commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2024-09-03 13:37:32
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.2698 (New)
Package is "python-scikit-learn"
Tue Sep 3 13:37:32 2024 rev:33 rq:1198177 version:1.5.0
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2024-07-30 11:53:50.232005048 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.2698/python-scikit-learn.changes
2024-09-03 13:37:49.135452771 +0200
@@ -1,0 +2,5 @@
+Sun Sep 1 19:25:38 UTC 2024 - Dirk Müller
+
+- prepare for python 3.13 testin
+
+---
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.dIA9pZ/_old 2024-09-03 13:37:49.763478955 +0200
+++ /var/tmp/diff_new_pack.dIA9pZ/_new 2024-09-03 13:37:49.767479122 +0200
@@ -33,6 +33,9 @@
%if "%{flavor}" != "test-py312"
%define skip_python312 1
%endif
+%if "%{flavor}" != "test-py313"
+%define skip_python313 1
+%endif
# Skip empty buildsets, last one is for sle15_python_module_pythons
%if "%{shrink:%{pythons}}" == "" || ("%pythons" == "python311" &&
0%{?skip_python311})
ExclusiveArch: donotbuild
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2024-07-30 11:53:32
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.1882 (New)
Package is "python-scikit-learn"
Tue Jul 30 11:53:32 2024 rev:32 rq:1190078 version:1.5.0
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2024-06-12 15:37:52.197132122 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.1882/python-scikit-learn.changes
2024-07-30 11:53:50.232005048 +0200
@@ -1,0 +2,6 @@
+Mon Jul 29 05:03:23 UTC 2024 - Steve Kowalik
+
+- Add patch support-pytest-8.3.patch:
+ * Fix property wrapping, uncovered by Pytest 8.3 changes.
+
+---
New:
support-pytest-8.3.patch
BETA DEBUG BEGIN:
New:
- Add patch support-pytest-8.3.patch:
* Fix property wrapping, uncovered by Pytest 8.3 changes.
BETA DEBUG END:
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.1FxuUT/_old 2024-07-30 11:53:50.896031812 +0200
+++ /var/tmp/diff_new_pack.1FxuUT/_new 2024-07-30 11:53:50.900031973 +0200
@@ -51,6 +51,8 @@
License:BSD-3-Clause
URL:https://scikit-learn.org/
Source0:
https://files.pythonhosted.org/packages/source/s/scikit-learn/scikit_learn-%{version}.tar.gz
+# PATCH-FIX-UPSTREAM One commit from gh#scikit-learn/scikit-learn#29486
+Patch0: support-pytest-8.3.patch
BuildRequires: %{python_module Cython >= 3.0.10}
BuildRequires: %{python_module devel >= 3.8}
BuildRequires: %{python_module joblib >= 1.2.0}
++ support-pytest-8.3.patch ++
>From 4650e75e543718b2c0d9cf7c56aa9dda3c670c11 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Lo=C3=AFc=20Est=C3=A8ve?=
Date: Tue, 23 Jul 2024 05:36:37 +0200
Subject: [PATCH 4/4] [azure parallel] fix wrapping for pytest 8.3.1
---
sklearn/utils/deprecation.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/sklearn/utils/deprecation.py b/sklearn/utils/deprecation.py
index a3225597701c7..f72f8b8124f28 100644
--- a/sklearn/utils/deprecation.py
+++ b/sklearn/utils/deprecation.py
@@ -97,7 +97,7 @@ def _decorate_property(self, prop):
msg = self.extra
@property
-@functools.wraps(prop)
+@functools.wraps(prop.fget)
def wrapped(*args, **kwargs):
warnings.warn(msg, category=FutureWarning)
return prop.fget(*args, **kwargs)
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2024-06-12 15:37:20
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.19518 (New)
Package is "python-scikit-learn"
Wed Jun 12 15:37:20 2024 rev:31 rq:1180116 version:1.5.0
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2024-05-07 18:02:16.196033305 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.19518/python-scikit-learn.changes
2024-06-12 15:37:52.197132122 +0200
@@ -1,0 +2,44 @@
+Tue Jun 11 12:12:02 UTC 2024 - Daniel Garcia
+
+- Update to 1.5.0 (bsc#1226185, CVE-2024-5206):
+ ## Security
+ * Fix feature_extraction.text.CountVectorizer and
+feature_extraction.text.TfidfVectorizer no longer store discarded
+tokens from the training set in their stop_words_ attribute. This
+attribute would hold too frequent (above max_df) but also too rare
+tokens (below min_df). This fixes a potential security issue (data
+leak) if the discarded rare tokens hold sensitive information from
+the training set without the model developerâs knowledge.
+ ## Changed models
+ * Efficiency The subsampling in preprocessing.QuantileTransformer is
+now more efficient for dense arrays but the fitted quantiles and
+the results of transform may be slightly different than before
+(keeping the same statistical properties). #27344 by Xuefeng Xu.
+ * Enhancement decomposition.PCA, decomposition.SparsePCA and
+decomposition.TruncatedSVD now set the sign of the components_
+attribute based on the component values instead of using the
+transformed data as reference. This change is needed to be able to
+offer consistent component signs across all PCA solvers, including
+the new svd_solver="covariance_eigh" option introduced in this
+release.
+ ## Changes impacting many modules
+ * Fix Raise ValueError with an informative error message when
+passing 1D sparse arrays to methods that expect 2D sparse inputs.
+#28988 by Olivier Grisel.
+ * API Change The name of the input of the inverse_transform method
+of estimators has been standardized to X. As a consequence, Xt is
+deprecated and will be removed in version 1.7 in the following
+estimators: cluster.FeatureAgglomeration,
+decomposition.MiniBatchNMF, decomposition.NMF,
+model_selection.GridSearchCV, model_selection.RandomizedSearchCV,
+pipeline.Pipeline and preprocessing.KBinsDiscretizer. #28756 by
+Will Dean.
+ ## Support for Array API
+ * sklearn.metrics.r2_score now supports Array API compliant inputs.
+#27904 by Eric Lindgren, Franck Charras, Olivier Grisel and Tim
+Head.
+ * linear_model.Ridge now supports the Array API for the svd solver.
+See Array API support (experimental) for more details. #27800 by
+Franck Charras, Olivier Grisel and Tim Head.
