[scikit-learn] annotated tag debian/0.7.1.dfsg-1 created (now c1b0b22)
Andreas Tille
tille at debian.org
Wed Dec 28 13:11:16 UTC 2016
This is an automated email from the git hooks/post-receive script.
tille pushed a change to annotated tag debian/0.7.1.dfsg-1
in repository scikit-learn.
at c1b0b22 (tag)
tagging bdf3332f9694f8ecbdcf7ab0391989e24ac13f88 (commit)
replaces debian/0.6.0.dfsg-1
tagged by Yaroslav Halchenko
on Sun Mar 20 21:38:43 2011 -0400
- Log -----------------------------------------------------------------
Debian release 0.7.1.dfsg-1
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Alexandre Gramfort (20):
ENH : nicer implementation of StratifiedKFold now usable with regression
DOC: updating doc for StratifiedKFold + ellipsis in svm support
ENH : adding function to test the significance of a cross val score with permutations in supervised problems
ENH : add possibility to pass RandomState
s/permutation_score/permutation_test_score
fix pb with nose and permutation_test_score function
Merge branch 'permutations'
FIX : really accurate pvalue in cross-val permutation test
FIX : even more accurate pvalue in cross-val permutation test
s/euclidian_distances/euclidean_distances
typo
ENH : cross-val generator can now return integer indices
DOC: better docstring in cross val with indices
DOC: update RST doc for crossval with indices
removing print used for debug
ENH : speeding up kneighbors_graph function avoiding the use of a LIL matrix
FIX : fix pb in affinity propagation when S dtype is not float
FIX : fixing Lars lasso with early stopping using alph_min + adding test for it
Merge branch 'master' of github.com:scikit-learn/scikit-learn
fix LassoLARS docstring
Dan Yamins (14):
added arithmetical ordering patch for labels in linear.cpp and test for liblinear predict
comment
simplification in liblinear testing
pep8 compliance in liblinear testing code
simplified liblinear prediction function
two trailing whitespaces removed from an multiline comment :)
minor syntacting improvement in liblinear test function ...
one more minor improvement to liblinear test code
I think i've got it this time ...
pep8 compliant at last!
various changes to handle fortran ordering in matrices
some pep8 fixes .... but probably more to come
removed testing thing
pep8 stuff as well removed testing stuff
Edouard DUCHESNAY (4):
Partial Least Square 2 blocks mode A (PLS) implementation
PLS examples
Merge branch 'master' of github.com:scikit-learn/scikit-learn
PLS mode A : two estimation algo: NIPALS & SVD
Emmanuelle Gouillart (1):
Corrected a few typos in the documentation.
Fabian Pedregosa (100):
FIX: scipy 0.9 compatibility fixes
FIX: second argument in euclidean_distances.
Cosmetic changes.
Better version detection for scipy
FIX: stupid mistake.
FIX Stupid mistake
More robust utils.fixes.
FIX: docstring.
FIX: np.unique.
Start 0.7 development cycle.
Add AUTHORS to web page.
Note on LinearSVC.
Web page layout.
FIX: update to latest API.
Web page update.
FIX tests when run with scikits.learn.test()
Update doc.
Update Mailmap.
Update authors list.
Update README.
Add all doc to generated latex.
Add species distribution modelling to OneClass examples.
Add other ways to contribute to the doc.
Little doc improvements to the grid_search.
DOC: remove duplicate information.
Remove unused imports
Add installation instructions for NetBSD.
Revert "Partial Least Square 2 blocks mode A (PLS) implementation"
Revert "PLS examples"
Revert "PLS mode A : two estimation algo: NIPALS & SVD"
Some docstrings added to ridge.
Rename lb -> label_binarizer.
Add note on multi-class classification.
Add some more doc to LabelBinarizer.
Some love for lars_path.
Turn off axis in plot_iris.
ENH: implement decision_function for libsvm-based classes.
DOC: svm.rst refactoring.
FIX: always raise ValueError on deficient input in BaseLibSVM.
FIX: fixes & tests for liblinear decision_function.
ENH decision_function liblinear, sparse variant.
