, LSHForest, exclude SpectralEmbedding
new 5fb923a FIX Return np.zeros(n_alphas) when the targets are uniform
new 7926262 TST Add enet test for the case of uniform targets
new 3ac2da6 FIX Use resolution instead of min from np.finfo(float)
new 8df2549 TST Check for equality in alphas_ when uniform targets are used.
new 0c33082 DOC minor improvement in Ensemble user guide
new 2a946dd Merge pull request #4226 from ragv/fix_4224
new b34e924 Update plot_rfe_with_cross_validation.py
new 196e321 Merge pull request #4244 from ugurcaliskan/patch-1
new d09894c Merge pull request #4233 from amueller/minor_doc_improvement_ensemble
new 7a4ac25 FIX buggy idiom found by pyflakes
new 9f50699 FIX regularized covariance on 1D data
new 021bf74 Merge pull request #24 from ogrisel/fix-nan-1d-regularized-covariance
new cd931fa Merge pull request #4136 from amueller/test_dtypes_all
new d16e9ee FIX stricter validation for non-empty input data
new d0b9955 Merge pull request #4214 from ogrisel/fix-empty-input-data
new 774eec5 Merge pull request #3891 from ragv/decision_function_ovo_1523
new 5f95154 Merge pull request #4204 from mvdoc/master
new cd5166e make check_array convert object to float.
new 414cda9 FIX TypeError not ValueError in is_fitted
new d90a8ae TST test last commit
new 0373cc0 FIX broken test under 64 bit Python 2 / Windows
new 4f3613f Merge pull request #4251 from ogrisel/fix-shape-format
new 2e414d7 Add example for precision_recall_fscore_support
new 26df432 DOC: specifies the default number of eigenvectors
new f20ff86 Merge pull request #4265 from harrymvr/doc_spectral_clustering
new b649df6 Shrink the doc for precision_recall_fscore_support
new 7b24628 DOC python 3 fix in plot_kmeans_silhouette_analysis.py
new 3d86d1f Merge pull request #4266 from lesteve/python3-fix-plot-kmeans-silhouette-analysis
new 96d4b3e more robust check for dtype object
new 63039b2 Added multithreading support for kneighbors search
new 1250974 Shrink precision_recall_fscore_support's doc again
new 1a88eb0 DOC: Reword docstring and deprecation warning for include_self.
new e07d420 FIX: Fix n_components in AgglomerativeClustering and friends
new ecfc93d ENH Add probability calibration based on isotonic regr. and Platt's sigmoid fit + calibration-curve
new 6bf5d7e ENH Brier-score loss metric for classifiers
new 6ec7a0e TST Tests for the calibration module
new 9cc7018 DOC Examples for the calibration of predicted probabilities and calibration-curves
new c340f1f DOC Narrative doc for the calibration module
new 6b0f75c COSMIT : pep8 + 2 spaces
new 7376309 TST improve coverage of calibration.py
new eee0e67 MAINT mark _sigmoid_calibration private
new 70d49de ENH ensure that a warning is raised when sample_weight is not supported
new c181308 DOC update contributors for the calibration features
new a798d9e TST Adding brier_score_loss to test_common.py
new 5604884 Fixed typo in CONTRIBUTING.md about how to submit changes back to the project
new ad54f02 Merge pull request #4277 from Celeo/contributing-request-typo
new 44d81a0 FIX: add except* in Splitter.init definitions
new f6af488 Merge pull request #4282 from glouppe/tree-fix-4281
new 0c00f1a ENH: better convergence check
new 1b1ec71 DOC: what's new about GMMs
new 1add39f [Feature Selection] Fix SelectFDR thresholding bug (#2771)
new 700babc extensive (excessive?) testing of FDR
new 95f1d95 FIX DOC TST: alpha is an uppper bound on FDR
new f12a441 raise noise in test again, be ascii
new 0036dd0 ENH make defensive copies in GradientBoosting*.staged_decision function.
new 0cf9314 Merge pull request #4165 from amueller/gbrt_staged_defensive_copies
new 3468e00 Merge pull request #4057 from amueller/dtype_object_conversion
new 92da7c0 Merge pull request #4146 from amueller/fdr_treshold_bug_2
new 98f65c5 Edited _get_weights to make it robust to zero distances
new 1cf3e06 special case if dist is object in _get_weights
new ef0bbfb Avoid divison by zero warning in KNeighbors estimators
new 0d20c9f whatsnew entry for KNeighbors zero division in weights.
new 5c893e5 Change the way the covariance is computed to avoid problem with not positively defined covariance matrices
new 739efd6 Added test to check that obtained covariance matrices are positive definite after learning a GMM
new e0536d9 Cosmetic changes in the doc string. Added an indentation level
new 3e069d5 Clarified a comment and factorized the tests for all covariance types
new db2edda Converted test_positive_definite_covars to a generator.
new fa3ecbc Converted docstring of 'test_positive_definite_covars' into a comment to avoid description ptoblems with nose (Related to issue #4250)
new 86392db Put the error state change about underflow errors in a 'with' statement in '_covar_mstep_full'.
new 2c3e564 DOC cosmetics in test docstring
new 10e099e DOC document GMM fix in whats_new.rst
new a59eee8 FIX Add check_symmetric to __all__
new 4c389c6 Merge pull request #4269 from MechCoder/deprecate_n_components
new 06bde13 Update related_projects.rst
new 4a0e281 DOC: make it clear 'thresh' should be removed in v0.18
new 3f5277e Merge pull request #4284 from hbredin/dgpmm_convergence
new c1c8cc1 FIX loss, penalty --> penalty, loss
new 6d23a58 EXAMPLE/FIX l2 --> squared_hinge; L1/L2 --> l1/l2
new 9df01a8 FIX/MAINT Deprecate and support upper case values for loss/penalty
new 50876ec COSMIT Flake8 fixes for svm/base.py
new 354c35c FIX Make LinearSVC/LinearSVR support the deprecated l1/L1, l2/L2
new 6d222fd TST test deprecation warning and support for uppercase
new a926626 Merge pull request #4261 from ragv/svm_scale_c_plot
new 07ce147 Merge pull request #4092 from ogrisel/iris-rbf-params-heatmap-example
new 8418647 Merge pull request #4293 from kyleabeauchamp/patch-1
new 3c3360d FIX Make Spectral Embedding deterministic
new 2a7a213 DOC update whats_new for deterministic spectral_embedding
new feceab6 FIX test for consistent handling on empty input data
new 8f2780f Make BaggingClassifier use if_delegate_has_method in decision_function
new 8cf714c remove special case for BaggingEstimator after merge of #4137
new 97d8341 TST make TheilSenRegressor run faster in common tests, I could swear I did that before...
new 69827c4 TST Test check_consistent_length and TypeError with ensemble arg
new e073432 FIX issue #4268 (bug in BernoulliNB).
new c31710d TST check that Bernoulli NB is consistent with Manning et al. IR book example
new bdbbb02 DOC whats_new.rst for BernoulliNB fix
new 1655a04 TST check that constructor params are not mutated by fit
new a5a800e Fix docstring of mahalanobis distance in empirical covariance. Closes #4168.
new 4ed4257 FIX inconsistent boundary handling
new 5141f18 TST add test for radius_neighbors boundary handling
new 2981837 DOC whats_new.rst for radius_neighbors boundary handling
new 4893ce0 Added missing space to exception message. Simplified (trivially) code and corrected message. Updated tests.
new 1c7f6f4 Merge pull request #4308 from terrycojones/fix-missing-space
new 644e2a4 MAINT change "l2" to "squared_hinge" in svm.bounds
new acb4aa5 Merge pull request #4310 from larsmans/svm-bounds-l2
new b15275c explicitly mentioned include_self
new dcd2bbb explicitly passed by name
new 6b5e63b Added Random Kitchen Sink reference
new e808a3f Update plot_multilabel.py
new af1906f Merge pull request #4315 from ugurcaliskan/patch-2
new 8820701 skip OMPCV on travis by raising SkipTest in set_fast_parameters.
new 9bc4de8 some fixes for sphinx and in examples
new be69297 don't use unicode in latex. That just complicates things too much. Also, who the hell uses unicode whitespace?
new 1800cb7 use PNG images for latex compatibility
new 4486bde Merge pull request #4314 from vortex-ape/RBFSampler
new 29fb207 Merge pull request #4318 from amueller/skip_omp_cv_on_travis
new f1b8283 catch some warnings, be less verbose in testing.
new 63336fc Merge pull request #4320 from amueller/minor_doc_fixes
new 72d4d59 Generate example rst files for inclusion in docstrings.
new b2e34f7 Merge pull request #4323 from amueller/generate_empty_example_rsts
new 9e20fb6 Merge pull request #4313 from vortex-ape/spectral_clustering
new 8ab4649 FIX Flips sign of SVM's dual_coef_ in binary case
new dbe4971 Updates whats new and fixes the documentation
new 6813528 Merge pull request #4192 from jnothman/binary_iff_binary
new ed5519f Merge pull request #4307 from amueller/more_quite_testing
new e0f5049 minor fixes in docs.
new deeaf0a change default to shuffle=True in SGDClassifier and friends.
new 5e8a0f6 Merge pull request #3965 from amueller/sgd_classifier_shuffle
new e01a16d Merge pull request #4325 from amueller/more_minor_doc_fixes
new 663c236 Removes RBF calculation by hand
new 7a97192 Minor fix for a comment
new dd5c2e7 TST ensure return type of radius_neighbors is object
new f7efb1a Merge pull request #4326 from Barmaley-exe/svm-dual-coef-fix
new 114062f Explicit encoding for opened files in gen_rst.py
new f4fe0f8 Support Python 2 and 3
new 20b4eec Remove trailing spaces
new 0e21f93 Merge pull request #4234 from amueller/rbm_random_state_gibbs
new 60151c0 DOC fix broken image link
new d39fe22 DOC add some missing API links in whats_new.rst
new 46470b4 Fix typo of DPGMM doc
new 0dcd7d3 STYLE trailing spaces
new 1ca8fec MAINT fix typo pyagm -> pygamg in SkipTest
new 6ce0b35 Merge pull request #4338 from lesteve/fix-typo-in-pyamg-skip-test-message
new 2b1c31e Adding unit test to cover ties/duplicate x values in Isotonic Regression re: issue #4184
new ab556be Implement "secondary" tie strategy in isotonic.
new c1fa16f ENH no need for tie breaking jitter in calibration
new 23164e7 DOC remove unnecessary backticks in CONTRIBUTING.
new 3d8114e use a pipeline for pre-processing feature selection, as per best practise
new 4cc4a5d ENH improve docstrings and test for radius_neighbors models
new 952c160 TST boundary handling in LSHForest.radius_neighbors
new 9ce8322 Merge pull request #4317 from ogrisel/fix-radius-queries
new 26cd806 Merge pull request #4345 from bendavies/20newsgroups_example
new 651c85a add scipy2013 tutorial links to presentations on website.
new cebe73f Merge pull request #4339 from amueller/scipy2013_lecture_link
new e51b133 Merge pull request #4342 from sotte/fix_contributing_format
new 6ff4e14 Update documentation of predict_proba in tree module
new 49aa9d5 Update docstring predict_proba()
new 8dbe3f8 Merge pull request #4028 from ogrisel/wheelhouse-uploader
new a2087d8 Do not shuffle in DBSCAN (warn if `random_state` is used).
new 15c9c0f FIX/TST boundary cases in dbscan (closes #4073)
new 6c40cd2 DOC deprecate random_state for DBSCAN
new ec84a00 Merge pull request #4302 from amueller/isotonic_regression_duplicate_fixes
new 2415100 Adding fix for issue #4297, isotonic infinite loop
new ff942f9 MAINT use canonical PEP-440 dev version consistently
new b74b004 ENH Scale the sum_of_confidences to (-0.5, 0.5)
new 342e6e4 COSMIT remove trailing whitespaces
new 16075fb Fix rebase conflict
new 555b859 Fix #4351. Rendering of docs in MinMaxScaler.
new 4cc0235 Merge pull request #4352 from amueller/issue-4297-infinite-isotonic_bak
new 09dc09a 0.16.X branching, version 0.16b1
new 5e4809c Move dev branch to 0.17
new c23d4f3 FIX #4358: more tolerant test_scorer_sample_weight for windows
new 9e1377a FIX revert wrong previous fix and make weighted scorer test deterministic
new ab4d07d FIX #4358: make weighted scorer test deterministic
new c7a04f7 Related projects linking to wrong URL
new 88e9f90 Merge pull request #4359 from josephlewis42/master
new 85b9ce5 DOC Fix NMF inconsistency and broken links
new 0d6d374 add appveyor badge to alert us of failures
new 75473a2 Merge pull request #4363 from arimbr/patch-1
new de5235b Merge pull request #4364 from amueller/appveyor_badge
new 09b5388 Merge tag '0.16b1' into releases
new d8a623e Merge branch 'releases' into dfsg
new 07226a3 Merge branch 'dfsg' into debian
new a99f290 Merge remote-tracking branch 'origin/0.16.X' into debian
new ff736b4 updated patches
new dea22c8 mark autoreconf for cython ge 0.20.1
new 93b1ace Merge remote-tracking branch 'origin/0.16.X' into dfsg
new 23ab36d Merge branch 'dfsg' into debian
new f36647b ENH Adding sample-weight support for Gaussian naive Bayes
new 7abb313 TST Tests for sample-weights in Gaussian naive Bayes
new 588b3f7 add whatsnew entry for GaussianNB sample weights
new 08b97b3 Deprecate estimator_params in RFE and RFECV #4292
new 2bc7ffe Add "See also" for selectors and scoring funs
new 9c24e1a make landscape.io much more useful
new 9f312a7 Correct warning messages and move warnings to fit method #4292
new 2dfdf38 Merge pull request #4331 from martin0258/uni-feature-doc-seealso
new 613c3af Merge pull request #4335 from martin0258/dpgmm-lowerbound-bug
new e73c658 Vainly add link to my GH profile in What's New.
new 5f2faac Merge pull request #4378 from dan-blanchard/patch-1
new b741aa3 FIX coding style #4292
new 806cb22 remove some style errors in bench code.
new ae72a68 FIX numpy deprecation warning from unsafe type comparison
new 26964ab MAINT skip unstable (arpack dependent) estimators in check_pipeline_consistency on Win32
new adc51f5 MAINT skip unstable (arpack dependent) estimators in check_pipeline_consistency on Win32
new 2b3a608 MAINT preparing branch for upcoming 0.16b2
new 2b28b27 Merge pull request #4381 from amueller/style_errors_b
new c8d3df4 2 new debian/patches
new 6544a4c MAINT: Remove reimport
new 7fa9b0e Support sparse matrices in KernelRidge.
new 4a57c92 Merge pull request #4383 from saketkc/maint
new 9d4e47f DOC Adds SVR description to the tutorial
new b15941b TST Adds sanity check for SVR's decision_function
new eff77f5 DOC A small change to the SVM's tutorial
new c09bb35 Support sparse matrices in KernelRidge.
new 63830dc DOC: stock_market example: follow change of symbol
new cf3b120 TST Fixes #4386
new f0d86e8 DOC: Updated set_params doc
new bc14636 Fix typo
new dcdb7e7 Merge pull request #4395 from akitty/patch-1
new 4be6214 Merge pull request #4295 from ragv/sigmoid_decision_fn
new 46060fe Pass the appropriate include_self argument to kneighbors_graph everywhere.
new 6303af4 DOC make defaults more explicit in text feature extraction.
new 48117d5 Merge pull request #4392 from sinhrks/setparams
new 5610dba Merge pull request #4390 from Barmaley-exe/tests-fix
new 27d4376 ENH optimize DBSCAN by rewriting in Cython
new 2e99294 FIX & TST at least min_samples to be considered a core sample
new 0779566 Merge pull request #4401 from ogrisel/rebased-pr-4157
new ef9cbcb added docstrings for restrict
new d69f2d6 DOC whats new for DBSCAN optims
new da33ac7 ENH optimize DBSCAN by rewriting in Cython
new c6949cd FIX & TST at least min_samples to be considered a core sample
new c64f841 DOC whats new for DBSCAN optims
new 5f44a8e Raising an error when intercept_scaling is zero
new ed47b5b Directly compute polynomial features.
new b1b43c1 DOC fix broken image link in feature selection
new 13c2e35 DOC fix broken image link in feature selection
new 211f204 fix ompcv on old scipy versions
new a13a585 DOC remove sphinx warnings when generating the doc
new 5d16b68 Use anonymous hyperlink targets
new c5a0465 DOC remove sphinx warnings when generating the doc
new c93c845 Use anonymous hyperlink targets
new 05100fc FIX : allow NaN in input of calibration if estimator handles it
new 6beacc3 remove deprecated stuff from 0.17
new e1af92b remove cross_validation.Bootstrap
new 9896218 Merge pull request #4402 from amueller/ompcv_fix
new defc0a9 Merge pull request #4388 from Barmaley-exe/svr-doc-n-test
new 3b86bb1 fix ompcv on old scipy versions
new cec61b5 DOC Adds SVR description to the tutorial
new 314ff63 TST Adds sanity check for SVR's decision_function
new ac1ec14 DOC A small change to the SVM's tutorial
new 677384b Merge pull request #4407 from agramfort/calibration_nan_fix
new 870c629 FIX : allow NaN in input of calibration if estimator handles it
new c4df19d Merge pull request #4370 from amueller/0.17_deprecated
new 88759ba MAINT remove the deprecated n_iterations param
new 81acb94 Merge pull request #4411 from ragv/maint_remove_n_iterations
new bf5fd93 MAINT Remove the deprecated n_iterations from StratifiedShuffleSplit
new bc5acea Merge pull request #4412 from ragv/maint_remove_n_iterations_2
new a4f8f08 Specified original intercept_scaling value
new 2638fe5 Use immutable default arguments throughtout repo
new ea932af Added docstrings for kernel='precomputed'
new 9c66a20 avoid NaN in CCA
new 82e4415 FIX Minor shape fixes in PLS
new 6bbd7c0 make cross_decomposition pass common tests
new 09e6e12 fix LarsCV and LassoLarsCV fails for numpy 1.8.0
new 7328763 Merge pull request #4416 from vortex-ape/kernel_precomputed
new 1119a4f Added docstrings for kernel='precomputed'
new 119bc20 Merge pull request #4377 from vortex-ape/intercept_scaling
new f295b87 Raising an error when intercept_scaling is zero
new cd4fef9 Merge pull request #4322 from amueller/kneighbors_include_self_fixes
new f52611f Pass the appropriate include_self argument to kneighbors_graph everywhere.
new c6f6cf3 Merge pull request #4368 from xuewei4d/deprecate_estimator_params
new 503cf4c Deprecate estimator_params in RFE and RFECV #4292
new aa60779 Merge pull request #4409 from bryandeng/immutable_defaults
new 3847a8c deal with y lists
new d133b1b DOC fix n_jobs docs in KMeans as in 0a611193b12900dbc11f3dae4448809364161bb2.
new 90736ef DOC fix typo in output shape of fetch_lfw_pairs (and minor additions)
new c02cc3d FIX LDA(solver="lsqr"): make sure the right error is raised on transform.
new 3b32099 DOC fix link description to setuptools in devdocs.
new ea5474b Raising an error when n_clusters <= 0
new cd2ee7e MAINT docstring --> comments to prevent nose from using doc in verbose mode
new f763a34 MAINT use yield for cleaner output in verbose mode
new a454242 sklearn-theano
new fa616f5 fix uri
new 2badad3 Merge pull request #4433 from gwulfs/master
new ad26ae4 Merge pull request #4422 from trevorstephens/y_numeric_for_np180
new f50bfde fix LarsCV and LassoLarsCV fails for numpy 1.8.0
new 04078be FIX make StandardScaler & scale more numerically stable
new cbe8053 DOC whats_new entry for stabler StandardScaler
new 8f67a81 Merge pull request #4432 from ragv/travis_ignore_docstring
new 12b2f16 COSMIT missing newlines in metrics test
new b596dfc FIX test for older versions of numpy
new 574ebfd Merge pull request #4436 from ogrisel/rebased-pr-3747
new 8702801 used special.fdtrc instead of fprob
new dbcbdcd FIX make StandardScaler & scale more numerically stable
new 689388a Merge pull request #4427 from amueller/lda_lsqr_predict
new 9db8220 FIX LDA(solver="lsqr"): make sure the right error is raised on transform.
new 34c85ed [WIP] preliminary implementation of stratified train_test_split
new 803dcc1 fixed issue when train_size < test_size for stratified
new 5bedb73 Link to functions and fix typos in dataset docs
new b4a92e5 Fix class reference in twenty_newsgroups.rst
new 6e8ad67 fix setting description in 20newsgroups
new 0cf41c8 Moved optimize test to a new file
new 6354e45 Merge pull request #4389 from vortex-ape/move_test
new 6cd1cae using StratifiedShuffleSplit instead of StratifiedKFold
new 8ea474c cleaned up input validation, added tests for copy keyword.
new 5035b18 ENH minor fixes / simplifications for PLS input validation, add test for error.
new fc681f2 Merge pull request #4439 from bryandeng/dataset_docs
new 8762c28 Link to functions and fix typos in dataset docs
new 155c81a Fix class reference in twenty_newsgroups.rst
new 63812b7 Friendly error on KNeighbors(n_neighbors<=0 )
new 9c57ee3 Raise ValueError when log_multivariate_normal_density has non positive definite covariance
new cbd7537 Merge pull request #4350 from vortex-ape/build_issue
new 1a4adb8 used special.fdtrc instead of fprob
new 6f335af fix issue 4447 : min_weight_leaf not properly passed to PresortBestSplitter
new 5018a44 add regression test case for issue 4447 - fix another test
new 5ba271b cosmit
new 29a88f4 Related projects linking to wrong URL
new 202c186 Add "See also" for selectors and scoring funs
new 0e365ca FIX numpy deprecation warning from unsafe type comparison
new 87e1652 MAINT: Remove reimport
new ef25b77 DOC: stock_market example: follow change of symbol
new a870b90 ENH Scale the sum_of_confidences to (-0.5, 0.5)
new 642ae59 DOC make defaults more explicit in text feature extraction.
new cad1ac1 DOC: Updated set_params doc
new 5b2aba1 TST Fixes #4386
new c62238a Directly compute polynomial features.
new 5ff34b2 DOC fix n_jobs docs in KMeans as in 0a611193b12900dbc11f3dae4448809364161bb2.
new 8159c65 DOC fix typo in output shape of fetch_lfw_pairs (and minor additions)
new 3df1971 DOC fix link description to setuptools in devdocs.
new f9b6899 sklearn-theano
new 1491843 DOC minor fixes in formatting, don't use deprecated n_components in Agglomerative
new 59efcb5 DOC/MAINT remove deleted cluster.Ward from references.
new 33d132a DOC minor fixes in formatting, don't use deprecated n_components in Agglomerative
new d0db91a add huber to non-uniform sample weight toy test case
new f46cd25 Merge pull request #4448 from pprett/fix-gbrt-min-leaf-weight
new 9300848 DOC/TST docstring --> comment
new 2ff021f fix issue 4447 : min_weight_leaf not properly passed to PresortBestSplitter
new 73c0283 Merge pull request #4451 from ragv/travis_ignore_docstring
new 0dc37f5 Adding sparse support for decision function
new b1ddbf4 Fixes to sparse decision_function, rebase fixes.
new 3187886 Merge pull request #4189 from amueller/sparse_decision_function
new b278440 Adding sparse support for decision function
new e95815a MAINT docstring --> comments to prevent nose from using doc in verbose mode
new fa6af0f Fixes to sparse decision_function, rebase fixes.
new 4aaaaae DOC added highlights to whatsnew
new df9f90c REL Version 0.16.0 (adjust __version__, links in docs)
new 82a7968 DOC / website add 0.16 release to "news".
new 8705e6d DOC added highlights to whatsnew
new e7eb90c DOC / website add 0.16 release to "news".
new 850fe65 DOC More version menu fixes for the website
new 752808e Merge tag '0.16.0' into dfsg
new 2b05390 Merge branch 'dfsg' into debian
new 9080325 DOC fix link to Birch in whatsnew.rst
new 5825084 FIX one more whats_new.rst fix
new 2b3fabc FIX one more whats_new.rst fix
new 0117fb5 DOC fix link to Birch in whatsnew.rst
new 6d93057 updated changelog and github revision
new 5e50259 Fix signature not compatible with previous declaration
new aa49239 MAINT: update mailmap
new 17ee7dd DOC & COSMIT deprecate estimator_params in RFE and RFE_CV in docstring
new c6d420e Modified docs
new c247141 Merge pull request #4462 from xuewei4d/deprecate_estimator_params_docstring
new 22963a0 Added import statement for Lasso example
new e9939c3 adjustments to make it build on wheezy etc
new b1348bb Typo: PCA is not the abbreviation of Probablisitic
new 56546a7 Merge pull request #4423 from vortex-ape/agg_clustering
new 9e7a660 added import np statements
new 65446a8 Merge pull request #4476 from CaMeLCa5e/master
new 3433b71 Merge pull request #4471 from baharev/small-typo
new 53a119a FIX don't raise memory error in ledoit wolf
new e2dfd23 Merge pull request #4428 from amueller/ledoit_wolf_shrinkage_fix
new d89c215 Add tags to classifiers and regressors to identify them as such.
new 188fb11 COSMIT use consistent shape description in docstring.
new b28d3bf Merge pull request #4464 from vortex-ape/logregcv
new b18e7dd Merge pull request #4456 from cgohlke/patch-1
new 6e54079 Merge pull request #4356 from vortex-ape/dict_vectorizer
new f41f2e4 FIX: Ensure dependencies installed Fixes #1495
new 4d7fb16 Removed array2d from developer docs
new 98dfdc6 Make apply method of trees public. Added test for concistency with private method.
new cb687fd Added docstring
new 8bc650b Added example demonstrating tree.apply
new fdb42ea Added indentation to docstring
new c409ef0 Removed cruft
new cfe4e15 Added tests of apply() for valid and invalid inputs. Fixed style.
new fd3c630 Mention oob_score in narrative documentation of RandomForest*
new 88811be Mention oob_score in the narrative docs for Bagging*
new 1c33a6f Merge pull request #4489 from betatim/rf-oob-docs
new 0f0e58d Fix RFE - Add the possibility to use feature_importances rather than coef_ when existing, see #2121
new afd2b53 Merge pull request #4484 from vortex-ape/remove_array2d
new c4b650f Merge pull request #4496 from vmichel/rfe_feature_importances
new acb21bb DOC adding clusterer tag to dev docs.
new aae305c Merge pull request #4418 from amueller/classifier_regressor_tags
new 6c81fbc Merge pull request #4420 from amueller/cca_low_rank
new 03dbec8 fixed reverse sorting issue in label_binarize()
new a94301c added an additional test case in test_label.test_label_binarize_with_class_order()
new 5272512 FIX _make_unique of _isotonic.pyx uses float64 consistent internally
new 6560a8e Merge pull request #4505 from jmetzen/isotonic_make_unique_fix
new edf60c0 BUG: get_param in FeatureUnion disjoint for shallow/deep params
new b810c9d CLN: Added missing __all__
new db665bb Merge pull request #4514 from sinhrks/missing_all
new 485974f DOC try to clarify pairwise_distances docstring for Y.
new f8102e5 DOC fix link in text extraction narrative
new 1b69807 DOC Grammar fix in preprocessing
new 871ffec Merge pull request #4519 from ClimbsRocks/patch-1
new 9206a78 Merge pull request #4516 from amueller/distance_function_docstring
new bfef25a Merge pull request #4506 from mheilman/master
new 3f5fbbd FIX don't raise memory error in ledoit wolf
new d54b856 FIX _make_unique of _isotonic.pyx uses float64 consistent internally
new 28546c8 fixed reverse sorting issue in label_binarize()
new 7097af0 PSL and CCA convergence check and input validation fixes
new 72450ea DOC GradientBoostingX.estimators_ docstring shape.
new 5527084 FIX KMeans with fortran-aligned data.
new d0302d6 TST: add a test for fortran-aligned data be used in KMeans.
new 2b66687 FIX make CalibratedClassifierCV deterministic by default.
new 2305bdc Merge pull request #4537 from amueller/callibrated_classifier_cv_linearsvc_seed
new 89c1dc5 FIX be robust to columns name dtype and also to dataframes that hold dtype=object.
new b1eaac0 DOC typo
new 28a0994 ENH: public apply method for decision trees
new 1aa4249 ENH: raise NotFittedError instead of ValueError
new a19b1fc DOC add warning for partial pip upgrades
new 46aacd3 Merge pull request #4531 from zhaipro/fix
new 86273fd FIX KMeans with fortran-aligned data.
new 6363ca2 TST: add a test for fortran-aligned data be used in KMeans.
new 6ea24c7 Update what's new
new 8d4b9d6 a simple fix to reading empty label sets in the multilabel case
new 7ac6c9b FIX respect astype(array, dtype, copy=True) on old numpy
new 8c31b79 cython compiled from pyx
new 249a96b directly set target to empty list instead of empty string
new e72e38b given that line_parts has been copied to features, parsing should be based on features rather than line_parts
new 10a056f cython the pyx
new 95fb92b TST add missing test for astype backport
new a7cdbfe STYLE PEP8
new 66f977a Merge pull request #4542 from ogrisel/fix-doc-partial-pip-upgrades
new 7c12089 DOC add warning for partial pip upgrades
new 9a6e945 DOC fix fastica source matrix output shape
new 44526cf Merge pull request #4561 from mspacek/patch-1
new 636d794 REL Add whatsnew for 0.16.1
new c0bdb51 FIX make shuffle / resample pass-through indexing utilities
new 28765fc Improve FastICA convergence warning message
new 4387016 MAINT remove debug nslookup call
new 3531c60 Merge pull request #4563 from mspacek/patch-2
new 141a74b use COLON to avoid byte buffer error
new ce5fada Deprecated load_lfw_pairs and load_lfw_people
new 79d9aa2 STYLE PEP8
new e12863f FIX make shuffle / resample pass-through indexing utilities
new cbf9e75 Merge pull request #4560 from ogrisel/shuffle-passthrough
new f0f4c79 STYLE PEP8
new 3001e6d FIX make shuffle / resample pass-through indexing utilities
new 6efb03f Changed import statement and checked for ImportError
new f28b41f add the empty label test case
new eff590a add another test case with empty labelset
new 7461b6c Nest the for loops because they don't need to run if the condition is not true.