+
+---
Old:
scikit-learn-1.4.2.tar.gz
New:
scikit_learn-1.5.0.tar.gz
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.IfTtjc/_old 2024-06-12 15:37:54.749225573 +0200
+++ /var/tmp/diff_new_pack.IfTtjc/_new 2024-06-12 15:37:54.753225719 +0200
@@ -45,15 +45,16 @@
%bcond_with pytestcolor
Name: python-scikit-learn%{psuffix}
-Version:1.4.2
+Version:1.5.0
Release:0
Summary:Python modules for machine learning and data mining
License:BSD-3-Clause
URL:https://scikit-learn.org/
-Source0:
https://files.pythonhosted.org/packages/source/s/scikit-learn/scikit-learn-%{version}.tar.gz
-BuildRequires: %{python_module Cython >= 3.0.8}
+Source0:
https://files.pythonhosted.org/packages/source/s/scikit-learn/scikit_learn-%{version}.tar.gz
+BuildRequires: %{python_module Cython >= 3.0.10}
BuildRequires: %{python_module devel >= 3.8}
BuildRequires: %{python_module joblib >= 1.2.0}
+BuildRequires: %{python_module meson-python}
BuildRequires: %{python_module numpy-devel >= 1.19.5}
BuildRequires: %{python_module pip}
BuildRequires: %{python_module scipy >= 1.6.0}
@@ -61,8 +62,14 @@
BuildRequires: %{python_module threadpoolctl >= 2.0.0}
BuildRequires: %{python_module wheel}
BuildRequires: fdupes
+# Default gcc in leap is gcc 7
+%if 0%{?suse_version} == 1500 && 0%{?sle_version} <= 150600
+BuildRequires: gcc8-c++
+BuildRequires: gcc8-fortran
+%else
BuildRequires: gcc-c++
BuildRequires: gcc-fortran
+%endif
BuildRequires: openblas-devel
BuildRequires: python-rpm-macros
# Check sklearn/_min
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2024-05-07 18:02:10
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.1880 (New)
Package is "python-scikit-learn"
Tue May 7 18:02:10 2024 rev:30 rq:1172097 version:1.4.2
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2024-04-23 18:54:54.567948168 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.1880/python-scikit-learn.changes
2024-05-07 18:02:16.196033305 +0200
@@ -1,0 +2,5 @@
+Sun May 5 14:49:09 UTC 2024 - Ben Greiner
+
+- Unlock numpy 2 (but don't force it for build)
+
+---
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.gZryhQ/_old 2024-05-07 18:02:16.892058614 +0200
+++ /var/tmp/diff_new_pack.gZryhQ/_new 2024-05-07 18:02:16.892058614 +0200
@@ -24,9 +24,6 @@
%else
%define psuffix -%{flavor}
%bcond_without test
-%if "%{flavor}" != "test-py39"
-%define skip_python39 1
-%endif
%if "%{flavor}" != "test-py310"
%define skip_python310 1
%endif
@@ -36,8 +33,8 @@
%if "%{flavor}" != "test-py312"
%define skip_python312 1
%endif
-# Skip all empty test flavors: The obs server-side interpreter cannot use lua
or rpm shrink, last one is for sle15_python_module_pythons
-%if "%pythons" == "" || "%pythons" == " " || "%pythons" == " " || "%pythons"
== " " || "%pythons" == "" || ( "%pythons" == "python311" &&
0%{?skip_python311} )
+# Skip empty buildsets, last one is for sle15_python_module_pythons
+%if "%{shrink:%{pythons}}" == "" || ("%pythons" == "python311" &&
0%{?skip_python311})
ExclusiveArch: donotbuild
%define python_module()
%flavor-not-enabled-in-buildset-for-suse-%{?suse_version}
%endif
@@ -57,7 +54,7 @@
BuildRequires: %{python_module Cython >= 3.0.8}
BuildRequires: %{python_module devel >= 3.8}
BuildRequires: %{python_module joblib >= 1.2.0}
-BuildRequires: %{python_module numpy-devel >= 1.17.3 with %python-numpy-devel
< 2}
+BuildRequires: %{python_module numpy-devel >= 1.19.5}
BuildRequires: %{python_module pip}
BuildRequires: %{python_module scipy >= 1.6.0}
BuildRequires: %{python_module setuptools}
@@ -70,9 +67,9 @@
BuildRequires: python-rpm-macros
# Check sklearn/_min_dependencies.py for dependencies
Requires: python-joblib >= 1.2.0
+Requires: python-numpy >= 1.19.5
Requires: python-scipy >= 1.6.0
Requires: python-threadpoolctl >= 2.0.0
-Requires: (python-numpy >= 1.19.5 with python-numpy < 2)
Suggests: python-matplotlib >= 3.3.4
Suggests: python-pandas
Suggests: python-seaborn
++ _multibuild ++
--- /var/tmp/diff_new_pack.gZryhQ/_old 2024-05-07 18:02:16.924059777 +0200
+++ /var/tmp/diff_new_pack.gZryhQ/_new 2024-05-07 18:02:16.924059777 +0200
@@ -1,5 +1,4 @@
- test-py39
test-py310
test-py311
test-py312
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2024-04-23 18:54:51
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.27645 (New)
Package is "python-scikit-learn"
Tue Apr 23 18:54:51 2024 rev:29 rq:1169326 version:1.4.2
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2024-02-23 16:40:19.972469699 +0100
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.27645/python-scikit-learn.changes
2024-04-23 18:54:54.567948168 +0200
@@ -1,0 +2,6 @@
+Mon Apr 15 09:06:05 UTC 2024 - Dirk Müller
+
+- update to 1.4.2:
+ * This release only includes support for numpy 2.
+
+---
Old:
scikit-learn-1.4.1.post1.tar.gz
New:
scikit-learn-1.4.2.tar.gz
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.x8sNTG/_old 2024-04-23 18:54:55.667987786 +0200
+++ /var/tmp/diff_new_pack.x8sNTG/_new 2024-04-23 18:54:55.671987930 +0200
@@ -48,7 +48,7 @@
%bcond_with pytestcolor
Name: python-scikit-learn%{psuffix}
-Version:1.4.1.post1
+Version:1.4.2
Release:0
Summary:Python modules for machine learning and data mining
License:BSD-3-Clause
++ scikit-learn-1.4.1.post1.tar.gz -> scikit-learn-1.4.2.tar.gz ++
/work/SRC/openSUSE:Factory/python-scikit-learn/scikit-learn-1.4.1.post1.tar.gz
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.27645/scikit-learn-1.4.2.tar.gz
differ: char 5, line 1
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2023-11-08 22:16:36
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.17445 (New)
Package is "python-scikit-learn"
Wed Nov 8 22:16:36 2023 rev:27 rq:1124107 version:1.3.2
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2023-08-14 22:35:15.716226229 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.17445/python-scikit-learn.changes
2023-11-08 22:16:40.640857560 +0100
@@ -1,0 +2,25 @@
+Tue Nov 7 20:38:08 UTC 2023 - Dirk Müller
+
+- update to 1.3.2:
+ * All dataset fetchers now accept `data_home` as any object that
+implements the :class:`os.PathLike` interface, for instance,
+:class:`pathlib.Path`.
+ * Fixes a bug in :class:`decomposition.KernelPCA` by forcing the
+output of the internal :class:`preprocessing.KernelCenterer` to
+be a default array. When the arpack solver is used, it expects
+an array with a `dtype` attribute.
+ * Fixes a bug for metrics using `zero_division=np.nan`
+(e.g. :func:`~metrics.precision_score`) within a paralell loop
+(e.g. :func:`~model_selection.cross_val_score`) where the
+singleton for `np.nan` will be different in the sub-processes.
+ * Do not leak data via non-initialized memory in decision tree
+pickle files and make the generation of those files
+deterministic.
