[scikit-learn] annotated tag 0.5.dfsg created (now 73f9068)

Andreas Tille tille at debian.org
Wed Dec 28 13:10:55 UTC 2016


This is an automated email from the git hooks/post-receive script.

tille pushed a change to annotated tag 0.5.dfsg
in repository scikit-learn.

        at  73f9068   (tag)
   tagging  a3476be23a0e1fc1625be1d28f3ec7fd124cd8f8 (commit)
  replaces  0.4
 tagged by  Yaroslav Halchenko
        on  Mon Oct 11 09:58:21 2010 -0400

- Log -----------------------------------------------------------------
DFSG copy (removed libsvm, joblib copies) of scikits.learn 0.5
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Alexandre Gramfort (149):
      Merge branch 'master' of /Volumes/DAVID/scikit-learn
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      API: changing the way the parameters of Lasso+E-Net are optimized
      ENH : imroving documentation of lasso + enet paths function
      ENH : add LeavePLabelOut cross-validation generator
      ENH : adding support for mean-shift clustering with a flat kernel
      ENH: making data contiguous in memory in coordinate descent
      ENH: adding affinity propagation algorithm
      removing pl.show()
      ENH: adding exception raising
      Merge branch 'master' of github.com:agramfort/scikit-learn
      using staticmethod rather than property
      cosmit
      setting array as fortran in lasso + enet coordinate descent
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      MISC : renaming affinity propagation example
      broke glm to improve model selection
      ongoing work on glm with crossval
      Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
      Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
      Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
      continue improve glm cv
      Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
      fix glm cv
      Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
      fix frozenset
      BUG : fix in affinity propagation
      BUG : fix in stock market example
      BUG : fix with blas on mac os x
      ENH : moving bench_glm.py to benchmarks folder
      ENH : glm coordinate descent with BLAS
      BUG : fix blas support in setup.py with coordinate descent
      ENH : adding stratified cross-validation object
      ENH : fix doctests in glm, svm and lda
      adding grid search code
      BUG : fix doctests in neighbors
      BUG : fix doctest in datasets/base.py
      ENH : using digits in grid search example
      Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
      API : renaming GridSearch to GridSearchCV
      API : cross val generator in now given in fit in grid search object
      Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
      ENH : update grid search example
      ENH : first draft of RFE
      ENH : fix RFE + example
      ENH : improve RFE
      ENH : adding loss functions in metrics.py
      Merge branch 'master' of github.com:agramfort/scikit-learn
      Merge branch 'master' of github.com:agramfort/scikit-learn
      ENH : fix RFE and RFECV
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      ENH : allow grid search to work with lists of grids
      ENH : using BaseEstimator with GNB
      cosmit'
      ENH : adding BaseClassifier and BaseRegressor base classes
      ENH : using mixin rather than base class to bring score methods to estimators
      ENH : fix in svc.coef_ + cosmit
      ENH : fix in svc.coef_ + cosmit
      ENH : using np.logspace instead of np.linspace in paths
      ENH : using np.logspace instead of np.linspace in paths (after merge)
      API : making Y optional in fit for OneClassSVM
      FIX : removing duplicated example
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      ENH : new SVR example
      ENH : new SVR example
      Merge branch 'temp'
      ENH : improve QDA (taken from Matt Perrot)
      ENH : improve LDA (taken from Matt Perrot)
      ENH : improve LDA QDA example (taken from Matt Perrot)
      MISC: cosmit in LDA, QDA
      ENH : new example for LDA vs QDA
      ENH : removing old  example for LDA vs QDA
      ENH : attempt to have a default parameter for bandwidth in MeanShift algorithm
      ENH : adding doc to clustering module API : adding trailing underscores to estimates in clustering classes
      ENH: adding test for RFE and reaching 100% coverage
      ENH : adding doc for grid_search module
      MISC : cosmit nfeatures -> n_features, nsamples -> n_samples, nclasses -> n_classes
      FIX : adding missing doc file
      FIX : fix in subplot index in plot_iris.py
      ENH : removing unused preprocessing routines
      FIX : in Makefile that calls now nosetests directly
      FIX: removing useless imports
      ENH : more work on LARS (doc + examples)
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      ENH : continue refactoring of GLM module (doc, moving files, config etc.)
      ENH : more refactoring of GLM module
      FIX : fixing __init__ files for examples
      ENH : cosmit + fix examples for doc generation
      cosmit in examples
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      BUG : fix in Lars at the end of path + more tests (not working yet)
      ENH : using explained variance as score for regression problems
      ENH: on the use of explained_variance in mixin regressor class
      FIX : fix in handling of intercept in glm base and ridge
      TEST : adding test to ridge with no intercept
      ENH : draft of what could be a preprocessing routine (done by hand for now)
      FIX : prevent pipeline.score to do a fit which was wrong
      FIX : it may happen that pipeline.estimator do not implement predict
      moving ridge out of bayes.py
      ENH : adding PCA filter
      ENH : adding computation of percentage of variance explained by each component
      FIX : for doctest in PCA
      ENH : adding ledoit-wolf for robust covariance estimation
      ENH : adding FastICA class + example
      Merge branch 'add_ica' of http://github.com/bthirion/scikit-learn into ica
      ENH : more on ICA (examples + doc)
      Merge branch 'ica'
      FIX : fix ica vs pca example
      ENH : adding example + refactor in covariance module
      splitting ledoit_wolf.py in two files
      oups missing example file
      FIX: missing covariance.py
      cleaning the handling of the intercept in GLM linear models
      ENH : avoiding computing a pinv at each iteration in BayesianRidge
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      TEST : bayes
      FIX : imports in __init__ of glm
      cosmit in ARDRegression
      TEST : removing lda.py
      COSMIT : PEP 8 in PCA
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      FIX : RegressinMix score had flipped y_true and y_pred
      EXAMPLE : adding model selection example with train/test error graphical illustration
      EXAMPLE : making only one figure in model selection example
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      FIX __init__.py of glm.sparse
      EXAMPLE: add example of dense vs sparse Lasso on dense and sparse data
      FIX :  example of dense vs sparse Lasso on dense and sparse data
      passing Gram in LARS and LassoLARS
      ENH : more doc in lars.py, handling of intercept
      Merge branch 'fabian/python_lars_fast_2'
      fix doctests in lars.py
      more on lasso benchmark
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      FIX : preprocessing : scaler should not be allowed with axis=1 (opt removed)
      skipping BayesianRidge failing test
      using diabetes in lasso/lars examples
      removing assert for debug
      ENH : speeding up the LARS
      BUG: bug fix in LARS Lasso mode + speed improvement (we can still do better)
      adding LARS with Gram to benchmark
      ENH : speed in LARS by forcing X to be fortran ordered + cosmit (unactive -> inactive)
      pretifying the LAR / LARS examples to match with results on wikipedia page
      cosmit in docs of glm module
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      ENH : improvements in bayes
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      fix doc generation on plot_lasso_coordinate_descent_path.py example (pb on my box)
      DOC: updating doc on Univariate feature selection