new 58dfb3d Merge pull request #4555 from ogrisel/fix-astype-copy-true
new 29dddc7 DOC: better documentation tree.apply
new 28c893d Merge pull request #4488 from glouppe/tree-apply
new 4b70b61 Merge pull request #4570 from thedrow/topic/call-enumerate-on-empty-clusters-only
new a0775c1 Merge pull request #4530 from amueller/gbrt_estimators_docstring
new 5ef503c Update whats_new.rst
new 624c9f4 Merge pull request #4581 from kno10/patch-1
new e6d5098 MAINT do not ctags index non-source artifacts
new f9eb9cf STYLE whitespace around operator in sklearn.utils.fixes
new 01da5c2 ENH implement fit_predict on pipelines
new 16d1322 verifies fit_predict is available on last step of pipeline
new ead38de better docstring one-liner and use of gettattr in test
new 205651f Merge pull request #4584 from sdegryze/fit-predict-for-pipeline
new a5f0159 don't to input validation in each tree for RandomForest.predict
new 50abfc7 Merge pull request #4588 from amueller/random_forest_predict_check
new 011ad8d ENH add a prior strategy for the dummy estimator
new f99830c Update what's new
new 203298e Merge pull request #4541 from amueller/robust_input_dtype_check
new 6d604c9 FIX be robust to columns name dtype and also to dataframes that hold dtype=object.
new a76b5be don't to input validation in each tree for RandomForest.predict
new 539f488 DOC GradientBoostingX.estimators_ docstring shape.
new 67a8b7d DOC / Website update whatsnew with RF speed fix and utils.shuffle pass through fix.
new bb39b49 REL bump version to 0.16.1, change in documentation.rst, add to news
new c9510ed Fixing bug in assert_raise_message #4559
new af0be5f Misc trying to make k_neighbors warning even more explicit (before it didn't say that %d was n_samples)/
new cb219b4 add 0.16.1 bugfixes to whatsnew.
new 50b42c7 Merge tag '0.16.1' into releases
new cc9de2c Merge branch 'releases' into dfsg
new 4875dba Merge branch 'dfsg' into debian
new adb33ff changelog
new 7be35c8 Merge pull request #1 from scikit-learn/master
new af1a74c add py3 xrange to bicluster example
new 02b2712 change to explicitly import function
new 641bd93 Change xrange to range and remove patching import
new 00409d7 DOC use standart X, y notation
new e7b6a7f Merge pull request #4596 from ibayer/doc_train_test_split
new f3f0fa3 Merge pull request #4590 from jfraj/fix_bug4559
new ea8f19b Merge pull request #4595 from sseg/bicluster-example
new 0fe613e Add conventions section to userguide
new 5ad1dfe Fix Float Resolution Bug on Gaussian Process Test
new 4161d55 Improving Bunch Class to ensure consistent attributes
new 3cf765f ENH faster LSHForest: use take rather than fancy indexing
new 1f74f1b Merge pull request #4600 from jfraj/bug_20newsgroup
new 0949a2e remove order checks for sparse matrices
new 75a0d2c Merge pull request #4606 from ibayer/remove_order_check
new e4b9ff6 Adding test to ensure bunch consistency after pickle
new 6d5328b Merge pull request #4608 from jfraj/test_pickle_bunch
new ced25e9 Change urlopen and iteritems functions for Python3 compat
new 8de3af5 Merge pull request #4604 from jnothman/faster_lshforest
new 932726f Merge pull request #4467 from giantoak/param_invariance
new 4e6346e FIX raise error properly when n_features differ in fit and apply
new 4ffbf34 Factorize input validation
new 4b8b200 ENH Factor out validation of X for apply/predict in forest
new 294a621 FIX properly raised not fitted error
new 32290ad FIX use the new notfittederror in feature_importances_
new 92bda97 DOC use same error message in decision tree and random forest
new 7bbf10a ENH optimize rfecv by eliminating the for loop
new c165327 Add regression test for the number of subsets of features
new acc1ac2 Merge pull request #4534 from xuewei4d/optimize_rfecv
new 8d66906 ensemble classifier 1st commit
new 2910198 votingclassifier
new 24f88b8 added _check_proba method
new 00abe26 property trick to raise AttributeError if voting is "hard"
new 3f0fb6b DOC fix libsvm docstring consistency
new 0078b45 Merge pull request #4610 from sseg/ex-wikipedia-py3
new 9e710ed WIP: adding 'max' normalizer to normalize()
new c5358ca ENH add ranking_loss multilabel ranking metric
new 52244dc incorporated amueller's feedback
new c97ad1d Merge pull request #4592 from clorenz7/bugfix/gauss_proc_eps_issue
new 6c5caa3 Merge pull request #4434 from xuewei4d/catch_LinAlgError_gmm
new 06b78a0 Added/improved GraphLasso tests, per #4134
new 20b188c Minor docstring fixes to svm/classes.py
new c601005 Improve documentation on Diabetes dataset
new f8e7bd2 Typo fix in diabetes documentation :Aex: -> :Sex:
new 29eb6bf Update confusion_matrix docstring
new 60a960c Merge pull request #4613 from bnaul/graph_lasso_tests
new c4bbb58 Update confusion_matrix docstring
new f6b52d2 Merge pull request #4636 from scls19fr/scls19fr-Update_confusion_matrix_docstring
new fafbddb Improve wording of SVM `crammer_singer` doc following PR feedback.
new 027eb6d ForestClassifier.predict docstring correction
new 95f9be5 Merge pull request #4371 from saketkc/fix_setup
new e7bf670 Clarify documentation on feature scaling for diabetes data
new 211c916 Merge pull request #4631 from Aerlinger/documentation_improvements
new 669a4ea ENH add high-level estimator-validation function
new 2d4c8d7 check output, not error on sparse data handling
new 196a7b7 fix warning message by not using assert_raise_message, which adds escaping.
new 8ecfa3c add comments to tests
new 14c54c4 FIX make backport of assert_raises_regex raise the same error as the python3 version.
new 79ea587 FIX make rfe feature importance test deterministic.
new ec2a89a Merge pull request #4640 from dougalsutherland/patch-1
new c78f262 FIX raise ValueError if sample weight are passed but unsupported by the base estimator
new 1197eb4 Tweak appveyor badge
new d3e9a7d Merge pull request #4647 from lesteve/better-appveyor-badge
new b92ed8f Merge pull request #4550 from amueller/common_test_refactoring
new af1b652 FIX DBSCAN fit with precomputed matrix in edge cases
new 951b8ff FIX TSNE.fit: didn't return self
new 9dc8118 Merge pull request #4526 from vortex-ape/if_matplotlib
new 36c7ddb FIX pass percentiles to partial_dependence in plotting.
new fc87eb3 Add a fit_predict method for the GMM classes
new e1fd955 Merge pull request #4593 from clorenz7/gmm_fit_predict
new 3b23d25 Added a verbose flag to the GMM class.
new dc34af7 Fixed typos.
new 1a1a69c Fixed doctests.
new 1b9f4b9 Fixed pep8 warnings.
new eb05c53 Added tests for the verbose flag of GMM.
new 0bb91dc Fixed pep8 and removed unused variable.
new 0ae3110 Adapted the verbose flag of DPGMM. Boolean flag is deprecated now.
new 8f34306 Added tests for the adapted verbose flag of DPGMM.
new afeb7ee remove useless |samples| variable out of ParameterSampler.__iter__()
new 0a4b85b replace itertools.repeat with six.moves.range
new 899cc87 Merge pull request #4659 from MAnyKey/sampler-samples
new 37a9ce1 DOC: add a testimonial by infonea
new 542e9b9 Merge pull request #4662 from GaelVaroquaux/infonea_testimonial
new f10d2f4 Merge pull request #4528 from amueller/rfe_feature_importance_test
new 0007660 inline check_proba
new 017f289 Initial commit of plot_ensemble_oob.py
new 43a4636 Removed the deprecation and added a test for a boolean flag value.
new d2382e1 Cleaned the code. pep8, pyflakes and added comments.
new 4618cb3 Merge pull request #4653 from ssaeger/issue_4633
new 259e983 fix minor documentation link issues. looks more complicated than it is as I replaced tabs with spaces
new ffb81e4 Merge pull request #4650 from lesteve/fix-4641
new 3594925 Store tree node info for all nodes, instead of just leaves
new e998777 FIX remove deprecation warning
new c440190 Merge pull request #4642 from arjoly/error-bagging-sw
new 5b2ee7a Minor amendments to plot_ensemble_oob.py.
new b6ce322 Amended plot_ensemble_oob.py according to #4665.
new 6d89b14 Fix string literal concatenation whitespace
new 88e0c69 Merge pull request #4676 from zacstewart/master
new cdfaabf FIX work-around for read only dataframes
new 190fe73 FIX Include PyFuncDistance attributes while pickling.
new d3fba99 TST Add test to make sure BallTree remains picklable even with callable metric
new a685fe5 TST make sure DistMetric is picklable with both predefined as well as custom metric
new 2f563df Added warm_start to bagging
new b03af57 Fix random_state to make test reproducible
new 4408a18 Test for unchanged n_estimator and indentation fix
new 51a51ef Test oob_score for warm_start'ed bagging classifiers
new d83a362 Removed overly deep indentation
new fb9e725 oob_score will only be calculated if warm_start=False
new 919684c Keep estimators_samples_ and estimators_features_ across warmstarts
new 8add36b Better assert_raises use, API compliance, better ordering
new 3118585 Update what's new
new a50afc0 Merge pull request #4678 from amueller/pandas_safe_indexing_fix
new b17b3aa [Pipeline] add named_steps attribute documentation #4482
new fb95606 add gplearn to related projects
new 91614a7 Merge pull request #4681 from trevorstephens/gplearn-link
new e038cb3 Made more amendments according to PR feedback.
new e61520f Merge pull request #4654 from amueller/fix_partial_dependency_percentiles
new 6f26cf0 Typos in comments corrected
new dd9641f FIX #4597: LassoLarsCV on with readonly folds
new 2bf07b2 Merge pull request #4683 from yanlend/patch-1
new 6bd0844 ENH make pipeline.named_steps a property, fix pipeline.named_steps doctest
new 9eb1964 Merge pull request #4161 from rasbt/ensemble-classifier
new 6ac6ea3 COSMIT: VotingClassifier
new ef94a2a Merge pull request #4665 from kianho/plot-ensemble-oob-trace
new 2656f7b Refined the docstring for plot_ensemble_oob.py. - Minor change to #4665: cleaned up the writing style of the documentation.
new fa5bd2c Merge pull request #4692 from kianho/plot-ensemble-oob-trace
new 1b1e10c ENH multioutput regression metrics
new e6b7d2c DOC whatsnew for unaveraged multi-output regression metrics.
new 007ae76 TST: covering norm='max' branches of normalize()
new 84ee88d DOC: updating Normalizer docstring for norm='max'
new 5fcad7c Fixing sparse max for older scipy
new 8fff05c Merge pull request #4438 from mbatchkarov/stratified_train_test_split
new f65d7a7 DOC add whats_new for stratified train_test_split
new 64e730e add OnlineLDA model and test
new efd5e3b don't use sparse.block_diag since it is new in scipy 0.11.0
new 2718499 Pretty decision trees
new efd5afd fix typos and imporve documentation
new b7b270a fix typo & improve doc 2
new 794c685 testing code improvement
new a0ba403 move input validation and variable assignment to fit method
new e6e0dd7 fix _approx_bound with subsampling
new 68fde20 Merge pull request #3735 from trevorstephens/pretty-decision-trees
new d6a4bc0 update export_graphviz docs
new 360456b native dense input support
new 36df860 Merge pull request #4695 from perimosocordiae/patch-1
new 64f7e54 Merge pull request #4698 from trevorstephens/doc-export_graphviz
new 0aea95c DOC add random_state to parameter docstring in gradient boosting
new 64e5533 DOC document missing attributes
new 2e87da8 ENH don't use mutable defaults in RidgeCV.
new e8356d3 FIX add missing numpy imports to VotingClassifier examples, pep8 fixes.
new da9a91d COSMIT remove unnecessary float casting from tomography example
new 8f3ef2a Merge pull request #4713 from amueller/ridge_cv_nonmutable_alphas
new f11f5c8 TST don't check that warning was raised as whether a copy needs to be made or not depends on the pandas version. Version 0.12 and 0.13 apparently don't use cython here, and >0.17 will have a fix.
new ec1bba7 FIX / TST raise error when init shape doesn't match n_clusters in KMeans, check for sensible errors.
new 69e344f DOC fix sample_without_replacement docstring. Closes #4699.
new e42a0fb Ensure dict_learning_online always has at least one batch
new 175f50e Check fit() returns self for all estimators
new 1678bd5 Merge pull request #4694 from betatim/check-fit-returns-self
new 28cd9c8 Merge pull request #4702 from betatim/online-learning-batch-size
new 4d72563 Doc sphinx fix Return->Returns in label_ranking_loss
new df59b31 Fix mistake in TruncatedSVD expalation in docs
new ef91999 Merge pull request #4727 from Spikhalskiy/truncated-svd-doc-T
new c41e640 rename variable and minor pep8 fix
new 50c0a8d Fix documentation errors.
new f7ca553 Remove warn_if_not_float
new e595792 Remove 'copy' parameter form RobustScaler functions
new 4ff47d9 Fix documentation in test case
new 5a2eb01 FIX make random_choice_csc and therefor DummyClassifier deterministic.
new 29e8377 Export robust_scale and RobustScaler
new 6aefa53 Improved documentation of robust scaler
new 9ffd954 Fixed decprecation warning
new e5fb9dd Changed outdated test
new c296e49 Fixed removal of copy-parameter
new dd2fdbb Removed superfluous testcase for robust scaler
new d747541 Merge pull request #4733 from amueller/fix_csc_random_sampling
new b9d8fd5 ENH support for sparse coef_ in ovr classifier
new 2a830f6 clean up test and add error check in preplexity method
new 3ddeb0e remove duplicate code in _approx_bound method
new 6b16e9d move check_non_negative to utils/validation.py
new 4c6ad90 Remove interquartile_scale parameter
new d86a629 Added robust scaling example
new 7dbe3a8 Fix robust_scaling test
new 2de9f37 Fixed documentation oversight.
new 283d50b robust_scaling example
new 3618a02 fix params and import test coverage
new b2eeb33 update example and change total_samples in fit method
new af59fe5 typo: 'precomputed' should be in quotes
new ed104bd Merge pull request #4734 from ajschumacher/patch-6
new 90d5ef1 TST test that all default arguments are not mutable
new c4df418 TST: Regression test for nan parameters cloning
new 1bf81b1 ENH: Avoid equality comparison for nans.
new 8b386d8 DOC some fixes for the EnsembleClassifier
new a64b060 DOC typo in TruncatedSVD narrative
new 25e24a7 Merge pull request #4725 from jseabold/avoid-nan-equals-comp
new 89c1018 ENH improve check_array
new 1abb41a DOC add comment for np.nan equality test in clone
new c51f067 ENH change func_grad_hess into grad_hess
new 9385c45 Merge pull request #4645 from TomDLT/astype_fix
new c5b395f FIX / TST make cross_val_predict work on lists, test pass-through and compatibility with various input types.
new da021ab FIX ransac output shape, add test for regressor output shapes
new 8380b71 don't warn about multi-output deprecation if not using multi-output
new f4366d5 FIX Gram OMP check_finite on old scipy
new db56cf7 Merge pull request #4705 from amueller/cross_val_predict_input_types
new b88431b Merge pull request #4697 from amueller/remove_warning_test_pandas_slicing
new 797e0dc Merge pull request #4730 from amueller/ovr_classifier_sparse_coef
new 92de5c4 MAINT use the new container-based travis workers
new 04b103f Merge pull request #4743 from ogrisel/fix-check-finite-gram-omp
new fe38e25 ENH check that unfitted estimators raise ValueError
new 6873c9f Merge pull request #4684 from ogrisel/readonly-lars-path
new 4121c30 Merge pull request #4749 from ogrisel/travis-no-sudo
new 990a6b4 FIX n_jobs slicing bug in dict learning, add input validation to gen_even_slices
new 20c622f Improved example
new ea2e8a8 Merge pull request #4741 from amueller/multioutput_warning
new 5029db7 Merge pull request #4679 from TomDLT/newton_cg
new 1174e58 DOC update whats_new
new 6a3365d ENH use astype to avoid unnecessary copy
new 0ac46aa Merge pull request #4753 from TomDLT/newton_cg
new 922d71a FIX check parameter in LogisticRegression
new 7e05d96 Merge pull request #4748 from TomDLT/check_maxiter
new d53634f Merge pull request #4754 from TomDLT/astype_fix
new c12ae60 Fix documentation errors
new c1b2937 FIX fix test_lars_path_readonly_data failure under Windows
new 5cc234a Merge pull request #4716 from TomDLT/notfitted
new cac627a More documentation fixes
new 815270b Remove redundant code
new 1c5f35c FIX ResourceWarning in twenty newsgroups loader
new 3af811e Merge pull request #4362 from rvraghav93/make_PyFuncDistance_picklable
new e822fa7 STYLE removed unused import, fixed comment indent and spacing
new 0ee4d97 Merge pull request #4751 from amueller/dict_learning_n_jobs_bug
new 543d749 Added the regularization term in the method _fit_transform
new da73f5c Merge pull request #4739 from amueller/regressor_output_shape_test
new bb592f3 DOC fix comment in tf-idf: log+1, not log(1+x)
new 0e5226b unused params in gridsearchcv
new bf33390 Merge pull request #4762 from trevorstephens/gridsearch_unused_params
new 1defef0 printing top terms even if LSI is used
new 543e5a2 sidebar hide on css
new ee45724 delete js of sidebar
new a8e68ba A responsive behavior
new e25da0e Recover similar to old style
new 46a5031 add LDA user guide
new 6826e13 add LDA to classes.rst
new ca07b2a Merge pull request #4765 from alexeygrigorev/master
new 61efaea Add enet_tol parameter to GraphLasso class/methods
new 15d6f98 Merge pull request #4686 from bnaul/graph_lasso_tests
new 0b07536 Merge pull request #4125 from untom/RobustScaler
new 355dc7c ENH improve parameter check in LogisticRegression
new f3b1208 FIX typo in RobustScaler example
new 549ecae DOC various fixes in whats_new.rst
new 4eda9e6 Merge pull request #4770 from TomDLT/logistic
new fc9d7be FIX use random_state in LogisticRegression
new 0b330be DOC fix contributor name
new 7041ed2 Implemented parallelised version of mean_shift and test function.
new 4c39bdb Merge pull request #4761 from tiagofrepereira2012/fix_lle
new 71deb4a DOC added some bug fixes to whats_new.rst
new 7ae688d Merge pull request #4778 from untom/fixname
new 2d559ba Merge pull request #4777 from TomDLT/liblinear_randomstate
new 21dbe72 randomforest decrease allocated memory
new cc84db3 refactoring to simplify
new 61dbf54 toggle shift to left larger vertical space
new 4c4b1f7 Change par system to joblib and n_jobs convention
new 6eee7a5 FIX pass random_state to inner call to randomized_svd
new 1095e7e toggle contraction character
new 44f17b0 Merge pull request #4663 from Titan-C/sidebar
new a8626b3 TST/COSMIT remove nose call boilerplate
new 57bf371 random initialize in e-step
new a8f33d3 Minor appearance changes
new bcd7e9b refactoring to DRY.
new de4577b Trivial function name bug fixed
new f369d3a Fix RFE / RFECV estimator tags
new 0d3fa51 DOC Add coveralls badge to Readme
new bdef419 Merge pull request #4792 from amueller/coveralls-badge
new ffe74ab change LDA example to script
new 11aad7f change doc, fix n_jobs, and remove fit_transform
new 32b7075 Merge pull request #4680 from amueller/pipeline_named_steps_fix
new 2c79a98 Merge pull request #4431 from vortex-ape/deprecate_func
new eedc1cd Use more natural class_weight="auto" heuristic
new 123a8c9 FIX add class_weight="balanced_subsample" to the forests to keep backward compatibility to 0.16
new 2ddb503 Cosmit readability improvements and better whatsnew.
new 75e895e Updated _std docstring in StandardScaler to make internal handling of zero values explicit.
new 27264e1 Merge pull request #4785 from amueller/no_noise_boilerplate
new 4ca3878 float division
new 85986cd Merge pull request #4786 from amueller/estimator_tags_bug
new 01aff46 Merge pull request #4347 from amueller/class_weight_auto
new 4515cec change valiable name to meaningful.
new 02fedc6 autopep8 E501
new 05ad745 STYLE cosmetic fixes in sklearn.mixture.gmm
new 0650d55 DOC adding backlinks to docstrings
new 4f12323 Typo.
new ec2fd72 Merge pull request #4723 from amueller/backlinks
new 1a0711e Add API paper.
new 29f9dc6 Reference ECML PKDD workshop paper.
new 5512851 Merge pull request #4810 from mblondel/cite_api_paper
new 867da31 DOC minor sphinx fixes
new 3be9b97 Fix deprecation of decision function in SGD
new 5632cfc Merge pull request #4818 from amueller/sgd_decision_function_deprecation
new 6d4bcda ENH refactor OVO decision function, use it in SVC for sklearn-like decision_function shape
new 0a5d924 TST set missing random state in test
new f0f174b ENH minor fixes to the tests, don't raise as many warnings in the test suite
new 41788c3 Changed SVM to use gamma='auto' by default. Deprecated gamma=0.0.
new 92f9c9e fix RidgeCV when cv != None
new ee78879 add class_weight to PA cls, remove from PA reg
new 3f2f225 Merge pull request #4819 from sornars/svcgamma
new 567a956 Merge branch 'pr/4714' + pep8 fixes
new 1274e48 TST fix failing doctest
new 62325cb MAINT merge _check_cv into check_cv as indices argument is removed in 0.17
new d1d95e8 Merge pull request #4829 from rvraghav93/remove_deprecated_check_cv
new 019fc9b ENH labels parameter in P/R/F may extend or reduce label set
new 78e45fb fixed typos and update formatting in doc/developers/index
new 9b4204e additional typos, formatting, and links for doc/developers/index and /utilities
new 97ba607 Fixed factual error in descriptino of PR flow
new 99ed481 Merge pull request #4832 from kronosapiens/update-docs
new 8453daa Use expit function to compute the probability in ExponentialLoss class.
new 1676a31 add polynomial features to user guide
new 0233cce add connection to kernel method
new 4c4bca1 fix SVM can be tricked into running proba() #4791
new 2f69574 add sample_weight to RidgeClassifier
new a7de146 Merge pull request #4833 from tw991/feature
new bdd3cb7 Merge pull request #4763 from sonnyhu/RidgeCV_slice_sampleweight
new 8b44fa1 Merge pull request #4824 from amueller/testing_less_warnings
new 41e10c4 Better docstring for PCA, closes #3322.
new 32b2f8e Merge pull request #4838 from trevorstephens/ridge_sw
new fcf9cb4 Merge pull request #4835 from tw991/feature2
new 98ca513 Merge pull request #4796 from joshloyal/standard-scaler-std-doc
new 088cbd6 DOC fix rendering of code-block
new 167324f ENH Add option in cosine_similarity for sparse output
new 64d3f45 Merge pull request #4847 from TomDLT/doc_dev
new 82d50e9 DOC make contributor's guide more prominent on front page
new 9a4b75a ENH Document how to get valid parameters in set_params
new ab734b7 ENH add MaxAbsScaler
new 891b841 DOC remove linewidth in pca/ica example
new 59aeb54 Fix typo in model evaluation documentation
new 4c17f1c Merge pull request #4854 from opahk/master
new 95c9e14 PEP8 for recent merge
new 87aaabc DOC backticks in attribute docstrings unnecessaru since #3489
new dc8578a Merge pull request #4828 from untom/maxabs_scaler
new 606531d DOC minor tweaks to docs homepage
new 99d08b5 DOC organise documentation hierarchy / table of contents
new 3193993 fixes #4846
new 2928c50 DOC document missing attributes
new 1d28349 Merge pull request #4857 from christophebourguignat/master
new 1609cfa remove css for container-index that compensates old js behavior
new fbd63e6 css for container-index that compensates position of main content on index.rst and documentation.rst in small screens
new 3396087 Update plot_ols.py
new 2bbec7b Merge pull request #4853 from amueller/fix_ica_pca_example
new 38227e1 Merge pull request #4861 from ltiao/patch-1
new 34fe4fd Merge pull request #4859 from Titan-C/sidebar
new 11d08e0 DOC links should not always point to dev
new 3aeaf0d Merge pull request #4849 from jnothman/contrib-link
new 078a22d silhouette_score docstring update
new b5a18b1 Merge pull request #4868 from rasbt/silhouette
new c655bb9 changed clf to regr in decision tree regression examples
new f5b738c Merge pull request #4870 from rasbt/decisiontreeregressor
new e8c2763 Merge pull request #4862 from jnothman/fixlink
new ff64c3a MAINT remove referrence to HMM in common tests
new 733629d Merge pull request #4872 from ogrisel/remove-hmm-ref-in-tests
new 3d097ae pep8 style
new 71c004b REF Correct the reference link for additive chi squared sampler.
new 9d9e99a Merge pull request #4860 from rvraghav93/additive_chi2_sampler_reflink
new c49aa03 Merge pull request #4851 from trevorstephens/ridge_no_copy
new 2f1a26e merge NMF and LDA example
new 1886f2b [MRG] [BUG] Pass penaly to the final logistic regression fit
new cd98ffc Merge pull request #4891 from MechCoder/lrcv_bug
new 44b3ec8 Epsilon added to x and y weights in nipals inner loop for numeric stability on windows
new 74ae2f0 Changed addition of epsilon for cases where y_weights is near 0
new 9f06156 add a new int array to store indices
new 9f60b18 Merge pull request #4562 from hsuantien/emptylabelset
new 1c07dec Merge pull request #4894 from tw991/rf
new febefb0 FIX avoid memory cost when sampling from large parameter grids
new 7488fc0 Merge pull request #4840 from jnothman/dynamicgrid
new fdfb808 improve LDA doc
new 1e74e7d fix typo and improve doc
new 2d3600f use n_features_
new 36bb611 remove self.n_features_
new a1c3561 remove main in test
new 567aa61 make dimension mismatch err msg more explicit
new 093088a change all rng to random_state
new c66a839 Merge pull request #4893 from jmschrei/cca_stability
new 9612521 FIX raises memory error in depth first builder
new 4d1c1d5 Updated joblib to 0.9.0b2
new 7330b1c Merge pull request #4905 from lesteve/update-joblib-0.9.0b2
new e5dc0e8 Merge pull request #4900 from arjoly/fix-raise-memerror
new 49ffd7f MAINT make sure we do not download large datasets on appveyor
new 6a4aa3a Merge pull request #4836 from amueller/pca_docstring
new 26fbfe6 ENH add minmax_scale
new 0e976e1 Change name of variable to be consistent with dataset
new 0e5db84 Add missing scalers to classes.rst
new 19a1528 Merge pull request #4918 from ejcaropr/doc-fix
new ac40d4f MAINT PLS Remove deprecated coefs attribute
new e7e22d1 DOC Improve wording in minmax_scale documentation
new d517846 FIX #4902: SV*.predict_proba visible before fit
new 4ab89c5 upd randomforest docstring
new 11833f1 Merge pull request #4932 from rasbt/randomforest
new 1cd4e7f [docs] [trivial] Fix small error in cross-validation docs.
new 9df1128 Merge pull request #4928 from rvraghav93/pls_deprecated
new ed73bbf Merge pull request #4927 from jnothman/hiding_predict_proba
new a5feec2 Merge pull request #4934 from thvasilo/patch-1
new 5b7768b fix feature_names
new 12859d9 improve document in _online_lda.pyx
new 4491d10 add a example for FeatureHasher
new bf86954 add an example for FeatureHasher
new 0c48570 use logsumexp
new 243983d try to mollify travis
new d9e4631 Updated graph ranges
new dce50be changelog for upload to unstable
new 7bc059f added patch changeset_5e502596460014ed3adebe61e8189a60e72d3623.diff to "cherry-pick" 5e502596460014ed3adebe61e8189a60e72d3623 (Fix signature not compatible with previous declaration)
new 0174be6 added patch changeset_190fe7347cfd6fab67f37c7535c4fa9b8f0870de.diff to "cherry-pick" 190fe7347cfd6fab67f37c7535c4fa9b8f0870de (FIX Include PyFuncDistance attributes while pickling.)
new 28c9545 changelog for previous 2 patches
new a4b52f2 debian/control - boosted policy to 3.9.6 - properly dropped python-support
new 25082e5 deb_skip_some_tests_on_arm fixed it up (missing nose imports). Thanks Logan Rosen! (Closes: #773862)
new 88e6617 LOOK INTO TODOS
new a1d6bb1 DOC Fix doc for NMF `init` default
new ad5e229 Merge pull request #4952 from stephen-hoover/fix_nmf_init_doc
new 337fa5c compare residual_threshold directly with 0.0
new 8bc2fa3 Merge pull request #4947 from zyrikby/patch-1
new 5aa5a96 Correctly match penalty and loss with arguments
new 0e15b03 Add a space to an error message
new 8b6a4e3 Merge pull request #4953 from mrphilroth/issue4940
new a1391c2 if there are no inliers, raise ValueError mentioning possible cause being residual_threshold too low along with the residual_threshold, and a test that the ValueError occurs
new d92d35f Merge pull request #4783 from tokoroten/decrease_randomforest_memory
new 3c8c492 fixed newlines, comments
new 0241370 Fixed test to check for capital No
new cfd4e62 Closes #4614
new 9346479 note about variance reduction
new 8d4c9c3 Don't allow negative values for inverse transform, and raise error similar to transform for new labels
new e28b6bd Added random seed for facial recognition example and updated the docstring
new b26e879 allowing for different cluster stds
new 06f16e2 Added test
new 4f2a93d adding multiple cluster_std to make_blob test
new e03d42b Merge pull request #4962 from vinc456/unexpected-facial-recognition
new 3a82309 extend R^2 description
new e095c4b changed format string in no inliers exception to be 2.6 compatible
new 2781828 initial changes for python3 pkgs
new 82ea224 Add multilabel support for dump_svmlight_file.