+ * Ridge models with `solver='sparse_cg'` may have slightly
+different results with scipy>=1.12, because of an underlying
+change in the scipy solver
+ * The `set_output` API correctly works with list input.
+ * :class:`calibration.CalibratedClassifierCV` can now handle
+models that produce large prediction scores.
+
+---
Old:
scikit-learn-1.3.0.tar.gz
New:
scikit-learn-1.3.2.tar.gz
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.MV4fSB/_old 2023-11-08 22:16:42.808937208 +0100
+++ /var/tmp/diff_new_pack.MV4fSB/_new 2023-11-08 22:16:42.820937649 +0100
@@ -44,7 +44,7 @@
%bcond_with pytestcolor
%{?sle15_python_module_pythons}
Name: python-scikit-learn%{psuffix}
-Version:1.3.0
+Version:1.3.2
Release:0
Summary:Python modules for machine learning and data mining
License:BSD-3-Clause
++ scikit-learn-1.3.0.tar.gz -> scikit-learn-1.3.2.tar.gz ++
/work/SRC/openSUSE:Factory/python-scikit-learn/scikit-learn-1.3.0.tar.gz
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.17445/scikit-learn-1.3.2.tar.gz
differ: char 5, line 1
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc Hello community, here is the log from the commit of package python-scikit-learn for openSUSE:Factory checked in at 2023-08-14 22:35:03 Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old) and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.11712 (New) Package is "python-scikit-learn" Mon Aug 14 22:35:03 2023 rev:26 rq:1103058 version:1.3.0 Changes: --- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes 2023-08-06 16:29:22.351624982 +0200 +++ /work/SRC/openSUSE:Factory/.python-scikit-learn.new.11712/python-scikit-learn.changes 2023-08-14 22:35:15.716226229 +0200 @@ -1,0 +2,5 @@ +Wed Aug 9 01:43:32 UTC 2023 - Steve Kowalik + +- Skip another recalcitrant test on 32 bit. + +--- Other differences: -- ++ python-scikit-learn.spec ++ --- /var/tmp/diff_new_pack.qo2ZZh/_old 2023-08-14 22:35:16.420230705 +0200 +++ /var/tmp/diff_new_pack.qo2ZZh/_new 2023-08-14 22:35:16.424230730 +0200 @@ -127,6 +127,7 @@ # https://github.com/scikit-learn/scikit-learn/issues/19230 NO_TESTS+=" or test_convergence_dtype_consistency" NO_TESTS+=" or test_imputation_missing_value_in_test_array" +NO_TESTS+=" or test_graphviz_toy" %endif %pytest_arch -v --pyargs sklearn -n auto -k "not ($NO_TESTS)" popd
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2023-08-06 16:29:19
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.22712 (New)
Package is "python-scikit-learn"
Sun Aug 6 16:29:19 2023 rev:25 rq:1101760 version:1.3.0
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2023-07-27 16:50:00.349542158 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.22712/python-scikit-learn.changes
2023-08-06 16:29:22.351624982 +0200
@@ -1,0 +2,5 @@
+Tue Aug 1 14:07:31 UTC 2023 - Markéta Machová
+
+- Python flavors shifted again, drop test-py38, add test-py311
+
+---
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.tM7t1Z/_old 2023-08-06 16:29:22.959628877 +0200
+++ /var/tmp/diff_new_pack.tM7t1Z/_new 2023-08-06 16:29:22.967628928 +0200
@@ -17,22 +17,22 @@
%global flavor @BUILD_FLAVOR@%{nil}
-%if "%{flavor}" == "test-py38"
-%define psuffix -test-py38
-%define skip_python39 1
-%define skip_python310 1
-%bcond_without test
-%endif
%if "%{flavor}" == "test-py39"
%define psuffix -test-py39
-%define skip_python38 1
%define skip_python310 1
+%define skip_python311 1
%bcond_without test
%endif
%if "%{flavor}" == "test-py310"
%define psuffix -test-py310
-%define skip_python38 1
%define skip_python39 1
+%define skip_python311 1
+%bcond_without test
+%endif
+%if "%{flavor}" == "test-py311"
+%define psuffix -test-py311
+%define skip_python39 1
+%define skip_python310 1
%bcond_without test
%endif
%if "%{flavor}" == ""
++ _multibuild ++
--- /var/tmp/diff_new_pack.tM7t1Z/_old 2023-08-06 16:29:22.995629108 +0200
+++ /var/tmp/diff_new_pack.tM7t1Z/_new 2023-08-06 16:29:22.999629133 +0200
@@ -1,6 +1,6 @@
- test-py38
test-py39
test-py310
+ test-py311
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2023-07-27 16:49:49
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.32662 (New)
Package is "python-scikit-learn"
Thu Jul 27 16:49:49 2023 rev:24 rq:1100745 version:1.3.0
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2023-06-12 15:24:48.414468245 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.32662/python-scikit-learn.changes
2023-07-27 16:50:00.349542158 +0200
@@ -1,0 +2,24 @@
+Tue Jul 25 08:39:12 UTC 2023 - Markéta Machová
+
+- Update to 1.3.0
+ * We are in the process of introducing a new way to route metadata
+such as sample_weight throughout the codebase, which would
+affect how meta-estimators such as pipeline.Pipeline and
+model_selection.GridSearchCV route metadata.
+ * Originally hosted in the scikit-learn-contrib repository,
+cluster.HDBSCAN has been adopted into scikit-learn.
+ * A new category encoding strategy preprocessing.TargetEncoder
+encodes the categories based on a shrunk estimate of the average
+target values for observations belonging to that category.
+ * The classes tree.DecisionTreeClassifier and tree.DecisionTreeRegressor
+now support missing values.
+ * model_selection.ValidationCurveDisplay is now available to plot
+results from model_selection.validation_curve
+ * The class ensemble.HistGradientBoostingRegressor supports the
+Gamma deviance loss function via loss="gamma".
+ * Similarly to preprocessing.OneHotEncoder, the class
preprocessing.OrdinalEncoder
+now supports aggregating infrequent categories into a single
+output for each feature.
