[scikit-learn] annotated tag debian/0.8.0.dfsg-1 created (now 16a1630)
Andreas Tille
tille at debian.org
Wed Dec 28 13:11:17 UTC 2016
This is an automated email from the git hooks/post-receive script.
tille pushed a change to annotated tag debian/0.8.0.dfsg-1
in repository scikit-learn.
at 16a1630 (tag)
tagging 8b2aaf069306d6b61b49a29d32123e69991c153b (commit)
replaces debian/0.7.1.dfsg-3
tagged by Yaroslav Halchenko
on Wed May 11 21:52:39 2011 -0400
- Log -----------------------------------------------------------------
Debian release 0.8.0.dfsg-1
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Alexandre Gramfort (36):
reviewing hierarchical clustering code
adding missing setup.py in cluster
FIX : in hierarchial cluster + Mixin fix + tests + coverage + PEP8
ENH : adding inverse_transform to pipeline + better handling of coef_
ENH : adding coef_ attribute in GridSearchCV
ENH : adding inverse_transform to univariate selectors + pep8
removing old svn id tag
ENH : refactoring Ward feature agglomeration to make it work with Pipeline
first attempt to use caching in gridsearch with hierarchical clustering... WIP
ENH : improving ward for better joblib caching
removing plot_dendogram function
TEST : fix ward clustering tests
in hierarchical : s/adjacency_matrix/connectivity, s/k/n_clusters
remaining s/k/n_clusters
ENH (ward): return children as numpy array (better for joblib)
Merge branch 'master' into asaf
ENH: avoid storing parent and weights in Ward (better joblib)
DOC : better docstring in hierarchical clustering
adding example to rst doc
better ward rst doc examples
moving swiss_roll generator in samples generator
removing Return from class docstring
s/cord_/coord_
in setup.py s/ward/cluster
Merge branch 'hcluster' into hcluster2 that matches master
fix remaining n_comp
Merge branch 'hcluster2' of http://github.com/bthirion/scikit-learn into hcluster2
adding test scikit vs scipy.
FIX: ugly bug in connectivity on grids and images
ENH : factorizing img_to_graph and grid_to_graph
ENH : ones on diag in grid_to_graph + fix dtype
cosmit
Merge branch 'hcluster2'
cosmits with trailing spaces
Merge branch 'master' of github.com:scikit-learn/scikit-learn
pretifying nmf plot
Amit Aides (1):
Fix to sparse SVC with kernel='poly'
Andreas Mueller (1):
Remove copy and paste errors from nearest neighbors example
Bertrand Thirion (5):
new criterion for wards clustering
one single cython module for inertia and ward distance
always use scikits ward algo when no structure is provided
tiny updates on lda (checks, numerical stability)
removed the unused inerta stuff
Edouard DUCHESNAY (31):
PLS: WIP
PLS : cosmetic changes
PLS
PLS cosmetic
PLS: optimize, compare against R implementation, clrify terms
PLS: simplify API + som additionnal test
PLS: add transform function
PLS: test_pls fix a bug
Merge branch 'master' of github.com:scikit-learn/scikit-learn
PLS: transform method
PLS : add predict function
PLS : predict
Merge branch 'master' of github.com:scikit-learn/scikit-learn
PLS : make sure this also works with 1 dimensional response (PLS1)
Merge branch 'master' of github.com:scikit-learn/scikit-learn
remove quotes "" on columns names
PLS cosmetic: PEP8, etc.
PLS, new specific classes: PLSCanonical, PLSRegression, CCA + some cosmetics
PLS: computation optimization
PLS API
PLS: API (2)
PLS : coeficients computation
PLS : check for numerical instabilities + force float
Merge branch 'master' of github.com:scikit-learn/scikit-learn
Merge branch 'pls' of https://github.com/fabianp/scikit-learn
Merge branch 'master' of github.com:scikit-learn/scikit-learn
resolve conflict
Merge branch 'pls' of https://github.com/fabianp/scikit-learn
resolve conflict
samples generators: remove multivariate_normal_from_latent_variables
Merge branch 'master' of github.com:scikit-learn/scikit-learn
Fabian Pedregosa (103):
Remove arbitrary code in tests.