new 2d4cd28 Merge pull request #4958 from rasbt/treeregressor
new 193b3c8 Merge pull request #4966 from lazywei/multilabel-dump-svmlight
new 44c3e64 Merge pull request #4937 from pianomania/FeatureHasher_add_example
new 1f3ebb0 DOC FeatureHasher takes (finite) numbers as values
new d389142 Merge pull request #4956 from nealchau/ransacresid
new 0156dcf BUG Use epsilon threshold in `_samme_proba` and `_boost_real`
new ef5312c Added list of multi-label supporting classifiers.
new 8638862 Merge pull request #4915 from untom/minmax_scale
new a761858 adding assert statement to check the std
new 171f933 Merge pull request #4971 from dotsdl/issue-4724
new ec78cc1 whitespace
new 0af6bae add whatsnew entry for fix of penalty passing in LogisticRegressionCV
new 8932587 FIX dump_svmlight_file multilabel arg: should be last
new bc5155f Fixed small typos in SVM examples.
new 39dbe73 Fix #4978: Typo in CONTRIBUTING.md
new ee96253 Merge pull request #4979 from donnemartin/master
new 7df3c23 Merge pull request #4977 from edsonduarte1990/master
new bda486d Generated C file
new 26b3f86 MAINT ignore Python import state in ctags
new 605cc79 MAINT make it possible to use plain HTTP to download pre-built numpy & scipy from rackspace container
new 792e5295 add fetch_rcv1
new 2b87a20 Merge pull request #4983 from ogrisel/appveyor-http-rackspace
new f8b3473 Merge pull request #4908 from TomDLT/rcv1
new 81de81a ENH implement LYRL2004 train/test split of rcv1
new abb31d0 Merge pull request #4984 from TomDLT/rcv1-subset
new eca4201 DOC updated whatsnew for joblib 0.9.0b2
new 4243412 fixes bug in oob_score when X is sparse.csc matrix [refs #4744]
new acb67bd Bug fix for unnormalized laplacian
new 2f81103 Merge pull request #4972 from ogrisel/doc-whatsnew-joblib-0.9.0b2
new 8de86ed fixed newline errors in documentation for SVC
new bd43b8e fixed newline errors in documentation for NuSVC
new c1c4548 fixed newline errors in documentation for LinearSVC and LinearSVR
new df0dadb Merge pull request #5001 from hlin117/svm-documentation
new 03b09a4 Merge pull request #4954 from ankurankan/fix/4744
new 0e87eb8 remove links to old docs
new 9593631 Merge pull request #4933 from banilo/regr_score_docs
new 043dc9f - test for unnormalized Laplacian computation
new 8b6844a Merge branch 'master' of https://github.com/scikit-learn/scikit-learn
new 176f4cf Documentation added to criterion, dense splitters.
new cb226d5 Reorder target_names in rcv1
new c151f6e Merge pull request #5011 from TomDLT/rcv1_order
new 840bcf3 Merge pull request #4961 from mrphilroth/issue4959
new a989fb6 correct comments
new 52ed08c Update joblib to 0.9.0b3
new b86af8e DOC fix README.rst coveralls badge
new 9f46531 Filled in missing negation
new 73bebfe Merge pull request #5018 from ltiao/patch-1
new 34c4930 FIX: ensure that get_params returns VotingClassifier own params
new 71feb53 FIX seed the initialization of NMF
new e250fae Merge pull request #5020 from ogrisel/fix-nmf-rng-seeding
new 6fedcab Verbosity reduced, suggestions merged
new 69994c0 Responses changed to targets
new 7d0c734 Responses changed to targets
new a91aac0 PEP257 adhered to closer
new 6c09af5 Merge pull request #5017 from lesteve/fix-coveralls-badge
new 4c68a2d MAINT make copy_joblib.sh Python 3 compatible
new 552a80a Merge pull request #5021 from lesteve/make-copy-joblib-sh-python3-compatible
new 72eda98 Merge pull request #5005 from amueller/drop_old_doc_links
new 15fad67 TST Increase samples for classifier tests
new f9e0736 Adding a new kmeans example.
new 77d3fd9 Merge pull request #4967 from stephen-hoover/threshold-boosting-samme_proba
new a45a50e Merge pull request #5019 from glouppe/voting-get_params
new f73fe10 DOC: Remove extra "not". [ci skip]
new 5fa4d63 Merge pull request #5025 from jakirkham/fix_typo
new b52054f Merge pull request #4957 from dotsdl/issue-4614
new 0d4770f Adding kmeans example to the narrative documentation
new 253ae0e Adding a reference to the example in the narrative documentation
new 0b83c98 DOC tweaks for feature_extraction.text
new 24e962c cosmit in plot_cv_predict
new e2f5665 Make more clear that adding algorithms is not the preferred way to start contributing.
new f8985f2 Merge pull request #5038 from jnothman/textdoc
new 7fd2206 Merge pull request #4960 from mkrump/lb_encoder
new e91af4c Merge pull request #5042 from amueller/contributing_addition
new c3b56ac fix shape of thetaL, thetaU, theta0 in gp
new 2186d93 Update lfw.py
new f9ae0f8 Merge pull request #5048 from marktab/fixlfw
new 0bcbf92 Merge pull request #4965 from mrphilroth/4922
new 27f14d0 lars_path method complemented with nonnegative option.
new 30225aa lars_path method complemented with nonnegative option.
new ae1fba0 Merge branch 'nonnegative-lars' of https://github.com/michigraber/scikit-learn into nonnegative-lars
new 9dafcb1 Merge pull request #5016 from lesteve/update-joblib-to-0.9.0b3
new b802ca2 ENH: add Cohen's kappa score to metrics
new 3a135f5 Final round of revisions
new df14ef9 Rewrite of the documentation for LDA/QDA
new 8b7fa9e Small edits to LDA/QDA documentation
new 9207639 DOC fixed short underline
new d857349 Merge pull request #5010 from jmschrei/_tree_doc
new 25f8939 DOC: fixes to _tree.pyx
new cec3bf9 FIX assign_rows_csr: should not zero the entire out array
new fead69a Bugfix : type in cd changed for read only memmap compatibility
new 2afbc0f FIX make sure y is 1d in svm regressor, add common test for regressor shapes.
new 99eff75 fix TheilSenRegressor input validation, LassoLarsIC input validation
new 35927df added handling of 2ndim y in regressors to whatsnew.
new 3a6c4dc Merge pull request #5057 from amueller/fix_2d_y_svm_regressor
new 77ecf16 Merge pull request #4775 from arthurmensch/cd_fast_readonly_array_brainfix
new ef3a404 Merge pull request #5052 from larsmans/kappa
new 9127fac FIX commit re-cythonized sparsefuncs_fast
new 598665e TST common metric tests for cohen_kappa_score
new 9a0ba8c Merge pull request #5049 from amueller/gp_reshape_fixes
new 6bae1b9 force y to be numeric in kernel ridge.
new 1fe83d1 Merge pull request #5047 from amueller/scipy_0.16_fixes
new ab7b42f TST Fix: made the test for y 1d conversion warning more robust.
new 2d9388f Merge pull request #5072 from amueller/fix_fun_conversion_warning
new 489db27 Add more extensions and related packages to related_projects.rst
new e324fe4 Add some newline characters to respect the 80 characters rule
new dd08564 Fixed minor typo
new cd9eb96 FIX import column_or_1d from utils.validation directly
new 16337b2 Merge pull request #5077 from rvraghav93/fix_import_coor_des
new cb0916c ENH: Adds CallableTransformer
new 9d14f73 ENH: Renames CallableTransformer -> FunctionTransformer.
new ba44e7b COMPAT: Makes test_function_transformer py2 compatible.
new bf8b91f DOC expand FunctionTransform docstring
new 662f972 DOC added whatsnew for k-means fix
new a2a2d83 FIX be robust to obscure callables that are false.
new 3c6cf99 Merge pull request #5059 from amueller/function_transformer_rebase
new b09afb0 DOC/MAINT final touches to FunctionTransformer
new 13c241f Merge pull request #5076 from PGryllos/update_doc
new 32f2e8e Add common test that transformers don't change n_samples.
new 208d194 Added several related projects.
new 1aa78d1 Added a link to the deep learning software list.
new a8970fc Added Testcase for LDA-Covariance
new 1d98ca3 Fixed shrinkage covariance for LDA
new 7befb5d Explicit broadcasting
new c7c76b2 Updated whats_new.rst
new 7a3a987 Fix memory access error in OneClassSVM
new 9fd8149 Update whats_new.rst
new 617d28d Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into patch-1
new c4dae2e - removed incorrectly commited file
new e5934cf Merge pull request #5092 from kazemakase/fix-lda-covariance
new d04d7cf TST: fix undefined behavior in test
new 250e509 ENH O(1) stop-word lookup when list provided
new 44fd56b Merge pull request #5093 from amueller/one_class_svm_memory_fix
new 78bd87b OneClassSVM sparsity regression test added
new 7fca5a1 COSMIT prefer loops to repetition in LSHForest benchmark
new a6c6e73 Merge pull request #3659 from chyikwei/onlineldavb
new 28beb84 COSMIT pep8 online LDA
new 1a45b79 typos
new 0586070 chmod -x
new d341dac Remove shebang and utf-8 header.
new 664d78e MAINT Remove support for the deprecated sequence of sequences
new b0e44c3 MAINT return 'unknown' for seq. of seqs in type_of_target
new 94891f0 MAINT deprecate seq of seq in metrics fully with tests
new 9d96753 FIX bailout w/ValueError if multilabel-seq or other unsupported types
new 72f6225 MAINT/ENH inline the logic for _is_sequence_of_sequences
new 3bd6132 FIX make sure empty target vectors are returned as binary
new 8f1ad44 FIX 2D binary array-like must be considered as unknown
new 714eef2 TST Explicitly add one empty label
new 7def0a7 TST/MAINT reintroduce mixed types test sans seq. of seq.
new c031b39 MAINT is_label_indicator_matrix --> is_multilabel
new 6fb17a1 FIX revert generation of seq of seq in make_multilabel_classification
new 7e828db MAINT remove unused import warnings
new 18221db FIX type_of_target will now raise ValueError on ml-seq; [[1, 2]] is mc-mo;
new 1da4679 TST (in metrics) change error message for seq. of seqs
new 103f504 DOC revert the documentation changes
new 734bead MAINT Use check_is_fitted
new dd2cb65 FIX/REVERT undo removal of ignore_warnings to avoid a few warnings in tests
new 5005d38 MAINT Remove ignore_warnings from test_matthews_corrcoef_nan
new 89ec72e Example to demonstrate use of tree.apply() method
new e4df618 ENH micro-optimize LatentDirichletAllocation + cosmetics
new 5aab0af added a string for FriedmanMSE (instead impurity) when exporting a dot file
new a08482a missed elif
new 4c2d61a Merge pull request #4919 from rvraghav93/label_binarizer
new 11cd969 fixing a typo in feature extraction documentation
new 28452b4 Merge pull request #5117 from kylerbrown/patch-1
new a88f6ec add sample_weight into LinearRegression
new 088ee0e deleted useless assert
new 50e5031 Merge pull request #5074 from jdwittenauer/master
new e287760 DOC: happy new year!
new 4036dd0 DOC: typo in function name
new 4ac6a90 ENH: split LDA's n_iter_ into n_iter_ and n_batch_iter_
new 26e47d7 remove dirichlet_component_ variable
new 1084047 now uses isinstance and keeps original name (FriedmanMSE)
new 03e95ef added a test and reverted string to friedman_mse
new 1360118 corrected test: criterion name has to be only in those nodes where there is "samples"
new 858ce4c took if clause into regex
new a7081d7 [issue #5043] fix documentation of callable kernel
new 6d78d3d implemented improvement suggestions
new edf077c Merge pull request #5050 from AnishShah/issue5043
new f4fa782 Merge pull request #5111 from chyikwei/remove-unnecessary-variable
new 5908bcc TST: LatentDirichletAllocation behavior on empty documents
new ea8d092 Explicitly mention RandomTreesEmbedding in the text
new a946890 ENH: faster LatentDirichletAllocation (~15% on 20news)
new d0ce632 added newline (for pep8) and reverted to regex solution due to 0.0/-0.0 problem on windows
new a8976e7 fixes
new 749f2a9 DOC n_thresholds may be < no. of unique scores
new 25a217b small typo fix "radius" in rbf kernel
new d75f8cc "nonnegative" -> "positive" + cleanup
new 8e3b22c lars_path method complemented with nonnegative option.
new e50aaba "nonnegative" -> "positive" + cleanup
new 7622e0a Merge branch 'nonnegative-lars' of https://github.com/michigraber/scikit-learn into nonnegative-lars
new ceb066d cleanup
new d6908a9 todos for pull request
new b3694b1 Merge pull request #5126 from rasbt/rbf
new 9db5dee Merge pull request #5113 from fzalkow/master
new e3f46cb docstrings added + fit_intercept reintroduced.
new b2cea17 cleanup
new 7f1bf0d positivity constrained can now also be used for the CV estimators.
new c369af4 doctest fix.
new 6b22d97 positive option for Lars propagated to doc.
new 89ddbe2 Merge pull request #5120 from larsmans/faster-lda
new 2ed0c22 Added check_input in Lasso for DictLearning performance
new cf2a875 FIX: Fix for changing mode
new 393d651 Merge pull request #5133 from arthurmensch/lasso_perf_checks
new ef66046 Merge pull request #5094 from pv/fix-inplace
new af587ec Removed unnecessary class checks
new 39bad0a Merge pull request #5143 from Eric89GXL/fix-r2
new 0015659 Merge pull request #5081 from amueller/transformers_consistent_n_samples
new f38aea4 Fixes #3594.
new 11d33bc Merge pull request #5071 from mth4saurabh/fix-issue-3594
new 617baa1 Style fix
new 6c1c6ec agramfort code review input
new 7d4e8e1 test lars_path positive constraint.
new 535536e merge with upstream/master
new 7e16f9d fit_intercept docstring comment removed from lars_path method
new f157606 positive option passed on to LarsCV estimator
new bbbca02 tests of positive option for estimator classes
new 38451a3 tests of positive option for estimator classes condensed.
new 7224c31 DOC rearrange related projects
new db1f67b pep-8 fix
new 8a3d97d DOC mention intercept_ attribute in ridge docstring.
new 98fc670 Merge pull request #5157 from amueller/ridge_intercept_docs
new aa2d6bf Add check for sparse prediction in cross_val_predict
new 48adf8b Use a single vstack for concatenating all blocks in prediction matrix
new 98fefd1 tests for comparison of results for Lasso and LarsLasso added.
new e35c90c Use Inverted locations to reorder the predictions
new 26d3323 Remove redundant p variable
new 0c6b173 Add test to check sparse predictions in cross_val_predict
new b68f922 Fix minor indentation issues
new 6248745 fix #5139
new 434ee95 test for accepted sparse matrices
new 0706636 Merge pull request #5063 from amueller/bagging_input_validation
new 3fc4ff3 Merge pull request #5098 from olologin/OneClassSvm_sparse_test
new de48574 DOC FAQ on loading data as numpy arrays
new 254b815 DOC explain fork related issues in FAQ + stopgap for Python 3.4
new 42b9590 Merge pull request #5167 from NoonienSoong/clustering_example
new 9486a7a Merge pull request #5161 from beepee14/sparse_prediction_check
new e62e9e1 DOC add what's new entry for cross_val_predict fix
new ea42c55 PEP8 in cross_validation module + tests
new 2ba124b DOC use correct attribute in example
new 53324a1 docstrings updated with considerations regarding small alphas when positive=True.
new d3dec94 comparison test of Lasso and LassoLars under positive restriction refactored and commented
new 4170473 Merge pull request #5131 from michigraber/nonnegative-lars
new a8585a4 pep8 + simplify positive test
new c3cfebe [BUG] predict_proba should use the softmax function in the multinomial case
new 74d4334 DOC don't show example thumbnails in latex docs
new e2f3aab DOC Updated documentation for cv parameter
new bcb6d3b DOC: minor cosmetric to ROC example
new c779569 Merge branch 'master' into pr_3651
new 8bc47f2 ENH exposing extra parameters in t-sne
new 21a966a ENH: added LabelShuffleSplit cv iterator
new 337a6ba DOC: add cross_validation.LabelShuffleSplit to classes.rst
new fb58d37 Merge branch 'master' into pr_4009
new 388e596 Merge branch 'master' into pr_4009
new 764826c Merge pull request #5162 from ogrisel/faq-freeze
new 42229fd Merge pull request #5187 from GaelVaroquaux/pr_4009
new 7ce32d7 Merge pull request #4253 from Flimm/doc-precision_recall_fscore_support
new 9ec7ecd DOC: update whats_new
new eb6b654 Merge pull request #5186 from sdvillal/issue5165
new 919fc49 ENH precomputed is now a valid metric for 'brute'
new 5867ef4 ENH precomputed is now a valid metric for 'auto' neighbors
new 3aa4fc2 ENH support precomputed neighbors where query != index
new 2245790 TST precomputed matrix validation in correct place
new f4fc275 FIX add _pairwise and test to NeighborsBase
new 6daa0f8 DOC fix up parameter descriptions
new 6c750ba FIX broken rebase
new 066a134 TST add test for precomputed metric and X=None at predict
new 847e366 FIX test with invalid input; simplify dbscan precomputed
new c45b863 TST: Use a local random state
new aaae2db make_multilabel_classification sparse target
new 3e23cf0 Merge pull request #4104 from maheshakya/johnson-lindenstrauss_bound_example_fix
new 242aaca Merge pull request #4312 from xuewei4d/friendly_error_on_kneighbors
new 71c99dc FIX error introduced during rebase
new c4721f3 TST: No n_jobs=-1 in the test
new a5537aa override predict_proba in log_reg
new ab8f155 Merge pull request #5188 from GaelVaroquaux/pr_4090
new 869971f Merge pull request #5184 from christophebourguignat/master
new 6e735f5 Merge pull request #4767 from trevorstephens/passive-aggressive_cw
new 55c32ef Merge pull request #4779 from martinosorb/parallel-ms
new 190abde Merge pull request #4881 from sonnyhu/weighted_least_squares
new c85f2ad Add non regression test
new 0bf7536 Merge pull request #5189 from GaelVaroquaux/pr_4779
new 8d8b434 support X_norm_squared in euclidean_distances
new 4f713ce Merge pull request #5182 from MechCoder/predict_proba_fix
new 96c329f Merge pull request #5037 from betatim/tree-feature-transform
new 6126ece unused import
new 1991c43 DOC Updated documentation for cv parameter (issue #4533)
new 53c3530 DOC Updated documentation for cv parameter (issue #4533)
new 343f9b4 ENH sparse precomputed distance matrix in DBSCAN
new 3393b07 Merge pull request #5174 from jnothman/dbscan_precomputed_sparse
new 7b5eca2 DOC what's new: DBSCAN sparse precomputed
new 201aca9 DOC tweaks to what's new
new 4d39cf8 Merge pull request #2459 from dougalsutherland/euclidean_distances
new 364825a Merge pull request #5194 from christophebourguignat/master
new 0bbdfe4 DOC resize images for latex
new a1ad90e DOC hide web-specific links from latex build
new 3bcd772 DOC prefix version headings by "Version"
new e19b700 DOC provide PDF documentation for download
new db0cbaf MAINT bump joblib to 0.9.0b4 to use forkserver for Py3 & POSIX
new 643e7cb DOC update FAQ on multiprocessing forkserver
new 150267f added comments for y in dump_svmlight_file() method
new b10e78e [DOC] Precision on random_state in KFold() doc
new e2e5fbd Merge pull request #5201 from christophebourguignat/master
new 9d01a1c changed shape parameter
new 4b320ce Added check to ensure that NumPy and SciPy meet minimum version requirements (NumPy >= 1.6.1, SciPy >= 0.9)
new 6248fee Amended error message to remain valid when NumPy/SciPy are installed but out of date
new 66b0e13 Added reference to SciPy/NumPy min_version vars in ImportError
new 7496e42 Made setup.py pep8 compliant
new 1529a1e MAINT enable multiprocessing + kmeans test on Python 3.4
new d2b668c DOC whats_new entry for forkserver
new 5a1f183 Creation of the attribute LDA.explained_variance_ratio_, for the eigen solver. It is an analogy to PCA.explained_variance_ratio, and works in the same way.
new 3ad9972 Addition of a piece of docstring for the attribute explained_variance_ratio_. Creation of the function test_lda_explained_variance_ratio to test this new attribute.
new 099b483 Correction of the name of a function.
new cf4bc71 Changing [ to (. Formatting consistency.
new 6e7e9d3 Modification of a line after @agramfort's suggestion.
new cdaad2d Correct expectation notation in DP-GMM doc
new bb2aced AdaBoostRegressor should not raise errors if the base_estimator does not support sample_weights
new b729cf2 DOC update AUTHORS.rst to better reflect team
new d39716e Optimize MSE criterion
new 6eb4028 Added subject independent KFold
new cf7bc7b ENH: rename to LabelKFold
new c769a65 COSMIT: variable names, documentation, etc
new 251fecc ENH Faster tree-based methods by implementing reverse update of criterion
new e648fb9 Added the option of passing in a sparse X matrix into decision function, plus tests for sparse for all prediction functions.
new 410e7f2 ENH: remove unnecessary assignments
new 59a1bdd Merge pull request #5220 from arjoly/fast-reverse-update
new 44b1f3a Merge pull request #5190 from glouppe/labelkfold
new 4f6cd63 Changed predict_log_proba so that it accepts sparse matrices.
new 2da8623 Merge pull request #5223 from mattilyra/allow_sparse_in_baggingclassifier
new 709e6a6 Merge pull request #5195 from jnothman/example_latex
new 6f696ca Merge pull request #5218 from mooz/patch-1
new f08963b Add numerically stable softmax function to utils.extmath
new d81b8ed Add test for softmax function
new 08bf350 Merge pull request #5199 from ogrisel/joblib-0.9.0b4
new 7fccf45 Merge pull request #5207 from MechCoder/ensemble_sample_weight_bug
new 5978c0b ENH split _tree.pyx into several files
new ddbf727 DOC describe constitution of AUTHORS.rst list
new 4955a64 DOC sort AUTHORS.rst by surname
new 77c963d Merge pull request #5230 from jmschrei/_tree_split
new 2f09933 MAINT deprecate 1d input arrays for all estimators
new cb591e1 Merge pull request #5225 from MechCoder/fix_overflow
new 3f9d33c Merge pull request #5200 from jackzhang84/add_dump_svmlight_file_comment
new 882c346 DOC Make cv documentation consistent across our codebase
new 250507f FIX deprecation message for 1d data
new bc225a5 ENH apply method added to Gradient Boosting
new 470b9a4 Merge pull request #5228 from jmschrei/gb_apply
new 994cbe1 FIX unstable test due to bootstrap and unset random state
new 6942043 Updated whatsnew for sprint and LatentDirichletAllocation, add some missing author links
new 4ceffe0 Adding Implementation of SAG
new 94eb619 ENH add sag solver in LogisticRegression and Ridge
new cda140e fix rebase mistake
new 0c1afd7 [BUG] _init_centroids has an optional x_squared_norms parameter which is not exactly optional
new 1fdfd23 Added output of out-of-date SciPy/NumPy versions to setup.py, if detected
new 7e2453a Merge pull request #5242 from arjoly/stable-test-2
new 9ebc6fe Merge pull request #5216 from JPFrancoia/master
new 679936f MAINT Deprecate LDA/QDA in favor of expanded names
new 91de280 MAINT re-cythonize sklearn/tree/*.pyx
new 3b30958 MAINT PEP8 / slightly faster tests in decomp LDA
new 75d65dc Merge pull request #5249 from MechCoder/init_centroids_bug
new 62ad838 OPTIM make (Online) LDA reuse a joblib.Parallel instance
new 84df9e9 Merge pull request #5206 from acganesh/numpy_scipy_ver_check
new fe09a07 FEAT Barnes-Hut t-SNE
new 1ce9ba3 add necessary blas files.
new fe49161 Minor fixes, remove transform for now.
new 6dd6f8f minor fixes to the doc build
new 25dbb15 TEST: stronger tests for variable importances
new 78974de TEST: use sklearn.fixes.bincount
new bcc6f1b TEST: take comments into account
new 5810567 Fix check in `compute_class_weight`.
new f01a695 Fix assertion for Python 3, use `assert_raise_message`.
new 698b670 check_X_y: Added mention that function returns y array
new 99f7354 Merge pull request #5263 from hlin117/check_X_y-docs
new 4a6f96f Merge pull request #5258 from amueller/docfixes
new 9ec03c2 Change formatting of `assert_raise_message`.
new af56154 Merge pull request #5238 from rvraghav93/cvdoc
new 5f589fb TEST: reduce test time, variable name, etc
new 8424c48 Merge pull request #5262 from andylamb/lamb-fix-class-weight-check
new 3575db6 TEST: check parallel computation
new b099a59 Merge pull request #5261 from glouppe/check-importances
new 0bc3a6f Merge pull request #5245 from ogrisel/lda-acronym-deprecation
new 0de583a Fixed LDA typo in doc
new 5aaf6ec Merge pull request #5271 from vortex-ape/lda-typo
new 1a15fdc Added handling of sample weights in logistic.py * Updated _check_solver_option to include sample_weight check * Updated all calls to _check_solver_option() * Updated documentation of class_weight throughout logistic.py * Added sample_weight parameter to logistic_regression_path. * Added handling of sample weights to logistic_regression_path. * Added sample_weight parameter to _log_reg_scoring_path. * Added handling of sample weights to _log_reg_scoring_path. * Added [...]
new 942ff5c Updated logistic regression tests with sag solver
new ebd5dbc Fixed syntax and combined two test functions
new fac33ad Adding checks for the input LDA prior
new 628ed2c ENH remove some warnings in test suit
new fecd355 FIX array_equal for numpy < 1.8.1
new b9e79bd Go to easy _open_ issues page
new fbdb727 Merge pull request #5284 from tdhopper/patch-1
new 8706e9e Merge pull request #5280 from ogrisel/pr-4924-rebased
new 4af0c49 vocabulary of type set now coerced to list to preserve iteration ordering after serialization
new 4366ba5 use sklearn.utils.random
new 0a7a1db removed list around sorted
new 8f0d4fc ENH avoid slow CSR fancy indexing variant
new dae50f5 Updated link. Original link to ZhangIJCV06 paper "Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study" was dead. Replaced all occurances of "http://eprints.pascal-network.org/archive/00002309/01/Zhang06-IJCV.pdf" with "http://research.microsoft.com/en-us/um/people/manik/projects/trade-off/papers/ZhangIJCV06.pdf"
new 9ea9b34 Merge pull request #5289 from carrillo/master
new 37bd275 Merge pull request #5283 from TomDLT/remove_warnings
new 770d089 Merge pull request #4887 from amueller/tsne_fixes
new a24b932 DOC comment on obscure syntax
new b9284a7 Merge pull request #5288 from jnothman/bicluster-example-speed
new ceeef70 ENH refactor NMF and add CD solver
new db52aac Merge pull request #4852 from TomDLT/nmf
new a0ce9e4 add future warning to pipeline.inverse_transform with 1d X.
new 442b49a ENH criterion file cleaned up
new 95fe122 Merge pull request #5278 from jmschrei/_criterion_cleanup
new aa60d98 DOC: better docstring for sum_total
new c521783 Merge pull request #5293 from amueller/pipeline_X1d_inverse
new 5271c04 deprecate fit params in qda and lda
new 2a5652a Merge pull request #5294 from trevorstephens/lda_qda_fit_params
new 6966881 MAINT use inspect.signature for introspection
new 3c6ef92 Merge pull request #5253 from ogrisel/online-lda-with-parallel-context-manager
new 08460eb ENH: optimize LDA, ~15% faster on one core
new 218e255 Merge pull request #5301 from ogrisel/python-3.5-inspect-deprecation
new 798aeaf FIX criterion variable names
new c82ad6d Merge pull request #5305 from jmschrei/criterion_patch
new ac7373a Merge pull request #4955 from copyconstructor/preserve-vocab-ordering
new 8fcd063 DOC: TODO notice in Hungarian algorithm, use SciPy version when released
new 1f4bc26 FIX: Ensure correct LabelKFold folds when shuffle=True
new 468455c Added link to github repositories in what's new.
new 8959375 Merge pull request #5310 from JeanKossaifi/add_repo
new 7881ab5 Dataiku testimonial
new 86b1ba7 Merge pull request #5311 from jereze/master
new 46c0e85 #5309: Added verbosity argument to sparse_encode, verbosity for LassoLars and Lasso
new 47ece78 added k-modes clustering project
new a00af6d MAINT build and test with Python 3.5 on appveyor
new de3934f MAINT update numpy / scipy wheels used by appveyor
new d28a12e Merge pull request #5303 from larsmans/faster-lda
new 2556ae0 Merge pull request #5300 from glouppe/fix-5292
new f6fe634 DOC: optimize Dataiku logo (16kB => 10kB)
new 02c0029 ENH gbt sparse support
new 2c758f3 Merge pull request #5252 from jmschrei/presort
new d70161e MAINT configure the appveyor's cache for pip
new c9d8e91 Merge pull request #5302 from ogrisel/python-3.5-appveyor
new 509bc04 Merge pull request #5317 from hlin117/verbose-sparse-encode
new e7ecc4f BUG shuffle components, not samples in NMF CD
new 47a85f3 MAINT: better timing and general fixes in NMF/LDA example
new f1c5924 ENH better error message for estimators with ensure_min_* checks
new a2d638b Merge pull request #5334 from ogrisel/better-ensure-min-error-message
new c8406fb Breast cancer dataset added
new 46edeec COSMIT some refactoring in NMF
new f8486a5 fixes scikit-learn/scikit-learn#5329
new 9de7815 Merge pull request #5332 from larsmans/nmf-cleanup
new f5138ad remove numpy's RuntimeWarning from corner case of PCA.fit
new c4687fd Merge pull request #5335 from rrohan/current
new e7c50de misc + pep8
new 808fa64 FIX consistency of memory layout for linear CD solver
new c3a3e69 FIX ensure contiguous Gram matrix in graph lasso
new 1025982 Merge pull request #5337 from ogrisel/fix-coordinate-descent-memory-layout
new a52053d Fix sparse_encode input checks
new c438f78 Implemented SelectFromModel meta-transformer
new 8a28ea8 fix test failures
new 459cb9b Remove warm start
new 2416e2a Catch filters instead of removing the tests
new 9cee0d9 Added example to depict feature selction using SelectFromModel and Lasso
new 3d41053 Minor doc changes and removed _set_threshold and _set_importances
new 10176d9 Now a fitted estimator can be passed to SelectFromModel
new 2ee718c Add narrative docs and fix examples
new acf5f16 Merge SelectFromModel and L1-selection examples Add test to check the threshold can be set without refitting
new 919968a Fixed typo in the final ".. note::" of naive_bayes.rst
new b316dca Merge pull request #5346 from Naereen/patch-1
new af4a2ca DOC: Fix typo in CalibratedClassifierCV
new 4d0861a Merge pull request #5347 from ariddell/patch-3
new 687af98 added predict_equal_labels test and changed kmeans single
new fc18756 moved condition out of the loop
new ddc9852 Added check for max_iter and test
new f4e1658 Added explanatory comment
new e8d2b93 Merge pull request #5231 from vighneshbirodkar/kmeans_fix
new 74ebef5 MAINT: make GaussianNB scale-invariant
new 83fdaa3 TST: GaussianNB scale invariance
new e2e33aa GaussianNB: use var() rather than std() in epsilon determination
new 176427e Fix SGD partial_fit multiclass w/ average.