Ariel Rokem (1):
      Added description of input parameters in svm.SVC docstring

Bertrand Thirion (10):
      introduced gael's implementation of fast_ica and debugged GS orthogonalization
      cosmit in fastica, that created a bug -- to be fixed
      updates in fastica and more tests
      completed and cleaned the tests
      improved the tests
      solved conflict in test_fastica
      added probabilistic PCA and associated tests; works reasonably well
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      fix in ppca

Edouard DUCHESNAY (6):
      add pipeline
      WIP pipeline
      Example of feature selection pipeline
      Merge branch 'master' of github.com:vmichel/scikit-learn
      Cosmetic on Pipeline
      Merge branch 'master' of github.com:vmichel/scikit-learn

Fabian Pedregosa (262):
      Add intercept to classes Lasso and ElasticNet
      Cosmetic changes in SVM doc.
      Start of 0.5 development cycle.
      Re-enable code that was removed for the release
      Cleanup gmm example. Removed unused modules.
      In LAR, normalize only non-zero columns.
      Add support in LAR for unnormalized columns.
      LAR: add a test for zero coefficients.
      Cosmetic changes in glm module.
      Add modules to top-level __init__.
      Rename ninter --> n_iter in the API guidelines.
      Add documentation to svm mdoule.
      FIX: bug in blas_opt detection.
      Link against compiled cblas in case this is not in the system.
      Bug fixing in setup.py
      Apply changes made by Olivier.
      One more tests on LibSVM with precomputed callable kernel.
      Refactoring of LibSVM bindings.
      Test for libsvm margin.
      More bugfixes for blas detection in setup.py
      FIX: numpy 1.4 fixes.
      Mark as known to fail some tests in test_hmm.
      Use numpy.testing instead of unittest to skip failing tests.
      Refine cblas detection on OSX.
      FIX: compatibility fixes for py3k.
      Initial support for sparse matrices in SVMs (scikits.learn.sparse.svm)
      Refine cblas detection on OSX.
      FIX: compatibility fixes for py3k.
      Initial support for sparse matrices in SVMs (scikits.learn.sparse.svm)
      FIX: bug fixing on sparse.svm.
      FIX: more bugfixing in sparse.svm.
      Doc updates to the svm module.
      Remove unused imports in qda module.
      Some doc for the svm module.
      Add target in to Makefile.
      Fix names and missing parameters in LinearSVC.
      Add support for sparse matrices in liblinear bindings.
      Add a reference to density estimation in GMM docs.
      Use relative imports inside scikits.learn.
      Remove unused imports from hmm module.
      Refinement and bugfixing in the liblinear bindings.
      More refactoring and bugfixing with liblinear.
      More refactoring in libsvm + liblinear.
      remove unused imports from setup.py
      run all tests suite through nose.
      move liblinear into its own folder
      Bug fixing in liblinear bindings.
      Added some failing tests.
      Bug fixing in liblinear bindings.
      XFail tests that fail (or are plainly wrong).
      Refactor layout of developer docs.
      Revert unwanted changes (aka ooooops!).
      Added tests to trigger failure on classes using liblinear.
      Refinement and bugfixing in the liblinear bindings.
      More refactoring and bugfixing with liblinear.
      More refactoring in libsvm + liblinear.
      remove unused imports from setup.py
      run all tests suite through nose.
      move liblinear into its own folder
      Bug fixing in liblinear bindings.
      Added some failing tests.
      Bug fixing in liblinear bindings.
      XFail tests that fail (or are plainly wrong).
      Refactor layout of developer docs.
      Revert unwanted changes (aka ooooops!).
      Added tests to trigger failure on classes using liblinear.
      Update the developer docs.
      Refactoring & bug solving in liblinear.
      FIX: fix liblinear predict in the multiclass case.
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      Add reference to pybrain from the ann docs.
      Update numpydoc (sphinx extension).
      Update svm rst doc.
      Add rst doc for logistic (empty for now).
      FIX: fix shape of support vectors in liblinear sparse.
      Update git information.
      Do not compare LinearSVC and SVC for exactly equal classification.
      Update git information in README.rst.
      Update sphinxext/docscrape from numpy's trunk.
      Refactoring in the svm module.
      Re-enable probability estimates in logisitic regression.
      Rename failing example in order to build the doc.
      FIX: fix generating the examples with some tricky uses of pylab.
      Update install information.
      Fallback to plain html for image rendering in index.html
      Fix bugs in dev docs.
      Updates on install doc.
      Update mailmap file.
      Updates on sparse.svm.SVC
      Remove install_requires line.
      Update README. Remove unused dependencies.
      Use str for printing parameters.
      Update setup.py.
      Change make setup to run setup.py
      Use repr for arrays in representation of classifiers.
      Use nosetest as testing tool in README.
      Allow setting variable PYTHON, NOSETESTS in Makefile.
      Doc: correct size of intercept in svm.
      Keep shrinking and probability as booleans in SVM.
      Refactoring: put all gmm examples in its own directory.
      Some love for the rst docs.
      Create new class NuSVR.
      Some patches for k_means.
      Backport changes in sparsetools to compile under python2.7.
      Add a pure-python version of LARS and refactor structure in glm.
      add README for gmm examples.
      Refactoring and doc for svm module.
      FIX: fixes for the lars lasso code.
      Fix build system.
      Fixes on the Lasso-LARS algorithm.
      Add benchmarks for the LARS algorithm.
      Change score function and add docstrings.
      Some work on the rst docs.