Simpler check for orthogonality.
Add pls to __init__
DOC: set up barebones documentation for PLS.
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
Documentation update.
Replace latex with simple syntax in docstrings.
Start of 0.8 development cycle.
Building on Windows.
Build precompiled windows binaries.
ENH: make transform() work when no Y is given.
Remain compatible with numpy 1.2
Do not import scipy.sparse globally.
Implement probability estimates for SVR and OneClass.
Raise NotImplementedError on predict_proba when model do not implement
Update numpy/scipy requirements.
Read README.rst for description in PYPI
DOC: clearer doc for BallTree.
DOC: docstring enhacements for Gaussian Naive Bayes.
DOC: some documentation for naive_bayes module.
Refactoring in svm module.
ENH: better doc and tests for unbalanced svm's
Python 3 compatibility.
Nicer low-level API for libsvm.
Ignore OSX .DS_Store files.
Revert "Python 3 compatibility."
FIX: rename eps to tol also in svm.sparse.
ENH: cython bindings for libsvm's cross_validation routine.
Revert "Python 3 compatibility."
FIX: rename eps to tol also in svm.sparse.
ENH: cython bindings for libsvm's cross_validation routine.
FIX: cross val return array size.
Initial implementation of cross validated SVC
Python 3 compat, this time with npy_3kcompat.h
Revert "Initial implementation of cross validated SVC"
Merge branch 'cython-balltree-wrapper' of https://github.com/thouis/scikit-learn
Cosmetic changes in base.py
FIX: py3k compat.
I won't import scipy.sparse globally.
Some cleaning in libsvm sparse bindings.
name consistency in sparse svm
ENH: low-level API of libsvm.
Cleanup in libsvm helper.
FIX: important fix for sparse SVC (weights were not initialized correctly).
Don't hardcode n_jobs.
Add regularization in the computation of barycenter weights.
Add regularization in the computation of barycenter weights.
libsvm low-level API refactoring.
PEP inquisition.
Some fixes for web layout.
Remove obsolete information.
More low-level refactoring.
Return first score in case of ties.
rename grid_points_scores_ to grid_scores_ in GridSearchCV
Some tests for the things I changed in GridSearchCV.
Merged pull request #135 from paolo-losi/l1_logreg_minC.
DOC: fix links to l1_min_c
FIX: reference to l1_min_c
Merge branch 'covariance' of git://github.com/VirgileFritsch/scikit-learn
Cosmetic changes in covariance.
DOC: add low-level methods from libsvm.
FIX: fix rename of grid_scores_
Do not open file write file until download is complete.
Add tests for libsvm.cross_validation.
Add optional parameter n_class to load_digits.
Merge pull request #144 from larsmans/balltree-cleanup.
FIX: missing import in plot_covariance_estimation.py
Py3K: use explicit floor division
Return also t from swiss_roll generator (needed to plot colors)
CSS style tweaks.
more CSS tweaks.
Some more CSS tweaks
Re-generate .cpp from ball_tree.pyx
FIX: python2.5 SyntaxError
FIX: tuples have no .index in python2.5
FIX: more python2.5 SyntaxError
FIX: explicit linking against std++ breaks under mingw32.
FIX: fix import paths in doctests.
Merge pull request #157 from fabianp/joblib_fix
FIX: compatibility python2.5
DOC: add docstrings to BallTree.
Update neighbors with latest changes to BallTree.
Update .mailmap
Layout fixes.
Add analytics code to web page, SF discontinued web page stats.
Changelog
Some doctest fixes.
More docstring fixes.
FIX: change doctest to avoid results with NaN
I have no idea why, but this fixes the broken doctest.
