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0.22.1 release (#15998)
* DOC fixed default values in dbscan (#15753) * DOC fix incorrect branch reference in contributing doc (#15779) * DOC relabel Feature -> Efficiency in change log (#15770) * DOC fixed Birch default value (#15780) * STY Minior change on code padding in website theme (#15768) * DOC Fix yticklabels order in permutation importances example (#15799) * Fix yticklabels order in permutation importances example * STY Update wrapper width (#15793) * DOC Long sentence was hard to parse and ambiguous in _classification.py (#15769) * DOC Removed duplicate 'classes_' attribute in Naive Bayes classifiers (#15811) * BUG Fixes pandas dataframe bug with boolean dtypes (#15797) * BUG Returns only public estimators in all_estimators (#15380) * DOC improve doc for multiclass and types_of_target (#15333) * TST Increases tol for check_pca_float_dtype_preservation assertion (#15775) * update _alpha_grid class in _coordinate_descent.py (#15835) * FIX Explicit conversion of ndarray to object dtype. (#15832) * BLD Parallelize sphinx builds on circle ci (#15745) * DOC correct url for preprocessing (#15853) * MNT avoid generating too many cross links in examples (#15844) * DOC Correct wrong doc in precision_recall_fscore_support (#15833) * DOC add comment in check_pca_float_dtype_preservation (#15819) Documenting the changes in #15775 * DOC correct indents in docstring _split.py (#15843) * DOC fix docstring of KMeans based on sklearn guideline (#15754) * DOC fix docstring of AgglomerativeClustering based on sklearn guideline (#15764) * DOC fix docstring of AffinityPropagation based on sklearn guideline (#15777) * DOC fixed SpectralCoclustering and SpectralBiclustering docstrings following sklearn guideline (#15778) * DOC fix FeatureAgglomeration and MiniBatchKMeans docstring following sklearn guideline (#15809) * TST Specify random_state in test_cv_iterable_wrapper (#15829) * DOC Include LinearSV{C, R} in models that support sample_weights (#15871) * DOC correct some indents (#15875) * DOC Fix documentation of default values in tree classes (#15870) * DOC fix typo in docstring (#15887) * DOC FIX default value for xticks_rotation in plot_confusion_matrix (#15890) * Fix imports in pip3 ubuntu by suffixing affected files (#15891) * MNT Raise erorr when normalize is invalid in confusion_matrix (#15888) * [MRG] DOC Increases search results for API object results (#15574) * MNT Ignores warning in pyamg for deprecated scipy.random (#15914) * DOC Instructions to troubleshoot Windows path length limit (#15916) * DOC add versionadded directive to some estimators (#15849) * DOC clarify doc-string of roc_auc_score and add references (#15293) * MNT Adds skip lint to azure pipeline CI (#15904) * BLD Fixes bug when building with NO_MATHJAX=1 (#15892) * [MRG] BUG Checks to number of axes in passed in ax more generically (#15760) * EXA Minor fixes in plot_sparse_logistic_regression_20newsgroups.py (#15925) * BUG Do not shadow public functions with deprecated modules (#15846) * Import sklearn._distributor_init first (#15929) * DOC Fix typos, via a Levenshtein-style corrector (#15923) * DOC in canned comment, mention that PR title becomes commit me… (#15935) * DOC/EXA Correct spelling of "Classification" (#15938) * BUG fix pip3 ubuntu update by suffixing file (#15928) * [MRG] Ways to compute center_shift_total were different in "full" and "elkan" algorithms. (#15930) * TST Fixes integer test for train and test indices (#15941) * BUG ensure that parallel/sequential give the same permutation importances (#15933) * Formatting fixes in changelog (#15944) * MRG FIX: order of values of self.quantiles_ in QuantileTransformer (#15751) * [MRG] BUG Fixes constrast in plot_confusion_matrix (#15936) * BUG use zero_division argument in classification_report (#15879) * DOC change logreg solver in plot_logistic_path (#15927) * DOC fix whats new ordering (#15961) * COSMIT use np.iinfo to define the max int32 (#15960) * DOC Apply numpydoc validation to VotingRegressor methods (#15969) Co-authored-by: Tiffany R. Williams <Tiffany8@users.noreply.github.com> * DOC improve naive_bayes.py documentation (#15943) Co-authored-by: Jigna Panchal <40188288+jigna-panchal@users.noreply.github.com> * DOC Fix default values in Perceptron documentation (#15965) * DOC Improve default values in logistic documentation (#15966) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * DOC Improve documentation of default values for imputers (#15964) * EXA/MAINT