      more doc love.
      DOC: more work on svm module.
      Fix in LARS: specify manually number of interations for full path.
      Remove "debugging" traces...
      Fix doctests.
      DOC: some doc glm module.
      Convert to ndarray in Ridge
      DOC: glm module.
      FIX: fix intercept in LinearRegression.
      Doc: Add stub file.
      Benchmarks for some Glm classifiers.
      DOC: more on glm module.
      Fix typo
      Backport total_seconds from python2.7 to use in benchmarks
      Refactoring in glm.benchmarks.
      Rename nSV_ --> n_support_ in svm module.
      Some more doc for the glm module.
      Update doc svm.NuSVC
      Make BSD find happy.
      Compat: Add function copysign in the case of numpy < 1.4
      Do not import pylab globally in benchmarks
      Test for function utils.fixes._copysign.
      FIX: fix previous (stupid) commit.
      Welcome Virgile Fritsch
      Update docstring for BayesianRidge.
      DOC: update docstrings in glm.bayes.
      Update docstrings in svm and logistic.
      FIX: some fixes for bayesian doc in glm.rst
      DOC: some more fixes on BayesianRegression doc.
      Better error message in fit svm.
      Fix failing tests (sparse svm).
      Merge http://github.com/GaelVaroquaux/scikit-learn into gael
      Be able to do _get_params and _set_params in a recursive way.
      Fix imports.
      Temporary fix for Table of Contents not showing.
      Do not import pyalb in the benchmarks.
      LARS refactoring speedup Work In Progress!!!
      more on lars optimization
      more on lars speedup WIP
      LARS with precomputed kernel working.
      more work in lars optimization.
      More on LARS performance: triangular solving and cholesky deletes.
      A more challenging example.
      cleanup and fix some tests.
      More on LARS.
      more optimizations
      cleanup
      Update CBLAS files: add rotg, rot, trsv, remove tpsv.
      Good bye minilearn.
      Fixes for ref atlas.
      Some fixes for the atlas we ship.
      Add missing cblas_dcopy files.
      New theme for the web page.
      Add what's new page and a nicer sidebar for index page.
      Move glm related benchmarks to a common location.
      Performance improvements for LARS precomputed Gram matrix.
      Remove weight_label keyword from SVR.
      Remove Minilearn C sources.
      Add some developer information for the CBLAS we ship.
      Cosmetic changes to the cblas README.
      More love for the new web page theme.
      Refactoring in the svm module.
      Also remove Windows python extension (.pyd) in make clean.
      move sparse.svm into the svm module to match glm.sparse.
      Make a reference page in the docs.
      Update class reference.
      Cleanup in setup scripts.
      Bugfixing in setup.py
      cosmit.
      Cosmetic changes to svm tests.
      Correct default value of gamma in the svm docstrings.
      Refactoring in sparse SVM and bug solving (default value of gamma).
      Refactor svm tests.
      Fix doctest failing by last bug fixing.
      Add target test-doc to Makefile to test the RST docs.
      Remove obsolete debugging code from grid_search.
      Remove obsolete comments from doc.
      Cosmetic changes to grid_search_digits.
      Reduce import time.
      Polynomial kernel also uses keyword gamma.
      Fix typo in svm docs.
      Fix wrong link in doc.
      DOC: update doc about LARS.
      Add LARS, LassoLARS to class reference.
      Update funding info.
      Update API changes in feature_selection doc.
      Remove the ann module.
      Remove obsolte css code from the docs.
      Update docs on sparse svm.
      Correct spelling errors in svm documentation.
      Fix spelling errors in glm.rst
      Remove non ASCII characters from the docs (problem in latex output)
      Fix non-html (latex) generation of the docs.
      Fix RST (numpydoc) markup.
      Update organization in index.rst
      Update doc of neighbors module.
      Update links in svm doc.
      Update theme in web page (sidebar color)
      Fix malformed RST in BallTree.cpp
      Change doctests that are machine dependent.
      Update joblib to 0.4.5
      Comment out fragile joblib tests.
      Add test.py script that runs nose.
      Remvoe printing statements from tests.
      Adopt numpy naming scheme for __version__ attribute.
      Compatibility fixes for utils.graph.
      Use by default np.unique.
      Compatibility fixes for scipy <= 0.7 and numpy <= 1.4
      Compatibility fixes for old scipy.sparse.
      Do not include Makefile in final release.
      Add missing files to setup.py
      Add missing images
      Rename features --> feature_extraction to match module feature_selection.
      Update information on testing.
      FIX: bug in setup.py file from glm/sparse/
      Update web page.
      FIX: fix imports in example for renamed modules.
      Add function template for doc.
      Update web page theme.
      Update mailmap file.
      Add Feature Selection classes to the reference docs.
      0.5 changelog (Work in progres).
      DOC: better link that literalinclude.
      Combine user guide into a single file.
      Update changelog.
      Add png logo.
      Update MANIFES.in file.
      Update test.py and README.
      Simplify test machinery.
      Use ELLIPSIS for machine-dependent results in joblib.
      Comment out machine-dependent tests from joblib.
      Update Makefile
      Welcome Mathieu Blondel.
      Fix doctests from the tutorial.
      0.5 release candidate.
      FIX: some setuptools oddities.
      0.5.rc2 release.
      Still fixing distutils oddities ...
      0.5.rc3 release.
      Web page update.
      Add sparse ti glm/__init__
      Fix typo in docstring.
      Fix typo
      Fix doctests from RST docs.
      Fix links in about page.
      Cosmetic changes in install.rst
      You want the truth well here it is.
      Add a link to the PDF version of the docs.
      0.5 final release.