Release 0.8
Merge branch '0.8.X' of github.com:scikit-learn/scikit-learn into 0.8.X
Version number.
FIX: pls docstring.
Remove failing docstring for release ...
Feth Arezki (1):
lfw: import imread from new location in scipy
Gael Varoquaux (98):
ENH: Reorganise the feature agglomeration
ENH: Accept strings as memory
ENH: Add a benchmark for ward
Cosmit
ENH: n_leaves = n_samples in ward tree
MISC: np.zeros -> np.empty
ENH: Avoid big temporaries in hierarchical
MISC: Cleanup
ENH: Hierarchial: don't compute moments twice
ENH: hierarchical: gain memory with izip
ENH: hierarchical: simpler, faster without connectivity
MISC: labels in cluster -> int
MISC: Fix ward bench vs scipy
MISC: Avoid depending on numpy > 1.4
BUG: Add missing import
MISC: Less code duplication in lfw
Cosmit
API: SVMs: eps -> tol
MISC: Fix example to adjust to eps -> tol
ENH: Fixed seed for shuffling in SGD
BUG: fix grid_to_graph
MISC: cosmit + use private prng
MISC: fix typo
Merge remote branch 'vincentschut/master'
BUG: Fix bug introduced by PLS
DOC: Minor fixes to documentation
BUG: fix kneighbors method in high dim
DOC: improve PLS docs and example
MISC: Update joblib
ENH: Add verbosity to the gird_search
ENH: More parallelism in GridSearchCV
ENH: GridSearCV: better verbose
TEST: Fix trivail doctest failure
BUG: iter on complete grid (GridSearchCV)
MISC: html-nodoc default target
Merge remote branch 'origin'
Merge branch 'master' of https://github.com/yml/scikit-learn
TEST: Ellipsis on numericaly instable docs
Cosmit
BUG: doctest the joblib in externals not global
BUG: restore ellipsis in doctests
DOC: add the show-source back on html
BUG: fix multiple figure plotting
BUG: restore ellipsis in doctests
Merge branch 'master' of github.com:scikit-learn/scikit-learn
DOC: update rst docs to use multiple figures
DOC: front page link: Ward lena
DOC: better docs for Ward
ENH: Avoid gathering old images in docs
MISC: reduce disk consumption when generating docs
COSMIT: make the layout a bit cleaner in NMF docs
BUG: giving up on cleaning build
DOC: Better center of images
MISC: Two figures in plot_pca_vs_lda
DOC: move working notes to wiki
DOC: tweak sidebar
DOC: More sidebar tweaks
DOC: fix link to bug tracker
DOC: tweaks to developers notes
DOC: move KMeans to top of clustering
DOC: Less warnings during build
DOC: Fix more warnings
BUG: fix links to examples
MISC: cleaner generated code in doc/examples
MISC: separate decomposition examples to new dir
DOC: rmk on Sphinx version
DOC: add tiny docstrings where missing
DOC: Fix warnings
DOC: module entries in reference documentation
DOC: fix indentation
DOC: link fixes in kernel PCA
DOC: move working notes to wiki
DOC: tweak sidebar
DOC: More sidebar tweaks
DOC: fix link to bug tracker
DOC: tweaks to developers notes
DOC: move KMeans to top of clustering
DOC: Less warnings during build
DOC: Fix more warnings
BUG: fix links to examples
MISC: cleaner generated code in doc/examples
MISC: separate decomposition examples to new dir
DOC: rmk on Sphinx version
DOC: add tiny docstrings where missing
DOC: Fix warnings
DOC: module entries in reference documentation
DOC: fix indentation
DOC: link fixes in kernel PCA
DOC: Make sure that mpl is not interactive
ENH: Update joblib
Merged pull request #140 from fabianp/lfw.
Merge pull request #148 from yarikoptic/master.
DOC: Fix layout
DOC: Fix layout
DOC: Fix layout
DOC: Fix layout
DOC: improve datasets information
MISC: links to upstream datasets
Jan Schl�ter (3):
Replaced wrong k-means++ implementation with a correct one.