new e3b9e0b Added entry to `doc/whats_new.rst`.
new 03eff3a Merge pull request #5336 from giorgiop/pca-warning
new 69831da ENH utility to have distinct dataset .pkl filenames
new 1a1fe10 FIX separate filenames for RCV1
new b44ba51 FIX separate filenames for species distributions
new 60eb28d FIX separate filenames for covtype
new 890147f FIX separate filenames for 20 newsgroups
new b17bdf7 FIX separate filenames for california housing
new 8d058d3 FIX separate filenames for Olivetti faces
new 9e337b1 DOC what's new entry for dataset fetchers
new eac920d MAINT: minor fixes to GaussianNB epsilon
new bb9e725 DOC: add whats_new entry for PR #5349
new bdc39e7 DOC FIX missing minus in Shannon's entropy formula
new 86be478 FIX Use float64 to avoid spurious errors
new 1d5b473 Lasso and ElasticNet should handle non-float dtypes for fit_intercept=False
new 37c6717 Missing link for inertia (about K-Means)
new d77ea12 Merge pull request #4707 from amueller/k_means_init_mismatch
new 24e6d92 Implement dropping of suboptimal thresholds in roc_curve
new 42cc2fa Merge pull request #5237 from gclenaghan/remove_thresholds
new 9ff9ae7 fix merge conflict
new 99b794c Merge pull request #5363 from Naereen/patch-1
new ba3caf4 Merge pull request #5356 from rvraghav93/ridge_appveyor_failure
new e103c31 Fix few typos on links and doi
new 386ecd4 Merge pull request #5365 from Naereen/patch-2
new 60b41a8 correct optional arguments for FeatureHasher
new 735dd1f Fix warnings during tests
new f60ba72 Increase length of array indexing type in ArrayDataset
new 8b1d37d Merge pull request #5369 from joshloyal/fix_hashing_docstring
new 5a0db17 1. Added parameter prefit to pass in a fitted estimator. 2. Use assert_warns instead of catch_warnings 3. Remove depracation warnings in common tests.
new f0121b7 removed reshaping in fast_mcd and replaced by check_array
new c857e1e Merge pull request #5349 from jakevdp/naive-bayes-scale
new 84e9e10 Merge pull request #5371 from ylow/sgd_bug_fix
new c805fbc Refactor tests
new 652b950 Merge pull request #4242 from MechCoder/select_from_model
new 0fec61a Changed the number of features from 10 to variable
new 3c22232 Now plots based on the number of features in X
new 59c0cb7 FIX mailmap
new f0a162d Merge pull request #5386 from jmschrei/contrib
new 281aebd Merge pull request #5384 from map222/patch-1
new da9a7cd Merge pull request #5362 from MechCoder/lasso_fix
new 8d273a1 Merge pull request #5234 from vighneshbirodkar/mcd_fix
new 46ede61 Add link to ETL.
new 8e5b375 DOC trying to make GridSearchCV docs more accurate... not sure if better
new d972da2 FIX temporary fix for sparse ridge with intercept fitting
new db49cdd DOC update docstring and warning
new 6a5a2f7 partial_fit for scalers
new 7fe902c Merge pull request #5378 from amueller/gridsearch_docs_unsupervised
new 90922ea Merge pull request #5360 from TomDLT/sparseridge
new 838570c Fixes #4455.
new 9564b94 Merge pull request #5104 from giorgiop/scaler-partial-fit
new c3625cb DOC wrong default value in docstring
new 1af69aa Merge pull request #5400 from kwgoodman/doctypo
new e5d3cbc MAINT update joblib to 0.9.2
new a601526 Added laplacian kernel
new 276d928 DOC formatting fixes for laplacian kernel
new 85223b9 a common test to check if classifiers fail when fed regression targets
new 31a5a5f Fixed warnings for DataDimensionalityWarning, decision_function and decision_function_shape.
new daf41d0 FIX non deterministic LSHForest doctest failure
new 6db0037 DOC add link to the joblib 0.9.2 release notes
new 6fe94b5 Merge pull request #4478 from amueller/fix_randomized_svd_transpose
new 16fcb15 ENH use explicit decimal keyword & PEP8
new 4e2f20b DOC whats_new entry for randomized_svd heuristic
new 1070e1b Merge pull request #5395 from amueller/some_test_deprecation_warnings
new e777fa7 DOC: correct docstring
new 02b9a72 DOC Fix plot_tomography_l1_reconstruction example
new d52e2a1 Merge pull request #5410 from GaelVaroquaux/fix_doc_gcv
new 4f4c359 FIX dtypes to conform to the stricter type cast rules of numpy 1.10
new affa122 MAINT Update the 3rd travis build to latest versions of numpy and scipy
new 21fab6e FIX Move validation from helper to main function
new cac1d28 FIX AdaBoostRegressort test failure with numpy 1.10
new 47f19e9 MAINT add safe_{median|mean} for np 1.10.1
new 1b9e791 Merge pull request #5398 from rvraghav93/fix_for_numpy_10
new 32ab5b5 DOC fix missing import in plot_lle_digits example
new 218bd82 Merge pull request #5409 from lesteve/fix-plot-lle-digits
new 79fa25a MAINT don't print things in testing.
new 67ab084 Merge pull request #5399 from lesteve/update-joblib-to-0.9
new c66689c FIX Don't compare arrays to strings!!!!
new b1619d0 DOC : update docstring of l1_ratio for E-Net CV classes
new 2d97609 Merge pull request #5402 from lesteve/fix-lshforest-doctest
new 3301893 Merge pull request #5413 from amueller/cleanup_tests
new a870112 FIX precision to float64 across the codebase
new bd66a27 proposed fix for #5387
new c0c2c73 Merge pull request #5411 from lesteve/fix-plot-tomography-l1-reconstruction-example
new 2300bdd MAINT switching master to 0.18.dev0
new c7b1a6e BUG: reset internal state of scaler before fitting
new 4e64915 Merge pull request #5416 from giorgiop/fix-scaler-refit
new 96f587a DOC cosmit I find it confusing to say that fit resets the estimator, at it always does that.
new ea9da29 BUG: reset internal state of scaler before fitting
new 1d1d0d8 DOC cosmit I find it confusing to say that fit resets the estimator, at it always does that.
new cd12906 MAINT Release 0.17b1
new c31de11 Fix broken examples using RandomTreeEmbeddings
new 5f3cbb5 Merge pull request #5421 from shagunsodhani/proposed-fix-for-#5387
new 18a53f2 FIX skip LDA deprecation test on python3.3 that has no reload.
new 0d26d54 Merge pull request #5423 from MechCoder/example_fix
new d140e80 MAINT Use the full listing of the rackspace wheelhouse for appveyor
new 9be4337 MAINT Use the full listing of the rackspace wheelhouse for appveyor
new a76d987 Fix broken examples using RandomTreeEmbeddings
new 6db9ee0 Merge pull request #5429 from amueller/python33_reload
new f338a02 FIX skip LDA deprecation test on python3.3 that has no reload.
new fa59f82 DOC update doc/readme
new 1bafa77 Merge tag '0.17b1' into releases
new a3ef5b7 Merge branch 'releases' into dfsg
new 5e61365 Merge branch 'dfsg' into debian
new 8e8731c changelog
new b6bd07c dropped CPed patches and refreshed one
new 0d6b593 requires joblib >= 0.9.2
new 7e29af0 MAINT remove deprecated stuff that will no longer be supported in 0.18
new 008adf1 Merge pull request #5375 from rvraghav93/set_precision
new bf8f3f1 fixed issue #3450 for hamming loss
new 49e8fd3 MAINT: deprecation warns from StandardScaler std_
new afe1f60 Naive optimization
new fbd4b79 - Add max_n_classes param to cluster.supervised metric - Add testing for the Value Error - Check that n_clusters,n_classes are not too high in contingency matrix
new 5f8ef64 Pre-allocate array in _graph_is_connected
new e7a3675 the test to reflect issue #5433
new 3f86d68 code fix for issue #5433
new e916008 Reduce test time.
new a29676e Bug fix for unnormalized laplacian
new 0543842 - test for unnormalized Laplacian computation
new 6769d81 correct comments
new 7f6b79b Update whats_new.rst
new b97e5b4 - removed incorrectly commited file
new 8cff95f Revert "- removed incorrectly commited file"
new 60cff80 Merge branch 'patch-1' of https://github.com/yanlend/scikit-learn into patch-1
new 56796e4 Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into patch-1
new 8deaf31 Fixed the docstring (issue #5313)
new 969337c DOC: clarify inputs for haversine metric
new 0cd3d63 referencing datasets documentation in toc
new 8d2c15c Merge pull request #5437 from rvraghav93/remove_deprecated_stuff
new 8c9c8a5 MAINT: remove unused import
new 40b541e Merge pull request #5440 from giorgiop/scaler-deprecation
new 3ab597c Merge pull request #4995 from yanlend/patch-1
new 19fc67c Merge pull request #5454 from GaelVaroquaux/test_branch
new 657190d Add test for _graph_connected_component function
new a4e4cf9 FIX: remove shuffling in LabelKFold
new 1dd5518 Correct Typo with Gael comment
new 9965f99 fix #4986 doc building on master with circleCI
new 0c24fee Merge pull request #5459 from waterponey/circleCI
new 3fd38e9 Merge pull request #5443 from AlexandreAbraham/optimize_graph_is_connected
new 658129a updated test with tips from @giorgiop
new 23e3987 fixing MaxAbsScaler according to MinMaxScaler
new 40ba4fc Merge pull request #5458 from glouppe/labelkfold-withoutshuffle
new 4f580e6 Deprecate residues_ in LinearRegression
new 2571158 add test for inverse_transform
new 9da9b58 add fix for inverse transform
new a0fc0ed changed weighting in hamming_loss in sklearn/metrics/classification.py
new e53bfa5 FIX: remove shuffling in LabelKFold
new 4861730 added test to compare scipy implementation of hamming loss with ours, in sklean/metrics/tests/test_classification.py
new ca89b34 ADD New kernel module for GPs which supports kernel engineering
new ca03d52 ADD New implementation of GaussianProcessRegression
new b76ca72 ADD Gaussian Process classification based on Laplace approximation
new 804c1d9 TST Tests for GP regression and classification
new e548d56 ADD Examples for GP classification
new 1c5db5f ADD Examples for GP regression
new b4f5463 FIX cross_correlation of anisotropic RBF kernel computed correctly
new e9ab6b1 FIX Fix some bugs in kernel module discovered during writing unit test
new 9dade31 TST Test for GP kernels
new 515defe REFACTOR auto_correlation() -> auto(), cross_correlation() -> cross()
new 7261032 DOC GP's kernel module documented
new 7b4d935 DOC Revised GP examples (added doc etc.)
new 1aa49b7 ENH GPR.predict allows returning standard-deviations of predictions
new 226bb3a DOC Revised examples based on @eickenberg's comments
new a5dc349 MISC Revised gaussian_process package based on @eickenberg's suggestions
new 2ab097f TST Dealing with failing tests from test_common
new 03e3575 REFACTOR Merging kernel methods auto() and cross() in __call__()
new 5eaa8cf ENH Adding PairwiseKernel for GPs (wraps kernels from metrics.pairwise)
new e165fed REFACTOR GaussianProcessClassification/Regression -> ...Classifier/Regressor
new 4dcd706 ENH More efficient approximation of gradient in PairwiseKernel
new e05daae ENH Avoid to create square matrix W_sr in all but one place (TODO)
new 6b3df1b ENH Adding RationalQuadratic and ExpSineSquared kernels
new 722ddf1 FIX Dealing with singular kernel matrix (-inf log-marginal-likelihood)
new eb44a42 ENH Adding DotProduct kernel and fixing ExpSine2 kernel
new f534a97 DOC Initial version of Mauna Loa CO2 example
new d8405c2 REFACTOR Hyperparameter optimization in GPs enabled explicitly by optimizer parameter
new 98f9774 DOC Revising CO2 example
new 4d3eb96 TST Cover more kernels in tests
new 209b202 ENH Analytic gradients for ExpSine2, RationalQuadratic, DotProduct kernels
new a13f765 DOC Extended documentation of GP kernels module
new cb7c424 MISC Reorganizing kernel module
new c259905 ENH Adding method is_stationary to GP kernels
new 3ad82d8 TST Testing kernel stationarity
new 49badf9 DOC Illustrating different kernels in plot_gpr_prior_posterior.py
new 555bb11 FIX test_converged_to_local_maximum deals with convergence to boundary
new ef86482 ENH More efficient computation of lml-gradient in GPR using einsum
new d0bc5dc FIX GPs do not modify kernel attribute but store optimized kernels in kernel_
new 9f6e48f REFACTOR GP kernels use separate specification of bounds and params (no joint param_space)
new 403b5f1 REFACTOR REnamed kernel property params to theta
new 8699a4c ENH Kernel implements equality check and get_params() method
new 73b32e3 TST Tests for cloning kernels with sklearn.base's clone function
new 2feb6e0 REFACTOR Replacing all calls to deepcopy() by clone()
new 752b6b8 TST Replace call to deepcopy() by clone()
new a3abc09 ENH Added Exponentiation kernel (DotProduct no longer has internal degree)
new 0210de4 TST test_kernels tests Exponentiation kernel
new 91b5739 FIX Using numpy-downward compatible ones_lile() instead of full_like()
new 27bd525 DOC Reorganizing gaussian_process examples
new e3423b9 FIX Minor bugfixes and downward-compatibility/python3 issue
new 141eb0b REFACTOR Rename GPR method sample to sample_y
new 0a23d9e REFACTOR Compute standard deviation of predictive distribution at n points in O(n)
new 3043a12 FIX GPC uses LabelEncoder in fit() and returns (n_samples, n_classes) array in predict_proba()
new ff92bc9 FIX Adapted examples and tests to GPC.predict_proba() adapted return shape
new 40b1426 FIX GaussianProcessRegressor inherits from RegressorMixin
new fd2cfc8 ENH Reducing memory-consumption of GPC.predict_proba()
new 6af3ffc FIX Numpy downward-compatible way of computing sum over two axis
new fb4eded ENH GPC can use warm-starts in _posterior_mode()
new 1c70e52 ENH Adding diag(X) method to GP kernels.
new 1790b94 DOC Adding GPC to plot_classifier_comparison.py script and enabling warm_start
new 3073d7e DOC gpr module fully documented
new 7773707 DOC gpc module fully documented
new 79d2194 REFACTOR Kernel hyperparamters are now set via their name
new 4571a7f TST Adapted tests to changes in kernels and added additional test for theta property
new 82ec208 DOC Adapted GP examples to changes in kernel module
new e3413b7 FIX Kernel property theta can deal with anisotropic RBF kernel
new 31ef645 FIX Dealing with anisotropic length-scales correctly
new caa4196 DOC Revised docstrings of kernels.py
new ebf3f05 REFACTOR Removed literal form of specifying bounds for ConstantKernel
new c961392 REFACTOR Changed order of l and alpha in RationalQuadratic kernel
new 02ab93e ENH GPR can use individual noise-levels for each datapoint
new 7f8bd09 ENH GaussianProcessRegressor supports multiple restarts of the optimizer
new 95d6577 TST An increasing number of random-starts of GPR only increases the LML of the chosen theta.
new 04770b1 DOC Adapted old example of fitting with noisy targets to new GPR class
new 22f049b ENH GaussianProcessClassifier supports multiple restarts of the optimizer
new d88670c TST An increasing number of random-starts of GPC only increases the LML of the chosen theta.
new 54df417 FIX Fetching CO2 data from mldata
new d0a5ff8 FIX GP kernels check for type equality before checking attribute equality
new 51f01d6 FIX cross_validation and pairwise_kernels treat GP kernels as special case
new 0b1fb33 DOC Adding example comparing kernel ridge with GPR.
new a9a884d DOC Revised plot_gpc example
new d26c355 DOC Adding documentation for GP kernels
new a5c1187 DOC Documentation of the CO2 example
new 698ecf5 DOC Backported documentation to kernels module
new cb9935b DOC Extending further the GP documentation
new 66acd22 ENH GPR supports normalization of target values
new d778496 TST Testing normalization of output values in GPR
new 84b49f9 ENH GPR supports target value with more than one dimension
new e813a73 TST Testing multi-out GPR
new 76a1b16 FIX Not performing hyperparamter-tuning in GPR if there are no hyperparameters
new 897da0f ENH GPR can use an externally defined optimizer for hyperparameter tuning
new 017a7fb TST Testing GPR with custom external optimizer
new 4db5142 REFACTOR GP kernel hyperparameters theta and their bounds are log-tranformed
new 15309a4 TST Adapting GP tests to changed hyperparameter representation
new 41cbb29 DOCAdapting GP examples to changed hyperparameter representation
new bcd4b72 REFACTOR Remove theta_ attribute from GPR and GPC
new 07cd4d4 ENH GPC can use an externally defined optimizer for hyperparameter tuning
new 78caa0b TST Testing GPC with custom external optimizer
new 2839f66 REFACTOR normalize_y in GPR does not modify standard-deviation
new 74bbacb FIX Sampling theta_intial uniformly from log-bounds in GPR
new 8af909b FIX Correcly composing theta vector in GP kernels
new 0d34a34 FIX Ensuring that predicted variances are never negative
new daa90c2 ENH Adding Matern kernel for Gaussian Processes
new 955aa60 DOC Adding documentation on Matern kernel
new 588cabf TST Added test checking that GPR can deal with different outputs for same input
new 9443f94 FIX Checking for correct dimensionality of anisotropic kernels
new 37a6348 FIX RBF and Matern kernel handle 1d length 1 length-scales correctly
new 7299cb6 DOC Added further doc for GPC
new bf0e290 ADD CompoundKernel for multi-class GP classification
new a5e207d FIX GPR's random_state is cloned correctly
new 3a31262 ENH Support for multi-class GPC added based on OneVsRestClassifier
new 5b47b04 DOC Adding GPC to plot_classification_probability.py example
new 0fa050c TST Testing GPC for multi-class classification problems
new 27b3016 FIX Several minor changes/fixes in gaussian_process module
new c8f23f4 FIX Using six.string_types instead of basestring (python3 compatibility)
new 9929b37 FIX Excluding WhiteKernel from one unit-test
new 1f7deb7 TST Extending testing of multi-class GP
new 0de854a DOC Updated documentation of Gaussian process classifier
new f6d8686 ADD Example illustrating Gaussian process classifier on iris dataset
new de3889d TST Fixing some GP-releated issues in estimator checks
new 92a6354 TST Fix GPC and GPR such that all tests are ok
new 768c81f TST Further GP-related fixes
new 59d754b FIX Hiding method decision_function in GaussianProcessClassifier
new d42aa19 TST GaussianProcessRegressor added to MULTI_OUTPUT estimators
new adc7451 PEP8 Fixing PEP8 issues in gaussian_process package
new c57aa64 ENH X_train_ can be copied if requested
new 83bc6c2 ENH Adding max_iter parameter for Newton iteration in GPC
new 9b86186 COS Removing keyword magic from PairwiseKernel
new 032c2a7 FIX Added missing import of ConstantKernel in gpc.py
new 51df6e3 TST Excluded GPC from test_non_transformer_estimators_n_iter()
new 68be69f MISC Deprecating legacy GP implementation
new 34506ad COS Making BinaryGaussianProcessClassifierLaplace private
new 5c2725b DOC Cleaning up documenation of legacy GPs
new 992b8c4 DOC Updating GPC XOR example (showing also results for DotProduct kernel)
new 03718f8 FIX Remove BinaryGaussianProcessClassifierLaplace from packages __all__ list
new 0c255e6 FIX Undoing regression_model and correlation_model deprecation
new a6d564b TST Testing n_jobs option of GaussianProcessClassifier
new d34b7dd REF Realizing multi-class GPC bei delegating to OneVsRest or OneVsOne
new 7f7455c DOC Updating documentation of multi-class GPC
new c6db24e REF Several small changes based on @eickenberg's suggestions
new d0eb99b ENH More efficient computation of K_gradient for anisotropic Matern kernel
new 65555b3 REF Renaming sigma_squared_n to alpha (consistency with Ridge)
new d344fa6 ENH Full support of (deep) get_params() and set_params() in GP kernels
new 35aace4 DOC Revising GP documentation based on @kastnerkyle comments
new 4c40f64 FIX theta_vars correctly supported in KernelOperators
new 3f1a0f1 TST Adding two unittests for testing GP kernels
new eb54b49 REF Removing theta_vars attribute from kernels and using Hyperparameter instances instead
new c85177e DEL Removing bounds.setter in kernels.py
new e87fad3 REF Renaming max_iter to max_iter_predict in GaussianProcessClassifier
new 1813322 DOC Documenting GP kernel API
new 4772192 DOC Fixing some minor issues in narrative doc of GPs
new f76e64c FIX Fix failing tests (doctest, order of hyperparameters, pairwise_kernels)
new e6f0284 FIX python3 compatibility in doctest
new 55d26aa FIX Fixing test_kernel_theta
new 98e8093 FIX Further python3 related fixes
new 266b9e9 FIX Fixing a python2.6-related issue
new d21b648 FIX Changing bounds in GP doctest
new 1c4b23f MISC copy_X_train defaults to True in GPR and GPC
new 213a6be FIX Fix message of ValueError for wrong shape of alpha in GPR
new 2dd1f28 PEP8 Making pep8 and pyflakes happy
new e2a340a REF More meaningful names for hyperparameters of GP kernels
new 8f77ced MISC Changing default for copy_X_train to True in GaussianProcessClassifier
new c3a41a3 FIX String comparison via equality and not identity in Hyperparameter.__init__
new 3957fc3 ENH GPR.log_marginal_likelihood() returns the current log-likelihood if no theta vector is provided
new 2649598 FIX Enforcing y to be numeric in GPR and fixing python3 issue with maps
new edc4a65 ADD Mixins for normalized and stationary kernels
new cea3f29 TST test_lml_precomputed() checks only for equality in first 7 digits
new b663f3f MAINT: deprecation warns from StandardScaler std_
new 5c697ba Merge pull request #5466 from glouppe/gp_new
new 2f15969 DOC: added entry for new GP implementation
new b910ab8 ENH add pomegranate to related
new 74cfca8 Merge pull request #5452 from MaryanMorel/issue_5313
new e3afc0e MAINT move custom error/warning classes into sklearn.exceptions
new 09f0fa7 DOC/SPHINX Add template for classes which don't have init (Exception classes)
new e19a981 MAINT Deprecated the UndefinedMetricWarning at sklearn.metrics.base
new 61ae8d5 MAINT move deprecated into deprecation.py
new f6b85d9 Merge pull request #5445 from tomMoral/devTom
new b10b9b3 debian/patches - deb_disable_google_anals to disable google tracking
new ef5a5c4 Improve travis config file (for :#5455)
new b459df8 BF: use systemwide underscore.js
new c0d5998 BF: remove minimized jquery.js
new 24f6015 Merge branch 'dfsg' into debian
new 857cb09 FIX/ENH Make the moved class resilient to the deprecation patching
new f24d94a remove test for self.scale_
new 69a09f6 Merge pull request #5468 from jmschrei/pomegranate
new 056b029 doc: fix typo
new 9758e25 FIX: gaussian_process will be deprecated in 0.19, not 0.18
new d271708 Merge pull request #5475 from glouppe/gp-deprecation
new bc15ceb Add test before miniconda download
new d4e9d79 Merge pull request #4826 from rvraghav93/exceptions
new 627e262 fontsize legend parameter is not available for matplotlib < 1.3
new e4332ed DOC Add description for UndefinedMetricWarning
new abc032c Merge pull request #5479 from pletelli/fix_circleci_build
new 53bf94c Merge pull request #5478 from rvraghav93/description_undefinedmetricwarning
new eaf97bf colorbar doesn't handle label parameter
new 74c09e5 Merge pull request #5480 from pletelli/gpc_plot
new baf4ade Update my website on whats_new.rst
new 904c667 MAINT: use xrange from six
new 18f4a29 ENH: fixes issue #5484
new 9865e9a Merge pull request #5486 from jakevdp/xrange-fix
new 17eb0b6 WIP commit - add ls and print
new ca0c84c Test caching strategy for travis
new b7acd76 Corrected macro ROC in example plot_roc
new b066e37 Remove testvenv from cache
new 92068ef #5322: Wrote check_supervised_y_no_nan in estimator_checks
new b4e746b Resolving rebase conflicts on forest.py
new 7745319 #5322: Added check for DecisionTreeRegressor
new b1a1aa8 #5322: Resolving errors for SVR and NuSVR
new a5860a1 #5322: Fixed build for tree failures, fixing estimator_checks.check_estimator
new 6df1fe2 #5322: Added check for MultiTaskElasticNet and MultiTaskLasso
new d62e316 #5322: Resolving Random Forest build errors (bad input shape)
new 34c8399 #5322: Fixing the fix - now RFs should be okay
new 7f82026 #5322: Fixing test in test_estimator_checks.test_check_estimator
new ef4faf6 #5322: check_supervised_y_no_nan raises error when error message is incorrect
new 011dcd2 #5322: Fixed python3 build
new c657d77 #5322: Regression test for test_check_estimator
new eea5ba3 #5322: Made error message in check_supervised_y_no_nan more helpful
new fffa98a MAINT Remove deprecated stuff that will be removed in 0.18
new 52d0c89 deleted a commented line (line 1464 in sklearn/metrics/classification.py)
new fe1f890 slight tune up for license file -- BSD-2
new 235f256 - deb_nopaypal and deb_no_online_jquery
new 3bfbe79 #5322: Making check_supervised_y_no_nan deterministic
new 52a6acc #5322: Addressing @MechCoder's changes
new 7b3da77 #5322: Removing unused ConvergenceWarning import in svm/base.py
new f634bc2 Merge pull request #5438 from aabadie/datasets_doc
new 8b78293 Merge pull request #5494 from dohmatob/minor-issues
new 6a88fb6 Merge pull request #5319 from nicodv/patch-1
new 5db2adf MAINT Removed deprecated stuff.
new 62633f7 Addressed comments on PR #5451
new 95d4e23 Merge pull request #5436 from Mbompr/plot-roc-example-4976
new 4bcfedb FIX: GaussianProcess will be deprecated in 0.20, not 0.19
new bad3dd6 Merge pull request #5451 from zermelozf/deprecated-stuff
new b18f295 randomized_svd: power iter, normalization, benchmark
new 718a7df Merge pull request #5449 from Jeffrey04/5433-MaxAbsScaler-1-row-csr-fix
new 7a2e2d8 Tweaking the legend of GP plot in plot_compare_gpr_krr.py
new 0d340b4 MAINT disable circle ci on 0.17.X
new cd5688a MAINT Removed deprecated stuff.
new 3382733 Addressed comments on PR #5451
new 76e0273 Deprecate residues_ in LinearRegression
new 00996a2 FIX MaxAbsScaler on sparse matrices with 1 row
new 0cb93b0 Merge pull request #5141 from giorgiop/power-iter-randomized-svd
new 08b7253 Update deprecation message in metrics/regression.py (use uniform_average as default multioutput parameter of r2_score function after 0.19)
new 888a184 Updating deprecation message in metrics.py: confirm deprecation starting from 0.16 and removal after 0.18
new 1eb9bed COSMIT nicer output from NMF with verbose > 0
new 8e0f337 removing sklearn/metrics/metrics.py
new ee0fd9a Merge pull request #5446 from deepcharles/charles1
new 3697d75 MAINT/TST: public export of non_negative_factorization
new 65aee0c Merge pull request #5469 from rvraghav93/zero_gamma
new 7c69c55 Merge pull request #5457 from aabadie/remove_deprecation_metrics_second_pass
new ebf8d3a Merge pull request #5456 from aabadie/remove_deprecation_metrics
new b6a5ed2 Merge pull request #5465 from massil94/dev-massil
new f6d605f Implement decision path in tree
new 392ef50 DOC add an example highlighting the tree structure
new 317281b take glouppe comment
new 4d9a955 DOC make visualizatoin aware of the tree depth
new bc02bd5 ENH rename decision_paths to decision_path
new be21b6a Add an hardcoded test
new 405c717 typo
new 7d4755e Add a decision_path function to forest estimator
new c9888a6 Take into account glouppe comments
new ec8fbef Take into account amueller comments
new 4d0ba3c wording
new c450751 Added documentation about y nan handling in check_X_y
new d439dc4 FIX class_weight in LogisticRegression and LogisticRegressionCV
new 7ad90f5 Rename since we don't plot anything
new 290e0ea #5322: Changed check_supervised_y_no_nan to not seed global
new f45f260 DOC versionadded randomized_svd
new 3c988d5 Merge pull request #5512 from giorgiop/randomized-svd-versionadded
new 1f48814 #5322: Using multioutput_estimator_convert_y_2d in check_supervised_y_no_nan
new f725485 #5322: Small change to estimator_check.py
new 587315e (WIP) Added Multi-layer perceptron (MLP)
new b52bae4 refactor mlp optimization methods into _fit_lbfgs and _fit_sgd, add Ctrl+C stop option for SGD
new cb4c935 minor fixes to bench_mnist.