Gael Varoquaux (240):
      MISC: Make sure that the tests pass on numpy 1.2
      MISC: Comsit + replace some global seeds with RandomSate
      MISC: Rename to let the underscore RULE!
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      API: Create a base estimator class.
      ENH: improve base class
      ENH: Temporarily remove the typing for the base_estimator
      TEST/BUG: Test the BaseEstimator class and fix the repr
      Merge branch 'master' of http://github.com/agramfort/scikit-learn
      Cosmit
      MISC: Remove the #$! import *
      ENH: convert all GLM estimators to the BaseEstimator class
      BUG: Fix the OLS regression
      BUG: Fix constructors with arguments.
      BUG: Syntax error
      BUG: str of linear models now working.
      API: Change the type of params: turn this into a frozenset: unmutable and
      Merge branch 'master' of http://github.com/agramfort/scikit-learn
      ENH: Change _params to frozenset
      API: Change argument controling whether intercept should be fitted
      Cosmit in tests
      Merge branch 'master' of http://github.com/agramfort/scikit-learn
      API: Change the BaseEstimator and parameter signature logic.
      Cosmit
      Cosmit
      ENH: Convert LDA and clustering to use the new BaseEstimator
      MISC: Change the title of the documentation.
      Cosmit
      ENH: Make the clustering more usable
      ENH: Add an example of playing with the stock market
      ENH: Make SVNs fit to the  BaseEstimator API.
      ENH: Make SVNs fit to the  BaseEstimator API.
      Cosmit
      MISC: Put the nearest neighbors estimator to the BaseEstimator
      MISC: rename base_estimator.py to base.py
      BUG: Make sure that the docs still build with recent versions of numpy
      BUG: Make sure the docs still build with recent versions of numpy
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      BUG: Adapt the sparse SVM to the rename of base_estimator.
      MISC: Remove warning when compiling docs.
      MISC: Adding titles to examples.
      DOC: Document best practices/coding guidelines to make it easier for
      Cosmit
      MISC: Put the nearest neighbors estimator to the BaseEstimator
      MISC: rename base_estimator.py to base.py
      BUG: Make sure that the docs still build with recent versions of numpy
      BUG: Make sure the docs still build with recent versions of numpy
      BUG: Adapt the sparse SVM to the rename of base_estimator.
      MISC: Remove warning when compiling docs.
      MISC: Adding titles to examples.
      DOC: Document best practices/coding guidelines to make it easier for
      Cosmit
      ENH: Make the grid_search take instances of estimators rather than
      Add a setup.cfg to specify default nosetests behavior.
      MISC: 80 character bordel!
      Add a setup.cfg to specify default nosetests behavior.
      MISC: 80 character bordel!
      Cosmit: rename grid to iter_grid
      Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
      DOC: Beautify example
      Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
      MISC: Beautify examples.
      Cosmit
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      Merge branch 'master' of http://github.com/vmichel/scikit-learn
      ENH: rework univariate selection to reach a compromise between ease of
      ENH: First go at a help for cross-validated evaluation of a score.
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      Merge branch 'master' of http://github.com/agramfort/scikit-learn
      ENH: Add an example showing the dependency of SVC+Anova on the number of
      ENH: Add joblib as a bundle dependency.
      BUG: Fix doctests in pipeline.py
      BUG: Fix doctest in GMM
      ENH: Add script to update joblib dependency
      Cosmit: rename MixinClassif to ClassifMixin
      ENH: Make sure that in cross_val_scores the StatifiedKFold is used only
      Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
      MISC: Small change to contribution guidelines, suggested by Mathieu
      COSMIT: For the sake of underscores
      MISC: comment
      ENH: Add parallel computing for cross validation.
      BUG: Get the BaseEstimator to work even if there is not __init__
      ENH: Make the parallel cross validation more efficient.
      BUG: Fix cross_val_scores for unsupervised problems.
      ENH: Improve cross_val in parallel
      Merge branch 'cross_val_gael' of git at github.com:GaelVaroquaux/scikit-learn
      Misc
      ENH: Improve the repr for the BaseEstimator
      Merge branch 'gael' of http://github.com/agramfort/scikit-learn
      BUG: Fix a bug preventing from LinearModelCV to print.
      Misc
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      BUG: Fix forgotten import in example
      MISC: Remove pointless ellipsis directive (doctest)
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      BUG: Fix lda and qda on 64 bits.
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      Merge branch 'master' of ssh://gvaroquaux@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      TEST: Make sure that doctests for bundled dependendies pass.
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      BUG: Make sure that joblib does get installed.
      ENH: Make sure tests get installed.
      ENH: Improve the repr for the BaseEstimator
      TEST: Make sure that doctests for bundled dependendies pass.
      BUG: Make sure that joblib does get installed.
      ENH: Improve the repr for the BaseEstimator
      TEST: Re-enable external tests.
      BUG: Fix doctests to account for change in BaseEstimator repr
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      Merge branch 'cross_val_gael' of git at github.com:GaelVaroquaux/scikit-learn into cross_val_gael
      MISC: Update joblib to 0.4.4
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      ENH: Make sure that the QDA inherits from the ClassifierMixin
      Merge branch 'cross_val_gael' of github.com:GaelVaroquaux/scikit-learn into cross_val_gael
      ENH: Make sure that the QDA inherits from the ClassifierMixin
      ENH: Make sure that the logistic regression does inherit from
      ENH: Add image to graph feature-extraction helper, and some basic graph