Simplify code in manifold learning example (#15949) * DOC Improve default values in SGD documentation (#15967) * DOC Improve defaults in neural network documentation (#15968) * FIX use safe_sparse_dot for callable kernel in LabelSpreading (#15868) * BUG Adds attributes back to check_is_fitted (#15947) Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * DOC update check_is_fitted what's new * DOC change python-devel to python3-devel for yum. (#15986) * DOC Correct the default value of values_format in plot_confusion_matrix (#15981) * [MRG] MNT Updates pypy to use 7.2.0 (#15954) * FIX Add missing 'values_format' param to disp.plot() in plot_confusion_matrix (#15937) * FIX support scalar values in fit_params in SearchCV (#15863) * support a scalar fit param * pep8 * TST add test for desired behavior * FIX introduce _check_fit_params to validate parameters * DOC update whats new * TST tests both grid-search and randomize-search * PEP8 * DOC revert unecessary change * TST add test for _check_fit_params * olivier comments * TST fixes * DOC whats new * DOC whats new * TST revert type of error * add olivier suggestions * address olivier comments * address thomas comments * PEP8 * comments olivier * TST fix test by passing X * avoid to call twice tocsr * add case column/row sparse in check_fit_param * provide optional indices * TST check content when indexing params * PEP8 * TST update tests to check identity * stupid fix * use a distribution in RandomizedSearchCV * MNT add lightgbm to one of the CI build * move to another build * do not install dependencies lightgbm * MNT comments on the CI setup * address some comments * Test fit_params compat without dependency on lightgbm Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * Remove abstractmethod that silently brake downstream packages (#15996) * FIX restore BaseNB._check_X without abstractmethod decoration (#15997) * Update v0.22 changelog for 0.22.1 (#16002) - set the date - move entry for quantile transformer to the 0.22.1 section - fix alphabetical ordering of modules * STY Removes hidden scroll bar (#15999) * Flake8 fixes * Fix: remove left-over lines that should have been deleted during conflict resolution when rebasing * Fix missing imports * Update version * Fix test_check_is_fitted * Make test_sag_regressor_computed_correctly deterministic (#16003) Fix #15818. Co-authored-by: cgsavard <claire.savard@colorado.edu> Co-authored-by: Joel Nothman <joel.nothman@gmail.com> Co-authored-by: Thomas J Fan <thomasjpfan@gmail.com> Co-authored-by: Matt Hall <matt@agilegeoscience.com> Co-authored-by: Kathryn Poole <kathryn.poole2@gmail.com> Co-authored-by: lucyleeow <jliu176@gmail.com> Co-authored-by: JJmistry <jayminm22@gmail.com> Co-authored-by: Juan Carlos Alfaro Jiménez <JuanCarlos.Alfaro@uclm.es> Co-authored-by: SylvainLan <sylvain.s.lannuzel@gmail.com> Co-authored-by: Nicolas Hug <contact@nicolas-hug.com> Co-authored-by: Hanmin Qin <qinhanmin2005@sina.com> Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com> Co-authored-by: Vachan D A <vachanda@users.noreply.github.com> Co-authored-by: Sambhav Kothari <sambhavs.email@gmail.com> Co-authored-by: wenliwyan <12013376+wenliwyan@users.noreply.github.com> Co-authored-by: shivamgargsya <shivam.gargshya@gmail.com> Co-authored-by: Reshama Shaikh <rs2715@stern.nyu.edu> Co-authored-by: Oliver Urs Lenz <oulenz@users.noreply.github.com> Co-authored-by: Loïc Estève <loic.esteve@ymail.com> Co-authored-by: Brian Wignall <BrianWignall@gmail.com> Co-authored-by: Ritchie Ng <ritchieng@u.nus.edu> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: inderjeet <43402782+inder128@users.noreply.github.com> Co-authored-by: scibol <scibol@users.noreply.github.com> Co-authored-by: Tirth Patel <tirthasheshpatel@gmail.com> Co-authored-by: Bibhash Chandra Mitra <bibhashm220896@gmail.com> Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org> Co-authored-by: Tiffany R. Williams <Tiffany8@users.noreply.github.com> Co-authored-by: Jigna Panchal <40188288+jigna-panchal@users.noreply.github.com> Co-authored-by: @nkish <19225359+ankishb@users.noreply.github.com> Co-authored-by: Pulkit Mehta <pulkit_mehta_work@yahoo.com> Co-authored-by: David Breuer <DavidBreuer@users.noreply.github.com> Co-authored-by: Niklas <niklas.sm+github@gmail.com> Co-authored-by: Windber <guolipengyeah@126.com> Co-authored-by: Stephen Blystone <29995339+blynotes@users.noreply.github.com> Co-authored-by: Brigitta Sipőcz <b.sipocz@gmail.com>
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‎.circleci/config.yml