Extended docstring, renamed variables from javaStyle to python_style, replaced tab-indents with space-indents, pep8
Use scikits distance functions instead of scipy's. Avoid recomputations of x_squared_norms whereever possible. Completion and unification of docstrings.
Julien Miotte (2):
Fetching every figure generated by the example scripts.
Since we changed the name of the figure names, changing the rst files.
Lars Buitinck (7):
Make ball tree code safer and 64-bit clean
Cleanup lib{linear,svm} C helper routines
Spellcheck and formatting in developers' docs
typo
Updated installation instructions
Merge pull request #160 from larsmans/master
Be more explicit about coverage testing
Mathieu Blondel (30):
Implement transform in LDA.
Add LDA to plot_pca.py and rename to plot_pca_vs_lda.py.
Proper implementation of predict_log_proba in LDA.
Add polynomial interpolation example.
Use np.vander.
Support multilabel case in LabelBinarizer.
Add linear_kernel, polynomial_kernel and rbf_kernel.
Small optimizations for polynomial_kernel and rbf_kernel.
Add KernelCenterer.
Add KernelPCA.
Add kernel PCA example.
Merge branch 'master' into kpca
Add KernelPCA documentation.
Add test for precomputed kernel.
Optim in polynomial_kernel.
Efficient fit_transform in PCA.
Merge branch 'mblondel-kpca' of https://github.com/vene/scikit-learn into kpca
Cosmit.
Use TransformerMixin in KernelPCA.
Merge branch 'master' into lda
Merge branch 'lda' of https://github.com/bthirion/scikit-learn into lda
Fix doctest.
pep8 love (integrism?).
Add test for invalid kernel.
Rename plot_kpca.py to plot_kernel_pca.py.
Add comment regarding PCA's fit_transform method.
Add note on sign ambiguity in PCA.
Merge branch 'kpca'
Add kernel PCA and linear PCA equivalence test in its own function.
Merge pull request #163 from paolo-losi/revert_preprocessing
Matthieu Perrot (2):
Merge branch 'lda' of https://github.com/mblondel/scikit-learn into discriminant_analysis
re-add self.means_
Meng Xinfan (1):
Update the docstring to reflect the package name changes.
Nicolas Pinto (22):
MISC: cosmetic -- setup.py is now pep8 safe
MISC: cosmetic -- cross_val.py is now pep8 safe
MISC: cosmetic -- fastica.py is now pep8 safe
MISC: cosmetic -- pca.py is now pep8 safe
MISC: cosmetic -- scikits/learn/setup.py is now pep8 safe
MISC: cosmetic -- pls.py is now (almost) pep8 safe
MISC: cosmetic -- hmm.py is now pep8 safe (getting tiring, next time I'll show up earlier at the sprint ;-)
MISC: cosmetic -- base.py is now pep8 safe
MISC: cosmetic -- grid_search.py is now pep8 safe
MISC: cosmetic -- grid_search.py is now pep8 safe
MISC: cosmetic -- more pep8
MISC: cosmetic -- setup.py is now pep8 safe
MISC: cosmetic -- cross_val.py is now pep8 safe
MISC: cosmetic -- fastica.py is now pep8 safe
MISC: cosmetic -- pca.py is now pep8 safe
MISC: cosmetic -- scikits/learn/setup.py is now pep8 safe
MISC: cosmetic -- pls.py is now (almost) pep8 safe
MISC: cosmetic -- hmm.py is now pep8 safe (getting tiring, next time I'll show up earlier at the sprint ;-)
MISC: cosmetic -- base.py is now pep8 safe
MISC: cosmetic -- grid_search.py is now pep8 safe
MISC: cosmetic -- grid_search.py is now pep8 safe
MISC: cosmetic -- more pep8
Olivier Grisel (159):
add new method for fecthing datadir + reorg os related imports
checkpoint WIP for the LFW dataset loader
Merge branch 'master' into lfw-dataset
fix broken dataset description
checkpointing work in progress
Merge branch 'master' into lfw-dataset
work in progress on LFW: fetching the data
more work on dataset loader for LFW pairs
get rid of the normalization that should not be part of the load time
Merge branch 'master' into lfw-dataset
make it possible to load the LFW people dataset using the scikits.learn.datasets infra
remove stupid color slicing 'feature' and shuffle the examples
pep8
better default slice values
better looking example
Merge branch 'master' into lfw-dataset