new ee071e0 FIX partial fit test for MLP
new 3c8210f ENH better 'constant' learning rate schedule
new 3891af8 iterate, improve. Nesterov's momentum.
new bde2270 fix log_loss for multiclass case and add binary_log_loss for multilabel case
new 7fe71c1 as_float_array removed
new 744d161 Merge pull request #5431 from hlin117/nan-targets
new 861ac13 Merge pull request #5519 from ishank08/imp_transform
new 3fbd3b9 Take into account ngoix comment
new 5d3bb93 Merge pull request #5008 from TomDLT/logistic_multiclass
new 289c0a3 FIX class_weight in LogisticRegression and LogisticRegressionCV
new 5a58e56 Merge pull request #5487 from arjoly/example-node
new 1c7168d Fix fit_transform, stability issue and scale issue in PLS
new 8888a98 Fix fit_transform, stability issue and scale issue in PLS
new f63ba1d MAINT use super rather than calls to base class methods
new a6c2a17 undo change by @arthurmensch that was probably accidental ;)
new 4eee24a Merge pull request #5517 from lesteve/replace-base-class-method-calls-by-super
new 824115a Added colorblind compatibility to classification
new 47a8ffa Added colorblind compatibility
new efe8399 update whats_new for #5008
new 4f7e5ff Fixed typo..
new 80e22b3 Patch liblinear for sample_weights in LogisticRegression(and CV)
new 41cbfde Add check for sample_weights
new 9d8d7e4 Replace GETC to SAMPLE_WEIGHT
new 8b990c3 Merge pull request #5543 from ltiao/patch-1
new 6cb51b2 Initialize ARPACK eigsh
new 9f8e062 fix docs and doctests for KernelPCA
new 8ff339e Update test_utils.py
new 1863895 Merge pull request #5506 from RachitKansal/my-work
new 2492dd0 Merge pull request #5012 from yanlend/patch-2
new dbb418b Typo on doc for default value of solver for lda.LDA
new 31ab442 fixed typo in LDA
new d4532e2 Merge pull request #5544 from Mbompr/check-PR-5417
new 3fd1473 Added colorblind compatibility
new 0ff1fe5 Merge pull request #5541 from johannah/module-classification-colorblind
new 1c5d6d7 Merge pull request #5274 from MechCoder/liblinear_samples_weights
new b102d90 MISC : Y->y
new c9700e2 Changed from plot to scatter for consistency
new 38c78ea Merge pull request #5537 from johannah/module-linear-colorblind
new 8aa9c19 Merge pull request #5467 from tomMoral/travis-ci
new 844fbae added colorblind compatibility
new 8108bdb Made plots colorblind friendly
new e8a2e27 Test edit.
new e82bca5 Removing test edit.
new a03333f Moved Multi-task Lasso to immediately follow Lasso
new a614a5c Edits to intro paragraph of Multi-task Elastic net.
new 61f5313 Edits to math paragraph, added reference to MultiTaskElasticNetCV.
new 6c455ae Corrected reference to "lasso" to "ElasticNet".
new 29b4931 Correct for Frobenius norm
new 0b00e2b Corrected {}
new 07a9b8d Corrected MultiTaskLasso objective function and moved some related definitions there as suggested by agramfort.
new a8880f1 Fixed typos: whitespace after '.', `` around inline code.
new 93c3033 nitpicks
new 55c68ef Added colorblind compatibility
new d53772d FIX serialization bug in the implementation of the pickle protocol
new d398034 BF: FIX OvR decision_function_shape in SVC
new 7fc96a0 ENH don't unpickle capacity, but infer it
new 5427e08 BF: FIX OvR decision_function_shape in SVC
new a1844be DOC: added <what's new> entry regarding BF
new 409c888 Raise appropriate error if y is sparse
new 3f8743f Main Commits - Major --------------------
new 917bacb Finish up mlp_refactoring and squash previous commits
new efb0179 Merge pull request #5560 from arjoly/serialization-bug-tree
new 9e42250 HOTFIX for incorrect cast in liblinear.pyx
new f48d0a0 Added colorblind capability
new 8343081 Added colorblind compatibility
new 965a715 Merge pull request #5214 from glennq/mlp_refactoring
new 0ba5c24 Update what's new
new 1ce55d2 Adding shield for circleCI in README
new d15f322 Added colorblind compatibility
new b255056 Merge pull request #5565 from MechCoder/hot_fix
new 0a20a37 doc fix lates in softmax formula
new c38505d Merge pull request #5550 from johannah/module-text-colorblind
new 34a97ec Merge pull request #5576 from johannah/module-mixture-colorblind
new a94ffde DOC: fix what's new alignment
new f69f895 remove _balance_weights
new 8878088 FIX inspect.argspect is deprecated; use signature
new 6a0b6df Merge pull request #5579 from rvraghav93/inspect_fix
new 06181b4 DOC: only 'sag' supports sparse input in Ridge now
new 108d36a DOC clearer what's new for model_selection
new 34d2027 Merge pull request #5586 from giorgiop/patch-1
new a75eb63 iforest
new e2a53f0 Merge pull request #5582 from gclenaghan/remove_balanced_weights
new 420e9b0 Merge pull request #5587 from jnothman/model_selection-whatsnew
new 5c8855d Merge pull request #4163 from ngoix/iforest
new c99f5db doc: added entry for isolation forest
new fea218e In tree, min_samples_split and min_samples_leaf now accept float number as percentage.
new a90dc38 Merge pull request #5546 from johannah/module-svm-colorblind
new 58beae8 Merge pull request #5573 from johannah/module-model-colorblind
new a20e37a Update what's new
new 6741ec7 Merge pull request #5552 from johannah/module-tree-colorblind
new 84346b8 Merge pull request #5556 from johannah/module-feature-colorblind
new 07c8c58 Merge pull request #5575 from johannah/module-other-colorblind
new e292ac0 FIX: pass random_state to parameter distributions
new e30af3c Merge pull request #5590 from glouppe/param-sampler-rng
new 16798e3 s/labe/label
new c81164c corrected typo
new d2d00d5 Merge pull request #5591 from antialias/master
new d591ac4 Merge pull request #5592 from antialias/correct-typo
new d01dd2f English language changes to IsolationForest documentation
new be2499e The docs have moved
new 6541f3f Merge pull request #5594 from betatim/isolationtree-docs
new d9f3277 Merge pull request #5531 from arjoly/float-min_samples
new adf866c Replaced fontsize legend parameter
new 0c29002 Added colorblind compatibility
new 9fe25df Merge pull request #5597 from vortex-ape/matplotlib_issue
new 77156bf RF: use pandas rules approach to shuffle things into -lib etc
new 9671015 adjusted changelog, closes statements, point to debian branch for Vcs-Git
new c365ab9 Pushing doc to github.io
new ca724f5 boost debian/compat, fix .installs etc
new 4e6829c Corrected macro ROC in example plot_roc
new ff1ef8f Remove minimized js files
new 6915f7c Merge branch 'dfsg' into debian
new dcb9b59 also use non-minimized versions for jquery scripts
new b52b6cb added maphilight copyright, updated years for the others
new 918005f added overrides for the maphilight source
new e87f203 Merge commit '0.17b1-14-g4e6829c' into dfsg
new a715a9f Merge branch 'dfsg' into debian
new b538348 updated changelog
new 8c44bb6 REFACTOR: fixed huge code duplication in _RidgeGCV
new 44c8519 Fix of issue #5601
new 8b1e27e DOC: broken links
new ec7d1db Merge pull request #5607 from giorgiop/doc-broken-links
new 8497bf3 Merge pull request #5577 from waterponey/circleCI_doc
new f8ecb8f MAINT Cython will soon be a build requirement
new 6c56b25 Merge pull request #5574 from johannah/module-decomposition-colorblind
new 28d5345 MAINT: remove unused code from TSNE
new b9b32db MAINT make nosetests verbose output more informative
new e3a95bf Merge pull request #5613 from jakevdp/tsne-cleanup
new d46b8ab change doc outlier_detection
new f67e911 DOC Modify documentation/examples for the new model_selection module
new 425407b Merge pull request #5617 from ngoix/doc-iforest
new 105326d FIX increase tolerance of class weight check for OS X
new 53228c9 List creation could be litteral
new bd87003 Dictionary creation could be rewritten as litteral
new 35ba568 Chained compararisons can be simplified
new efe93d4 MAINT update joblib to 0.9.3
new a4f125b FIX decrease tolerance in test_logistic for appveyor failure
new cdeb5ca Merge pull request #5635 from ogrisel/ogrisel-joblib-0.9.3
new 4b1489c Merge pull request #5633 from sieben/list_litteral
new 0b24027 Merge pull request #5632 from sieben/chain_comparaisons
new ee53acc Merge pull request #5629 from sieben/dict_litteral
new 99530a3 Merge pull request #5566 from rvraghav93/mod_sel_doc
new 95c54b2 Addressed comments on PR #5451
new 79c86e9 Deprecate residues_ in LinearRegression
new 68f4965 FIX MaxAbsScaler on sparse matrices with 1 row
new b1af4d5 FIX class_weight in LogisticRegression and LogisticRegressionCV
new 2bb4d09 Fix fit_transform, stability issue and scale issue in PLS
new d052749 BF: FIX OvR decision_function_shape in SVC
new 53d9bbb Corrected macro ROC in example plot_roc
new 339c59b DOC: only 'sag' supports sparse input in Ridge now
new 3ac4719 Fix of issue #5601
new 8400e95 undo change by @arthurmensch that was probably accidental ;)
new f35a3ef MAINT update joblib to 0.9.3
new 9a0c421 fix rounding, adjust tests for 32 bit export_graphviz
new c95ee28 remove useless pass
new 0c36694 Merge pull request #5645 from sieben/useless_pass
new 598f1cb Fix formatting issue in tree.rst
new f76d9c4 Merge pull request #5646 from mscherer/fix_doc
new 45c2356 Redirecting to open issues
new 90378af Merge pull request #5636 from TomDLT/appveyor_logistic
new e478708 adding sklearn data home
new 0f6535d Fixed user guide link in ransac.py #5621
new c0e816b Default mutable argument
new 23f2891 Merge pull request #5648 from sieben/default_argument_mutable
new c60f72b Merge pull request #5647 from sieben/patch-1
new f8eb351 Useless trailing semicolon
new 31f73a6 Simplify chain comparaison
new 2199e50 Migrate examples to avoid deprecated module
new 47a07c8 Merge pull request #5652 from sieben/trailing_semicolon
new 4a9ba05 Merge pull request #5655 from sieben/deprecated
new bc142c8 Merge pull request #5650 from shawpan/fix-user-guide-link-ransac#5621
new bac5e39 Merge pull request #5626 from ogrisel/fix-osx-logistic-class-weights
new 5b602ae FIX decrease tolerance in test_logistic for appveyor failure
new 6f69e83 FIX increase tolerance of class weight check for OS X
new c37c938 Update cross_validation.py
new 3b7ad17 DOC polish documentation of output types of train_test_split, add change to 0.16 whatsnew.
new 3377174 DOC: Add defaults for oob_score in docstrings
new 3a3617b Merge pull request #5659 from ElDeveloper/doc-fix
new 48a2329 Merge pull request #5644 from trevorstephens/export_gviz_32bit_fix
new ce861b4 fix rounding, adjust tests for 32 bit export_graphviz
new 9cc3b95 TST make tsne tests 32bit save
new e3ff540 COSMIT don't use the deprecated residuals property of ols
new e232ad6 TST catch warnings in tests that the solver is changed to SAG in the sparse case.
new 95f5e3a TST close /dev/null in the theil sen tests.
new ddadf9c Merge pull request #5658 from amueller/train_test_split_conserves_type_doc
new ec0a1c8 Merge pull request #5667 from amueller/theilsen_test_closes_dev_null
new f4f8b99 Merge pull request #5665 from amueller/no_deprecated_residuals
new faa6848 Merge pull request #5654 from sieben/simplify_chain_comparaisons
new 651ade0 Remove cython warnings
new 9717a81 Make clear that GMM is a clustering algorithm
new efadbd3 Calculate max_depth when max_samples is known
new 56b51de DOC+ENH: RidgeClassifier doesn not support multi-label
new b1f3ddb Merge pull request #5657 from sieben/remove_cython_warnings
new d29562e Merge pull request #5666 from amueller/sag_sparse_warnings
new 9b0dd53 Fix docs and remove duplicated checks
new e37c69f Comment on weird initialisation for scoping reasons
new 0e55532 FIX port LDA covariance fix to decomposition module
new 1321667 FIX we shouldn't warn the user if the solver is auto
new 83313de Merge pull request #5661 from amueller/tsne_test_32bit
new 85fe5a0 TST make tsne tests 32bit save
new 70b637a TST catch warnings in tests that the solver is changed to SAG in the sparse case.
new edd2ddf Remove "clustering" from headings
new 00816a6 DOC polish documentation of output types of train_test_split, add change to 0.16 whatsnew.
new 52b445c Unify documentation in GMM module
new c9769dd COSMIT don't use the deprecated residuals property of ols
new c26fbf1 TST close /dev/null in the theil sen tests.
new 86974f8 Rename example to plot_gmm_covariances.py
new 2a98fc6 Don't use floats to index numpy arrays
new 89f8a51 OneHotEncoder warn fix
new ca88f91 Merge pull request #5673 from amueller/sag_dont_warn_on_auto
new c242c29 MAINT catch warning for deprecated allow_list option to train_test_split
new 601d43a FIX we shouldn't warn the user if the solver is auto
new 1e23805 DOC: Correct confusing docs of n_values in OneHotEncoder
new 776e53b skip unstable tests on 32bit platform
new 866c937 Merge pull request #5637 from MechCoder/one_hot_enc_doc
new 4bd1286 COSMIT missing whitespace in error message
new 13cc60a Merge pull request #5572 from dohmatob/fix-5562
new 1f650db Test for max_depth calculation and re-adding max_samples_ property
new ee53e52 DOC - neural network module only links to unsupervised, not supervised docs
new 149aade Fixed string comparison on arrays in new Gaussian process described in issue #5663
new b9fdeb0 shortened if condition based on glouppe's suggestion
new 2653833 DOC some fixes to the doc build.
new 3ab249e added warning tests for test_roc_curve method
new f7e886a Merge pull request #5682 from trevorstephens/OneHotEncoder_warn_fix
new 0188e68 Merge pull request #5684 from amueller/deprecated_float_indexing_rfe
new 6ccdbaf REL Make 0.17 website changes for release.
new 912e005 Don't use floats to index numpy arrays
new 9eb888c OneHotEncoder warn fix
new 61df16e fix 1 sparse row scaling in robust scaler
new e2eba1f Merge pull request #5688 from amueller/robust_scaler_1column_fix
new bb71d2d fix 1 sparse row scaling in robust scaler
new 1774f3f fixed missing import from too much cherry picking.
new 550b228 FIX don't compare things that can be arrays to strings.
new f9b92cb Merge pull request #5668 from amueller/multioutput_string_comparison
new 88e86f3 FIX don't compare things that can be arrays to strings.
new c55dc89 Merge pull request #5695 from amueller/doc_fixes
new 22fc441 Merge pull request #5680 from amueller/lda_fix_refactoring
new 2f2adcc Add missing whatsnew entries for 0.17
new 2df6bfa DOC some fixes to the doc build.
new 27dd394 FIX port LDA covariance fix to decomposition module
new 36acda2 Merge pull request #5708 from amueller/0.17_whatsnew
new 053a1e6 Add missing whatsnew entries for 0.17
new 468b4c1 Version Added for Robust Scaler
new 2249daa Version added for all new classes
new d3a8f85 Added more documentation of version adds
new f2e3541 Added more versions of 0.17
new c6037e7 Ensure that n_nonzero_coefs is an int
new b4adafe Merge pull request #5698 from gclenaghan/fix_5687
new bc85b78 Test max_samples_ attribute, set max_depth in BaseBagging
new 986fb60 C file removal + cython build + Travis build cache
new db3eca2 DOC Add the learning curve documentation to model_selection.rst
new 213a24c Merge pull request #5700 from bhargav/neural-network-documentation
new 0bdd788 Ensure that n_nonzero_coefs is an int
new 417ee28 DOC Typo fixes in whatsnew. Thanks @jnothman
new 42f685e DOC Typo fixes in whatsnew. Thanks @jnothman
new 7af49df Fix doc string and number vs string ordering
new 41d0f1f split installation into simple and advanced part
new 7d574ad Merge pull request #5511 from KamalakerDadi/sphinx_version_added
new f038915 Version added for all new classes and parameters
new cdca3cf Update copyright year in the doc footer (2014 → 2015)
new 53bc02a Merge pull request #5727 from Naereen/patch-2
new e3bdff6 MAINT Don't use deprecated 1d X (or deprecated matplotlib stuff) in examples.
new 21a9994 DOC some fixes to docbuild
new 812c3a4 REL add 0.17.0 release to news
new a4122f0 More doc fixes. Latex builds again.
new 77665e3 removes extra spaces from error message
new 8192cea Merge pull request #5731 from ClimbsRocks/patch-2
new f084cb8 skip doctests on 32 bits
new de3a527 Merge pull request #5692 from amueller/skip_32_bit_tests
new 9334274 skip unstable tests and doctests on 32bit platform
new 0c7812a Add subpackage _build_utils
new 7c35640 Merge pull request #5257 from amueller/installation_instructions
new 37d18ce split installation into simple and advanced part
new 95d91c9 Merge pull request #5714 from rvraghav93/learning_curve_doc
new 45ef71f MAINT version string for 0.17. D'OH
new da4f480 Fix import of reload for python 3.3
new 219fe10 BUG: use pre-parsed scipy version
new c957249 Fix link to dev docs.
new 6c3b68d Merge pull request #5740 from perimosocordiae/patch-2
new 9cf5b52 DOC fix link to pdf documentation
new 1e1efb5 DOC fix link to pdf documentation
new 8bae9d9 Merge commit '0.17b1-14-g4e6829c' into releases
new a04972b Merge tag '0.17' into releases
new f9a215c Merge branch 'releases' into dfsg
new 8bec97c Merge branch 'dfsg' into debian
new b17b4a4 changelog
new 2366b5c debian/patches/deb_no_tinyclues_external_image - to not link to external images inthe documentation (privacy concern)
new 77a8a18 DOC: fix what's new alignment
new 82fb053 BF: for building arch packages with no arch indep ones, find should be conditioned
new c024978 Improve wording for best choice of calibration method
new 886166e Proper fix for issue #5694: added [RW2006]'s corresponding reference with link to the book's website and PDF version available online.
new 58d2e29 Merge pull request #5749 from ethanwhite/calibration-wording
new 34f9367 grammatical fix in tutorial.rst under basic category
new de5bc4a MNT 0.19 --> 0.20; As the model_selection changes will be released in 0.18 only
new edb344a Reduced nb of characters per line.
new 5339049 Merge pull request #5753 from staranjeet/grammatical-fix
new d963df4 DOC - Minor documentation fixes - Fixes #5770 and #5761
new 6f6ec7f Reference correct variable
new e5f71e7 Merge pull request #5742 from amueller/pdf_doc_link
new ae8db69 Fix import of reload for python 3.3
new b767117 Use six to detect integral numbers
new 04ca448 Typo.
new 253e387 Merge pull request #5755 from rvraghav93/fix_depr_version
new 299c275 BUG :#5782 check_classification_targets returns y instead of y_type
new 1d16ec4 tests sample_weights linearreg, ridge
new bc3c3db #5782 added test case for check_classification_targets()
new a5d6144 Merge pull request #5526 from giorgiop/fix-weight-linearregression
new 889e2d4 Merge pull request #5678 from betatim/no-warning-iforest
new f49a558 Merge pull request #5492 from arthurmensch/remove_cython
new 3fc29cd nose-timer added to CI
new 6e87813 Scaling a sparse matrix along axis 0 should accept a csc by default
new 7cb9a23 Merge pull request #5733 from giorgiop/trevis-with-timer
new 8a391be added check for type in test_check_classification_targets
new ea7c5c3 fixed memory / efficiency issue in DummyClassifier(strategy='most_frequent')
new ce90ccb Merge pull request #5796 from max-moroz/dummy_classifier_memory_efficiency
new fe4065f Added a related PMML serialization project
new 654bddd FIX Explicitly specify the plot colors for each curve
new c6f586d Fixed transformation of test set via RobustScaler in plot_robust_scaling.py
new 8da0827 Distinguished more clearly between two PMML serialization projects
new c6d6170 #5766: Removed unused code from plotting tutorial
new a161f2c predictions are float but np.bincount can only be used on integers, thus an error comes out when using it
new b065099 Merge pull request #5801 from hlin117/pca-plotting
new 81e8ef7 Explained implementation details
new d21a297 Merge pull request #5798 from vruusmann/patch-1
new 10445f5 Removed exit() call in topic extraction example
new 1fe8014 Update related_projects.rst
new 5bba3d0 Merge pull request #5806 from vighneshbirodkar/nmf_fix
new d644e8e Merge pull request #5791 from MechCoder/scale_csc
new 0289da4 Reduced size of line 167.
new a9858b1 debian/copyright - extended list of copyrights/licenses (Thanks Thorsten Alteholz for review)
new d44f939 Merge pull request #5752 from hrjn/fix-5694-proper
new 0820731 Merge pull request #5783 from varun-kr/check_classification_bug
new 6646e5d Merge pull request #5809 from lmcinnes/doc_related_hdbscan
new 5fa8b32 Merge pull request #5754 from rvraghav93/deprecated_mpl_15
new 3c1e900 #5751: Adding explained_variance_ and clarification about components_ to docstring
new 7fd4df8 Merge pull request #5819 from hlin117/pca-docs
new a20b0eb Merge pull request #5802 from alvarouc/master
new 3477df2 added warm_start flag to example
new 3aeacc1 added cython to requirements in documentation
new 2c298d0 add docs
new 7b09113 edited cython to requirements in documentation
new 09c3fbf Merge pull request #5771 from bhargav/minor-doc-fixes
new 359432c edited cython requirement in README making obvious that it is for dev
new 14a124b Merge branch 'dev_requirement_documentation' of https://github.com/hugobowne/scikit-learn into dev_requirement_documentation
new 8867e83 edited bleeding edge install instructions to include cython
new 1f553b0 #5840: Adding my name to one of the bug fixes
new cb88239 Merge pull request #5846 from hlin117/whatsnew
new 998848a fix for #5725 (makes sure numpy array is not compared to string, which will fail in future versions of numpy)
new 34fda74 minor grammatical fix
new 6ec1c38 Change super call to pass presort value to super
new 19f109c The presort parameter is never acutally used
new 221e7ce Merge branch 'master' of github.com:scikit-learn/scikit-learn into gradientboost
new 1b72433 Fix grammar in rbm docstring
new 8558696 Merge pull request #5860 from pwgerman/rbm_doc_hidden_units
new 2738d59 fix for missing classes found in y #4327
new 54fa7aa Adding email to the mailmap
new ad05d3d Merge pull request #5865 from hlin117/mailmap
new 2900c5a Merge pull request #5855 from pieteradejong/doc-edits-transforms
new bc90ba0 Merge pull request #5831 from codevig/mybranch
new c873d51 DOC: clarify terms in documentation of Spectral Clustering
new 2d7b5cf DOC: further clarify spectral clustering doc
new bab2233 Add MLP to what's new
new 9b5cf0f #5877 fix confusing n_samples and n_features
new 4d2fe36 dict.has_key() deprecated
new 0101e2c Merge pull request #5885 from sieben/has_key_deprecated
new eb23f70 Update README.rst
new f59dbe7 Update advanced_installation.rst
new bf00574 Merge pull request #5834 from hugobowne/dev_requirement_documentation
new 55c3a3b REL add 0.17.0 release to news, fix versions in menu
new a05bc8d Merge pull request #5858 from mcculloh/gradientboost
new 845a7a1 MAINT Use with to handle file
new fa45329 minor grammatical fix
new a72d138 Merge pull request #5828 from mth4saurabh/add-mlp-to-changelog
new 273f1cc Merge pull request #5895 from toastedcornflakes/master
new fb123ed More doc fixes. Latex builds again.
new 0159bc4 Merge pull request #5728 from amueller/more_doc_fixes
new 381315d Merge pull request #5886 from sieben/with_statement
new 79c7583 Add user guide link to lda
new 75d9cea Update text.py
new e91dea3 Merge pull request #5896 from fayeshine/fayeshine-patch-1
new 29e7e39 update ambiguous out of bag generalization terminology - from 'error' to 'accuracy' or 'the R^2...'.
new 349eaca DOC: fix shape lambda_ attribute in BayesianRidge
new 6325173 Merge pull request #5913 from mekman/doc_fix_minor2
new 8991bd9 website: added NYU funding to front-page footer and the about section.
new e17c4de Merge pull request #5910 from amueller/nyu_funding
new b043d64 DOC: Comment better the importance of the mask
new 91971be add .tags in gitignore
new c8fb696 Merge pull request #5850 from JeremyNixon/jeremy-feature
new f0f5646 Merge pull request #5892 from mth4saurabh/add-user-guide-link-to-lda
new b59b0e1 Merge pull request #5882 from LeiG/fix_confusing_n_samples
new 48ad7aa replaced matplotlib function finance.quotes_historical_yahoo() (deprecated as of matplotlib 1.4.x) with finance.quotes_historical_yahoo_ochl(), enabling the example to work for the latest version of matplotlib (1.5.0).
new 335536c Merge pull request #5919 from nelson-liu/fix_stock_example
new 1606c90 check_is_fitted validation for transform() and inverse_transform()
new f63ac6e Merge pull request #5936 from olologin/MultiLabelBinarizer_check_is_fitted
new 8a6be6b Inconsistent indentation
new 72d72bf LDA: explained_variance_ratio_ can be found using svd solver
new 114920e edited docstring for clarity regarding the naming of the pipeline components.
new ba2e638 Fix coveralls report sending
new 7602a3f It's better to fix a comment
new ff31d19 repaired dead link
new 6f7e351 residual sum of squares should be computed by summing the squared differences instead of taking the mean.
new 50dfa86 change comment, printed comment, and code behavior to all reflect computation of mean squared error
new 62b48b9 Merge pull request #5954 from KjellSwedin/correct_LinearRegression_example
new 9f136ff ENH add multinomial SAG solver for LogisticRegression
new 43e5454 Merge pull request #5251 from TomDLT/sag_multi
new 54b832e Add link to multiisotonic
new f8f0d2d Merge pull request #5962 from alexfields/master
new cecb561 Merge pull request #5944 from nelson-liu/fix_make_pipeline_doc
new 108a0c2 Added default gamma info for laplacian_kernel and rbf_kernel
new 159e51e Added more gamma info for sigmoid, polynomial kernels
new 0340c75 Changed orders of docstring descriptions for polynomial_kernel
new 691e39d Merge pull request #5966 from hlin117/pairwise-docs
new 52caed6 Merge pull request #5949 from olologin/plot_svm_anova.py-and-"all-CPU's"
new 331ca4a debian/control - recommend python3- versions of packages for python3-sklearn
new d13f519 Parallelize embarrassingly parallel loop in RFECV.fit
new 4cac986 Merge pull request #5784 from MechCoder/parallel_rfecv
new 8d1ed03 removed the doc line 'Only applies if analyzer == 'word'' from CountVectorizer analyzer'
new fe4dbe3 Fix Kernel PCA docstring to reflect how remove_zero_eig defaults to false
new 95940b5 Merge pull request #5980 from dshieble/Odd_docstring_for_CountVectorizer_analyzer
new fdf6648 Merge pull request #5634 from sieben/space_indentation
new 0e5c194 fix link to contributing in website drop-down
new b1ecb7f fix link to contributing in website drop-down
new eb48371 Merge pull request #5829 from joshuacook/repair_link
new 21cf29c Fixed unit test in sklearn/tree/tests/test_tree.py.
new 4d1a466 Merge pull request #5990 from jblackburne/fix-test_no_sparse_y_support
new 8810716 adding missing 0.16 doc link and removing broken support links
new 5c0ea1e Merge pull request #5923 from fabioticconi/add_link
new f2ac3db adding missing 0.16 doc link and removing broken support links
new a680043 Merge pull request #5800 from fabioticconi/patch-1
new 05d2161 Merge pull request #5890 from amueller/post_release_dev_doc_fixes
new 89804c4 adding 0.17 support link
new 34ebbd3 Merge pull request #5994 from fabioticconi/add_link
new 1680b05 Merge pull request #5925 from lesteve/fix-coveralls
new 9f18b94 Merge pull request #5981 from seales/master
new 5b1aca0 MAINT Don't use deprecated 1d X (or deprecated matplotlib stuff) in examples.
new 3bacb19 Merge pull request #5942 from hlin117/lda_svd
new c33fa15 Merge pull request #5773 from amueller/python3.3_fix_again
new 6e513b6 DOC: Fix spelling
new 82981fe Merge pull request #5999 from jseabold/doc-fix
new c068ee8 update file header in affinity_propagation.py
new c5469c9 Merge pull request #5706 from shawpan/Fix-#5702-test-warnings-in-ranking
new 2bbeea1 Merge pull request #6004 from leosartaj/affprop
new ff1ca88 Merge pull request #5721 from amueller/examples_deprecation_fixes
new 1d4c926 Merge pull request #5578 from waterponey/circleCI_push
new f9ae546 HOTFIX skip partial dependence plot so we can run circleci without errors.
