Received: by mail.netbsd.org (Postfix, from userid 605) id CC4EB84DDC; Tue, 21 Nov 2017 18:45:30 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by mail.netbsd.org (Postfix) with ESMTP id 5762E84D5F for ; Tue, 21 Nov 2017 18:45:30 +0000 (UTC) X-Virus-Scanned: amavisd-new at netbsd.org Received: from mail.netbsd.org ([IPv6:::1]) by localhost (mail.netbsd.org [IPv6:::1]) (amavisd-new, port 10025) with ESMTP id gm9cpaOuE595 for ; Tue, 21 Nov 2017 18:45:29 +0000 (UTC) Received: from cvs.NetBSD.org (ivanova.NetBSD.org [IPv6:2001:470:a085:999:28c:faff:fe03:5984]) by mail.netbsd.org (Postfix) with ESMTP id 34D2A84D4B for ; Tue, 21 Nov 2017 18:45:29 +0000 (UTC) Received: by cvs.NetBSD.org (Postfix, from userid 500) id 2F62CFB40; Tue, 21 Nov 2017 18:45:29 +0000 (UTC) Content-Transfer-Encoding: 7bit Content-Type: multipart/mixed; boundary="_----------=_151128992994150" MIME-Version: 1.0 Date: Tue, 21 Nov 2017 18:45:29 +0000 From: "Min Sik Kim" Subject: CVS commit: pkgsrc/math/py-scikit-learn To: pkgsrc-changes@NetBSD.org Reply-To: minskim@netbsd.org X-Mailer: log_accum Message-Id: <20171121184529.2F62CFB40@cvs.NetBSD.org> Sender: pkgsrc-changes-owner@NetBSD.org List-Id: pkgsrc-changes.NetBSD.org Precedence: bulk List-Unsubscribe: This is a multi-part message in MIME format. --_----------=_151128992994150 Content-Disposition: inline Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset="US-ASCII" Module Name: pkgsrc Committed By: minskim Date: Tue Nov 21 18:45:29 UTC 2017 Modified Files: pkgsrc/math/py-scikit-learn: Makefile PLIST distinfo Log Message: math/py-scikit-learn: Update to 0.19.1 Notable new features since 0.18.2: - `neighbors.LocalOutlierFactor` for anomaly detection - `preprocessing.QuantileTransformer` for robust feature transformation - `multioutput.ClassifierChain` meta-estimator to simply account for dependencies between classes in multilabel problem - multiplicative update in `decomposition.NMF` - multinomial `linear_model.LogisticRegression` with L1 loss To generate a diff of this commit: cvs rdiff -u -r1.2 -r1.3 pkgsrc/math/py-scikit-learn/Makefile \ pkgsrc/math/py-scikit-learn/distinfo cvs rdiff -u -r1.1 -r1.2 pkgsrc/math/py-scikit-learn/PLIST Please note that diffs are not public domain; they are subject to the copyright notices on the relevant files. --_----------=_151128992994150 Content-Disposition: inline Content-Length: 15815 Content-Transfer-Encoding: binary Content-Type: text/x-diff; charset=us-ascii Modified files: Index: pkgsrc/math/py-scikit-learn/Makefile diff -u pkgsrc/math/py-scikit-learn/Makefile:1.2 pkgsrc/math/py-scikit-learn/Makefile:1.3 --- pkgsrc/math/py-scikit-learn/Makefile:1.2 Tue Nov 14 22:56:37 2017 +++ pkgsrc/math/py-scikit-learn/Makefile Tue Nov 21 18:45:28 2017 @@ -1,6 +1,6 @@ -# $NetBSD: Makefile,v 1.2 2017/11/14 22:56:37 minskim Exp $ +# $NetBSD: Makefile,v 1.3 2017/11/21 18:45:28 minskim Exp $ -DISTNAME= scikit-learn-0.18.2 +DISTNAME= scikit-learn-0.19.1 PKGNAME= ${PYPKGPREFIX}-${DISTNAME} CATEGORIES= math