face verification example will be implemented later
Merge branch 'master' into lfw-dataset
cosmit typo
first test for the LFW loader skipped if missing data folder
more LFW tests
pep8
documentation for the LFW dataset loaders
Merge branch 'master' into lfw-dataset
generate fake LFW dataset to fully test the LFW loader even without access to the real data
add HTML coverage report
more robustness test checks for LFW loader
first stab at factoring the 20 newsgroups dataset loading
cosmit
cosmit
fix kw params propagation to load_files
update the grid search example
remove function autodoc section that breaks sphinx
better name: rename load_files to load_filenames
better name: rename class_names to target_names for consistency
merge lfw-dataset to 20newsgroups-dataset
cosmit
Merge branch 'lfw-dataset' into 20newsgroups-dataset
Merge branch 'lfw-dataset' of https://github.com/GaelVaroquaux/scikit-learn into lfw-dataset
cosmit / ordering
use explicit parameter passing
merge changes from LFW branch
Merge branch 'lfw-dataset'
Merge branch 'master' into 20newsgroups-dataset
some more work on the datasets documentation
improvements to the datasets documentation
fix: avoid creating a spurious '~' in the current working directory
pep8
typo
missing justification for the shuffling of samples
Merge branch 'master' into 20newsgroups-dataset
restore python 2.5 compat
Merge branch 'master' of github.com:scikit-learn/scikit-learn
Merge branch 'master' into 20newsgroups-dataset
FIX: make PCA models usable in pipelines
Merge branch 'master' into 20newsgroups-dataset
add backward compat for old load_files public API
Merge branch 'master' of github.com:scikit-learn/scikit-learn
trailing spaces
pep8
style
add check to the nature of y to have more explicit error messages
explicit ValueError when not enough data for kmeans and some pep8
style
make RandomizedPCA work on list data
FIX: the datasets doctest fixture could never skip the tests when required
use WARNING level logs before using network access
make the test display the output on stdout
ENH: add function to clear the data_home cache + tests
full PEP8 compliance for the scikits.learn.datasets package
renamed load_* to fetch_* when network connection is potentially involved
add load_lfw_pairs and load_lfw_functions for backward compat and consistency
load_20newsgroups as an alias for fetch_20newsgroups in offline mode
trailing spaces
break test data symmetry to avoid heisenfailure in RandomizedPCA test
Merge branch 'master' of github.com:scikit-learn/scikit-learn
FIX: heisen test failure + some pep8 in test_pca.py
FIX: make the PIL dependency optional (skip LFW tests if not present) + explicit error message
FIX: make the PIL dependency optional (skip LFW tests if not present) + explicit error message
FIX: workaround broken PIL installs
Merge branch 'nmf-lite' of https://github.com/vene/scikit-learn into vene-nmf-lite
Merge branch 'nmf-lite' of https://github.com/vene/scikit-learn into vene-nmf-lite
ENH: plot eigencefaces in face recognition example
ENH: do not download LFW when building the documentation by default
Merge branch 'master' into vene-nmf-lite
Merge branch 'nmf-lite' of https://github.com/vene/scikit-learn into vene-nmf-lite
Merge branch 'text' of https://github.com/vmichel/scikit-learn into vmichel-text
FIX: update the examples to match the new text feature extraction API
FIX: feature_extraction.text is now a module instead of package
FIX: forgot to update the documentation after the feature_extraction.text refactoring
FIX: decrease disk usage in LFW data folder
ENH: factorize some plot code in face recognition example
FIX: broken link to plot_kernel_pca kernel in the documentation
typo
MISC: style fixes in NMF
ENH: improved contributors guide
Merge branch 'master' of github.com:scikit-learn/scikit-learn
ENH: add coverage install command
cosmit