+ * More changes, see https://scikit-learn.org/stable/whats_new/v1.3.html
+
+---
Old:
scikit-learn-1.2.1.tar.gz
New:
scikit-learn-1.3.0.tar.gz
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.5LiLn0/_old 2023-07-27 16:50:01.293547492 +0200
+++ /var/tmp/diff_new_pack.5LiLn0/_new 2023-07-27 16:50:01.297547514 +0200
@@ -44,7 +44,7 @@
%bcond_with pytestcolor
%{?sle15_python_module_pythons}
Name: python-scikit-learn%{psuffix}
-Version:1.2.1
+Version:1.3.0
Release:0
Summary:Python modules for machine learning and data mining
License:BSD-3-Clause
++ scikit-learn-1.2.1.tar.gz -> scikit-learn-1.3.0.tar.gz ++
/work/SRC/openSUSE:Factory/python-scikit-learn/scikit-learn-1.2.1.tar.gz
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.32662/scikit-learn-1.3.0.tar.gz
differ: char 5, line 1
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2023-06-12 15:24:30
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.15902 (New)
Package is "python-scikit-learn"
Mon Jun 12 15:24:30 2023 rev:23 rq:1092217 version:1.2.1
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2023-02-13 16:41:28.867568936 +0100
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.15902/python-scikit-learn.changes
2023-06-12 15:24:48.414468245 +0200
@@ -1,0 +2,5 @@
+Sat Jun 10 17:37:09 UTC 2023 - ecsos
+
+- Add %{?sle15_python_module_pythons}
+
+---
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.boEHzS/_old 2023-06-12 15:24:49.218473001 +0200
+++ /var/tmp/diff_new_pack.boEHzS/_new 2023-06-12 15:24:49.226473049 +0200
@@ -42,6 +42,7 @@
%bcond_with extratest
# enable pytest color output for local debugging: osc --with pytestcolor
%bcond_with pytestcolor
+%{?sle15_python_module_pythons}
Name: python-scikit-learn%{psuffix}
Version:1.2.1
Release:0
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc Hello community, here is the log from the commit of package python-scikit-learn for openSUSE:Factory checked in at 2023-02-13 16:39:22 Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old) and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.1848 (New) Package is "python-scikit-learn" Mon Feb 13 16:39:22 2023 rev:22 rq:1064381 version:1.2.1 Changes: --- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes 2023-01-18 13:08:16.735948485 +0100 +++ /work/SRC/openSUSE:Factory/.python-scikit-learn.new.1848/python-scikit-learn.changes 2023-02-13 16:41:28.867568936 +0100 @@ -1,0 +2,110 @@ +Wed Feb 8 18:34:17 UTC 2023 - Arun Persaud + +- update to version 1.2.1: + * Changed models ++ The following estimators and functions, when fit with the same + data and parameters, may produce different models from the + previous version. This often occurs due to changes in the + modelling logic (bug fixes or enhancements), or in random + sampling procedures. ++ Fix The fitted components in MiniBatchDictionaryLearning might + differ. The online updates of the sufficient statistics now + properly take the sizes of the batches into account. #25354 by + Jérémie du Boisberranger. ++ Fix The categories_ attribute of preprocessing.OneHotEncoder now + always contains an array of object`s when using predefined + categories that are strings. Predefined categories encoded as + bytes will no longer work with `X encoded as strings. #25174 by + Tim Head. + * Changes impacting all modules ++ Fix Support pandas.Int64 dtyped y for classifiers and + regressors. #25089 by Tim Head. ++ Fix Remove spurious warnings for estimators internally using + neighbors search methods. #25129 by Julien Jerphanion. ++ Fix Fix a bug where the current configuration was ignored in + estimators using n_jobs > 1. This bug was triggered for tasks + dispatched by the auxillary thread of joblib as + sklearn.get_config used to access an empty thread local + configuration instead of the configuration visible from the + thread where joblib.Parallel was first called. #25363 by + Guillaume Lemaitre. + * Changelog +o sklearn.base ++ Fix Fix a regression in BaseEstimator.__getstate__ that would + prevent certain estimators to be pickled when using Python + 3.11. #25188 by Benjamin Bossan. ++ Fix Inheriting from base.TransformerMixin will only wrap the + transform method if the class defines transform itself. #25295 + by Thomas Fan. + +o sklearn.datasets ++ Fix Fix an inconsistency in datasets.fetch_openml between + liac-arff and pandas parser when a leading space is introduced + after the delimiter. The ARFF specs requires to ignore the + leading space. #25312 by Guillaume Lemaitre. + +o sklearn.decomposition ++ Fix Fixed a bug in decomposition.MiniBatchDictionaryLearning + where the online updates of the sufficient statistics where not + correct when calling partial_fit on batches of different + sizes. #25354 by Jérémie du Boisberranger. ++ Fix decomposition.DictionaryLearning better supports readonly + NumPy arrays. In particular, it better supports large datasets + which are memory-mapped when it is used with coordinate descent + algorithms (i.e. when fit_algorithm='cd'). #25172 by Julien + Jerphanion. + +o sklearn.ensemble ++ Fix ensemble.RandomForestClassifier, + ensemble.RandomForestRegressor ensemble.ExtraTreesClassifier and + ensemble.ExtraTreesRegressor now support sparse readonly + datasets. #25341 by Julien Jerphanion ++ sklearn.feature_extraction ++ Fix feature_extraction.FeatureHasher raises an informative error + when the input is a list of strings. #25094 by Thomas Fan. + +o sklearn.linear_model ++ Fix Fix a regression in linear_model.SGDClassifier and + linear_model.SGDRegressor that makes them unusable with the + verbose parameter set to a value greater than 0. #25250 by + Jérémie Du Boisberranger. + +o sklearn.manifold ++ Fix manifold.TSNE now works correctly when output type is set to + pandas #25370 by Tim Head. + +o sklearn.model_selection ++ Fix model_selection.cross_validate with multimetric scoring in + case of some failing scorers the non-failing scorers now returns + proper scores instead of error_score values. #23101 by András + Simon and Thomas Fan. + +o sklearn.neural_network ++ Fix neural_network.MLPClassifier and neural_network.MLPRegressor + no longer raise warnings when fitting data with feature + names. #24873 by Tim Head. + +o sklearn.preprocessing +
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2023-01-18 13:08:12
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.32243 (New)
Package is "python-scikit-learn"
Wed Jan 18 13:08:12 2023 rev:21 rq:1058774 version:1.2.0
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2022-10-29 20:17:06.050208776 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.32243/python-scikit-learn.changes
2023-01-18 13:08:16.735948485 +0100
@@ -1,0 +2,14 @@
+Sun Jan 15 13:04:19 UTC 2023 - Ben Greiner
+
+- Update to version 1.2.0
+ * Pandas output with set_output API
+ * Interaction constraints in Histogram-based Gradient Boosting
+Trees
+ * New and enhanced displays