      ENH: Make sure that the logistic regression does inherit from
      ENH: Add some code to compute a graph Laplacien on sparse and non sparse
      Merge branch 'master' of github.com:scikit-learn/scikit-learn into cross_val_gael
      BUG: Temporary fix for 'array does not own memory' in SVM
      ENH: First implementation of spectral clustering.
      BUG: Temporary fix for 'array does not own memory' in SVM
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      ENH: Clean up the image clustering code and add an example on lena.
      DOC: Add documentation for spectral clustering.
      ENH: Add an estimator object for the spectral clustering.
      ENH: Add k-means cluster with clever initialization.
      ENH: K-means algorithm with good initialization, more
      MISC: Restore an example that is now working again.
      API: Change 'clustering' to 'cluster'
      Merge branch 'master' of git at github.com:GaelVaroquaux/scikit-learn
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      BUG: Add a forgotten setup.py line
      ENH: Backport a fast graph connect component algorithm from scipy.
      MISC: Cosmit based on comments from Olivier and Alex
      DOC: Add some notes on complexity of clustering algorithms.
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      BUG: Adding missing setup.py file.
      BUG: Remove UTF8 character checked in by mistake.
      BUG: Make graph laplacian and spectral clustering work in 64 bits.
      ENH: For numpy >= 1.5, use np.linalg.slogdet as a fast_logdet
      BUG: Fix bug with numpy >= 1.5 introduced by my previous (stupid) commit.
      ENH: Remove 'import *' in glm/__init__
      BUG: Fix tests broken by last commit
      ENH: Make spectral clustering tests more robust
      Cosmit (PEP 8)
      BUG: Fix glm/setup.py so that the glm sub package installs right.
      TEST: make the test location consistent.
      API: Add cluster as an import of the main __init__
      BUG: Fix warnings module not imported in coordinate_descent. Thanks to
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      MISC: Move AUTHORS to AUTHORS.rst so that it displays better on github
      BUG: Make sure computations do not get executed at import time, so that
      Cosmit
      BUG: Remove failing doctest.
      MISC: More tests and more docs for preprocessing.
      BUG: Cater for NaNs in SelectPercentile.
      Cosmit: 2 lines between function definitions
      ENH: Make sure that the cross_val_score uses StratifiedKFold for
      ENH: GridSearchCV: add an 'iid=True' and open the option to optimize
      MISC: 3-Fold cross-val by default
      ENH: Make sure that grid_search uses a StratifiedKFold by default on
      BUG: Fix doctest
      DOC: better example for SVM-Anova
      ENH: Make sure docs build on older versions of sphinx
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      DOC: Prettify
      DOC: Make first page more compact.
      DOC: Update the developer guidelines.
      MISC: Tweak front page
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      MISC: Cosmit on PCA tests to get understandable errors from the buildbot.
      MISC: Delayed import of pylab, to work on the buildbot
      MISC: Relative imports
      BUG: Fix tests to be moroe robust
      Cosmit
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      MISC: Add a warning in the spectral clustering if pymag is not present
      Revert "MISC: Add a warning in the spectral clustering if pymag is not present"
      Revert "Revert "MISC: Add a warning in the spectral clustering if pymag is not present""
      BUG: Import stats explicitely to work with scipy > 0.7
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      Fix typo on David's name
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      ENH: Add _set_params/_get_params in Pipeline
      Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
      ENH: Implement _reinit on Pipelines.
      ENH: Use new pipeline framework in SVN-ANOVA
      BUG: Import stats explicitely to work with scipy > 0.7
      ENH: Finish the __repr__ for the pipeline
      ENH: Add error management to the KFolds
      ENH: Port the nipy k-means with some cleanups and enhancements.
      ENH: Change the initialisation heuristic for k-means: in general random
      BUG: Adapt spectral to new k_means API
      Merge branch 'master' of github.com:scikit-learn/scikit-learn into kmeans
      ENH: Add error management to the KFolds
      Cosmit
      Cosmit
      Merge branch 'master' of github.com:scikit-learn/scikit-learn into pipeline
      ENH: Change pipelines so that they are simpler and address subobjects
      BUG: Fix bug introduced by previous commit
      BUG: Fix doctests.
      DOC: Better docstring.
      ENH: Make setting nested parameters on Pipeline really work.
      Cosmit
      TEST: Add a smoke test for cross_val_score
      MISC: Fix spelling.
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      DOC: Add more links to the index
      DOC: Add forgotten link targets.
      DOC: prettify the nearest neighbors docs
      DOC: Prettify the SVM docs.
      MISC: Add 'Python' in the examples page
      DOC: fix the PCA iris example.
      MISC: Remove non-necessary lines from PCA example
      DOC: Prettify the clustering documentation.
      DOC: Fix the reference classes documentation
      DOC: Prettify the GLM docs
      MISC: Quiet down the tests.
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      ENH: Add a tester to the scikit.
      ENH: Make doctests pass with numpy tester.
      MISC: Make sure tests always run.
      MISC/DOC: fix reference
      TEST: Fix test_pca sign error.
      TEST: Fix whitespace in doctests.
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      ENH: GridsearchCV, Pipelines and cross validation
      ENH: Make sure that Pipeline and GridSearch objects are indeed recognized
      ENH: Make sure clone works on pipelines
      ENH: Implement a score for the GridSearch.
      ENH: Make sure that a GridSearchCV has a score
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      Merge branch 'cross_val' of github.com:GaelVaroquaux/scikit-learn
      Merge branch 'master' of http://github.com/fabianp/scikit-learn