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pypy3:
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docker:
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- image: pypy:3.6-7.1.1
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- image: pypy:3.6-7.2.0
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steps:
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- restore_cache:
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keys:

‎azure-pipelines.yml

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- bash: conda create --name flake8_env --yes flake8
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displayName: Install flake8
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- bash: |
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source activate flake8_env
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./build_tools/circle/linting.sh
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if [[ $BUILD_SOURCEVERSIONMESSAGE =~ \[lint\ skip\] ]]; then
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# skip linting
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echo "Skipping linting"
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exit 0
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else
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source activate flake8_env
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./build_tools/circle/linting.sh
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fi
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displayName: Run linting
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JOBLIB_VERSION: '0.12.3'
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COVERAGE: 'true'
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# Linux environment to test the latest available dependencies and MKL.
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# It runs tests requiring pandas and PyAMG.
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# It runs tests requiring lightgbm, pandas and PyAMG.
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pylatest_pip_openblas_pandas:
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DISTRIB: 'conda-pip-latest'
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# FIXME: pinned until SciPy wheels are available for Pyhon 3.8
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PYTHON_VERSION: '3.8'
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PYTEST_VERSION: '4.6.2'
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COVERAGE: 'true'

‎benchmarks/bench_plot_randomized_svd.py

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# in case the reconstructed (dense) matrix is too large
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MAX_MEMORY = np.int(2e9)
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# The following datasets can be dowloaded manually from:
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# The following datasets can be downloaded manually from:
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# CIFAR 10: https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
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# SVHN: http://ufldl.stanford.edu/housenumbers/train_32x32.mat
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CIFAR_FOLDER = "./cifar-10-batches-py/"

‎benchmarks/bench_text_vectorizers.py

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text = fetch_20newsgroups(subset='train').data[:1000]
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print("="*80 + '\n#' + " Text vectorizers benchmark" + '\n' + '='*80 + '\n')
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print("Using a subset of the 20 newsrgoups dataset ({} documents)."
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print("Using a subset of the 20 newsgroups dataset ({} documents)."
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.format(len(text)))
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print("This benchmarks runs in ~1 min ...")
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‎build_tools/azure/install.sh

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version_ge() {
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# The two version numbers are separated with a new line is piped to sort
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# -rV. The -V activates for version number sorting and -r sorts in
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# decending order. If the first argument is the top element of the sort, it
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# descending order. If the first argument is the top element of the sort, it
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# is greater than or equal to the second argument.
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test "$(printf "${1}\n${2}" | sort -rV | head -n 1)" == "$1"
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}
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python -m pip install numpy scipy cython joblib
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python -m pip install pytest==$PYTEST_VERSION pytest-cov pytest-xdist
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python -m pip install pandas matplotlib pyamg
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# do not install dependencies for lightgbm since it requires scikit-learn
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python -m pip install lightgbm --no-deps
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if [[ "$COVERAGE" == "true" ]]; then

‎build_tools/circle/build_test_pypy.sh

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which python
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# XXX: numpy version pinning can be reverted once PyPy
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# compatibility is resolved for numpy v1.6.x. For instance,
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# when PyPy3 >6.0 is released (see numpy/numpy#12740)
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pip install --extra-index https://antocuni.github.io/pypy-wheels/ubuntu numpy Cython pytest
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pip install scipy sphinx numpydoc docutils joblib pillow
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pip install -U pip
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# pins versions to install wheel from https://antocuni.github.io/pypy-wheels/manylinux2010
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pip install --extra-index-url https://antocuni.github.io/pypy-wheels/manylinux2010 numpy==1.18.0 scipy==1.3.2
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# Install Cython directly
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pip install https://antocuni.github.io/pypy-wheels/ubuntu/Cython/Cython-0.29.14-py3-none-any.whl
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pip install sphinx numpydoc docutils joblib pillow pytest
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‎conftest.py

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for item in items:
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if item.name.endswith(('hashing.FeatureHasher',
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if item.name.endswith(('_hash.FeatureHasher',
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'text.HashingVectorizer')):
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‎doc/Makefile

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#
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# You can set these variables from the command line.
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SPHINXOPTS =
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SPHINXOPTS = -j auto
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SPHINXBUILD ?= sphinx-build
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PAPER =
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BUILDDIR = _build

‎doc/conf.py

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if os.environ.get('NO_MATHJAX'):
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imgmath_image_format = 'svg'
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mathjax_path = ''
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mathjax_path = ('https://cdn.jsdelivr.net/npm/mathjax@3/es5/'
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'branch': binder_branch,
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'dependencies': './binder/requirements.txt',
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'use_jupyter_lab': True
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}
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},
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# avoid generating too many cross links
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'inspect_global_variables': False,
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‎doc/developers/advanced_installation.rst

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If you plan on submitting a pull-request, you should clone from your fork
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#. Install a compiler with OpenMP_ support for your platform. See intructions
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#. Install a compiler with OpenMP_ support for your platform. See instructions
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for :ref:`compiler_windows`, :ref:`compiler_macos`, :ref:`compiler_linux`
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and :ref:`compiler_freebsd`.
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On Red Hat and clones (e.g. CentOS), install the dependencies using::
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sudo yum -y install gcc gcc-c++ python-devel numpy scipy
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sudo yum -y install gcc gcc-c++ python3-devel numpy scipy
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Linux compilers from conda-forge
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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