new 51addc0 BUG: Fixed fetch_kddcup99 for Python 3
new 79006fa Provide 'self' argument to instance method
new e4d8988 \#6001: Adding LogisticRegression's default param for 'solver'
new 58c386c Merge pull request #6006 from hlin117/logistic_docs
new 2f76310 Merge pull request #5852 from nickyj88/master
new 8d0a299 Merge pull request #5946 from nmayorov/fetch_kddcup99_bug
new 37c8d02 HOTFIX actually fixing the california housing problem
new 7d6a22a Merge pull request #6018 from proinsias/provide_argument
new 3e4ebac I guess it is some small mistake
new 4b122ad Merge pull request #6034 from alexloginov/patch-2
new d1800df Fix minor typo in RandomizedSearchCV documentation
new 2707de7 install latex required for docbuild on circleci
new c865b9b Using rain_test_split and StandardScaler instead of reimplementing them
new eb464fb Merge pull request #5730 from hdmetor/bugfix/5720
new 61a58c5 Fix omitted word in SVM-Anova example
new 66fd680 Merge pull request #6042 from kputnam/patch-2
new 625471b DOC: few minor typos spotted
new 37bfe80 FIX Changed zorder so support vectors are clearly visible
new 0e074a0 Fix bug in mini batch kmeans example
new 2f5c86f Merge pull request #6046 from davidthaler/plot_krr_fixup
new a06ddc6 Merge pull request #6044 from yarikoptic/master
new 0a4b87c MAINT fix the coveralls badge
new a8dc3a3 Merge pull request #6050 from ogrisel/coveralls-tweaks
new 9648351 MAINT fix data home dir in circle.yml
new 9790bc6 Merge pull request #6036 from kputnam/patch-1
new 0485ada General spelling fixes
new 1d8e574 FIX #5485 Replaced missing plot_gp_regression with plot_gpr_co2 in carousel.
new 776323b edited FAQ to include info about deep learning
new 167c1cb Merge pull request #6060 from nelson-liu/add-deep-learning-to-faq
new fde69cb Fixes the link to Bawa et al., "LSH Forest: Self-Tuning Indexes for Similarity Search", WWW'05 in the Nearest Neighbor section.
new e2f8cd2 Merge pull request #6067 from IsaacHaze/lsh_link_fix
new fc31b64 doc/fix: edited inaccuracies in nearest centroid classification example
new 318b93d Implemented keyword arguments in FunctionTransformer
new cd53441 Update whats_new.rst
new c2cee91 Merge pull request #6048 from zhengqm/fix-cluster-example-bug
new ad758d2 FIX: Cluster centers after fir in KMeans and MBKMeans need not be ordered in the same way
new a747d32 Merge pull request #6069 from MechCoder/mbkmeans_fix
new 6ff0bbe Merge pull request #6068 from nelson-liu/rework_nearest_centroid_classification
new 4b21c08 debian/rules - boost minimal Cython version for recythonization to 0.23.1. Should enable back bakckports on older Debian/Ubuntus
new 2999a2f * debian/tests/deb_tests_lower_precision - to lower precision of test_feature_importances to avoid FTBFS on some (BE) platforms
new 3c546fd debian/tests/deb_tests_lower_precision - lowering further to 4 decimals
new 6bf63f6 Kullback-Leibler divergence as a parameter of TSNE
new 112d7c5 Merge pull request #6084 from ogrisel/rebased-pr-3804
new 280840f FIX boolean indexing in test_label_kfold
new ea65e82 FIX deprecation warning for inspect.getargspec
new 7cfa554 Use kwargs instead of functools.partial to define some scorers
new 80c770f FIX Eliminated the use of color_cycle in out of core example
new e152df2 DOC add version_added for multinomial sag
new 68cf314 fixed target link to isotonic regression example
new 5b8fc15 Smoke test the repr of scorers.
new 1c30882 Use items instead of iteritems for python 3 compatibility.
new 8f03dff Merge pull request #6088 from duboism/solve6078
new f8d7d5f Merge pull request #6097 from mrandrewandrade/master
new 2ff9a4b Remove useless normalization — fixes #6075
new 0d597c0 Solves issue #5715: enables pandas input to log_loss
new 4afbcce Merge pull request #6104 from maniteja123/issue5715
new fb3574d Added partial_fit method for ovo and ovr FIX issue #4167 implementing online learning where base estimators have patial_fit method.
new 76c1eb2 First pull request of 2016!
new 20f6866 Merge pull request #6107 from MechCoder/2016
new cdb9dba Added doc, tests Added test for partial_fit when mini-batch doesn't have all target classes. Changed doc for better explaination of the use of paramter in partial_fit method. Used generator for passing of classes in OvO in Parallel processing instead of estimator.pop().
new 003496f Remove extra `+` in document
new e464689 Merge pull request #6108 from chezou/chezou-patch-1
new 1301692 Removed joblib comment, made compatible for python3 Removed the outdated comment about joblib overahead of thread spawining issue. Made izip compatible for both python2 and python3.
new 3daab8a FIX fetch_california_housing
new 317dea8 Merge pull request #6005 from seales/SpellingFix
new eb4bd09 fix pplot example for uneven grids
new 41035a0 ENH less verbose output in plot_partial_dependence example
new 95a1437 DOC clarifies that sparse matrices are scipy
new 7c425ab base_estimator_ attribute is a single estimator not a list
new 9df8a1a add warning, new images and links in MLP docs
new 682fd8e Merge pull request #6102 from toastedcornflakes/denoising_doc_fix
new b269f2f Change shape of target in fetch_lfw_pairs docstring to 2200 for consistence with data and pairs shape
new c571635 Merge pull request #6111 from betatim/base-not-a-list
new 604d54c Changed izip import statement, importing from six moudle
new 7e497ba Fixed the broken nose link in advanced installation docs.
new fc7192a Add missing pairwise metrics to classes.rst
new d26e412 Merge pull request #6119 from Qwasser/fetch_lfw_pairs-target-shape
new 51615b3 BUG: fix initialization in Isomap to work correctly with GridSearch
new 99c73a8 DOC Reworded cv documentation
new 116f42b Fixed doc in lfw.py. Fixes #6136. Added dependence statement for data, target and pairs. Fixed minor pep8 issues.
new a228016 Leading underscores for warnings imported from sklearn.exceptions in other modules where warnings are deprecated.
new ad193c1 Merge pull request #5833 from welch/issue-5581-doc-warm-start
new 8d17de0 Fix hyperparameter check error
new 936ea63 Make ridge path with ill-conditioned matrices clearer
new bd97169 Made few tweaks based on commemnts changed docstring of partial_fit, added check_classification_target in ovo, removed classes parameter in _partial_fit_binary.
new eaaf2ae Merge pull request #6148 from MechCoder/ridge_cleare
new aecf7bc Merge pull request #6087 from kaichogami/binary_partial_fit
new 49330b6 COSMIT: whitespace
new 729be74 Use row_norms in f_regression
new 739616a Update whats_new for partial_fit OvR and OvO
new 3ce41b6 Addressed comments
new a7e7c55 Merge pull request #6139 from dsquareindia/fetch_lfw_doc_fix
new 9358777 Merge pull request #6150 from MechCoder/fix
new c7d3e0e ENH Add sample weight support to matthews_corrcoef metric
new de25a6b DOC fix FAQ link at the bottom of main page
new 528544b Merge pull request #6157 from lesteve/fix-faq-link
new 4c7619b Merge pull request #6146 from toastedcornflakes/MLP_fix
new 6b53672 Merge pull request #5219 from scikit-learn/authors-update
new 41526cb Added sample_weight parameter to ransac.fit
new 761b1f7 Deprecate residual_metric and add support for loss
new ac2ff4a Merge pull request #5497 from MechCoder/ransac_residual
new c7ce0ab MAINT: Refactor and speed up silhoutte_score
new 1d9186d ENH/FIX std error is computed for mean across a set of 3 scores, not len(X)
new 22c687b polish figure
new 769127c Merge pull request #6151 from MechCoder/silhouette_score_refactor
new 2255ff5 TST/FIX Make model selection tests warning free!
new 6f6d878 Upgrade joblib to 0.9.4 to fix important bugs
new 7ff8d60 DOC entry for joblib 0.9.4 upgrade
new 01b5b7b Added sample weight support to confusion matrix.
new 1487047 update url of ARD reference
new 4e4e6c3 Merge pull request #6187 from mth4saurabh/update-paper-url
new d3175db Ridge coefficients as a function of regularisation
new dfa516c Merge pull request #6179 from ogrisel/joblib-0.9.4
new effb919 Upgrade joblib to 0.9.4 to fix important bugs
new 02fe943 DOC entry for joblib 0.9.4 upgrade
new 98c6edf DOC add links to some issues in whatsnew
new 6a7eae5 TST: More tests for Ledoit-Wolf
new 6148686 SKF raises error if n_labels<n_folds for individual classes. Updated whats_new
new df08def ENH: Implemented mutual_info function
new 54c0783 DOC: Documentation update related to mutual_info
new 0245fc8 MAINT: Use six.moves.zip in mutual_info
new c1aea3f MAINT: Renamed module mutual_info to mutual_info_
new 689ed0d DOC: Example for mutual_information
new 835102a API: Split mutual_info into _regression and _classif
new 8394c1b MAINT: Add blank lines between parameters in mutual_info_.py
new ad2f5f5 MAINT: Add check_classification_targets to mutual_info_classif
new ffc4fe9 TST: Change tolerance checks in test_mutual_info.py
new 824dda3 MAINT: Small changes to plot_f_test_vs_mi.py
new 051d3a2 MAINT: Slightly improve logic of discrete-continuous MI estimation
new 7869992 MAINT: Slightly improve copy logic in _estimate_mi
new ec17289 DOC: Add short descriptions of methods for mutual info estimation
new b0491be DOC: Add a short explanation of F-test vs MI in narrative doc
new d3a497a BUG: Fix copy logic for mutual info functions
new 375b070 TST: Speed up 2 tests related to mutual info
new d60636a DOC: Small fixes in mutual_info_.py documentation
new 094a077 MAINT: Small refactoring in mutual_info_.py
new 5b3f515 MAINT: Get rid of classes in test_mutual_info.py
new b48a108 DOC: Add one more reference for mutual info methods
new e1bc056 MAINT: Add a clarification comment in mutual_info_.py
new a36edf2 DOC: Modify SelectKBest and SelectPercentile docstrings slightly
new e716c64 MAINT: Mention mutual info methods in whats_new.rst
new daa73c7 BUG: Remove non-ASCII symbols from mutual_info_.py
new 3d0c8f8 MAINT: Modify whats_new item related to mutual information
new f3e256f DOC add jmetzen and tomdlt to authors.rst
new fa76b2e Merge pull request #6208 from TomDLT/authors-update
new 50b6523 FIX: doc KernelRidge
new 38f9e1c Merge remote-tracking branch 'upstream/pr/6182'
new 419c925 Merge pull request #6212 from kingjr/fix_kernel_ridge_doc
new 65ab525 Added link to profile in whats_new.rst
new 4022c68 minor fix in RandomizedLasso API docs
new 21d9ccc Merge pull request #6213 from dsquareindia/add_profile_link
new 74475bc LabelEncoder now raises error for 0-D arrays
new c255a78 ENH: classification_report format supports long string labels
new 66cf395 Merge pull request #6229 from dsquareindia/LabelEncode-error-msg-fix
new 30e83cf Merge pull request #6214 from mth4saurabh/minor-fix-RandomizedLasso-doc
new c98d5c5 Make doc for parameter consistent
new 006aacb MAINT: Print info message for fetch_20newsgroups
new fbe85eb update note on Input Data in clustring docs
new ae70c55 Fix reading of bunch pickles
new 7371c33 Added changelog entry about #6196
new 7ed1ab3 Merge pull request #6227 from strixcuriosus/classification-report-format
new 5a0ee9b Merge pull request #6201 from GaelVaroquaux/more_ledoit_wold_tests
new 05da5db Change super call to pass presort value to super
new 3c4ddb0 DOC fix FAQ link at the bottom of main page
new 887a069 fix for #5725 (makes sure numpy array is not compared to string, which will fail in future versions of numpy)
new 201e292 Typo
new 8db4e83 Merge pull request #6235 from lesteve/fix-reading-of-bunch-pickle-generated-with-0.16
new 98622be Merge pull request #6230 from yenchenlin1994/fix-Hierarchical-parameter-doc
new cb1a4bd Merge pull request #6238 from amlankar/patch-1
new 84ea56c Merge pull request #6218 from mth4saurabh/update-input-data-note-clustering-docs
new 3569e27 Fix reading of bunch pickles
new 3933ff4 Added changelog entry about #6196
new 3030ad6 TST non-regression test for #6147, roc_auc on memmap data
new 9c40e85 FIX 6147: ensure that AUC is always a float
new 3427d20 DOC add fix for #6147 to the changelog
new c0e4832 remove shuffling and standardization fix layout
new 1b4a9f2 Merge pull request #6225 from ogrisel/fix-6147-scoring-memmap
new b50d3ed Fixes make_sparse_spd_matrix documentation
new 84ef805 Merge pull request #6244 from harrymvr/patch-1
new 613f1ad TST non-regression test for #6147, roc_auc on memmap data
new 497ddf3 FIX 6147: ensure that AUC is always a float
new 3bfbdb0 DOC add fix for #6147 to the changelog
new 2e270a7 DOC missing changelog entry for #5857
new 96d8e3c DOC missing changelog entry for #5857
new bb0a632 move title in the bottom
new c3d8493 Rewordin algorithm requirements in FAQ
new 51480fc Merge pull request #6152 from halwai/faq
new e20e003 Fix axis label of multioutput regression tree example
new 0a3eaf5 Fix typo in parameter's doc
new da5d898 Merge pull request #6241 from louridas/fix-iris-decision-tree
new 79dea7b BUG: fix pickling of DistanceMetric instances (fixes #6269(
new 4ae03d1 Merge pull request #5701 from ziky90/gp-comparison-fixes
new d1fb39e added LatentDA to the Incremental learning page
new 37080d2 Merge pull request #6272 from jakevdp/fix6269
new 46ec927 Merge pull request #6277 from rasbt/latendDAupdate
new 864f1c0 Merge pull request #6264 from yenchenlin1994/fix-multioutput-regression-tree-example
new 070ff21 Merge pull request #6232 from maniteja123/fetch_20newsgroups
new 637cebb FIX restore previous title layout in examples/tree/plot_iris.py
new 9d0a489 Merge pull request #6267 from yenchenlin1994/fix-LDA-doc-error
new 4f2cd80 raise NotFittedError in VotingClassifier and unit test improvements
new a94c04b Merge pull request #5794 from rasbt/check_votingclassifier
new aec8dd0 Add doc to clarify the use of DictVectorizer when categorical features are represented as numeric values
new d472a6a much faster isotonic regression prediction (involved re-setting interpolation to linear)
new c694b9b change to test_isotonic_regression_ties_min
new 956205c Merge pull request #6286 from ogrisel/pr-6206-followup
new 604e1e0 Fix check_cv error message
new ef307ec Correct typo in ``decomposition.rst``. Merge latest changes.
new 8d270fb MAINT speed up test_gpc
new dd6ab4e MAINT speed up test_gpr
new 6470a83 MAINT speed up test_kernels
new 6eca250 MAINT speed up test_extmath
new 9ee3f50 MAINT speed up test_coordinate_descent
new d3eb01e MAINT speed up tests in test_neighbors
new 1814e84 MAINT speed up test_split
new 58c859e Limit the number of thread and force install libgfortran
new 23f5105 Merge pull request #6270 from ogrisel/pr-5711-followup
new 19024a8 FIX performance issue in _graph_connected_component
new b0d071b Merge pull request #6268 from ogrisel/fix-spectral-embedding-stopping-condition
new 4e56161 MAINT display pip version in appveyor
new 8eacee4 MAING Upgrade pip in appveyor
new 2b8904d Merge pull request #6299 from ogrisel/fix-appveyor-pip
new 9cbceb3 MAINT split test_ridge.test_dense_sparse with generator
new 795b051 Merge pull request #6296 from pestrickland/master
new 1aa0ec2 STYLE missing whitespace in isomap comment
new 83d1cf4 MAINT speed up slow test_iforest_sparse
new cfa498c FIX in randomized_svd flip sign
new bf99bc8 DOC: Use SVG badge for Travis CI. [ci skip]
new 23a0895 Remove redundant and
new 2d6f68a Removes X= after raise.
new 7475bea MAINT Upgrade pip in appveyor and display version
new cb0f216 MAINT fix / speedup travis on 0.17.X
new 538e650 Merge pull request #6311 from jakirkham/badge_svg_travis
new 2311bab Merge pull request #6315 from ogrisel/ci-0.17.X
new 706b45e Merge pull request #6314 from tshauck/remove-superfluous-declaration
new ebe3ff5 fix math in soft VotingClassifier example
new 71e25e6 Merge pull request #6319 from gjreda/fix-soft-voting-docs
new f7f82b9 Merge pull request #6293 from yenchenlin1994/fix-doc-typo-in-binary-tree
new b7998c2 Merge pull request #6292 from yenchenlin1994/fix-error-message-in-check-cv
new a8e7e48 Merge pull request #6285 from yenchenlin1994/update-DictVectorizer-doc-about-one-hot-encoding
new 117cf5e Merge pull request #6058 from davidthaler/carousel_fix
new 7f70390 typo fixes in the current changelog
new 64dfddf Merge pull request #6294 from rasbt/whats_new_typos
new 856424a fix joblib error in LatentDirichletAllocation
new f67e52d Merge pull request #5945 from mth4saurabh/improve-mlp-docs
new 268af69 Merge pull request #6324 from chyikwei/fix-lda-joblib-error
new 89c918a DOC whats_new entry for #6258
new f6ba9ff fix joblib error in LatentDirichletAllocation
new ac7450a DOC whats_new entry for #6258
new 9c511d0 Changes to be committed: modified: examples/applications/svm_gui.py
new f393f59 Normalize LDA transform's return value
new 2dc389c doc:added multilabel y support for all splitters
new 36ec92a Fixed typo in one word.
new 71ec574 DOC: Fix redundant doc for f_regression.
new 55f04f9 Merge pull request #6331 from joerobmunoz/fix-model-evaluation-typo
new b7b6ac1 Merge pull request #6040 from amueller/circle_texlive
new fcfaa5f Updated examples and tests that use scipy's lena
new d6ebe74 Merge pull request #5880 from jakevdp/spectral-doc
new 88b96a7 Merge pull request #5675 from AlexanderFabisch/gmm_clustering
new 1784bf3 Merge pull request #5863 from trevorstephens/cw_util_fix
new 3280f88 Merge pull request #5425 from amueller/update_doc_readme
new 6c62763 Fix test_label_binarizer on Windows
new c4e0ce6 FIX/NRT signature expects the init to not be a c-defined method (Py2.7)
new 885c512 Add sklearn/preprocessing/tests to source distribution
new 4efec8f DOC: incorrect phrasing of inputs to roc
new c761ba7 Merge pull request #6260 from ogrisel/pr-5920-followup
new a186014 Merge pull request #6328 from rvraghav93/model_selection_repr_fix
new 8a326f8 Updated examples and tests that use scipy's lena
new dd85a67 Add parallelism to multiple algorithms
new a6604c3 inverse_transformation for NMF decomposition
new 630541e Remove redundant that in test_ranking.py
new f7bcfc5 Merge pull request #5872 from lucasdavid/parallel-nn-in-isomap
new 9522916 Merge pull request #6339 from yenchenlin1994/fix-typo-in-test_ranking
new 80bb29b Fix memory leak in Barnes-Hut SNE
new 56d9c75 MAINT simplify freeing logic for Barnes-Hut SNE memory leak fix
new 6b1d351 Merge pull request #6125 from AnishShah/issue6118
new 04f2857 Remove redundant assignment of parameter shuffle
new 7cd0419 Merge pull request #6327 from yenchenlin1994/fix-lda-transform-output-probability
new 97015de Merge pull request #6336 from GaelVaroquaux/fix_roc_auc_doc_phrasing
new 6ffc85e BLD: fix build issue introduced by gh-5492.
new d2b6c7a Fixed legend text and pep8 warnings
new a1e546b DummyClassifier: Added doc information about default strategy
new ff97d74 Merge pull request #6362 from hlin117/dummy
new 5404d5d Merge pull request #6360 from alyssaq/patch
new ce2a03e Add numpy dev wheel to travis build matrix.
new b5286c3 weird work-around for spearman test
new 9bff7d6 add test for auto increasing
new e6cc861 fix floating point indexing in generic univariate
new de38d1b make X_stride be np.npy_intp
new 1e5820b Semantics of ``assert_almost_equal`` now consistent on floats and arrays. see https://github.com/numpy/numpy/issues/5200
new 2270af2 Merge pull request #6354 from rgommers/fix-build-error
new aa2f659 DOC: very minor typo
new e98a11b Merge pull request #6366 from yarikoptic/master
new a43a9f5 MAINT clean up install script
new c36c4ca MAINT more informative output to circle/check_build_doc.py
new 0e06be5 FIX check_build_doc.py false positive detections
new b35345c Merge pull request #6343 from lesteve/fix-tsne-memory-leak
new 765f77e Read web pages as UTF-8 by default. Use with-blocks to open files.
new e2e773d Add test for init errors
new 69e4c14 FIX in randomized_svd flip sign
new 53713c9 Fix for issue #6352
new ffafc80 Merge pull request #6333 from lesteve/fix-test-label-binarizer-on-windows
new 2d8eb00 Fix broken link of Wainwright's paper
new 4694813 Merge pull request #6384 from yenchenlin1994/fix-broken-link-in-sparse-example
new 140a5ac MAINT depr of center_data, normalize in linear_model
new faa63df Remove redundant assignment of variable tol
new 1b27536 Change comment formula of enet_coordinate_descent_gram
new 234e4ab Merge pull request #6391 from yenchenlin1994/remove-redundant-assignment-in-test-locally-linear
new a7038a4 Merge pull request #6363 from ogrisel/pr-6332-followup
new f679095 Merge pull request #6375 from jakirkham/backport_fix_svd_sign_flip
new 10f5db0 FIX fetch_california_housing
new dd3d721 MAINT more informative output to circle/check_build_doc.py
new 58ba2b8 FIX check_build_doc.py false positive detections
new 8007d91 Fix memory leak in Barnes-Hut SNE
new f3e6609 MAINT simplify freeing logic for Barnes-Hut SNE memory leak fix
new 7477df2 FIX cythonize TSNE
new 807796e MAINT remove non-existing cache folder in 0.17.X branch
new 368a98f ENH/MAINT Check for changes in pxd files too. Cleanup code
new b93ccb9 ENH/MAINT Save hashes once for every file
new ea042f1 Release 0.17.1
new 65a2b8f Fixed codestyle
new bf9cd88 Merge pull request #6254 from rvraghav93/cythonize_when_pxd_changes
new 4b7a0e0 enh: reorganize build files
new d963b2f Add test for local linear embedding
new 281ac0c Merge pull request #6393 from yenchenlin1994/add-test-for-local-linear-embedding
new c2b1edd ENH use n_jobs in brute-force radius_neighbors
new 55dfe49 Merge tag '0.17.1' into releases
new 1452704 Merge branch 'releases' into dfsg
new 82c41fb Merge branch 'dfsg' into debian
new baf20b4 changelog entry + adjusted years in copyright
new 69b8aa1 few patches picked up from master for safe passage on sid
new 2141869 Merge pull request #6396 from nelson-liu/reorganize_build_files
new 4a5a7e1 Merge pull request #6349 from yenchenlin1994/remove-redundant-shuffle-assignment
new 3fa684d add get_feature_names to PolynomialFeatures
new ddc1740 fix PolynomialFeatures.powers_ in python 0.16.1
new 22f468a Update svm.rst
new 1601dae Fixes the 'make cython' by adjusting the path to cythonize.py
new c9d66db Merge pull request #6414 from ssaeger/issue_6413
new 897f8b6 don't do ^1
new f723338 Update svm.rst
new c543633 Update cross_validation.rst
new 46fc1be Remove redundant words in sklearn
new 9f4b53e Update svm.rst
new e631f2c Merge pull request #6412 from Naereen/patch-3
new 3f88b98 doc: fix capitalization in svm.rst citation to match paper.
new 613e8be Merge pull request #6427 from nelson-liu/fix_svm_doc_citation
new 323bcea Merge pull request #6426 from yenchenlin1994/remove-redundant-typo
new b2799ca DOC: Added memory workaround to dbscan doc
new f45f374 Fixed typo
new cef770e Made seperate topic for mem consumption for large sample sizes
new d7d0ae6 Merge pull request #6404 from dsquareindia/dbscan_doc_enh
new 28b58b0 Merge pull request #6442 from radarhere/patch-1
new 8fb928d fixed doc for powers, added test
new f5025c3 Correct PCA and RandomizedPCA docs related to whitening
new b6adb92 Merge pull request #6447 from MechCoder/whiten_pca
new 7895d38 Merge pull request #6372 from amueller/poly_feature_names
new 7e79adc Huber regressor
new 540c7c6 Merge pull request #5291 from MechCoder/huber_loss
new ca4c727 Fix misuse of it's
new 90f2c18 Merge pull request #6453 from yenchenlin1994/fix-its-typo
new 07728d9 FIX StratifiedShuffleSplit train and test overlap
new bff21be Add doc of attributes for VotingClassifier
new f300632 DOC: Align the code blocks in CONTRIBUTING.md with tab
new 8d42471 MAINT: Fix typo in comment for travis/install.sh
new bba6826 Merge pull request #6461 from scottclowe/fix-typo
new 0de2cb5 Merge pull request #6462 from scottclowe/doc-align-contrubting-code-indents
new 68de3b2 Merge pull request #6458 from yenchenlin1994/add-doc-for-voting-classifier
new 1049642 Merge pull request #6371 from yenchenlin1994/add-test-for-vote-classifier
new f0f0aff DOC: add issue and pull request template
new 150afe6 Merge pull request #6379 from lesteve/fix-stratified-shuffle-split-train-test-overlap
new c60c3f0 Merge pull request #6411 from nelson-liu/create_issue_pr_template
new 7872126 Corrected typos in cross_validation.KFold docstring
new d3d8490 Merge pull request #6469 from ralexx/docstring-typos
new 6d3e87a DOC: Clarify the scoring in Logistic Regression
new 94e2768 Merge pull request #6481 from maniteja123/logistic-doc
new 2e4aafd MAINT remove my email address
new 6a841a1 doc: add link to user guide in isolation forest docstring
new 03a1d45 Merge pull request #6490 from nelson-liu/fix_isolation_forest_docstring
new d6e7f6b Add Python and PyPi version badges
new 3d001f3 Fix MLP batch_size test warning for default value
new 1d50534 Merge pull request #5699 from bhargav/mlp-test-warning
new f9b4e7e don't import train_test_split from deprecated cross_validation module in mlp
new c0bc2f8 Merge pull request #6503 from rhiever/patch-1
new 2d19895 MAINT temporary disable MKL in Travis
new f27c3b2 Merge pull request #6508 from lesteve/travis-nomkl
new 3f39676 MAINT bump up numpy and scipy versions for travis latest
new 9f25765 Merge pull request #6494 from ogrisel/fix-travis-conda-numpy
new 07cede7 Multitarget regression meta estimator
new 328ebfa ENH RandomizedPCA collapsed into PCA
new 25c931a Merge pull request #5299 from giorgiop/pca+randomizedpca
new a1ee6eb Update Python version in README
new eb242c2 ENH: FeatureHasher now accepts string values.
new d4a8d73 Merge pull request #6521 from giorgiop/patch-2
new 876f123 Do not ignore files starting with _ in nose
new 2e7d9ad FIX: improve docs of randomized lasso
new bf81451 Fix consistency in docs and docstring
new a754e09 Added ref to Bach and improved docs
new f81e5aa Try to fix link to pdf
new 3a83071 fix x and y order
new 77c17bc Correcting Typo
new 5e41327 Merge pull request #6530 from Arafatk/master
new ce11cbc added MultiOneVsRest classifier & testing suite
new edd0eab change "lasso_path" to use "return_n_iter" argument
new aadaf0f Merge pull request #6531 from gasagna/patch-1
new 4eca0c9 updated info for cross_val_score
new 26c6621 Update copyright year in the doc footer (2015 → 2016)
new 7345351 Merge pull request #6543 from ohld/update-footer-year
new b286b85 Add and print a total_n_estimators information
new 06bf797 DOC update docstring in LogisticRegression
new aa31fa6 Added additional references for ARDRegression
new e8a8a67 Two typo on my change, sorry
new 195a5eb Merge pull request #6546 from Naereen/patch-1
new 681fd2f DOC: Fix order in ARD references
new 113ee40 Merge pull request #6549 from FlorianWilhelm/ardregression_doc_addition
new c2eaf75 Merge pull request #6173 from dsquareindia/featurehasher_fix
new b64e992 Merge pull request #6542 from ohld/make_scorer-link
new e2e6bde Merge pull request #6498 from clamus/rand-lasso-fix-6493
new 9691824 Merge pull request #6466 from lesteve/nose-ignore-files-tweak
new 7580746 Fix broken link in ABOUT
new bd6b313 Merge pull request #6565 from bryandeng/doc-link
new 549474d [gardening] Fix NameError ("estimator" not defined). Remove unused var "ind".
new e228581 Merge pull request #6566 from practicalswift/fix-nameerror-and-remove-unused-variable-in-multiclass
new e9492b7 LabelBinarizer single label case now works for sparse and dense case
new 528533d MAINT: Simplify n_features_to_select in RFECV
new 945cb7e Merge pull request #6221 from dsquareindia/LabelBinarizer_fix
new 54af09e Fixing typos in logistic regression docs
new 146f461 Merge pull request #6575 from hlin117/logregdocs
new 07a6433 Fix typo in html target
new b3c2219 Add the possibility to add prior to Gaussian Naive Bayes
new 5a046c7 Update whatsnew
new 5d92bd5 Merge pull request #6579 from nlathia/issue-6541
new 65b570b Update scorer.py
new 56d625f Merge pull request #6569 from MechCoder/minor
new 22d7cd5 Make dump_svmlight_file support sparse y
new eed5fc5 Merge pull request #6395 from yenchenlin1994/make-dump_svmlight_file-support-sparse-y
new 9b7176d [DOC] Fix broken links
new afc058f Merge pull request #6376 from tracer0tong/issue_6352
new 42d49c8 Make assign_rows_csr support Cython fused types
new e5c366f Merge PR #6037: copy_X in KernelPCA
new d7cf4b0 Merge pull request #6588 from yenchenlin1994/use-fused-types-in-assign_rows_csr
new e34bbc1 Use fused type in inplace normalize
new 08e1db4 Test normalize function in data.py
new ea9896e Merge pull request #6539 from yenchenlin1994/use-fused-type-in-inplace-normalize
new d574a03 type checking before comparison, to avoid warning messages If np.array is pssed as a parameter 'n_values', warning of multiple comparison is printed. This patch avoid this problem.