MASTER_SITES= ${MASTER_SITE_PYPI:=s/scikit-learn/} @@ -10,6 +10,7 @@ HOMEPAGE= http://scikit-learn.org/ COMMENT= Machine learning algorithms for Python LICENSE= modified-bsd +BUILD_DEPENDS+= ${PYPKGPREFIX}-nose-[0-9]*:../../devel/py-nose DEPENDS+= ${PYPKGPREFIX}-scipy>=0.15.0:../../math/py-scipy USE_LANGUAGES= c c++ fortran @@ -17,6 +18,6 @@ USE_LANGUAGES= c c++ fortran .include "../../lang/python/egg.mk" .include "../../math/blas/buildlink3.mk" .include "../../math/lapack/buildlink3.mk" -BUILDLINK_API_DEPENDS.py-numpy+= ${PYPKGPREFIX}-numpy>=1.6.1 +BUILDLINK_API_DEPENDS.py-numpy+= ${PYPKGPREFIX}-numpy>=1.8.2 .include "../../math/py-numpy/buildlink3.mk" .include "../../mk/bsd.pkg.mk" Index: pkgsrc/math/py-scikit-learn/distinfo diff -u pkgsrc/math/py-scikit-learn/distinfo:1.2 pkgsrc/math/py-scikit-learn/distinfo:1.3 --- pkgsrc/math/py-scikit-learn/distinfo:1.2 Tue Nov 14 22:56:37 2017 +++ pkgsrc/math/py-scikit-learn/distinfo Tue Nov 21 18:45:28 2017 @@ -1,6 +1,6 @@ -$NetBSD: distinfo,v 1.2 2017/11/14 22:56:37 minskim Exp $ +$NetBSD: distinfo,v 1.3 2017/11/21 18:45:28 minskim Exp $ -SHA1 (scikit-learn-0.18.2.tar.gz) = 0931b7d7c9db97b02fb4de34c4e24a01e2bf000b -RMD160 (scikit-learn-0.18.2.tar.gz) = 037129c5d196a55f2b0359f171616c9922b12d4d -SHA512 (scikit-learn-0.18.2.tar.gz) = 7c5c7bdd577ad215790654ce1eff6e802aebe53283ab6c5f12684cf99aeecc8976f9a9803f619f549d4d03be0d7634f249046e4b4f15afa12aecb2697e2e0b05 -Size (scikit-learn-0.18.2.tar.gz) = 9224516 bytes +SHA1 (scikit-learn-0.19.1.tar.gz) = 3a3b4d6f27c6bdf12f870a7d78af22e1cdec9eb6 +RMD160 (scikit-learn-0.19.1.tar.gz) = dfb92fedadc1fecd9934f85321156f3f5d197a2e +SHA512 (scikit-learn-0.19.1.tar.gz) = a783067d8b69c8720d00b443d985c32ab366c14e49184ebc4b73d8a8bfd28311461013b17c221a9b64d3a3faa2e46ce1badf77e340f8ae3b2bf08d95ecce0b2c +Size (scikit-learn-0.19.1.tar.gz) = 9526647 bytes Index: pkgsrc/math/py-scikit-learn/PLIST diff -u pkgsrc/math/py-scikit-learn/PLIST:1.1 pkgsrc/math/py-scikit-learn/PLIST:1.2 --- pkgsrc/math/py-scikit-learn/PLIST:1.1 Wed Jul 5 21:31:28 2017 +++ pkgsrc/math/py-scikit-learn/PLIST Tue Nov 21 18:45:28 2017 @@ -1,4 +1,4 @@ -@comment $NetBSD: PLIST,v 1.1 2017/07/05 21:31:28 minskim Exp $ +@comment $NetBSD: PLIST,v 1.2 2017/11/21 18:45:28 minskim Exp $ ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt @@ -33,8 +33,8 @@ ${PYSITELIB}/sklearn/cluster/_feature_ag ${PYSITELIB}/sklearn/cluster/_feature_agglomeration.pyc ${PYSITELIB}/sklearn/cluster/_feature_agglomeration.pyo ${PYSITELIB}/sklearn/cluster/_hierarchical.so -${PYSITELIB}/sklearn/cluster/_k_means.so ${PYSITELIB}/sklearn/cluster/_k_means_elkan.so +${PYSITELIB}/sklearn/cluster/_k_means.so ${PYSITELIB}/sklearn/cluster/affinity_propagation_.py ${PYSITELIB}/sklearn/cluster/affinity_propagation_.pyc ${PYSITELIB}/sklearn/cluster/affinity_propagation_.pyo @@ -161,15 +161,17 @@ ${PYSITELIB}/sklearn/datasets/data/digit ${PYSITELIB}/sklearn/datasets/data/iris.csv ${PYSITELIB}/sklearn/datasets/data/linnerud_exercise.csv ${PYSITELIB}/sklearn/datasets/data/linnerud_physiological.csv +${PYSITELIB}/sklearn/datasets/data/wine_data.csv ${PYSITELIB}/sklearn/datasets/descr/boston_house_prices.rst ${PYSITELIB}/sklearn/datasets/descr/breast_cancer.rst ${PYSITELIB}/sklearn/datasets/descr/diabetes.rst ${PYSITELIB}/sklearn/datasets/descr/digits.rst ${PYSITELIB}/sklearn/datasets/descr/iris.rst ${PYSITELIB}/sklearn/datasets/descr/linnerud.rst -${PYSITELIB}/sklearn/datasets/images/README.txt +${PYSITELIB}/sklearn/datasets/descr/wine_data.rst ${PYSITELIB}/sklearn/datasets/images/china.jpg ${PYSITELIB}/sklearn/datasets/images/flower.jpg +${PYSITELIB}/sklearn/datasets/images/README.txt ${PYSITELIB}/sklearn/datasets/kddcup99.py ${PYSITELIB}/sklearn/datasets/kddcup99.pyc ${PYSITELIB}/sklearn/datasets/kddcup99.pyo @@ -204,8 +206,8 @@ ${PYSITELIB}/sklearn/datasets/tests/__in ${PYSITELIB}/sklearn/datasets/tests/__init__.pyc ${PYSITELIB}/sklearn/datasets/tests/__init__.pyo ${PYSITELIB}/sklearn/datasets/tests/data/svmlight_classification.txt -${PYSITELIB}/sklearn/datasets/tests/data/svmlight_invalid.txt ${PYSITELIB}/sklearn/datasets/tests/data/svmlight_invalid_order.txt +${PYSITELIB}/sklearn/datasets/tests/data/svmlight_invalid.txt ${PYSITELIB}/sklearn/datasets/tests/data/svmlight_multilabel.txt ${PYSITELIB}/sklearn/datasets/tests/test_20news.py ${PYSITELIB}/sklearn/datasets/tests/test_20news.pyc @@ -354,12 +356,12 @@ ${PYSITELIB}/sklearn/ensemble/tests/test ${PYSITELIB}/sklearn/ensemble/tests/test_forest.py ${PYSITELIB}/sklearn/ensemble/tests/test_forest.pyc ${PYSITELIB}/sklearn/ensemble/tests/test_forest.pyo -${PYSITELIB}/sklearn/ensemble/tests/test_gradient_boosting.py -${PYSITELIB}/sklearn/ensemble/tests/test_gradient_boosting.pyc -${PYSITELIB}/sklearn/ensemble/tests/test_gradient_boosting.pyo ${PYSITELIB}/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py ${PYSITELIB}/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.pyc ${PYSITELIB}/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.pyo +${PYSITELIB}/sklearn/ensemble/tests/test_gradient_boosting.py +${PYSITELIB}/sklearn/ensemble/tests/test_gradient_boosting.pyc +${PYSITELIB}/sklearn/ensemble/tests/test_gradient_boosting.pyo ${PYSITELIB}/sklearn/ensemble/tests/test_iforest.py ${PYSITELIB}/sklearn/ensemble/tests/test_iforest.pyc ${PYSITELIB}/sklearn/ensemble/tests/test_iforest.pyo @@ -402,6 +404,9 @@ ${PYSITELIB}/sklearn/externals/joblib/_m ${PYSITELIB}/sklearn/externals/joblib/_parallel_backends.py ${PYSITELIB}/sklearn/externals/joblib/_parallel_backends.pyc ${PYSITELIB}/sklearn/externals/joblib/_parallel_backends.pyo +${PYSITELIB}/sklearn/externals/joblib/backports.py +${PYSITELIB}/sklearn/externals/joblib/backports.pyc +${PYSITELIB}/sklearn/externals/joblib/backports.pyo ${PYSITELIB}/sklearn/externals/joblib/disk.py ${PYSITELIB}/sklearn/externals/joblib/disk.pyc ${PYSITELIB}/sklearn/externals/joblib/disk.pyo @@ -423,27 +428,21 @@ ${PYSITELIB}/sklearn/externals/joblib/me ${PYSITELIB}/sklearn/externals/joblib/my_exceptions.py ${PYSITELIB}/sklearn/externals/joblib/my_exceptions.pyc ${PYSITELIB}/sklearn/externals/joblib/my_exceptions.pyo -${PYSITELIB}/sklearn/externals/joblib/numpy_pickle.py -${PYSITELIB}/sklearn/externals/joblib/numpy_pickle.pyc -${PYSITELIB}/sklearn/externals/joblib/numpy_pickle.pyo ${PYSITELIB}/sklearn/externals/joblib/numpy_pickle_compat.py ${PYSITELIB}/sklearn/externals/joblib/numpy_pickle_compat.pyc ${PYSITELIB}/sklearn/externals/joblib/numpy_pickle_compat.pyo ${PYSITELIB}/sklearn/externals/joblib/numpy_pickle_utils.py ${PYSITELIB}/sklearn/externals/joblib/numpy_pickle_utils.pyc ${PYSITELIB}/sklearn/externals/joblib/numpy_pickle_utils.pyo +${PYSITELIB}/sklearn/externals/joblib/numpy_pickle.py +${PYSITELIB}/sklearn/externals/joblib/numpy_pickle.pyc +${PYSITELIB}/sklearn/externals/joblib/numpy_pickle.pyo ${PYSITELIB}/sklearn/externals/joblib/parallel.py ${PYSITELIB}/sklearn/externals/joblib/parallel.pyc ${PYSITELIB}/sklearn/externals/joblib/parallel.pyo ${PYSITELIB}/sklearn/externals/joblib/pool.py ${PYSITELIB}/sklearn/externals/joblib/pool.pyc ${PYSITELIB}/sklearn/externals/joblib/pool.pyo -${PYSITELIB}/sklearn/externals/joblib/testing.py -${PYSITELIB}/sklearn/externals/joblib/testing.pyc -${PYSITELIB}/sklearn/externals/joblib/testing.pyo -${PYSITELIB}/sklearn/externals/odict.py -${PYSITELIB}/sklearn/externals/odict.pyc -${PYSITELIB}/sklearn/externals/odict.pyo ${PYSITELIB}/sklearn/externals/setup.py ${PYSITELIB}/sklearn/externals/setup.pyc ${PYSITELIB}/sklearn/externals/setup.pyo @@ -583,9 +582,6 @@ ${PYSITELIB}/sklearn/kernel_approximatio ${PYSITELIB}/sklearn/kernel_ridge.py ${PYSITELIB}/sklearn/kernel_ridge.pyc ${PYSITELIB}/sklearn/kernel_ridge.pyo -${PYSITELIB}/sklearn/lda.py -${PYSITELIB}/sklearn/lda.pyc -${PYSITELIB}/sklearn/lda.pyo ${PYSITELIB}/sklearn/learning_curve.py ${PYSITELIB}/sklearn/learning_curve.pyc ${PYSITELIB}/sklearn/learning_curve.pyo @@ -629,10 +625,10 @@ ${PYSITELIB}/sklearn/linear_model/ransac ${PYSITELIB}/sklearn/linear_model/ridge.py ${PYSITELIB}/sklearn/linear_model/ridge.pyc ${PYSITELIB}/sklearn/linear_model/ridge.pyo +${PYSITELIB}/sklearn/linear_model/sag_fast.so ${PYSITELIB}/sklearn/linear_model/sag.py ${PYSITELIB}/sklearn/linear_model/sag.pyc ${PYSITELIB}/sklearn/linear_model/sag.pyo -${PYSITELIB}/sklearn/linear_model/sag_fast.so ${PYSITELIB}/sklearn/linear_model/setup.py ${PYSITELIB}/sklearn/linear_model/setup.pyc ${PYSITELIB}/sklearn/linear_model/setup.pyo @@ -772,10 +768,10 @@ ${PYSITELIB}/sklearn/metrics/cluster/tes ${PYSITELIB}/sklearn/metrics/cluster/unsupervised.py ${PYSITELIB}/sklearn/metrics/cluster/unsupervised.pyc ${PYSITELIB}/sklearn/metrics/cluster/unsupervised.pyo +${PYSITELIB}/sklearn/metrics/pairwise_fast.so ${PYSITELIB}/sklearn/metrics/pairwise.py ${PYSITELIB}/sklearn/metrics/pairwise.pyc ${PYSITELIB}/sklearn/metrics/pairwise.pyo -${PYSITELIB}/sklearn/metrics/pairwise_fast.so ${PYSITELIB}/sklearn/metrics/ranking.py ${PYSITELIB}/sklearn/metrics/ranking.pyc ${PYSITELIB}/sklearn/metrics/ranking.pyo @@ -899,9 +895,13 @@ ${PYSITELIB}/sklearn/neighbors/kd_tree.s ${PYSITELIB}/sklearn/neighbors/kde.py ${PYSITELIB}/sklearn/neighbors/kde.pyc ${PYSITELIB}/sklearn/neighbors/kde.pyo +${PYSITELIB}/sklearn/neighbors/lof.py +${PYSITELIB}/sklearn/neighbors/lof.pyc +${PYSITELIB}/sklearn/neighbors/lof.pyo ${PYSITELIB}/sklearn/neighbors/nearest_centroid.py ${PYSITELIB}/sklearn/neighbors/nearest_centroid.pyc ${PYSITELIB}/sklearn/neighbors/nearest_centroid.pyo +${PYSITELIB}/sklearn/neighbors/quad_tree.so ${PYSITELIB}/sklearn/neighbors/regression.py ${PYSITELIB}/sklearn/neighbors/regression.pyc ${PYSITELIB}/sklearn/neighbors/regression.pyo @@ -926,12 +926,18 @@ ${PYSITELIB}/sklearn/neighbors/tests/tes ${PYSITELIB}/sklearn/neighbors/tests/test_kde.py ${PYSITELIB}/sklearn/neighbors/tests/test_kde.pyc ${PYSITELIB}/sklearn/neighbors/tests/test_kde.pyo +${PYSITELIB}/sklearn/neighbors/tests/test_lof.py +${PYSITELIB}/sklearn/neighbors/tests/test_lof.pyc +${PYSITELIB}/sklearn/neighbors/tests/test_lof.pyo ${PYSITELIB}/sklearn/neighbors/tests/test_nearest_centroid.py ${PYSITELIB}/sklearn/neighbors/tests/test_nearest_centroid.pyc ${PYSITELIB}/sklearn/neighbors/tests/test_nearest_centroid.pyo ${PYSITELIB}/sklearn/neighbors/tests/test_neighbors.py ${PYSITELIB}/sklearn/neighbors/tests/test_neighbors.pyc ${PYSITELIB}/sklearn/neighbors/tests/test_neighbors.pyo +${PYSITELIB}/sklearn/neighbors/tests/test_quad_tree.py +${PYSITELIB}/sklearn/neighbors/tests/test_quad_tree.pyc +${PYSITELIB}/sklearn/neighbors/tests/test_quad_tree.pyo ${PYSITELIB}/sklearn/neighbors/typedefs.so ${PYSITELIB}/sklearn/neighbors/unsupervised.py ${PYSITELIB}/sklearn/neighbors/unsupervised.pyc @@ -996,9 +1002,6 @@ ${PYSITELIB}/sklearn/preprocessing/tests ${PYSITELIB}/sklearn/preprocessing/tests/test_label.py ${PYSITELIB}/sklearn/preprocessing/tests/test_label.pyc ${PYSITELIB}/sklearn/preprocessing/tests/test_label.pyo -${PYSITELIB}/sklearn/qda.py -${PYSITELIB}/sklearn/qda.pyc -${PYSITELIB}/sklearn/qda.pyo ${PYSITELIB}/sklearn/random_projection.py ${PYSITELIB}/sklearn/random_projection.pyc ${PYSITELIB}/sklearn/random_projection.pyo @@ -1030,8 +1033,8 @@ ${PYSITELIB}/sklearn/svm/classes.py ${PYSITELIB}/sklearn/svm/classes.pyc ${PYSITELIB}/sklearn/svm/classes.pyo ${PYSITELIB}/sklearn/svm/liblinear.so -${PYSITELIB}/sklearn/svm/libsvm.so ${PYSITELIB}/sklearn/svm/libsvm_sparse.so +${PYSITELIB}/sklearn/svm/libsvm.so ${PYSITELIB}/sklearn/svm/setup.py ${PYSITELIB}/sklearn/svm/setup.pyc ${PYSITELIB}/sklearn/svm/setup.pyo @@ -1062,12 +1065,18 @@ ${PYSITELIB}/sklearn/tests/test_check_bu ${PYSITELIB}/sklearn/tests/test_common.py ${PYSITELIB}/sklearn/tests/test_common.pyc ${PYSITELIB}/sklearn/tests/test_common.pyo +${PYSITELIB}/sklearn/tests/test_config.py +${PYSITELIB}/sklearn/tests/test_config.pyc +${PYSITELIB}/sklearn/tests/test_config.pyo ${PYSITELIB}/sklearn/tests/test_cross_validation.py ${PYSITELIB}/sklearn/tests/test_cross_validation.pyc ${PYSITELIB}/sklearn/tests/test_cross_validation.pyo ${PYSITELIB}/sklearn/tests/test_discriminant_analysis.py ${PYSITELIB}/sklearn/tests/test_discriminant_analysis.pyc ${PYSITELIB}/sklearn/tests/test_discriminant_analysis.pyo +${PYSITELIB}/sklearn/tests/test_docstring_parameters.py +${PYSITELIB}/sklearn/tests/test_docstring_parameters.pyc +${PYSITELIB}/sklearn/tests/test_docstring_parameters.pyo ${PYSITELIB}/sklearn/tests/test_dummy.py ${PYSITELIB}/sklearn/tests/test_dummy.pyc ${PYSITELIB}/sklearn/tests/test_dummy.pyo @@ -1163,10 +1172,10 @@ ${PYSITELIB}/sklearn/utils/fast_dict.so ${PYSITELIB}/sklearn/utils/fixes.py ${PYSITELIB}/sklearn/utils/fixes.pyc ${PYSITELIB}/sklearn/utils/fixes.pyo +${PYSITELIB}/sklearn/utils/graph_shortest_path.so ${PYSITELIB}/sklearn/utils/graph.py ${PYSITELIB}/sklearn/utils/graph.pyc ${PYSITELIB}/sklearn/utils/graph.pyo -${PYSITELIB}/sklearn/utils/graph_shortest_path.so ${PYSITELIB}/sklearn/utils/lgamma.so ${PYSITELIB}/sklearn/utils/linear_assignment_.py ${PYSITELIB}/sklearn/utils/linear_assignment_.pyc @@ -1191,27 +1200,19 @@ ${PYSITELIB}/sklearn/utils/seq_dataset.s ${PYSITELIB}/sklearn/utils/setup.py ${PYSITELIB}/sklearn/utils/setup.pyc ${PYSITELIB}/sklearn/utils/setup.pyo +${PYSITELIB}/sklearn/utils/sparsefuncs_fast.so ${PYSITELIB}/sklearn/utils/sparsefuncs.py ${PYSITELIB}/sklearn/utils/sparsefuncs.pyc ${PYSITELIB}/sklearn/utils/sparsefuncs.pyo -${PYSITELIB}/sklearn/utils/sparsefuncs_fast.so ${PYSITELIB}/sklearn/utils/sparsetools/__init__.py ${PYSITELIB}/sklearn/utils/sparsetools/__init__.pyc ${PYSITELIB}/sklearn/utils/sparsetools/__init__.pyo -${PYSITELIB}/sklearn/utils/sparsetools/_graph_tools.so -${PYSITELIB}/sklearn/utils/sparsetools/_graph_validation.py -${PYSITELIB}/sklearn/utils/sparsetools/_graph_validation.pyc -${PYSITELIB}/sklearn/utils/sparsetools/_graph_validation.pyo -${PYSITELIB}/sklearn/utils/sparsetools/_traversal.so ${PYSITELIB}/sklearn/utils/sparsetools/setup.py ${PYSITELIB}/sklearn/utils/sparsetools/setup.pyc ${PYSITELIB}/sklearn/utils/sparsetools/setup.pyo ${PYSITELIB}/sklearn/utils/sparsetools/tests/__init__.py ${PYSITELIB}/sklearn/utils/sparsetools/tests/__init__.pyc ${PYSITELIB}/sklearn/utils/sparsetools/tests/__init__.pyo -${PYSITELIB}/sklearn/utils/sparsetools/tests/test_traversal.py -${PYSITELIB}/sklearn/utils/sparsetools/tests/test_traversal.pyc -${PYSITELIB}/sklearn/utils/sparsetools/tests/test_traversal.pyo ${PYSITELIB}/sklearn/utils/stats.py ${PYSITELIB}/sklearn/utils/stats.pyc ${PYSITELIB}/sklearn/utils/stats.pyo @@ -1227,6 +1228,9 @@ ${PYSITELIB}/sklearn/utils/tests/test_be ${PYSITELIB}/sklearn/utils/tests/test_class_weight.py ${PYSITELIB}/sklearn/utils/tests/test_class_weight.pyc ${PYSITELIB}/sklearn/utils/tests/test_class_weight.pyo +${PYSITELIB}/sklearn/utils/tests/test_deprecation.py +${PYSITELIB}/sklearn/utils/tests/test_deprecation.pyc +${PYSITELIB}/sklearn/utils/tests/test_deprecation.pyo ${PYSITELIB}/sklearn/utils/tests/test_estimator_checks.py ${PYSITELIB}/sklearn/utils/tests/test_estimator_checks.pyc ${PYSITELIB}/sklearn/utils/tests/test_estimator_checks.pyo --_----------=_151128992994150--