DOC: first stap at the performance chapter (full of TODOs)
Merge branch 'master' of github.com:scikit-learn/scikit-learn
DOC: missing class reference
DOC: cosmit
MISC: another style fix for a private function in nmf
DOC: add sample python profiling session
DOC: note for later
DOC: add some missing reference in the performance guide
ENH: avoid the use of lambdas in NMF to get a more informative profiling output
Merge branch 'master' of github.com:scikit-learn/scikit-learn
DOC: fix small inaccurracy
DOC: more warning fixes for the classes reference toc
FIX: stupid statement in plot_face_recognition
DOC: make the face recognition example static (to avoid having to download the dataset to build the doc)
MISC: style fixes in NMF
ENH: improved contributors guide
ENH: add coverage install command
cosmit
DOC: first stap at the performance chapter (full of TODOs)
DOC: missing class reference
DOC: cosmit
MISC: another style fix for a private function in nmf
DOC: add sample python profiling session
DOC: note for later
DOC: add some missing reference in the performance guide
ENH: avoid the use of lambdas in NMF to get a more informative profiling output
DOC: fix small inaccurracy
DOC: more warning fixes for the classes reference toc
FIX: stupid statement in plot_face_recognition
DOC: make the face recognition example static (to avoid having to download the dataset to build the doc)
DOC: refined the python profiling example
DOC: fix / add more class reference links in perf doc
wording
DOC: started intro YEP
DOC: use uppercase for project / language names
ignore 'cython -a' HTML reports
DOC: more work on the performance chapter
Merge branch 'master' of github.com:scikit-learn/scikit-learn
ENH: spectral clustering doc and style improvements (pep8, docstrings, references, variable names)
cosmit
cosmit
ENH: style / pep8 / docstring fixes in s/l/utils/fixes.py
ENH: new make_rng utility function to help make PRNG seeding explicit
TEST: forgot to checkin the unittest for the make_rng function
ENH: add test for picklability of the spectral clustering model
FIX: make normalizer use the real l1 norm on each row (without assuming positive values)
DOC: typo in line-prof package name
FIX: broken import in bench_plot_nmf
DOC: fix doctests to make them work with numpy 1.5 and olderw
DOC: trim_doctests_flags = True for sphinx
Merge pull request #147 from larsmans/master.
rename rng to random_state
cosmit
delayed check_random_state in k means and spectral clustering
Merge pull request #154 from larsmans/master.
kill trailing spaces
Merge pull request #150 from pprett/learningrate
Compressed README.rst to make it an executive summary
add missing return info in swiss roll docstring
pep8
Paolo Losi (32):
l1 logreg (liblinear): minimum C calculation
l1 logreg (liblinear): minimum C (sparse version)
review of min_C doc strings
numpy/scipy idioms as suggested by agramfort
pep8 compliance
min_C: reworked _y calculation
min_C: check for ill-posed problem _y * X == 0
min_C: let's avoid scipy.sparse top level import
Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into l1_logreg_minC
min_C: fixes to the doc strings
s / shape = / .reshape() /
removed float64 and int32 conversion
docstrings updated
fix for "removed float64 and int32 conversion"
Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into l1_logreg_minC
got rid of np.where
reimplemented l1_min_C as a function
removed old version of min_C
cleanup tests
some more cleanups
bound on C can be calculated also with one class
cleaned up tests
fixes to docstring (as for Fabian comments)
l1_min_c import in svm/__init__.py
Merge branch 'master' of https://github.com/scikit-learn/scikit-learn into l1_logreg_minC
Merge branch 'master' into l1_logreg_minC
DOC: added reference to l1_min_c
the l1 logreg example now works with l1_min_c
coverage 100% + pep8 small fix
Revert "Remove references to y in preprocessing objects."