new 0fd64c2 DOC: mark weights as optional
new 3183895 Merge pull request #6608 from tacaswell/doc_knc_docstring
new 24198ff Merge pull request #6419 from nelson-liu/fix_linkcheck
new b454293 DOC: Correct some errors in chebyshev distance closes #6576
new acdaeaf Merge pull request #6606 from tkamishima/tkamishima_one_hot_encoder_parameter_checking
new d2aaf0f doc: fix spellings of 'license'
new 29ee54a Meta estimator for multi output classification
new 3078d7d Merge pull request #6127 from hugobowne/MultiOneVsRestClassifier
new 6e43d6e What's new?
new 33396b1 Merge pull request #6611 from maniteja123/chebyshev_doc
new 6ce198c [MRG] #6581 n_samples of utils.resample can be more when replace is True
new 45ad9f4 [MRG] fix documentation typo
new c20c76e FIX use the model_selection
new 6225512 [MRG] Misprint in documentaion fixed
new 3971c00 #6609: related_projects.rst, one commit - @rvraghav93, @jnothman
new 689a91e [MRG+3] Add weighting option to cohen_kappa_score
new 589fcad [DOC] fix reference to examples
new 7efeb5a ENH added elkan k_means algorithm
new 273e91b change default order in check_array and update variable names in _k_means_elkan.pyx
new f460330 docstring elaboration and typo in fixes.py
new d7c4409 doc typo
new 0a094b9 Fix grammar bug in docstring of SelectFromModel
new 56ce722 Merge pull request #6632 from mszep/patch-1
new 2efa626 [MRG] Fix strict tests
new e012b7b FIX assert_array_almost_equal in test_image
new 7f57a65 Merge pull request #6636 from ogrisel/fix-strict-tests-2
new dfa90ec add booking.com testimonial
new 7e8f8b7 Update plots_digits_classification.py
new c3b212a NMF Bug fix when init='custom'
new bc8d088 Small fix on ensemble.rst
new ef7d046 Merge pull request #6638 from braunmagrin/patch-1
new 1c044b3 fixed doc formatting
new 039aff7 debian/rules: skip test_dump tests on arm64 + robustify use of xargs to not fail if no matches
new a71d31c Attribute explained_variance ratio is now available for LDA with the SVD solver. See issue #5216. However, this attribute is corrected from the previous commit which, might not return the expected values.
new 355ab0d Corrected the dimension of the array explained_variance_ratio_ for LDA, solver svd.
new 9bf24fd Cleaned the calculation of explained_variance_ratio_ in LinearDiscriminantAnalysis, SVD solver.
new 5d33974 Regression test for explained_variance_ratio_, LDA, SVD solver.
new d019a53 Added 4 spaces to conform to PEP8.
new 7531b30 Modified the length of the slice: now uses a variable, not a hardcoded number.
new 0476784 Modified the What's new file to mention the bug fix about the wrong results returned with discriminant_analysis.LinearDiscriminantAnalysis's attribute explained_variance_ratio.
new 74c29e0 misc
new 262e9e4 fix test warning
new 45ff64b type echecking before comparison, to avoid warning of multiple comparison (#6615)
new 1d487fb [MRG+1] issue #6532 Add `inverse_transform` function (#6570)
new e6bb6b8 Removed redundant Classification metrics entry: metrics.brier_score_loss.
new b2002dc Merge pull request #6653 from davidwarshaw/doc-remove-redundant-brier_score_loss
new c9b082a [DOC] Moves comma to make sentence more clear
new 14175c7 Merge pull request #6658 from ClimbsRocks/patch-5
new 18396be ENH: Add indicator features to imputer output
new d837998 Merge pull request #6607 from maniteja123/imputer_indicator
new f254ce2 ENH move the raise statement alone inside a gil block (#6644)
new 566a0e7 Make cython compiler directives global
new b094a59 Merge pull request #6664 from yenchenlin1994/make-cython-compiler-directives-global
new 8b6010d [MRG] Fixed issue #6635: incorrect docstring for Birch
new 28758cc [MRG+2] Use fused types in sparse mean variance functions (#6593)
new c59900c add badge for doi into readme (#6672)
new 2c0cbdc DOC: refactor issue and PR template (#6470)
new 1fa52e4 Disable checks in _centers_sparse
new 30fcef4 Fixed minor typo in multitasklasso docs
new 5876f88 Merge pull request #6682 from hlin117/multilasso
new bd99858 [MRG +1] DOC - add example to cross_val_predict and cross_val_score (#6446)
new a0b8c52 DOC Make the PR/Issue headers smaller (#6685)
new 0625e03 Integration of the new GaussianMixture class.
new 6fb6c63 Modification of the ignore_warning function and _IgnoreWarning class.
new 6bc346b Merge pull request #6666 from tguillemot/GSoC-GMM-new
new 0f65de8 typing mistake
new 97ad719 STYLE minor flake8 fixes in nmf.py
new c0cb2bf [DOC] clarify distance mode in graph creation functions.
new 475a6b7 Revert definition of check_array
new ae51a55 revert doc string of check_array
new 251fc91 small grammar fix
new 88e7e77 make centers C contig
new 97b90fb Merge pull request #6698 from ixjlyons/fix-neighbor-docs
new e6b0e21 Update decomposition.rst
new bf1b753 STYLE use one-liner
new 981df96 Merge remote-tracking branch 'scikit-learn/master'
new c5fd5cb DOC: fixed typos and one style issue in plot examples
new bb102d8 Merge pull request #6707 from saiwing-yeung/my-fixes
new 1328c01 Merge pull request #6705 from mathcass/decomposition_typo
new 427179b [DOC] update and rename readme to readme.md (#6669)
new 78a6748 Correct the deprecation of the random_integers numpy function. (#6712)
new 6d7dfdb Merge pull request #5414 from vighneshbirodkar/el
new e733b28 model_seclection._validation.cross_val_predict_apply_func
new d9da20d Merge pull request #6671 from zivori/model_seclection._validation.cross_val_predict_apply_func
new 37880af COSMIT better test name
new 1a5be6d Fix IsotonicRegression __setstate__ (#6729)
new 80230d6 DOC add reference to multinomial logistic example
new 93ffce3 [DOC] Added return values to _intercept_dot docstring in linear.logistic
new 97e4232 [MRG+1] Bug fix for OneVsOneClassifier - converted input to numpy array (#6626)
new 3ab37f7 Add TPOT to related projects (#6732)
new 8182f4b Fixing default order docs of sklearn.utils.check_array
new 7d2d927 importing VotingClassifier in the example
new 22cf46e [MRG+1] Reenable MKL for python 3.5 in Travis (#6661)
new c5c2b37 Update OAS estimator description (#6758)
new e8d331f DOC: Improve docs for average precision score
new 7c0ebbc FIX does not draw the ellipse! #6640 (#6757)
new 65c4df1 Update plot_roc_crossval.py (#6765)
new 294ee9d Merge pull request #6677 from MechCoder/remove_checks_sparse
new ec8299a DOC: fix typo in check_arrays
new 4d6f977 Merge pull request #6770 from nelson-liu/fix_check_array_typo
new 97e7245 Merge pull request #6760 from maniteja123/average_precision
new 6a82a2e Merge pull request #6755 from hnykda/hnykda-fix-votingclassifier-example
new a4d070e [MRG] Disabled randomized_svd warning when number of iterations is not specified #6746 (#6749)
new 7ae7ea5 pep8
new 7ce4f5c FIX incorrect gradient computation for SquaredEpsilonInsensitive loss
new f73e9dd DOC do not mention private class in changelog
new 89247fc FIX SquaredHinge is a classification loss (#6771)
new a249821 DOC cross-reference preprocessing estimators and functions in their docstrings
new 0c879ba [MRG+1] Fix: Replace pylab with matplotlib.pyplot #6754 (#6762)
new 2dd5a9a change last pl to plt
new 8f199fe Modification of the GaussianMixture class to use cholesky precision matrices. (#6743)
new e743cf7 MAINT: re-organize setup.py & make sure all tests are discoverable by nose
new fdcb5b4 MAINT: fix setup for metrics/cluster
new 1cc4e9a TST: fix relative import in model_selection tests
new 304f4b5 TST: make model_selection test an absolute import
new a89f754 FIX bug where expected_mutual_information may miscalculate
new 3d9463d Merge pull request #6724 from jnothman/emi_bug
new 417788c DOC minor whats_new tweaks
new c95a0cb Typo in `plot_cv example`
new 2f28ebe Merge pull request #6790 from arokem/patch-1
new 65e91f7 Make csr_row_norms support fused types
new dc42bde FIX Don't warn when scoring param is passed + PEP8 (#6798)
new a769b25 ENH remove excessive verbosity when no parameters set for CV
new cb8ce73 make Parallel be one less verbose in LDA (#6772)
new 82d9b48 TYPO Update decomposition.rst (#6803)
new e42a370 Merge pull request #6274 from jakevdp/setup_py_fix
new 3f40bf4 Replace print statement in fastica() with warning (#6807)
new 5676ed2 Add a check whether stripping accents is needed (#6805)
new 2cc6160 plot decision function histogram on bench datasets
new 3877d32 binary predict in IsolationForest + test added
new c20c9b7 cosmit
new 6bdcba6 update doc + bench
new 37b1594 add an example + change predict to respect convention
new f89fe80 cosmit
new a374fa3 fuse anomaly examples
new 67fa7e0 fuse benchmarks
new 5fc1364 cosmit
new 7e8631a cleanup bench script
new f4a513a cosmit
new ce45d36 take into account raghav comments
new 165392e misc
new ea947b8 better figsize in iforest bench
new 62f467e Merge pull request #6610 from jeff1evesque/feature-6609
new e17d207 doc: update mailing list info (#6812)
new 20f89ef Remove add_row_csr (#6676)
new c7d6f9f Test row_norms for float32 data
new 1107f22 use class_weight through sample_weight in LogisticRegression with liblinear
new af171b8 Merge pull request #6817 from TomDLT/logistic_class_weight
new a6a6ff6 Merge pull request #6785 from yenchenlin1994/make-csr_row_norms-support-fused-types
new 81559ee Update tree.rst (#6826)
new 204472a FIX segmentation fault in libsvm (#6708)
new b13acb1 and related minor documentation fixes
new df80c4c Merge pull request #6801 from jnothman/noparams
new 4854454 [MRG+1] Parameter check in NMF and IsolationForest (#6814)
new d161bfa Add missing double quote (#6831)
new 1002de2 Fix small typos in docstring and comment (#6840)
new ed7af66 Typo documentation fixes in Advanced Installation (#6753)
new c7465f2 DOC - improved doc on ridges alpha parameter (#6844)
new 1f76574 Add description about default score_func
new 5a333cd fixed error message for invalid class_weight values
new d12bc46 Merge pull request #6850 from kmike/class_weight_error
new 814223c [MRG+1] FIX support memmap scalars as CV scores (#6789)
new 18092fd fix balance
new e669f87 Modification of the GaussianMixture class. (#6824)
new 0f76f18 fix Indentation and redundant info
new 6064327 fix Indentation and redundant info
new 9795916 Doc: Fix typo (#6854)
new a5176e5 Merge pull request #6853 from krishnakalyan3/class_weight_balance
new 95c4172 [MRG+1] Add a set recording pushed elements in DBSCAN (#6799)
new 70d7fec FIX workaround bug in numpy 1.9 (#6856)
new b280432 DOC insert missing function description
new 8ab2e3c DOC fix broken image path
new a2e0bd2 PEP8
new c625256 Fixed pep8 errors
new e047551 pep8
new 7c886e4 fix pep8
new d9b8ece Lasso docs fixed (#6880)
new f9b1365 TST ensure tests are importable
new 234dc6d Change GMM -> GaussianMixture. (#6886)
new 069bfba link to gpr guide (#6885)
new 9d444c9 add doctest extension (#6774)
new a91e044 DOC add betaworks testimonial (#6825)
new 19364bf Update ISSUE_TEMPLATE.md
new 1837224 Merge pull request #6613 from nelson-liu/correct_license_spelling
new afd5d18 [MRG] ENH Restructure grid_scores_ into a dict of 1D arrays
new c6a457f Add Brier_score_loss to model validation doc
new 7fea3ef CI Install psutil (#6897)
new 1f86b1d [MRG] ENH Add Calinsky-Harabaz and Fowkes-Mallows clustering metrics (#6823)
new 2242b1b Make KernelCenterer a _pairwise operation
new 3b4ae28 Fix CircleCI failure (#6903)
new cc9dbac Adding test for PR #6900
new 13f68c9 Simplifying imports and test
new f91b4e5 updating changelog links on homepage (#6901)
new 1bec8e3 first commit
new 488f7d6 changed binary average back to macro
new 7d6c629 changed binomialNB to multinomialNB
new 6301b1f emphasis on "higher return values are better..." (#6909)
new 725ff4a fix typo in comment of hierarchical clustering (#6912)
new 6bea11b [MRG] Allows KMeans/MiniBatchKMeans to use float32 internally by using cython fused types (#6846)
new ccefc2e Fix sklearn.base.clone for all scipy.sparse formats (#6910)
new 1870d6d DOC If git is not installed, need to catch OSError
new 10a6c33 DOC add what's new for clone fix
new f485fce fix a typo in ridge.py (#6917)
new 055bc4c pep8
new 94faf0e Merge pull request #6908 from HashCode55/master
new d41b706 Merge pull request #6900 from fishcorn/fishcorn-patch-1
new 1dbc069 TST: Speed up: cv=2
new 5820246 DOC Minor grammar fix (#6925)
new 4a2bc34 DOC Fix text data tutorial (#6923)
new 459e8bf COSMIT fix typo in author name
new 3cc7fea [MRG+1] Added support for sample_weight in linearSVR, including tests and documentation. Fixes #6862 (#6907)
new 91746b3 Fix minor typo in grid_search.py
new b4ca1fb Merge pull request #6935 from proinsias/proinsias-gs-typo
new 9cef05f documentation: fixing typo (#6938)
new 1220ca3 fix pipeline docs typos (#6940)
new aec7f25 Doc: spectral.py: Add default value to gamma (#6941)
new e2a2b4d Fix typos (#6942)
new 0e59633 DOC Add missing parameter defaults for some ensembles
new 5ea317b Merge pull request #6944 from proinsias/proinsias-rfc-doc-defaults
new fe03879 Fix doc refs to StratifiedKFold and KFold (#6936)
new a0d6d53 DOC Add missing parameter defaults for Naive Bayes classes
new 3f37cb9 [MRG+2] convert to boolean arrays for boolean distances (#6932)
new a546e1a Properly handle bounds in isotonic regression with `np.clip` (#6949)
new 7889054 Merge pull request #6946 from proinsias/proinsias-doc-nb
new 4d33cd6 rename function to func (#6700)
new a0ccea9 TST avoid imports from deprecated module
new 03ec6c9 [MRG] Added sample weight parameter to LinearSVC.fit (#6939)
new 69e1df8 DOC what's new entries for LinearSVR/C weight support
new b661d1e Minor grammar fix
new d6c479f Merge pull request #6979 from ClimbsRocks/patch-8
new b242539 Fix minor typo
new 2ea5666 Merge pull request #6982 from fisache/master
new 4c32aa2 update for issue #6523 (add logistic_regression_path to classes.rst (#6970)
new 71c6872 avoid creating a diagonal matrix (#6989)
new 7b7093c DOC make confusion_matrix_plot.py exmaple more copy-pastable
new 97c47d9 Merge pull request #6966 from doshyt/doc-update-confusion
new a2dac46 Fix minor typo in doc (#7001)
new fc229a1 [MRG + 1] docs: Change example of KDTree to prevent DeprecationWarning (#6962)
new f6bfe6a [MRG+1] test against single-class y_true values for #6980 (#6987)
new dfb9217 removing confusing comment (#7007)
new 2857acd Updated README, removed git clone with write reference (#7009)
new c67f091 Added deprecation cycle and modified examples (#7013)
new 46bd3e3 Edit CONTRIBUTING doc (#7017)
new b0455b1 DOC Fixed check_estimator example (#7025)
new f9d26fe adding user guide link to LinearDiscriminantAnalysis issue #6829 (#7031)
new e0d501f Joblib 0.10.0 (#6985)
new 89e0735 [MRG+1] Deprecated GMM functions (#7012)
new 536b26a [MRG + 1] update test_common.py deprecation warning (#7024)
new 1a8ddbe [MRG +1] adds DeprecationWarning to DPGMM and VBGMM (#7020)
new 7449dc2 DOC: fix spelling of Schütze in tfidf citations
new 1fbd0b8 DOC fix misconception in DBSCAN documentation
new 48d27c5 DOC: fix typo (#7044)
new 6b863e5 DOC: fix typo in sprint title in about (#7043)
new f95069d DOC update refs for MiniBatchKmeans
new d92413b typofix in modules/grid_search.rst (#7045)
new d6a1230 DOC fix MiniBatchKmeans See Also and colon
new faa6765 DOC harmonize KMeans docstring with doc standards
new aa4f756 remove redundant NotFittedError import from voting classifier (#7060)
new f40b36d Typo
new dd0681f Merge pull request #7062 from neo01124/master
new d9c9c01 DOC: fix typo
new 6b84597 Merge pull request #7063 from samuelstjean/patch-1
new cbd3bdb DOC fix typo in KMeans docstring
new 8bc8aed Merge pull request #7057 from doshyt/doc-update-confusion
new 94246be [MRG+1] RadiusNeighborsClassifier edit (#6918)
new 7a7e809 pep8
new c84ff5e [MRG+3] Add mean absolute error splitting criterion to DecisionTreeRegressor (#6667)
new 70bbb82 DummyClassifier and DummyRegressor should raise NotFittedError (#7069)
new 1cf192b fixes #6829 - user guide links to DiscriminantAnalysis (#6838)
new 1f1f7da Merge pull request #7041 from jnothman/dbscan_doc
new 92853f9 DOC Reword description to remove ambiguity (#7066)
new 0316279 DOC joblib default start method is not forkserver (#7077)
new 4f4a580 Merge pull request #7033 from nelson-liu/fix_tfidf_intro_to_ir_citation
new 2ace75b COSMIT Reduce duplicated code (#7053)
new ab6dd89 MNT use model_selection (#7082)
new 8972d82 DOCS / COSMIT duplicate word typos
new ac8863e Merge pull request #7083 from amueller/typos
new 1ad6fe3 DOC revert removal of duplicate word in doctest
new e2bc2a7 add __dir__ to bunch for better autocomplete (#7090)
new d829091 pep8
new 376aa50 [MRG+1] feature: add beta-threshold early stopping for decision tree growth (#6954)
new 9b25f5d Fix docs links (#7005)
new a6b5ff2 add missing verb in whatsnew
new 46f81f0 Updated docstring for bootstrap argument of IsolationForest (#7095)
new dcca31c Modify v0.18 DeprecationWarning messages (#7067)
new 5085a7f add versionadded for MAE (#7105)
new cb4f4e1 DOC: fix spacing in forest mae versionadded (#7106)
new 7de6e70 [MRG + 1] add "versionadded" tags to min_impurity_split docstrings (#7093)
new ce61232 [MRG+1] Check for bad labels in confusion_matrix. (#6958)
new 7bde7e7 doc: fix early stopping indentation in what's new (#7108)
new 7161755 [MRG+1] Added text and logo for ottogroup testimonial (#6802)
new 331964e [MRG+1] DOC Modified the navbar menu to be responsive with mobile. (#7098)
new b8be019 [MRG + 1] load_iris dataset: added return_X_y option (#7049)
new e4b837c Removed unused imports
new 9539c0c [MRG + 1] ENH show no warning with chi2 of empty feature (#6978)
new d8db108 Fixed libsvm call with unicode kernel. Added corresponding test.
new 9e913c0 Merge pull request #7064 from Erotemic/quickfix_py2_libsvm_kernel_unicode
new 91129f3 Merge pull request #7119 from jrfiedler/remove-unused-imports
new d2dca4e COSMIT fix python2 -> python3 in comment
new f2df3db ENH TfidfTransformer.transform() performance bug fix (#7125)
new 928f724 [MRG] fix #5269: Overflow error with sklearn.datasets.load_svmlight (#7101)
new 1e2123d DOC rm obsolete DATASET_PROPOSAL.txt (#7133)
new 2a9492b [MRG] MAINT Removing more deprecated stuff for v0.18 (#5528)
new ca4e802 [MAINT] Install sphinx-gallery v0.1.0
new 17885af conf.py integrate sphinx-gallery
new 04116ce update image sources namespace
new bd5cecc update references link namespace
new 3d79f03 update reference namespace in gallery scripts
new 7ec5447 Add carousel
new d6be865 References to examples
new 8034b29 more examples references
new 96f6162 [MAINT] Update to sphinx-gallery v0.1.1
new e2e17ed [MAINT] update to sphinx-gallery v0.1.2
new 4773dbb Remove custom touch to backreferences files
new 83b21a4 Sphinx-Gallery has to be loaded after autodoc
new 8b46c61 Python 2 backwards compatibility in example
new e10a272 Fix example to use rst syntax in notebook comments
new 90fe87f Extra missing links complained by sphinx
new acef8cd Sphinx-doc absolute path for auto_example images
new 40169b9 Merge pull request #4658 from Titan-C/sphx-glr
new c6f6712 Contributing statement (#7097)
new 0493d71 fix of typo (#7137)
new 1b6c84d fix indent in whats_new and fix indent in datasets/base.py (#7138)
new ba2bcde Fix typo in example feature_stacker.py
new 913967b Fix typo (#7145)
new 5bddfdb add load_breast_cancer to API reference (#7149)
new 05dfe6c Correct Deprecation of DPGMM and VBGMM. (#7124)
new 1bcd6c3 fix MultiOutputEstimator fit return docstring (#7150)
new 89ff4cf fix some sphinx warnings in whats_new.rst (#7151)
new c98adf7 [MRG] load_breast_cancer dataset: added return_X_y option (#7152)
new 12d5f07 [MR] Speed issues in sample_without_replacement - bugfix (#7104)
new 8994d0e [MRG+1] added return_X_y option to toy datasets in sklearn.datasets (#7154)
new 4f71f3b [MRG+1] Dpgmm alpha (#7028)
new fc66544 cosmit
new 4c7753c fixed typo
new a453cd0 Merge pull request #7165 from tKammy/fixed_typo
new f50790c DOC Add LabelKFold in _BaseKFold's docstring (#6344)
new 8ad12ed Use pgtol parameter in fmin_l_bfgs call (#7167)
new 65b7d7a [MRG+2] Modification of GaussianMixture class. (#7123)
new 1f8eaac TST make test_forest robust to platform variability
new c99aada DOC Typo: consequective -> consecutive (#7171)
new 8f8c3d2 [MRG] Check for NaN or Inf in metric input (#6976)
new c6136af Add spherecluster related package
new 916b31a Address reviewer comments
new 37dbb1c [MRG] Make Silhouette_score support sparse X (#7170)
new 252b356 FIX broken NMF test with numpy 1.7.1
new 4327acb STYLE trailing whitespace
new 2714b04 FIX broken iforest test under numpy 1.7.1
new d96c05a Merge pull request #7172 from jasonlaska/patch-1
new 96f6ec0 [MRG] extending tfidf documentation (#7015)
new 0cffdfa BUG fixed a typo in ``sklearn.gmm`` (#7182)
new f893565 [MRG+2] ENH: (minor) add quantile_low/high parameters to robust scaler (#5929)
new 1f182cc Fix -np.infty in GaussianMixture. (#7180)
new 02806e9 cosmit
new d2c04c8 Doc minor fix ensemble.rst (#7186)
new 7b3c467 [MRG] Add whats_new about fixing example (#7184)
new 72fd2f5 rephrasing
new 617f0ca DOC fix Olivier's misspelt name
new dc6706e [MRG] edit citation indentation in about.rst and add gsoc info for '15 '16 (#7191)
new 6683c61 Merge pull request #7143 from iver56/patch-1
new 7e55d99 FIX broken test when run with arch -i386 on OSX
new 42120e5 [MRG+1] Rename CV params n_{folds,iter} to n_splits (#7187)
new 0e1fd12 DOC Correction: max_depth is effective when max_leaf_nodes is not None (#7183)
new 55de9bb DOC improve formatting for learning_rate docstrings
new c31ad7a [MRG + 1] [MAINT] Remove non-trivial logic during kernel initialization (#6963)
new 668b329 FIX make HuberRegressor tests stable under 32 bit Linux (#7196)
new 974639f Explicit warnings in model persistence documentation (#7157)
new 9d0c2dd [MRG] DOC updated normalize param docstring (#7161)
new 5856a2c clarify splitting sparse data always outputs csr matrix
new 24af423 edit docstring for arrays argument as well
new 8b6753d remove accidentally added whitespace
new 07e0dd3 removed versionadded for arrays param and fixed spacing
new 19d6d92 [MRG+1] Fix for "_transform_selected" not copying when "selected='all'" (#7201)
new 5f2297e feature: add tests for sparse matrices
new da6c5c2 try to fix travis error
new 6766aea be more explicit about purpose of test
new a55fd92 Merge pull request #7199 from nelson-liu/edit_cv_sparse_docs
new 70642c0 GaussianNB now support sample weighting
new a18344e Merge pull request #7213 from zhengruifeng/doc_fix
new 6e1418e ValueError that is thrown by _check_param_grid method now includes parameters name when values of a parameter have incorrect type.
new 454b0f2 minor wording fix
new a212b1a Merge pull request #7217 from ClimbsRocks/patch-9
new 444cf51 fixing ElasticNet sparse decision function to match output with dense output
new 076d955 test case for ElasticNet multiple output matching with dense
new 540e2a0 pushing Transpose into dot product
new 02cd2fb removing make_sparse_data call
new fe20981 removing extra fit call and cleanup code
new 2d39122 droping extra y
new 388df6b fixing alignment
new fa8fe85 update what's new + simplify test
new 5c6409c fix issues with manifold tests throwing pep8 errors (#7209)
new 214a482 ValueError that is thrown by _check_param_grid method now includes parameters name when values of a parameter have incorrect type.
new fa6b88c Merge branch 'master' of https://github.com/b0noI/scikit-learn
new 39a04f1 update setup.py PyPI trove classifier section (#7197)
new f7f1b96 "values" has been changed ot the "value" in the ValueError message.
new 277b058 [MRG] Remove heavy memory footprint in BaseBagging due to OOB scoring (#7118)
new 59bf211 Minor doc fixes in pairwise metrics (#7227)
new 5e9e941 Text of the ValueError in _check_param_grid has been changed.
new abee34e phrasing
new 040a766 [MRG] Fix TSNE init as NumPy array (#7208)
new 234d256 [MRG] Add homogeneous time series cross validation (#6586)
new 114d8b1 ENH Better error message when refit=True. (#7234)
new 084ef97 [MRG+2] ElasticNet and Lasso now support float32 dtype input (#6913)
new 6028e42 fixed log_loss bug
new 79406f4 fixed error message when y_pred and y_test labels don't match
new d97a25f Wrap up changes to fix log_loss bug and clean up log_loss
new 104e09a Add labels argument to log_loss to provide labels explicitly when number of classes in y_true and y_pred differ
new d6299c0 DOC: minor docstring format fixed (#7249)
new a7d748b Rename `TimeSeriesCV` to `TimeSeriesSplit` (#7245)
new b3e122a [MRG+2] parallelized VotingClassifier and sample_weight support (#5805)
new 50ab94d MockDataFrame.__array__ should take an optional dtype
new 45e9c2f NotAnArray.__array__ should take an optional dtype
new 68b4c68 Merge pull request #7252 from lesteve/fix-mock-dataframe-check-array
new 52bfd25 fix error in boolean mask usage in GaussianNB. (#7258)
new acf8368 [MRG + 1] doc: specifically address reinforcement learning in faq (#6479)
new 9b2e53e Rename smaller-is-better scoring metrics
new 7e079c0 Update tests to new scorer names
new 3b95d5f Fix deprecation warning for 1d matrix input (#7263)
new a9bf914 Fix a typing issue in expected mutual information (#7240)
new ef64969 Introduce deprecation warning and fix tests
new e8f3044 Add class example for KMeans
new dcb3165 TST remove print statement in gmm test, remove verbosity in mlp test.
new 002ff12 fix some warnings in test outputs.
new 9d695d7 Keep old metric names for deprecation period
new d464972 Keep old metric names in tests
new 7f4d279 Minor docstring clarification (#6926)
new 58b35d8 DOC Updates sklearn naming convention for consistency (#7268)
new b8b31dd [DOC] Capitalizes "C/C++" from "c/c++" (#7273)
new 0585462 Tests that are checking that _grid_search method throws correct ValueError have been added.
new 401d2a1 Test method test_grid_search_incorrect_param_grid has been renamed to test_grid_search_param_grid_includes_sequence_of_a_zero_length.
new aaf203d Merge pull request #7264 from MridulS/kmeansdoc
new 42fe520 Do not show deprecated scorers in list of valid names
new 3250f15 [MRG + 1] Rebased navbar fix (#7202)
new 1e2b443 MAINT/DOC: pngmath deprecated for sphinx >= 1.4 (#7279)
new ebb0645 DOC reference CalibratedClassifierCV in SGDClassifier.predict_proba (#7281)
new 5b20d48 [MRG] ENH enable setting pipeline components as parameters (#1769)
new 845e702 [MRG+2] Make `enet_coordinate_descent_gram` support fused types (#7218)
new 4566251 [MRG+3] Add flake8 linting of the diff in Travis (#7127)
new 47eae84 MockClassifier has been added to the _grid_search tests.
new 3d16c47 Do not remove log_loss scorer during deprecation period
new 09cd4c7 Distinguish instances from functions in deprecated
new be94946 Update joblib to 0.10.2
new 03e3012 Exclude sklearn/externals from diff for flake8
new 0a0bf24 Revert "ENH: Add indicator features to imputer output (#6607)" (#7292)
new 6a2b4f7 [MRG] identity activation function for MLPs (#7267)
new e2648b1 classes parameter renamed to labels in hamming_loss()
new c5f19a4 Fix ConvergenceWarning's in tests
new f0862f7 [MRG+1] Bayesian Gaussian Mixture (Integration of GSoC2015 -- second step) (#6651)
new 82f913d rename unveil_tree_structure example to enable CI on it
new f906b9f Lines over 81 chracter length got reformatted.