FIX: fixes for liblinear decision_function.
Nicer support vectors in example plot_separating_hyperplane.py
PEP8 fixes.
Doctest fixes.
Remove obsolete info.
Squash function in test_svm.py
remove unused.
Add RandomizedPCA to RST docs.
PCA docstrings reestructuring.
Do not resize the array on k=1.
ENH: Neighbors refactoring.
Add parameter eps to NeighborsBarycenter.predict.
FIX: fix dimensions in plot_neighbors_regression.
Simpler doctest for neighhbors.
FIX: rename adjacency --> connectivity in kneighbors_graph.
Change the algorithm used in neighbors.barycenter.
small fix in barycenter
remove unused imports.
Rename barycenter --> barycenter_weights (as it was before).
Neighbors refactoring.
FIX: fix collinearity issues in least_angle.py
Regenerate Cython file _liblinear.pyx
FIX: do not resize array in knn_brute.
Faster Neighbors* in high dimensional spaces.
Use squared distances.
FIX: typos and missing info in docstring.
metrics.pairwise has right to live.
Rename inplace --> brute_inplace
ENH: better consistency tests for neighbors module.
FIX: typo.
FIX: don't import assert_allclose
So this is why people kept posting issues to SF's trac ...
Deleted code is debugged code.
Cosmetic changes in decision_function.
Rename strategy --> algorithm in Neighbors*.
Improve performance of GMM sampling
Second patch by f0k.
Cosmetic fixes in GMM.
More cosmetic changes in GMM.
Rename ndim --> n_dim
Rename nobs --> n_obs
Some more docstring fixes for mixture.
Examples cleanup: remove pl.close, it is now handled by gen_rst.
Changelog for 0.7
More doc on 0.7 release.
More on changelog.
Minor fixes in changelog.
Add metrics to the doc.
More fixes for the changelog.
Some more changelog stuff.
FIX: mxf --> Xinfan Meng
Change release name to 0.7.
Documentation update.
Replace latex with simple syntax in docstrings.
Remain compatible with numpy 1.2
Do not import scipy.sparse globally.
Update numpy/scipy requirements.
Release 0.7.1
Read README.rst for description in PYPI
Gael Varoquaux (12):
DOC: Add scipy in the install dependencies.
DOC: Typo in docstring
DOC: document better similarity matrix of spectral clustering
DOC: typos in docstring
DOC: Add the logistic regression to linear models doc
DOC: Be explicite about what criteria are used in GridSearchCV
ENH: Add inverse transform to univariate_selection
MISC: Make sure that nosetests doesn't try to run the bench
API: fit params -> class params in GrideSearchCV
MISC: Docstring formating
ENH: Tweaks for k_means performance.
Merge branch 'master' of github.com:scikit-learn/scikit-learn
James Bergstra (19):
k_means_ - added optional rng parameter to work routines
Centering data for k-means before fitting
k-means - added verbose-level print after initialization
added faster distance-computation algorithm to k-means _e_step
PCA train() stores eigenvalues associated with components
adding James Bergstra as author of k_means_ file
k-means adding all_paris_l2_distance_squared function
k-means - modified k_init to use pre-computed distances for faster, clearer code
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
k-means - fixed misleading typo in error message
k-means - added optional parameters "precompute_distances" and "x_squared_norms"
k-means - added "verbose" parameter to KMeans class
k-means - added copy_x parameter to worker routine and BaseEstimator, allowing optional in-place operation
added optional args to euclidean_distances and removed k_means_.all_pairs_l2_distances_squared
fixed typo in my previous patch to PCA
added PCA.inverse_transform and unit test
added components_coefs_ (eigenvalues) member to RandomizedPCA to match PCA
test_pca - modified to use assert_almost_equal
euclidian_distances - repair special case for when X is Y
Kamel Ibn Hassen Derouiche (1):
FIX: compilation issues under NetBSD
Mathieu Blondel (67):
Add LabelBinarizer.
Add sparse Ridge.
Support 2-d Y.
Add RidgeClassifier.
Add RidgeClassifier to 20newsgroup classification example.
Add efficient LOO cross-val for Ridge.