+ * Faster parser in fetch_openml
+ * Experimental Array API support in LinearDiscriminantAnalysis
+ * Improved efficiency of many estimators
+- Drop sklearn-pr24283-gradient-segfault.patch
+- PEP517 build
+
+---
Old:
scikit-learn-1.1.3.tar.gz
sklearn-pr24283-gradient-segfault.patch
New:
scikit-learn-1.2.0.tar.gz
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.qTNXIl/_old 2023-01-18 13:08:17.439952261 +0100
+++ /var/tmp/diff_new_pack.qTNXIl/_new 2023-01-18 13:08:17.443952282 +0100
@@ -1,7 +1,7 @@
#
# spec file
#
-# Copyright (c) 2022 SUSE LLC
+# Copyright (c) 2023 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
@@ -43,21 +43,21 @@
# enable pytest color output for local debugging: osc --with pytestcolor
%bcond_with pytestcolor
Name: python-scikit-learn%{psuffix}
-Version:1.1.3
+Version:1.2.0
Release:0
Summary:Python modules for machine learning and data mining
License:BSD-3-Clause
URL:https://scikit-learn.org/
Source0:
https://files.pythonhosted.org/packages/source/s/scikit-learn/scikit-learn-%{version}.tar.gz
-# PATCH-FIX-UPSTREAM sklearn-pr24283-gradient-segfault.patch
gh#scikit-learn/scikit-learn#24283
-Patch0: sklearn-pr24283-gradient-segfault.patch
BuildRequires: %{python_module Cython >= 0.29.24}
BuildRequires: %{python_module devel >= 3.8}
-BuildRequires: %{python_module joblib >= 1.0.0}
+BuildRequires: %{python_module joblib >= 1.1.1}
BuildRequires: %{python_module numpy-devel >= 1.17.3}
+BuildRequires: %{python_module pip}
BuildRequires: %{python_module scipy >= 1.3.2}
BuildRequires: %{python_module setuptools}
BuildRequires: %{python_module threadpoolctl >= 2.0.0}
+BuildRequires: %{python_module wheel}
BuildRequires: fdupes
BuildRequires: gcc-c++
BuildRequires: gcc-fortran
@@ -69,7 +69,7 @@
Requires: python-scipy >= 1.3.2
Requires: python-threadpoolctl >= 2.0.0
Requires: python-xml
-Suggests: python-matplotlib
+Suggests: python-matplotlib >= 3.1.3
Suggests: python-pandas
Suggests: python-seaborn
Provides: python-sklearn = %{version}-%{release}
@@ -78,12 +78,12 @@
%endif
# SECTION test requirements
%if %{with test}
-BuildRequires: %{python_module pytest >= 5.0.1}
+BuildRequires: %{python_module pytest >= 5.3.1}
BuildRequires: %{python_module pytest-rerunfailures}
BuildRequires: %{python_module pytest-xdist}
BuildRequires: %{python_module scikit-learn = %{version}}
%if %{with extratest}
-BuildRequires: %{python_module matplotlib >= 3.1.2}
+BuildRequires: %{python_module matplotlib >= 3.1.3}
BuildRequires: %{python_module pandas >= 1.0.5}
BuildRequires: %{python_module scikit-image >= 0.16.2}
%endif
@@ -105,12 +105,12 @@
%build
%if !%{with test}
export CFLAGS="%{optflags}"
-%python_build
+%pyproject_wheel
%endif
%install
%if !%{with test}
-%python_install
+%pyproject_install
%python_expand %fdupes %{buildroot}%{$python_sitearch}
%endif
@@ -119,7 +119,8 @@
mkdir test_dir
pushd test_dir
export SKLEARN_SKIP_NETWORK_TESTS=1
-NO_TESTS="dummyprefix"
+# fails with scipy 1.10 gh#scikit-learn/scikit-learn#25403
+NO_TESTS="test_spectral_embedding_two_components"
%ifarch %{ix86} %{arm}
# Precision-related errors on 32 bit
# https://github.com/scikit-learn/scikit-learn/issues/19230
@@ -135,7 +136,7 @@
%license COPYING
%doc README.rst
%{python_sitearch}/sklearn/
-%{python_sitearch}/scikit_learn-%{version}*-info
+%{python_sitearch}/scikit_learn-%{version}.dist-info
%endif
%changelog
++ scikit-learn-1.1.3.tar.gz -> scikit-learn-1.2.0.tar.gz
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2022-10-29 20:16:04
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.2275 (New)
Package is "python-scikit-learn"
Sat Oct 29 20:16:04 2022 rev:20 rq:1032043 version:1.1.3
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2022-10-27 13:53:23.116326617 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.2275/python-scikit-learn.changes
2022-10-29 20:17:06.050208776 +0200
@@ -1,0 +2,8 @@
+Thu Oct 27 18:40:17 UTC 2022 - Ben Greiner
+
+- Update to version 1.1.3
+ * This bugfix release only includes fixes for compatibility with
+the latest SciPy release >= 1.9.2.
+- Update sklearn-pr24283-gradient-segfault.patch
+
+---
Old:
scikit-learn-1.1.2.tar.gz
New:
scikit-learn-1.1.3.tar.gz
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.I25QIz/_old 2022-10-29 20:17:06.838212975 +0200
+++ /var/tmp/diff_new_pack.I25QIz/_new 2022-10-29 20:17:06.846213017 +0200
@@ -43,7 +43,7 @@
# enable pytest color output for local debugging: osc --with pytestcolor
%bcond_with pytestcolor
Name: python-scikit-learn%{psuffix}
-Version:1.1.2
+Version:1.1.3
Release:0
Summary:Python modules for machine learning and data mining
License:BSD-3-Clause
@@ -104,6 +104,7 @@
%build
%if !%{with test}
+export CFLAGS="%{optflags}"
%python_build
%endif
++ scikit-learn-1.1.2.tar.gz -> scikit-learn-1.1.3.tar.gz ++
/work/SRC/openSUSE:Factory/python-scikit-learn/scikit-learn-1.1.2.tar.gz
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.2275/scikit-learn-1.1.3.tar.gz
differ: char 5, line 1
++ sklearn-pr24283-gradient-segfault.patch ++
--- /var/tmp/diff_new_pack.I25QIz/_old 2022-10-29 20:17:06.930213465 +0200
+++ /var/tmp/diff_new_pack.I25QIz/_new 2022-10-29 20:17:06.934213486 +0200
@@ -23,58 +23,4 @@
data_val,
node.bitset_idx):
Index:
scikit-learn-1.1.2/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py
-===
scikit-learn-1.1.2.orig/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py
-+++
scikit-learn-1.1.2/sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py
-@@ -1159,3 +1159,28 @@ def test_no_user_warning_with_scoring():
- with warnings.catch_warnings():
- warnings.simplefilter("error", UserWarning)
- est.fit(X_df, y)
-+
-+
-+def test_unknown_category_that_are_negative():
-+"""Check that unknown categories that are negative does not error.
-+
-+Non-regression test for #24274.
-+"""
-+rng = np.random.RandomState(42)
-+n_samples = 1000
-+X = np.c_[rng.rand(n_samples), rng.randint(4, size=n_samples)]
-+y = np.zeros(shape=n_samples)
-+y[X[:, 1] % 2 == 0] = 1
-+
-+hist = HistGradientBoostingRegressor(
-+random_state=0,
-+categorical_features=[False, True],
-+max_iter=10,
-+).fit(X, y)
-+
-+# Check that negative values from the second column are treated like a
-+# missing category
-+X_test_neg = np.asarray([[1, -2], [3, -4]])
-+X_test_nan = np.asarray([[1, np.nan], [3, np.nan]])
-+
-+assert_allclose(hist.predict(X_test_neg), hist.predict(X_test_nan))
-Index:
scikit-learn-1.1.2/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py
-===
scikit-learn-1.1.2.orig/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py
-+++
scikit-learn-1.1.2/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py
-@@ -1186,6 +1186,8 @@ class HistGradientBoostingRegressor(Regr
-
- For each categorical feature, there must be at most `max_bins` unique
- categories, and each categorical value must be in [0, max_bins -1].
-+During prediction, categories encoded as a negative value are treated
as
-+missing values.