Merge remote branch 'upstream/master' into revert_preprocessing
TEST: test for scaler in Pipeline
Peter Prettenhofer (25):
refactored SGD module (removed code duplication, better variable naming).
Sample weights for SGDClassifier.
Additional tests for sample weights.
Merge branch 'master' into sgdsampleweight
pep8 + oliviers remarks
SGD: documentation for sample weights and class weights.
added doctests for sparse and dense SVR, NuSVR, NuSVC, and sparse SVC.
added doctests for sparse and dense SVR, NuSVR, NuSVC, and sparse SVC.
Cosmit in fast_sgd.pyx
fixed failed doctest. SVR parameter `p` renamed to `epsilon`.
SGD module supports two additional learning rates: constant and inverse scaling.
Added SGD regression benchmark
Fixed doc-tests and added doc strings for SGD learning rates.
added notes on learning rate schedules to sgd.rst.
added learning rate arguments to docstrings.
Run cython on sgd_fast and sgd_fast_sparse.
pep8 compliance
cosmit: removed trailing whitespace
ROC fixes for trivial classifiers (always predict one class) and input checks (raise ValueError in case of multi-class).
added doctests for roc and refined documentation.
cosmit: pep8
cosmit: beautified plotting.
docstrings: added note to roc_curve, changed y_scores to y_score.
docstrings: changed signature of metrics.auc from fpr and tpr to x and y.
Merge branch 'rocfix'
Thouis (Ray) Jones (4):
Wrapped BallTree in Cython.
Renamed for backwards compatibility, fixed C++ Exceptions to propagate to python
balltree - be explicit about return types' width
check input arguments to BallTree, and be more careful in dealloc'ing
Vincent Michel (6):
Add ward algorithm + feature agglomeration
Add documentation on Ward algorithm
Add documentation on hierachical clustering.
Merge branch 'master' of github.com:scikit-learn/scikit-learn
[base.py] revert previous commit, as the error is raised when object does not follow scikit API
[feature_extraction] Refactor text/* to text.py
Vincent Schut (4):
added a converged_ attribute to GMM to indicate whether fit() returned because of convergence or because max_iter was reached.
reset GMM.converged_ when calling fit() again
split >80 char comment in 2
add GMM.converged_ attribute to GMM docstring
Virgile Fritsch (12):
Refactoring of the covariance estimators modules.
OAS estimator of covariance + new example.
Refactoring of the covariance module and examples + add OAS.
Merge branch 'covariance' of github.com:VirgileFritsch/scikit-learn into covariance
More covariance refactoring: separate MLE computation from object.
Rename BaseCovariance as EmpiricalCovariance + reviews comments.
Remove useless calls to np.asanyarray and improve computation.
Cosmit
Handle integer type case for the estimation of covariances.
Use np.cov instead of empirical_covariance in covariance module.
Reintroduce empirical_covariance function + docstrings + cosmit.
DOC: Documentation about covariance estimation.
Vlad Niculae (96):
Barely functional NMF implementation.
Updated the example with doctest tags.
Cleaned some syntax, implemented more flexibility.
Fixed svd-based initialization, fixed example
Wrote a few test cases.
Merge branch 'master' into nmf
Merged upstream changes
Added benchmark.
Merge branch 'master' into nmf
Added CRO-based initialization, TODO tests, bench
Untracked changes
Merge branch 'master' into nmf-nnls
Put CRO inside nmf.py
Sparsity constraints and measures of sparsity
Merge branch 'master' into nmf-nnls
Style fixes all around. Clarified NNDSVD docstring.
Decreased default NMF tolerance to improve results.
Corrected sparseness measures in NMF.fit
Removed print in CRO.fit; moved utils to top.