Add sample_weight to fit.
Add reference.
Add support for custom loss or score function.
Add label binarizer documentation.
Test 2-d y case.
Support fit_intercept in RidgeLOO.
Forgot to use sample_weight...
Default fit_intercept to True.
Add sparse RidgeLOO.
Add RidgeClassifierLOO.
Add class_weight.
Add some more documentation.
Add sample_weight.
Add dense_output option to safe_sparse_dot.
Use safe_sparse_dot.
Fix problem when output is a vector.
Add safe_asanyarray.
Handle sparse matrix in LinearModel.
Import necessary modules.
Fix tests for sparse case.
Add RidgeCV.
Merge dense and sparse code.
Rename to RidgeClassifierCV.
Fix 20newsgroup example.
Make RidgeLOO private.
Fix test.
Predict is already implemented in LinearModel.
Fix issue in RidgeCV.
PEP8!
Fix typo.
Add documentation on matrices used for clustering.
Rename _RidgeLOO to _RidgeGCV.
Note on efficiency.
Improve the documentation for LabelBinarizer.
Add TransformerMixin.
Use TransformerMixin in LabelBinarizer.
Merge branch 'ridge'
Fix typos.
Fix TransformerMixin.fit_transform.
Remove references to y in preprocessing objects.
Add sample_weight to Ridge.
Improve documentation for Ridge objects.
Move cv parameter to constructor in RidgeCV.
Temporarily disable sample_weight when cv is passed to RidgeCV.
Preserve backward compatibility in GridSearch.
Merge branch 'master' of github.com:scikit-learn/scikit-learn
Fix error in documentation.
Remove coef_ and get_support from Pipeline.
Add SparseTransformerMixin.
Use sparse.base.SparseTransformerMixin.
Add documentation on model persistence.
Minor fixes in RidgeCV.
Add reference for GCV.
Add Olivier Grisel to metrics.py's credits.
Comment broken test.
Rename SparseTransformerMixin to CoefSelectTransformerMixin.
Can now specify desired percentage of explained variance ratio in PCA.
Add a few sanity checks for SVC.
Merge branch 'master' of github.com:scikit-learn/scikit-learn
Add tests for sanity checks in SVC.
Flip the sign when the user accesses coef_ or intercept_ in the 2-class case.
Olivier Grisel (13):
cosmit
ENH: make it possible to customize the WordNGramAnalyzer token regexp
Merge branch 'master' of git://github.com/jaberg/scikit-learn
PEP8
more PEP8
more PEP8
style conventions for variable names
FIX: allow the trivial border case k==n in KFold CV
Merge branch 'master' of github.com:scikit-learn/scikit-learn
Merge branch 'cv_indices' of https://github.com/agramfort/scikit-learn
ENH: KMeans tolerance parameter renamed tol (as in coordinate descent) and made public
FIX and more tests for PCA and inverse_transform also for RandomizedPCA
Add documentation for the RandomizedPCA class
Paolo Losi (1):
liblinear bias/intercept handling
Ron Weiss (4):
scikits.learn.gmm -> scikits.learn.mixture
Merge branch 'master' of github.com:scikit-learn/scikit-learn
BUG: fix GaussianHMM.fit to allow input sequences of different lengths
FIX remove broken test in test_mixture
Satrajit Ghosh (2):
BF: k-fold should accept k==n
BF: k-fold should accept k==n
Vincent Dubourg (2):
Debug in GaussianProcess.predict for batchwise computation
Debug GaussianProcess.predict for variance estimation in 'light' storage mode.
Virgile Fritsch (1):
DOC: typos + change name of LDA vs QDA examples
Xinfan Meng (1):
fix a bug of affinity propagtion, which is caused by incorrect index
Yaroslav Halchenko (7):
FIX: removed obsolete entries and added current ones for top-level __all__ + unittest
Theirs Merge commit '0.7' into releases
Merge commit '0.7.1' into releases
Merge branch 'releases' into dfsg
Merge branch 'dfsg' into debian
changelog for 0.7.1.dfsg-1
oops -- forgot that we are still doomed to experimental due to sphinx
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