-
- Read more in the :ref:`User Guide `.
-
-@@ -1515,6 +1517,8 @@ class HistGradientBoostingClassifier(Cla
-
- For each categorical feature, there must be at most `max_bins` unique
- categories, and each categorical value must be in [0, max_bins -1].
-+During prediction, categories encoded as a negative value are treated
as
-+missing values.
-
- Read more in the :ref:`User Guide `.
-
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2022-10-27 13:53:08
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.2275 (New)
Package is "python-scikit-learn"
Thu Oct 27 13:53:08 2022 rev:19 rq:1030924 version:1.1.2
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2022-09-17 20:08:13.760791552 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.2275/python-scikit-learn.changes
2022-10-27 13:53:23.116326617 +0200
@@ -1,0 +2,8 @@
+Tue Oct 11 13:10:22 UTC 2022 - Ben Greiner
+
+- Update dependencies
+- Add sklearn-pr24283-gradient-segfault.patch
+ * gh#scikit-learn/scikit-learn#24283
+- Update test suite setup.
+
+---
New:
sklearn-pr24283-gradient-segfault.patch
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.95fVps/_old 2022-10-27 13:53:23.736329780 +0200
+++ /var/tmp/diff_new_pack.95fVps/_new 2022-10-27 13:53:23.748329841 +0200
@@ -16,8 +16,6 @@
#
-%{?!python_module:%define python_module() python3-%{**}}
-%define skip_python2 1
%global flavor @BUILD_FLAVOR@%{nil}
%if "%{flavor}" == "test-py38"
%define psuffix -test-py38
@@ -42,6 +40,8 @@
%bcond_with test
%endif
%bcond_with extratest
+# enable pytest color output for local debugging: osc --with pytestcolor
+%bcond_with pytestcolor
Name: python-scikit-learn%{psuffix}
Version:1.1.2
Release:0
@@ -49,20 +49,22 @@
License:BSD-3-Clause
URL:https://scikit-learn.org/
Source0:
https://files.pythonhosted.org/packages/source/s/scikit-learn/scikit-learn-%{version}.tar.gz
-BuildRequires: %{python_module Cython >= 0.28.5}
-BuildRequires: %{python_module devel}
-BuildRequires: %{python_module joblib >= 0.11}
+# PATCH-FIX-UPSTREAM sklearn-pr24283-gradient-segfault.patch
gh#scikit-learn/scikit-learn#24283
+Patch0: sklearn-pr24283-gradient-segfault.patch
+BuildRequires: %{python_module Cython >= 0.29.24}
+BuildRequires: %{python_module devel >= 3.8}
+BuildRequires: %{python_module joblib >= 1.0.0}
BuildRequires: %{python_module numpy-devel >= 1.17.3}
BuildRequires: %{python_module scipy >= 1.3.2}
BuildRequires: %{python_module setuptools}
BuildRequires: %{python_module threadpoolctl >= 2.0.0}
-BuildRequires: %{python_module xml}
BuildRequires: fdupes
BuildRequires: gcc-c++
BuildRequires: gcc-fortran
BuildRequires: openblas-devel
BuildRequires: python-rpm-macros
-Requires: python-joblib >= 0.11
+# Check sklearn/_min_dependencies.py for dependencies
+Requires: python-joblib >= 1.0.0
Requires: python-numpy >= 1.17.3
Requires: python-scipy >= 1.3.2
Requires: python-threadpoolctl >= 2.0.0
@@ -70,18 +72,20 @@
Suggests: python-matplotlib
Suggests: python-pandas
Suggests: python-seaborn
-Provides: python-sklearn
+Provides: python-sklearn = %{version}-%{release}
%if "%{python_flavor}" == "python3" || "%{?python_provides}" == "python3"
-Provides: sklearn
+Provides: sklearn = %{version}-%{release}
%endif
# SECTION test requirements
%if %{with test}
-BuildRequires: %{python_module pytest >= 4.0}
-BuildRequires: %{python_module scikit-learn}
+BuildRequires: %{python_module pytest >= 5.0.1}
+BuildRequires: %{python_module pytest-rerunfailures}
+BuildRequires: %{python_module pytest-xdist}
+BuildRequires: %{python_module scikit-learn = %{version}}
%if %{with extratest}
BuildRequires: %{python_module matplotlib >= 3.1.2}
-BuildRequires: %{python_module pandas >= 0.25.0}
-BuildRequires: %{python_module scikit-image >= 0.13}
+BuildRequires: %{python_module pandas >= 1.0.5}
+BuildRequires: %{python_module scikit-image >= 0.16.2}
%endif
%endif
# /SECTION
@@ -93,8 +97,10 @@
%prep
%autosetup -p1 -n scikit-learn-%{version}
-
rm -rf sklearn/.pytest_cache
+%if !%{with pytestcolor}
+sed -i '/--color=yes/d' setup.cfg
+%endif
%build
%if !%{with test}
@@ -108,30 +114,20 @@
%endif
%if %{with test}
-# Precision-related errors on non-x86 platforms
-%ifarch %{ix86} x86_64
%check
+mkdir test_dir
+pushd test_dir
export SKLEARN_SKIP_NETWORK_TESTS=1
-NO_TESTS="test_feature_importance_regression or
test_minibatch_with_many_reassignments"
-NO_TESTS+=" or test_sparse_coder_parallel_mmap or test_explained_variances"
-# test_negative_sample_weights_mask_all_samples[weights-are-zero-NuSVC] Fatal
Python error: Aborted
-NO_TESTS+=" or test_negative_sample_weights_mask_all_samples"
-# Disable test_fe
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2022-09-17 20:08:10
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.2083 (New)
Package is "python-scikit-learn"
Sat Sep 17 20:08:10 2022 rev:18 rq:1002744 version:1.1.2
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2022-06-01 17:34:22.878720900 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.2083/python-scikit-learn.changes
2022-09-17 20:08:13.760791552 +0200
@@ -1,0 +2,53 @@
+Sat Sep 10 13:32:25 UTC 2022 - Arun Persaud
+
+- update to version 1.1.2:
+ * Changes
++ Fix A default HTML representation is shown for meta-estimators
+ with invalid parameters. #24015 by Thomas Fan.
++ Fix Add support for F-contiguous arrays for estimators and
+ functions whose back-end have been changed in 1.1. #23990 by
+ Julien Jerphanion.
++ Fix Wheels are now available for MacOS 10.9 and greater. #23833
+ by Thomas Fan.
+ * sklearn.base
++ Fix The get_params method of the BaseEstimator class now
+ supports estimators with type-type params that have the
+ get_params method. #24017 by Henry Sorsky.
+ * sklearn.cluster
++ Fix Fixed a bug in cluster.Birch that could trigger an error
+ when splitting a node if there are duplicates in the
+ dataset. #23395 by J??r??mie du Boisberranger.
+ * sklearn.feature_selection
++ Fix feature_selection.SelectFromModel defaults to selection
+ threshold 1e-5 when the estimator is either
+ linear_model.ElasticNet or linear_model.ElasticNetCV with
+ l1_ratio equals 1 or linear_model.LassoCV. #23636 by Hao Chun
+ Chang.