Possibly fixed errors in doctest (not verified yet)
Doctests pass now
Fixed bug in transform (lack of .T), renaming
Non-negative least squares testing
Renamed tolerance to tol for consistency.
Wrote tests to cover mostly everything
NMF example on faces dataset
Implemented fit_transform
Tweaked plot aspect ratio
Fixed broken tests due to interface change
Tests now behave better
Renaming; removed numpy 2-norm
Removed useless _fit_transform
CRO inherits from BaseEstimator
Applied suggestions; updated bench and example
Updated doctest
pep8 fixes
Abbreviation expansion in benchmark
Fixed comments in NMF example
pep8 on test_nmf
Removed comments.
Removed CRO for now
Added nndsvda and nndsvdar options for NMF.init
Merge branch 'nmf-nnls' into nmf-lite
Benchmarks and more pep8
Fixed benchmark, removed unused import.
Fixed NMF benchmark colors
Merge branch 'nmf-lite' of git://github.com/agramfort/scikit-learn into nmf-lite
Merged
Fix benchmarks printing of error for alt-nmf
Documentation. Discussed fixes. Set default to ar.
Added KPCA citation.
Added NMF to classes.rst
Fixed non-ascii characters
Change PCA test to fit just once
Updated documentation with references
Added y=None in fit for pipelining
Fixed relative URI in NMF doc refs
Clarification of example in NMF doc
Capitalized Gram, added y=None in fit, pep8 test.
Docstring formatting in test_nmf.py
Docstrings in nmf.py
Merge branch 'nmf-nnls'. Docstring fixes, mainly.
Clarified NNDSVD in docstring
Documented NNDSVD. Fixed ar perturbation range.
Corrected error in docstring re: nndsvdar
Added disclaimer in nndsvdar docstring
Clarified invalid sparseness parameter error msg.
Clarified init parameter error message.
Transposed shape of components_ attribute
Renamed NMF to ProjectedGradientNMF
Updated authors
Merge branch 'master' into nmf-lite
DOC: Added both plots to NMF doc, tweaked plots.
DOC: Made plots look better.
pep8 in plot_kpca
Attributes renamed and documented.
Began work on decompositions package.
FIX: very confusing internal naming in NMF
Merge branch 'nmf-fix' into decomposition
Decomposition module WIP
Merge branch 'master' into nmf-fix
Merge branch 'master' into decomposition
Working decomposition package
MISC: pep8ification
Missed one reference
Merge branch 'master' into decomposition
FIX: KernelPCA plot in doc
FIX: forgot to track init file in tests
API: components_ shape fixed in PCA classes
ENH: More accurate and clean numeric code in PCA
ENH: More avoidance of np.dot for diagonal entries
Renamed fastica.py to fastica_.py
Merge branch 'master' into decomposition
FIX: Explicit docstring inheritance
FIX: last char in char analyzer, max_df behaviour
FIX: doctest
Yann Malet (2):
Update the installation guide with Ubuntu related info
Fix a Broken link in the documentation
Yaroslav Halchenko (15):
DOC: minor spellings and formatting (trailing spaces, consistent spacing etc)
Merge (theirs) branch '0.8.X' into releases
Merge branch 'releases' (from 0.8.X) into dfsg
Merge branch 'dfsg' into debian
just a placeholder changelog for upcoming release
Boost policy compliance to 3.9.2 -- no changes
RF: use joblib.logger submodule itself while accessing its function in grid_search
RF: use joblib.logger submodule itself while accessing its function in grid_search
Merge (theirs) commit '0.8' into releases
Merge branch 'releases' (0.8) into dfsg
Merge branch 'dfsg' (0.8.dfsg) into debian
changelog for 0.8.0.dfsg-1
FIX: reflect SVC API change (eps -> tol) in doc/tutorial.rst
Merge branch '0.8.X' into debian
disable failing hmm test + changelog entry
Your Name (1):
[base.py] Do not break while trying to pprint not existent attribut
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