new a4f632f [MRG] Update joblib to 0.10.2 (#7290)
new e94c35d ENH make validation message easier to understand (#7294)
new f7bdba2 Merge pull request #7300 from nelson-liu/rename_unveil_tree_structure
new bfbc0bc Merge pull request #7282 from asnt/fix-convergence-warnings
new c931bf0 FIX #7293: StandardScaler.with_mean in preprocessing doc
new 18055e8 ENH/MAINT/TST Complete deprecation of default average in P/R/F metrics
new 367d73f PEP8
new 011472a Go back to warning all callers
new db56cf4 Merge pull request #7216 from b0noI/master
new d9428de Remove unused import
new f07dbd4 add directions for contact to AUTHORS.rst
new 3ea1c63 gitter is not for issues
new 9f65998 fix regressor var name
new 61bfe8a make more explicit which checks are run
new 2ab7e34 clf = Perceptron
new 6787da4 make it clear that linear_model.Perceptron is a classifier
new b4661b1 colon
new 6297815 BLD: Add 'alldeps' extra for installing with pip (#6990)
new 7fc4176 pep8
new 88a395a Link to mean_squared_error function
new ccad485 Merge pull request #7316 from totalgood/doc-clf-reg-patch
new 0f2a00f Remove dtype conversion warning (#7265)
new 2b11962 Move comment on relationship between labels and pos_label to docstring
new 49fb295 [MRG+2] Fix repr on isotropic kernels when a 1-D length scale is given (#7259)
new f4419a9 Small documentation fix
new fed401c change decision tree example to use pydotplus for compatibility with Python 3
new f916449 Merge pull request #7317 from amueller/common_test_names
new ce3c84f DOC fix code formatting
new a627a07 [MRG+1] Fix for test_neighbors_metrics() check kd-tree algorithm when possible (#7339)
new 3dcfb56 [DOC] add release dates for each version on whats_new page (#7225)
new d201708 DOC move changelog heading to correct place
new 287a329 [MRG] Add link to AUTHORS.rst in readme (#7320)
new 2ba3478 Keep abstractmethod decorator
new b9d16b2 Merge pull request #7342 from themrmax/pydotplus-decision-tree-plotting
new 927f00c fix warning and behavior in randomized_svd wrt power iterations
new 4a72792 change default iterated_power to auto.
new 5daee96 DOC fix iterated_power='auto' in doctests
new 6673f75 Update examples to new scorer names
new 5305861 Fix flake8_diff.sh when Travis runs in a fork
new 6c12514 [MRG] DOC removed redundant word from KNN docs (#7345)
new 4dbab26 results_ --> cv_results_; "test_mean_score" --> "mean_test_score" et al.
new 0f11b0c @ogrisel's suggestions
new 35bb1c6 Merge pull request #7324 from raghavrv/rename_results_
new a03db89 [MRG+1] Support of the collections.Sequence type has been added to the _check_param_grid method from model_selection. (#7323)
new 680ab51 [MRG + 2] remove complicated equality checks in clone as __init__ shouldn't touch anything. (#5540)
new 6972d6c DOC minor doc fixes for sphinx. (#7357)
new 22e4305 TST fix test to match altered deprecation msg
new 2c4b43c change installation description to not discourage people from installing scipy or numpy with pip. (#7313)
new 62ad5fe FIX Revert unintentionally committed code
new 3935404 Test that warning is raised when using deprecated scorer
new 4b2304f Merge pull request #7261 from betatim/negative-scorers
new 2bf96df Merge pull request #7304 from jnothman/binary_prf_mine
new 49d126f [MRG + 1] FIX use high precision cumsum and check it is stable enough (#7331)
new 31a4691 [MRG+1] fix sampling in stratified shuffle split (#6472)
new b4872fe [MRG] add warning when importing old or new pickle. (#7248)
new 105d033 [MRG+1] Add hyperlink and example for kappa (#7214)
new a86fd7f Add Dirichlet process prior to BayesianGaussianMixture (#7386)
new ba7cf38 Removed isclose from _binary_clf_curve. (#7353)
new 12a0125 DOC fix for svd_solver in PCA docstring
new 8da5092 [MRG] Fail imputer early when number of features are not the same in fit and transform (#7374)
new 9a12555 [MRG+1] ENH/MNT Rename labels --> groups in CV tools (#6660)
new 802814e make export_graphviz return string if out_file is None
new 51679f9 remove unused StringIO.get_value
new 95655ac fix lint issues
new b966b44 DOC fix class.rst for Label / Group CV tools
new e1b5d60 MLP bug fixes with random state and loss, removed decision_function, and added test
new 1e8ca7d ENH more informative validation error message
new 5a018a3 Merge pull request #7393 from ogrisel/mlp-multilabel
new 3388a05 ENH raise error when scoring=sklearn.metrics.{classification,ranking,...}.*
new f02fce8 ENH rename l-bfgs to lbfgs in MLP for the sake of consistency
new c3b2115 MNT Remove unused constants from public API(?) (#6517)
new 34c8227 link to scikit-learn tag on stackoverflow, minor formatting.
new b18b161 [MRG+1] TST Stronger test for _check_is_permutation (#7395)
new c726085 DOC mention true positives etc in confusion matrix docs (#7392)
new 0b818d3 [MRG+1] edited the FAQ to fix a typo and include info regarding global random states (#5927)
new 3dffa08 FIX 7155: GridSearchCV predict_proba delegation to SDGClassifier
new 3e12412 ENH rename algorithm to solver in MLP for consistency
new 069c892 Merge pull request #7309 from amueller/how_to_ask_questions
new c0a04a3 Fixing typo (#7402)
new f241f5f Fixed issue #5830, capitalization in advanced installation documenation
new 474483e Added user guide link in function_tranformer docstring (#5785)
new b4b23a3 only return string if out_file is None
new 284ae9c fix indentation
new a31cc79 Merge pull request #6400 from scikit-learn/radneigh-njobs
new 2a0bd7b fix lint error
new 940f194 Merge pull request #7396 from ogrisel/mlp-optimizer
new 44f1ad4 Merge pull request #7401 from ogrisel/sgdclf-predict_proba-delegation
new 3d8d0de DOC add what's new entry for #7159
new 8dba703 Merge pull request #7404 from amueller/capitalization_rebase
new 1f381ae Fixed doc for issue #7409 (#7410)
new 3d1a2fd COSMIT don't use docstrings in tests (gp kernel tests) (#7399)
new 873f3eb Fix #6994: MLP partial_fit with unseen classes (#7358)
new 0d0b484 TST fix generated test names in case where test fails
new e5fede5 MAINT master is now 0.19.dev0
new 4d9fab5 Release 0.18rc
new 2e5c102 make pickle version test more stable (#7415)
new f75ecd7 make pickle version test more stable (#7415)
new b687ab3 Release 0.18rc1
new 4d9a12d [MRG] add whatsnew for #7248 (unpickle version warning) (#7400)
new 1578edd TST move test naming and use inspect
new ba5563f retain default behaviour of out_file=tree.dot
new d9bd30e FIX use == to avoid relying on string interning
new 11d34ed FIX use == to avoid relying on string interning
new ee0f9b1 DOC fix intercept_ and coef_ docs for LogisticRegression(CV) (#7420)
new c4552cf DOC fix various syntax in whats_new (#7421)
new db4e244 ENH: display the original exception (#5906)
new 268b6ea use sparse contingency matrix for supervised cluster metrics Remove max_n_classes option
new 2432451 DOC fix various syntax in whats_new (#7421)
new afddc75 ENH: display the original exception (#5906)
new d3fafa1 use sparse contingency matrix for supervised cluster metrics Remove max_n_classes option
new b1bd976 FIX missing import in setup.py
new 86ca052 FIX missing import in setup.py
new cef2b62 Release 0.18rc2
new 016f3d5 lda_qda doc: QDA vs Naive Bayes correction (#5997)
new 4272811 added contributors to whats new for 0.16 and 0.17 (#5840)
new 500b768 add depreciation warning for out_file default
new 7dfed85 use double quotes
new 19aebe2 use == instead of 'is' for string comparison (#7422)
new 9864cd5 DOC add species distributions dataset to classes.rst (#7430)
new 205b3a1 edit depreciation warning and add versionadded to docstring
new f921231 only show DepreciationWarning if out_file paramater is actually missing
new 02332f5 use == instead of 'is' for string comparison (#7422)
new 5e42ecf DOC add species distributions dataset to classes.rst (#7430)
new da43d3e added contributors to whats new for 0.16 and 0.17 (#5840)
new e9e5f18 lda_qda doc: QDA vs Naive Bayes correction (#5997)
new 396dc39 Change flake8_diff.sh logic for branch in main repo (#7437)
new b679dd1 Change flake8_diff.sh logic for branch in main repo (#7437)
new 941921f [MRG] Text vectorizers memory usage improvement (#7272)
new e222058 Make named_check private
new cefd3ca [MRG + 1] DOC Default parameter info for KernelPCA (#6035)
new 1054e07 [MAINT] Upgrade to Sphinx-Gallery 0.1.4 (#7354)
new f3baca6 [MRG+2] Faster isotonic rebased (#7444)
new 97c8099 [MRG+2] Faster isotonic rebased (#7444)
new c1cbfd1 ENH: display the original exception (#5906)
new 610879f fix typo in DBSCAN explanation
new cb462b5 remove unnecessary comma
new 466387e Merge pull request #7447 from stvn66/stvn66-dbscan-docs-typo
new 2fce9ae Provided a fix for issue #7140 - Minor discrepancy in hashing feature transformation example.
new 171b31d DOC fix deprecation warning in faces decomposition example
new b69d5fa remove lambda for flake8 linting
new 93567dd [MRG+2] DOC: update persistence documentation with Joblib new behavior (#7434)
new 77d9c09 fixing failing faces decomposition example
new 0c2264d replace RandomizedPCA by new API in remaining documentation
new 29992d9 add explicit comment in face decomposition example
new bd4e00b [MRG] DOC Example: Fix minor standard output formatting (#7456)
new 687615d Merge pull request #7449 from elena-sharova/hashing_feature_transform_example_#7140
new 28bcb43 [MRG + 1] DOC replace RandomizedPCA with PCA and svd_solver='randomized' in documentation (#7450)
new 54b0e4b Add OneVs{One,All}Classifier._pairwise: fix for #7306 (#7350)
new 46d337b Merge pull request #7412 from jnothman/fix_test_descriptions
new 14666a8 add object inheritence to class definition
new 070093e [MRG] ENH: Allow specifying arbitrary kernel for semi-supervised learning. (#5762)
new 3dcc8be Merge pull request #7389 from jnothman/sniff_bad_scoring2
new 1ea557e Merge pull request #7390 from themrmax/export-graphviz-to-string
new 8a7948a MAINT remove unneeded import (#7465)
new 9b56104 [MRG] Add Deprecation Warning to address making "batch" the default learning method in LDA in 0.19 release (#6999)
new 3e7a7ca [MRG+1] Fix regression in silhouette_score for clusters of size 1 (#7438)
new 1dff0ae clean up deprecation warning stuff in common tests
new a1eb062 Reorganize README
new 1885297 Remove write clone
new 154635e Update install
new 8746c1c Fix changes re: @amuller
new b8641e6 Update mailing list url
new c9e227b Merge pull request #7368 from amueller/deprecation_warnings_tests
new 9d9aaaa Add @raghavrv suggested changes
new a5feb12 added contributors for 0.18, minor formatting fixes.
new 6e48ab7 s/Contributors/Code Contributors/g
new eda7479 Merge pull request #7018 from willingc/update-readme
new f31b946 Addressing issue #7468. (#7472)
new b1cc108 [MRG] bump master to 0.19-dev (#7413)
new c8096a0 add some more entries to the mailmap
new 32d1236 [MRG+2] FIX adaboost estimators not randomising correctly (#7411)
new 62612be more mailmap and whatsnew additions
new bd5e85f Fix typo in whats_new.rst
new 98678ba Avoid creating an ambiguous reference for usptream/master
new c9f42b6 Merge pull request #7428 from amueller/contributors018
new 85f2900 Sync docstring and definition default argument in kneighbors (#7476)
new d8a1422 Minor k_means_.py cleanup.
new 4ed0a6a Minor test_k_means.py cleanup.
new 536eb01 Revert PEP8 fixes.
new 7f076d2 Merge pull request #7480 from omtcyfz/minor-k-means-cleanup
new 5fcc7e5 DOC: Added Nested Cross Validation Example (#7111)
new 8a95476 [MRG] Text vectorizers memory usage improvement (#7272)
new 0a090f8 [MRG + 1] DOC Default parameter info for KernelPCA (#6035)
new ffd43ff fix typo in DBSCAN explanation
new 8e3ac46 remove unnecessary comma
new f873d1c [MRG+2] DOC: update persistence documentation with Joblib new behavior (#7434)
new 3521961 Provided a fix for issue #7140 - Minor discrepancy in hashing feature transformation example.
new aaa01bf DOC fix deprecation warning in faces decomposition example
new eb4f0f4 fixing failing faces decomposition example
new ae198c1 replace RandomizedPCA by new API in remaining documentation
new 4357a6e Add OneVs{One,All}Classifier._pairwise: fix for #7306 (#7350)
new 2a84390 TST fix generated test names in case where test fails
new 950cf4d TST move test naming and use inspect
new fd11ca8 Make named_check private
new 3505b03 ENH raise error when scoring=sklearn.metrics.{classification,ranking,...}.*
new 6a78ba0 make export_graphviz return string if out_file is None
new c43bafa MAINT remove unneeded import (#7465)
new 2f43bf2 [MRG] Add Deprecation Warning to address making "batch" the default learning method in LDA in 0.19 release (#6999)
new 6bc1257 [MRG+1] Fix regression in silhouette_score for clusters of size 1 (#7438)
new a27564a clean up deprecation warning stuff in common tests
new eecfdda Reorganize README
new aebf7f6 Addressing issue #7468. (#7472)
new d25579a [MRG+2] FIX adaboost estimators not randomising correctly (#7411)
new 5ac9202 Fix typo in whats_new.rst
new d50390f added contributors for 0.18, minor formatting fixes.
new 859776a Sync docstring and definition default argument in kneighbors (#7476)
new e3db699 DOC: Added Nested Cross Validation Example (#7111)
new 3a106fc Fix _get_importances. (#7487)
new b444cc9 [MRG+2] Timing and training score in GridSearchCV (#7325)
new af41bfd DOC insert missing whats_new heading
new 01edccb [MRG+2] Timing and training score in GridSearchCV (#7325)
new 8e3f888 REL changes for release in 0.18.X branch (#7414)
new 576eccb no fixed width within bold
new 61d2ad5 DOC Attempt to impose some order on What's New 0.18
new 73ed6e6 DOC more what's new subdivision
new ce3a61d fix rebase messup
new 2705e1b fix scoring function table
new 4ae77df minor fixes to whatsnew
new 7901190 fix lbfgs rename (#7503)
new 644dbcc fix lbfgs rename (#7503)
new 191a93d minor doc fixes
new 60a1356 [MRG + 1] More versionadded everywhere! (#7403)
new 38030a0 [MRG + 1] More versionadded everywhere! (#7403)
new da118d0 [MRG+3] Fix min_weight_fraction_leaf to work when sample_weights are not provided (#7301)
new 8207185 Fix typo in PCA docstring
new a545864 DOC: trivial rst fix to whats_new.rst (#7511)
new 442d944 [MRG] DOC Attempt to impose some order on What's New 0.18 (#7496)
new c887653 [MRG+1] #7466 add pandas to CI jobs (#7499)
new 5bb9830 minor doc fixes (#7514)
new 45e3431 DOC: Tidy up mds module documentation. (#7453)
new 4773044 DOC release date in what's new (#7518)
new 3953a9a add feature_name to diabetes dataset (#4477)
new 32236ff [MRG+1] minor link fix for SAG paper. (#7523)
new 05e702c MNT Tags built by sublime ctags may be of form (.)tags* (#7494)
new 2f4b661 [MRG+1] correct condition in decision tree construction (#7441)
new 69ca580 [MRG] CI build web site from branches (#7498)
new c336a43 [MRG+1] micro-optimize HashingVectorizer and FeatureHasher (#7470)
new ef8fa61 Merge tag '0.18' into releases
new e78c6e6 Merge branch 'releases' into dfsg
new e804609 Merge branch 'dfsg' into debian
new 24dfefb changelog + dropped changesets
new 218f90e refreshed patches
new 595703c a little patch for PY3_OR_LATER import
new 20d0b00 DOC clearer what's new for min weight leaf optimisation
new 69c8382 [MRG+1] Added 'average' option to passive aggressive classifier/regressor. (#4939)
new 8442eea [MRG+1] minor edits to multiclass documentation (#5837)
new fd2d1bb add warning about python 2.6 being no longer supported (#7532)
new 62c86f0 [MRG + 1] Raised value error in HashingVectorizer and CountVectorizer (#7507)
new ec32689 [MRG+1] Fixing error with step parameter #7467 (#7469)
new e108068 learning_curve takes error_score parameter and propagates it. (#7397)
new 3619bd3 BUGFIX _store train_scores only if return_train_score is True (#7535)
new dee786a DOC fix typo in NearestNeighbors docstring (#7545)
new b2cb502 debian/patches/deb_use_system_joblib sklearn started to use other submodules of joblib directly, so previous stub for import did not work. Now update local namespace of the stub entirely with definitions from joblib.__dict__
new 0100685 debian/rules - allow joblib to parallelize to 2 processes, to overcome recent joblib (0.10.2) bug with 0 value
new b86e6f3 extra word in code comment (#7561)
new 3fbfb1b fix typo in RandomizedSearchCV docs (#7564)
new d356027 DOC return values of sample() function in mixture/base.py (#7571)
new 2b18a81 debian/rules - skip some minor failing tests on i386 and armel for now
new 280c70b add numpy versions for backports / fixes
new 20912ed FIX flake8_diff.sh git repo unshallowing (#7575)
new 1dd5e26 Rangespan testimonial has misformatted link (#7576)
new 2437535 DOC FIX: update warning about random seed with scipy (#7577)
new b32897f [MRG+2]: Fix Ridge GCV with centered data (#6178)
new c4b47ff DOC add what's new for #6178
new d5b66f9 [MRG+1] Docs: refer users to the other encoders to do one hot encoding for labels. (#7315)
new fa6fafc [MRG + 1] fix test_20news_vectorized (#7431)
new 1fa3bf7 [MRG] DOC Fixed the display of search results (#7517) (#7560)
new 9551ec8 DOC add spaces before colons in docstrings (#7589)
new e17d5c9 [MRG] Fix GaussianProcess batch predict in Py3k #7329 (#7330)
new 92f4731 changed address for nose, additionally, should nose2 be considered for testing since the nose project web site suggests new projects should consider using Nose2, or py.test?
new 3beec40 DOC add link in the contributing doc for rebasing on master (#7541)
new f1b57df got rid of extra line
new 0a1f6cd [MRG] FIX Calling fit_transform instead of transform in Pipeline's fit_predict (#7585)
new 45cb11d [MRG+2] DOC add info to conventions for multi-label fitting (#7519)
new fd40cbc add a test
new 1e3da55 Update install instructions for Windows (#7550)
new 21a3c19 hanged address for nose (#7592)
new 6c8a1b1 fix error in test code
new 3d558fa Merge pull request #7525 from rickiepark/master
new 9b2aac9 [MRG + 1] [TST] (half-cosmetic) use less nose.tools import to simplify future transition to py.test (#7384)
new c948319 BUG: handle integer inputs in LLE (fixes #6033) (#6282)
new 36e67a9 Fix test suites (#6348)
new 73bb593 fix an indentation issue in whatsnew (#7605)
new cee48cd removed cv_ prefix (#6252)
new 689a188 DOC numpydoc requires space between name and column (#7601)
new ea752cd [MRG + 1] Added some documentation for loading external datasets (Issue 3808) (#7516)
new 5c98812 [MRG + 2] updated iris svm example colormap so the three species can be distinguished (#7611)
new 5f80525 [MRG] Documentation describes the Need Contributor label (#7599)
new baeafbb DOC pos_label can be string (#7607)
new 610461c TST ensure relationship between predict_proba and predict_log_proba (#7612)
new 33ed90d [MRG] FIX min_samples_split and min_samples_leaf validation for float vs int (#7604)
new 44acb33 COSMIT fix typo in docstring
new 8f938ee DOC fixed avoidable warning of test-doc (#7524)
new b01c8c4 DOC fix link format in reference for BayesianMixtureModel
new 7955ce0 Add whats new entry for #6282 (#7629)
new 868a58b [MRG+1] FIX Make sure GridSearchCV and RandomizedSearchCV are pickle-able (#7594)
new 5393386 [MRG] FIX regression: Pipeline.fit_predict uses fit_params as in 0.17.x (#7621)
new cbd3bca [MRG + 1] FIX: remove checks from PyFunc distance metric (fixes #6287) (#6288)
new dd8a6fa dev-7360: Explain the meaning of prefix [MRG + 1] and [MRG + 2] in the title of the pull request. (#7636)
new 0ae762e DOC paraphrase multiclass description
new 0b352a7 DOC What's new for #6288
new 2b0439c Improve robustness of LFW dataset downloader (#6112)
new 2221387 FIX n_iter_without_progress and min_grad_norm in TSNE
new e4a1d82 DOC what's new for #6497 and 0.18.1 section
new d8614a3 DOC better docstring for TruncatedSVD (#7651)
new cd0d46c MAINT make appveyor fail on old builds when PR is update (#6365)
new 7141dd4 DOC Removing deprecated DPGMM that was also not rendering correctly from classes. (#7606)
new ab18f68 DOC Fixed missing "Next" button (#7641)
new 0e12b2f DOC: fix the copybutton on the code blocks (#7634)
new 329b7ee dev-7369: Make common metric tests look nicer (#7620)
new 5e4f524 [MRG] edit releases link from sf to pypi (#7637)
new 53e6381 [MRG+1] Throw an error with explicit message if n_estimators is not an integer. (#7457)
new 78dbcb2 [MRG] fix #6101 GradientBoosting decision_function for sparse inputs (#6116)
new 65a4de5 DOC: fix return value doc for mixture.base._e_step (#7682)
new fa59873 [MRG+1] FIX unstable cumsum (#7376)
new 0198e2c warning for PCA with sparse input (#7649)
new 0653aac [MRG+1] CircleCI timeout extended (#7693)
new 647b7c1 DOC Changed Contributor's Guide to Development Guide #7690 (#7691)
new dad35f5 DOC mention JOBLIB_START_METHOD in crash/freeze FAQ
new 387f25c DOC use combined unicode chars in author names (#7706)
new 829efa5 [MRG+1] Learning curve: Add an option to randomly choose indices for different training sizes (#7506)
new 74e4c42 FIX #6420: Cloning decision tree estimators breaks criterion objects (#7680)
new 2caa144 [MGR + 2] fix selectFdr bug (#7490)
new cfc280d switch to multinomial composition for mixture sampling
new 55672f9 add shape assertions to test
new 82a6740 Update joblib to 0.10.3 version (#7696)
new 30b936d Remove temporary work-around for 0.15 release
new 707b6f9 [MRG+1] Added unit test for adding classes_ property to GridSearchCV, fixes #6298 (#7661)
new 716819b explain learning_curve(shuffle=True) test.
new 61a9a9b add missing links for users to whatsnew
new 568c002 [MRG + 1] Move n_iter and get_params invariance tests to common estimator_checks (#7677)
new 4e1c101 Use n_components=3 to test actual regression
new ee3e617 [MRG+2] adding multilabel support for score_func (#7676)
new cd714b1 [MRG] Added warning on keyboard interrupt during MLP fit (#7614)
new ad6f094 [MRG+2] switch to multinomial composition for mixture sampling (#7702)
new edcb513 removed parameter that was documented as attribute (#7711)
new f122efa Fix typo in OMP author name.
new 5c60f1f [MRG+1] Reorder EllipticEnvelope docstring. (#7734)
new 177ac84 [MRG + 1] Printing the total time in cross_validation (#7640)
new 74a9756 [MRG+2] Norm inconsistency between RFE and SelectFromModel (was _LearntSelectorMixin) #2121 (#6181)
new 7892edd Address #7733 - MultiTaskElasticNet user guide links to MultiTaskLasso (#7741)
new 8f4ebb5 r2_score - add more doctest examples (#7727)
new 4ddb744 [MRG + 1] Clarified error msg in plot_partial_dependence (#7673)
new 5adc832 BF: avoid importing from inside joblib (#7731)
new 0dfc9a5 [MRG + 1] ElasticNetCV: raise ValueError if l1_ratio=0 (#7591)
new 3c18735 [MRG+2] logit -> logistic in plot_logistic.py and minor visual improvements to the plot. (#7730)
new 0d87370 BF: do full pre-cythonization for older systems (borrowed from pandas)
new 5c2df21 Pre-cythonized
new 3290fab changelog entry
new bfcab0a skip test_non_meta_estimators on ppc64el to avoid FTBFS
new f260898 [MRG] Correcting length of explained_variance_ratio_, eigen solver (#7632)
new 3f4524e [MRG] DOC :issue: role to simplify what's news (#7657)
new 4da44c8 [MRG+1] replaced some assert_true(np.allclose(x, y)) with assert_almost_equal (#7742)
new 6b381ae DOC use target_names over named categories in 20newsgroups example (#7423)
new ff5c36e DOC Correct linking of TruncatedSVD (#7749)
new 73d3f03 [MRG + 1] FIX raise an error message when n_groups > number of groups (#7681) (#7683)
new 788a458 [MRG+2] LOF algorithm (Anomaly Detection) (#5279)
new 9d535ad DOC: Provide link to LDA and NMF in the example tutorial closes #5876 (#5984)
new 0ea8e8b [MRG + 1] fix bug with negative values in cosine_distances (#7732)
new 014dfbe BF: correctly depend on versioned _uncythonize, otherwise make is confused and does not see python-install2.7
new 379f54b [MRG+2] DOC correct docstring for sample_gaussian (#6957)
new 3ff22f5 Added citation for sklearn (#7759)
new 94c2094 [MRG+1] BUG: MultiLabelBinarizer.fit_transform sometimes returns an invalid CSR matrix (#7750)
new 061803c [MRG+2] Fixed n**2 memory blowup in _labels_inertia_precompute_dense (#7721)
new edc9e7f [MRG] ENH faster sample_without_replacement for recent numpy (#7703)
new e841996 [MRG] CI build pdf docs when master or version branch (#7747)
new 4c8f12d DOC parameter is called "sample_weight", not "sample_weights" (#7782)
new 10323f5 [MRG + 2] ENH add sample_weight support to Pipeline.score (#7723)
new 4ae1013 [MRG+1] ENH PCA variants now expose singular values (#7685)
new 6e50c8f [MRG+2] DOC framework for keeping API refs for deprecated classes/funcs (#7725)
new 38f6a91 [MRG + 2] FIX Be robust to non re-entrant/ non deterministic cv.split calls (#7660)
new 1e746e2 DOC Minor changes to README (#7791)
new c77003c [MRG] DOC Isolation Forest decision function doc - Clarify that it computes normality not abnormality. (#7792)
new aa57569 Change fit() docstrings (#7783)
new 2ddf0ce [MRG + 1] rfecv: verbosity: Set verbose threshold low bound from 2 to 1 (#7644)
new 99342b6 fix rst errors for pypi (#7800)
new b0ac236 DOC remove duplicate versionadded
new 304c67c COSMIT delete untrue and obsolete comment
new f907aef DOC add missing heading in what's new (#7780)
new 6a2d8d5 [MRG+2] BUILD Rewrite setup.py files to handle cython dependencies (#7719)
new 87cfad3 Fix typo in testimonials.rst
new 9dc9470 DOC More uses of :issue: in whats_new
new bd911ec [MRG] MAINT: Return self for fit in Spectral Biclustering and CoClustering (#7814)
new db3c095 [MRG+1] Warning raised by MultiTaskElasticNet.fit is now ConvergenceWarning. (#7806)
new d7c956a [MRG] FIX Validate and convert X, y and groups to ndarray before splitting (#7593)
new 02cc6f5 [MRG] TST Ensure __dict__ is unmodified by predict, transform, etc (#7553)
new 9fd70a8 [MRG+2] Fix for OvR partial_fit bug (#7786)
new 2e4b589 DOC Added bug fix #7786 to whats_new.rst (#7830)
new 46001a0 [MRG + 2] FIX bug in svm's decision values when `decision_function_shape` is `'ovr'` (#7724)
new 3b1541b [MRG + 3] OneVsRestClassifier: don't expose predict_proba and decision_function if base estimator doesn't support them (#7812)
new cd4806a Disable git pager in flake8_diff.sh
new 4502520 [MRG + 1] Update funding and website. (#7836)
new 8f1141b DOC markup typo in regression.py (#7837)
new 7272414 DOC : fix docstring of AIC/BIC in GMM
new 41e1b8f [MRG+1] label binarizer not used consistently in CalibratedClassifierCV (#7799)
new c56925a [MRG + 1] DOC adding :user: role to whats_new (#7818)
new f1ec430 Fix docstring typo (#7844) n_features --> n_components
new f32d257 [MRG+2] DOC adding separate `fit()` methods (and docstrings) for DecisionTreeClassifier and DecisionTreeRegressor (#7824)
new 9667ff2 [MRG + 2] Fixed parameter setting in SelectFromModel (#7764)
new 31ee1a8 [MRG + 2] FIX LogisticRegressionCV to correctly handle string labels (#5874)
new d3e1d4f We need to touch PKG-INFO when our pre-cythonized files are copied so setup.py does not try to regenerate
new 5a16dd7 DOC use the class_with_call template for kernels (#7813)
new 5230382 [MRG + 1] Fix numerical instability in LassoLars when alpha=0 (#7778) (#7849)
new 9d57e75 DOC fix typo on rescaled image sizes (#7864)
new fdb726d BF: use setup.py build_src for "make cython" (Closes: #7873)
new 56e3ba3 New upstream version 0.18
new d5d42ea Updated version 0.18 from 'upstream/0.18'
new fd94d7f Re-add debian/ dir
new 7391fb9 Moved packaging to Debian Science team
new 80fc9e7 Build-Depends: python-pytest, python3-pytest
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