Mathieu Blondel (4):
      Added filters to WordNGramAnalyzer.
      Added a non-hashing dense vectorizer object.
      Added transform() method to Pipeline object.
      Updated dense vectorizer to follow transformer API.

Matthieu Brucher (1):
      Fixed a typo

Matthieu Perrot (23):
      ENH: optional computing of estimated covariance of LDA classifier.
      MISC: add an unfinished toy example to compare LDA with a (not yet implemented) QDA.
      Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
      BUG: Fixed example after last API changes
      BUG: add missing call to pylab show function
      BUG: Fixed pipeline feature selection example after last API changes
      MISC: lda: Y -> y
      Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
      BUG: Fixed example after last API changes
      BUG: add missing call to pylab show function
      BUG: Fixed pipeline feature selection example after last API changes
      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.
      Merge branch 'master' of http://github.com/GaelVaroquaux/scikit-learn
      Merge branch 'master' of git://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      ENH: optional computing of estimated covariance of LDA classifier.
      MISC: add an unfinished toy example to compare LDA with a (not yet implemented) QDA.
      MISC: lda: Y -> y
      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.
      Merge branch 'master' of git://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      cosmit in LDA/QDA
      MISC: vectorize priors computation for LDA and QDA
      Merge branch 'master' of ssh://revilyo@scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      MISC: remove debug