+ * sklearn.impute
++ Fix impute.SimpleImputer uses the dtype seen in fit for
+ transform when the dtype is object. #22063 by Thomas Fan.
+ * sklearn.linear_model
++ Fix Use dtype-aware tolerances for the validation of gram
+ matrices (passed by users or precomputed). #22059 by Malte
+ S. Kurz.
++ Fix Fixed an error in linear_model.LogisticRegression with
+ solver="newton-cg", fit_intercept=True, and a single
+ feature. #23608 by Tom Dupre la Tour.
+ * sklearn.manifold
++ Fix manifold.TSNE now throws a ValueError when fit with
+ perplexity>=n_samples to ensure mathematical correctness of the
+ algorithm. #10805 by Mathias Andersen and #23471 by Meekail
+ Zain.
+ * sklearn.metrics
++ Fix Fixed error message of metrics.coverage_error for 1D array
+ input. #23548 by Hao Chun Chang.
+ * sklearn.preprocessing
++ Fix preprocessing.OrdinalEncoder.inverse_transform correctly
+ handles use cases where unknown_value or encoded_missing_value
+ is nan. #24087 by Thomas Fan.
+ * sklearn.tree
++ Fix Fixed invalid memory access bug during fit in
+ tree.DecisionTreeRegressor and
+ tree.DecisionTreeClassifier. #23273 by Thomas Fan.
+
+---
Old:
scikit-learn-1.1.1.tar.gz
New:
scikit-learn-1.1.2.tar.gz
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.pKUPLT/_old 2022-09-17 20:08:14.900794841 +0200
+++ /var/tmp/diff_new_pack.pKUPLT/_new 2022-09-17 20:08:14.904794853 +0200
@@ -43,7 +43,7 @@
%endif
%bcond_with extratest
Name: python-scikit-learn%{psuffix}
-Version:1.1.1
+Version:1.1.2
Release:0
Summary:Python modules for machine learning and data mining
License:BSD-3-Clause
++ scikit-learn-1.1.1.tar.gz -> scikit-learn-1.1.2.tar.gz ++
/work/SRC/openSUSE:Factory/python-scikit-learn/scikit-learn-1.1.1.tar.gz
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.2083/scikit-learn-1.1.2.tar.gz
differ: char 5, line 1
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2022-06-01 17:34:09
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.1548 (New)
Package is "python-scikit-learn"
Wed Jun 1 17:34:09 2022 rev:17 rq:980051 version:1.1.1
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2022-02-03 23:16:46.340495692 +0100
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.1548/python-scikit-learn.changes
2022-06-01 17:34:22.878720900 +0200
@@ -1,0 +2,54 @@
+Tue May 31 03:09:03 UTC 2022 - Arun Persaud
+
+- specfile
+ * updated numpy, scipy, and matplotlib requirements
+
+- update to version 1.1.1:
+ * Enhancement The error message is improved when importing
+model_selection.HalvingGridSearchCV,
+model_selection.HalvingRandomSearchCV, or impute.IterativeImputer
+without importing the experimental flag. #23194 by Thomas Fan.
+ * Enhancement Added an extension in doc/conf.py to automatically
+generate the list of estimators that handle NaN values. #23198 by
+Lise Kleiber, Zhehao Liu and Chiara Marmo.
+ * sklearn.datasets
++ Fix Avoid timeouts in datasets.fetch_openml by not passing a
+ timeout argument, #23358 by Lo??c Est??ve.
+ * sklearn.decomposition
++ Fix Avoid spurious warning in decomposition.IncrementalPCA when
+ n_samples == n_components. #23264 by Lucy Liu.
+ * sklearn.feature_selection
++ Fix The partial_fit method of feature_selection.SelectFromModel
+ now conducts validation for max_features and feature_names_in
+ parameters. #23299 by Long Bao.
+ * sklearn.metrics
++ Fix Fixes metrics.precision_recall_curve to compute
+ precision-recall at 100% recall. The Precision-Recall curve now
+ displays the last point corresponding to a classifier that
+ always predicts the positive class: recall=100% and
+ precision=class balance. #23214 by St??phane Collot and Max Baak.
+ * sklearn.preprocessing
++ Fix preprocessing.PolynomialFeatures with degree equal to 0 will
+ raise error when include_bias is set to False, and outputs a
+ single constant array when include_bias is set to True. #23370
+ by Zhehao Liu.
+ * sklearn.tree
++ Fix Fixes performance regression with low cardinality features
+ for tree.DecisionTreeClassifier, tree.DecisionTreeRegressor,
+ ensemble.RandomForestClassifier, ensemble.RandomForestRegressor,
+ ensemble.GradientBoostingClassifier, and
+ ensemble.GradientBoostingRegressor. #23410 by Lo??c Est??ve.
+ * sklearn.utils
++ Fix utils.class_weight.compute_sample_weight now works with
+ sparse y. #23115 by kernc.
+
+- changes from version 1.1.0:
+long changelog, see
https://scikit-learn.org/stable/whats_new/v1.1.html#version-1-1-0
+
+---
+Mon May 30 10:40:34 UTC 2022 - Steve Kowalik
+
+- Split up to using multibuild per Python version since the test suite
+ may take a while.