Olivier Grisel (116):
      test to reproduce issue 67 on LARS coef shape
      Merge branch 'master' into issue-67-LARS-shape
      tracking changes from master
      follow API change in LARS
      Merge branch 'master' into issue-67-LARS-shape
      Merge branch 'master' into issue-67-LARS-shape
      make sparse coding test pass
      more .gitignore
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      started work on document classification: bag of wordsw extraction and hashed tfidf
      some tests for the text features extractor
      checkpointing work in progress on MLComp dataset integration
      remove labels handling from vectorizer code
      more work on document classification dataset loader
      smaller default dim: faster to load by default, need experimental setting to find good tradeoff
      make it easy to find the raw source document
      better parameter ordering
      example usage of MLComp document classification datasets
      use compiled re pattern
      small fixes
      Merge branches 'master' and 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      typos
      add the ability to use stop words for text classification, but does not improve accuracy hence not enabled by default
      typo in comments
      faster and better accuracy with hinge loss of doc classif example but not sparse anymore since l2 reg...
      make the features package a first class citizen
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      ENH: more efficient stopping criterion coordinate descent GLM and comparison with python-glmnet
      blas-ification of elastic net + ensure that the gap is initialized and evaluated
      cosmit
      work in progress on sparse vector extraction for document datasets
      exclude scikits.learn.external package from top level nosetests env
      missing pl.show() in rfe examples
      more missing pl.show() in examples
      using a separate class for the sparse version of the hashing vectorizer
      readd the dense version of the vectorizer
      checkpointing work in progress on the sparse version of the document vectorizer
      more scalable TF-IDF computation unfortunately using a python for loop
      new example to demonstrate sparse TF-IDF + sparse SVM on 20 newsgroups (too slow right now)
      Merge branch 'sparse-documents'
      avoid useless allocations in dense_to_sparse conversion
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      experimenting with character n-grams features (basic morphological analyzer)
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      fix one simple import in doctest for GMM
      simple Makefile for repetitive dev tasks on POSIX OS
      fix broken/unstable sparse SVM tests
      even more stability fix for sparse SVM
      fix broken doctest in HMM
      disabling broken doctest in Gaussian Mixture Models
      fix HMM doctests
      cosmit
      ignore coverage output folder
      trailing spaces
      skip remaining failing tests in HMM test suite
      fix inline comment
      Showcase the new LinearSVC wrapper for with sparse liblinear bindings in the 20 newsgroups document classification example
      tracking changes in master branch
      fix broken test for text features extraction
      fix broken test for text features extraction
      tracking changes from master and restore broken SparseHashingVectorizer
      add ability to compute token ngrams too
      fix broken doctests for SVC / NuSVC
      Merge branch 'master' into char-ngram-features
      cosmit
      cosmit + trailing spaces + improved some comments
      pep8 spacing
      more cosmit
      cosmit
      Merge branch 'master' of github.com:scikit-learn/scikit-learn into issue-77-sparse-cd
      starting boilerplate for sparse coordinate descent
      Merge branch 'master' of github.com:scikit-learn/scikit-learn into issue-77-sparse-cd
      fix broken test
      checkpointing work in progress
      avoid confusing cython extension names
      fixed various issues with sparse datatype handling in previous checkpoint
      better note
      first stab at the sparse CD
      leave sparse evaluation of the dual gap for later
      forgot files from previous checkin
      Merge branch 'master' of github.com:scikit-learn/scikit-learn into issue-77-sparse-cd
      check that sparse API for coordinate descent also work with dense list-based input
      one more test for sparse CD
      sparse dual gap too!
      Merge branch 'master' of github.com:scikit-learn/scikit-learn into issue-77-sparse-cd
      cosmit
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      fix broken doctest in cross_val
      Merge branch 'master' into issue-77-sparse-cd
      more robust tests
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      Merge branch 'master' into issue-77-sparse-cd
      missing import
      added sparse Lasso utility class
      OPTIM: fix a typo and some suboptimal cython constructs in dense coordinate descent
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      share the same cython impl for both lasso and elastic net CD
      make d_w_max early stopping criterion scale invariant
      cosmit: s/nsamples/n_samples/g and s/nfeatures/n_features/g
      group stopping criterion related boilerplate in the same place for readability
      FIX: make CD lasso robust to zero valued columns (useless features)
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      add duration to glmnet benchmark output
      removed useless includes
      make d_w_max threshold independant of the squared norm of y to make it useful in practice
      Merge branch 'master' into issue-77-sparse-cd
      port latest bugfix and optims from dense CD to sparse CD
      fix NORMALIZE_WHITESPACE issues in doctests
      more robust and understable CD elastic net test using explained variance score instead of RMSE
      forgot to setup the good value of rho in last checkin
      Merge branch 'master' into issue-77-sparse-cd
      Merge branch 'textextract' of git://github.com/mblondel/scikit-learn
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      better docstring + cosmit for the RFE module
      pep8
      move the RFE module to the feature selection package

Ron Weiss (38):
      added hmm code from http://github.com/ronw/gm
      removed logging, dependency on abc, and unnecessary imports
      added hmm unit tests
      cleanup hmm module: made properties compatible with Python 2.5, etc.
      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()
      changed "train" -> "fit".  Removed HMMGMM for now.
      removed references to gmm.init() in gmm docstrings
      fixed random seed in hmm unittests
      removed init() method from hmm classes
      minor tweaks to make hmm.GaussianHMM look like gmm.GMM
      fixed bug in HMM viterbi logprob
      added MultinomialHMM, unit tests
      fixed *HMM.fit() to include *all* parameters by default
      removed ndim argument from gmm.rvs()
      added validate_covars back to gmm.py
      added ndim property back to gmm to keep it consistent with HMM
      Merge branch 'hmm'
      added support for HMMs with GMM emissions
      Merge remote branch 'upstream/master'
      fixed GMM examples
      fixed GMM examples
      fixed broken doctests in gmm.py
      updated gmm.py to comply with scikit-learn API.  fixed pep8, pyflakes errors
      DOC: fixed typos in developer documentation
      Merge branch 'master' of ssh://scikit-learn.git.sourceforge.net/gitroot/scikit-learn/scikit-learn
      BUG: fixed failing test in GMM
      remove GMM.lpdf method
      merge
      update hmm module to comply with scikit-learn API
      remove hmm.HMM factory to simplify hmm module's interface
      merge hmm_trainers into hmm module
      finish merge of hmm_trainers with hmm and remove hmm_trainers
      remove extraneous tests from test_hmm.py
      speed up hmm unit tests, add test for GaussianHMM with priors
      fix GMMHMM bugs.  speed up tests
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      FIX: failing gmm tests
      Merge branch 'master' of github.com:scikit-learn/scikit-learn

Vincent Michel (40):
      New feature selection
      Last version of univariate selection
      Merge branch 'master' of git at github.com:vmichel/scikit-learn
      Corrections of indentation in univariate_selection
      remove old univariate_selection
      Correct nosetets for univariate_selection
      Add doc to univariate_selection
      Merge branch 'master' of git at github.com:vmichel/scikit-learn
      Merge branch 'master' of git at github.com:agramfort/scikit-learn
      Merge branch 'master' of git at github.com:agramfort/scikit-learn
      Add rfe example
      update example
      Merge branch 'master' of git at github.com:agramfort/scikit-learn
      Merge branch 'master' of git at github.com:agramfort/scikit-learn
      Corrections in rfe
      Remove feature selection
      Add ranking_
      Add Crossvalidated version of RFE
      Add example of RFE CV
      ENH : New version of Bayes Ridge
      Merge branch 'master' of git at github.com:vmichel/scikit-learn
      Newer (and faster !) version of Bayesian regression.
      Merge branch 'master' of https://vmichel@github.com/scikit-learn/scikit-learn
      ENH : New version of Bayes Ridge
      Newer (and faster !) version of Bayesian regression.
      Update tests for bayes
      Merge branch 'master' of git at github.com:scikit-learn/scikit-learn
      Add first draft of variational bayes
      Add variational inference
      DOC: Update doc for bayesian regression + examples
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      FIX : Remove reference to Variational Bayes
      More doc in bayes.py, fix bug in high dimension, add score
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      ENH : change the convergence trigger
      More coverage for bayes
      DOC : create and start doc for cross-validation.
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      DOC : add changes in classes.rst
      Merge branch 'master' of github.com:scikit-learn/scikit-learn

Virgile Fritsch (9):
      DOC: Fix typos in svm module documentation.
      Remove Y from fit in OneClassSVM.
      Add a reinitialization function for estimators + write test for
      Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
      Change test name for the _reinit() method.
      Merge branch 'master' of github.com:scikit-learn/scikit-learn
      Merge branch 'master' of github.com:GaelVaroquaux/scikit-learn
      DOC: Explain the _set_params method in BaseEstimator class.
      Rename PyBallTree* --> BallTree* in BallTree.cpp.

Yaroslav Halchenko (13):
      pruning joblib external
      Merge commit '8b26c79e7ba67dd614e84c3333ce845ee2edb049' into dfsg
      Merge 0.5.rc into DFSG (pruning externals: joblib)
      Merge 0.5.rc3 into DFSG (pruning externals: joblib)
      removing carried version of libsvm in favor to use systemwide (otherwise svm.h inclusion conflict)
      DOC: removing a stale request for subversion write permissions
      Allow to build _libsvm.so against system-wide LIBSVM's svm.h
      API to control LIBSVM verbosity without patching
      recythoning _libsvm.pyx for previous commit
      revert change to libsvm -- now verbosity is controlled via API
      enable more doc testing for test-doc Makefile rule
      adding acknowledgement to Dr.Haxby for my support ;-)
      Merge 0.5 into DFSG (pruning externals: joblib)

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