+
+---
Old:
scikit-learn-1.0.2.tar.gz
New:
_multibuild
scikit-learn-1.1.1.tar.gz
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.mu7KPr/_old 2022-06-01 17:34:23.662721827 +0200
+++ /var/tmp/diff_new_pack.mu7KPr/_new 2022-06-01 17:34:23.670721836 +0200
@@ -1,5 +1,5 @@
#
-# spec file for package python-scikit-learn
+# spec file
#
# Copyright (c) 2022 SUSE LLC
#
@@ -18,9 +18,32 @@
%{?!python_module:%define python_module() python3-%{**}}
%define skip_python2 1
+%global flavor @BUILD_FLAVOR@%{nil}
+%if "%{flavor}" == "test-py38"
+%define psuffix -test-py38
+%define skip_python39 1
+%define skip_python310 1
+%bcond_without test
+%endif
+%if "%{flavor}" == "test-py39"
+%define psuffix -test-py39
+%define skip_python38 1
+%define skip_python310 1
+%bcond_without test
+%endif
+%if "%{flavor}" == "test-py310"
+%define psuffix -test-py310
+%define skip_python38 1
+%define skip_python39 1
+%bcond_without test
+%endif
+%if "%{flavor}" == ""
+%define psuffix %{nil}
+%bcond_with test
+%endif
%bcond_with extratest
-Name: python-scikit-learn
-Version:1.0.2
+Name: python-scikit-learn%{psuffix}
+Version:1.1.1
Release:0
Summary:Python modules for machine learning and data mining
License:BSD-3-Clause
@@ -29,8 +52,8 @@
BuildRequires: %{python_module Cython >= 0.28.5}
BuildRequires: %{python_module devel}
BuildRequires: %{python_module joblib >= 0.11}
-BuildRequires: %{python_mo
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc Hello community, here is the log from the commit of package python-scikit-learn for openSUSE:Factory checked in at 2022-02-03 23:16:13 Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old) and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.1898 (New) Package is "python-scikit-learn" Thu Feb 3 23:16:13 2022 rev:16 rq:950579 version:1.0.2 Changes: --- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes 2021-06-11 22:30:37.806125639 +0200 +++ /work/SRC/openSUSE:Factory/.python-scikit-learn.new.1898/python-scikit-learn.changes 2022-02-03 23:16:46.340495692 +0100 @@ -1,0 +2,31 @@ +Wed Feb 2 02:07:05 UTC 2022 - Steve Kowalik + +- Update to 1.0.2: + * Fixed an infinite loop in cluster.SpectralClustering by moving an iteration counter from try to except. #21271 by Tyler Martin. + * datasets.fetch_openml is now thread safe. Data is first downloaded to a temporary subfolder and then renamed. #21833 by Siavash Rezazadeh. + * Fixed the constraint on the objective function of decomposition.DictionaryLearning, decomposition.MiniBatchDictionaryLearning, decomposition.SparsePCA and decomposition.MiniBatchSparsePCA to be convex and match the referenced article. #19210 by J??r??mie du Boisberranger. + * ensemble.RandomForestClassifier, ensemble.RandomForestRegressor, ensemble.ExtraTreesClassifier, ensemble.ExtraTreesRegressor, and ensemble.RandomTreesEmbedding now raise a ValueError when bootstrap=False and max_samples is not None. #21295 Haoyin Xu. + * Solve a bug in ensemble.GradientBoostingClassifier where the exponential loss was computing the positive gradient instead of the negative one. #22050 by Guillaume Lemaitre. + * Fixed feature_selection.SelectFromModel by improving support for base estimators that do not set feature_names_in_. #21991 by Thomas Fan. + * Fix a bug in linear_model.RidgeClassifierCV where the method predict was performing an argmax on the scores obtained from decision_function instead of returning the multilabel indicator matrix. #19869 by Guillaume Lemaitre. + * linear_model.LassoLarsIC now correctly computes AIC and BIC. An error is now raised when n_features > n_samples and when the noise variance is not provided. #21481 by Guillaume Lemaitre and Andr??s Babino. + * Fixed an unnecessary error when fitting manifold.Isomap with a precomputed dense distance matrix where the neighbors graph has multiple disconnected components. #21915 by Tom Dupre la Tour. + * All sklearn.metrics.DistanceMetric subclasses now correctly support read-only buffer attributes. This fixes a regression introduced in 1.0.0 with respect to 0.24.2. #21694 by Julien Jerphanion. + * neighbors.KDTree and neighbors.BallTree correctly supports read-only buffer attributes. #21845 by Thomas Fan. + * Fixes compatibility bug with NumPy 1.22 in preprocessing.OneHotEncoder. #21517 by Thomas Fan. + * Prevents tree.plot_tree from drawing out of the boundary of the figure. #21917 by Thomas Fan. + * Support loading pickles of decision tree models when the pickle has been generated on a platform with a different bitness. A typical example is to train and pickle the model on 64 bit machine and load the model on a 32 bit machine for prediction. #21552 by Lo??c Est??ve. + * Non-fit methods in the following classes do not raise a UserWarning when fitted on DataFrames with valid feature names: covariance.EllipticEnvelope, ensemble.IsolationForest, ensemble.AdaBoostClassifier, neighbors.KNeighborsClassifier, neighbors.KNeighborsRegressor, neighbors.RadiusNeighborsClassifier, neighbors.RadiusNeighborsRegressor. #21199 by Thomas Fan. + * Fixed calibration.CalibratedClassifierCV to take into account sample_weight when computing the base estimator prediction when ensemble=False. #20638 by Julien Bohn??. + * Fixed a bug in calibration.CalibratedClassifierCV with method="sigmoid" that was ignoring the sample_weight when computing the the Bayesian priors. #21179 by Guillaume Lemaitre. + * Compute y_std properly with multi-target in sklearn.gaussian_process.GaussianProcessRegressor allowing proper normalization in multi-target scene. #20761 by Patrick de C. T. R. Ferreira. + * Fixed a bug in feature_extraction.CountVectorizer and feature_extraction.TfidfVectorizer by raising an error when ???min_idf??? or ???max_idf??? are floating-point numbers greater than 1. #20752 by Alek Lefebvre. + * linear_model.LogisticRegression now raises a better error message when the solver does not support sparse matrices with int64 indices. #21093 by Tom Dupre la Tour. + * neighbors.KNeighborsClassifier, neighbors.KNeighborsRegressor, neighbors.RadiusNeighborsClassifier, neighbors.RadiusNeighborsRegressor with metric="precomputed" raises an error for bsr and
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2021-02-16 22:34:07
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.28504 (New)
Package is "python-scikit-learn"
Tue Feb 16 22:34:07 2021 rev:14 rq:872043 version:0.24.1
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2021-01-27 18:57:21.820352510 +0100
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.28504/python-scikit-learn.changes
2021-02-16 22:34:08.629468651 +0100
@@ -1,0 +2,6 @@
+Sat Feb 13 19:10:14 UTC 2021 - Ben Greiner
+
+- Add scikit-learn-pr19101-npfloat.patch in order to work with
+ NumPy 1.20
+
+---
New:
scikit-learn-pr19101-npfloat.patch
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.rfZ7oa/_old 2021-02-16 22:34:09.289469556 +0100
+++ /var/tmp/diff_new_pack.rfZ7oa/_new 2021-02-16 22:34:09.293469562 +0100
@@ -18,7 +18,7 @@
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
%define skip_python2 1
-# SciPy 1.6.0 dropped Python 3.6 support, NumPy 1.20 will do, too.
+# SciPy 1.6.0 and NumPy 1.20 dropped Python 3.6 support.
%define skip_python36 1
%bcond_with extratest
Name: python-scikit-learn
@@ -28,6 +28,8 @@
License:BSD-3-Clause
URL:https://scikit-learn.org/
Source0:
https://files.pythonhosted.org/packages/source/s/scikit-learn/scikit-learn-%{version}.tar.gz
+# PATCH-FIX-UPSTREAM scikit-learn-pr19101-npfloat.patch
gh#scikit-learn/scikit-learn#19101
+Patch0:
https://github.com/scikit-learn/scikit-learn/pull/19101.patch#/scikit-learn-pr19101-npfloat.patch
BuildRequires: %{python_module Cython >= 0.28.5}
BuildRequires: %{python_module devel}
BuildRequires: %{python_module joblib >= 0.11}
++ scikit-learn-pr19101-npfloat.patch ++
>From e7ef22c3ba2334cb3b476e95d7c083cf6b48ce56 Mon Sep 17 00:00:00 2001
From: Guillaume Lemaitre
Date: Mon, 4 Jan 2021 10:57:03 +0100
Subject: [PATCH] TST explicit convert array to float that will contains np.nan
[scipy-dev]
---
sklearn/metrics/tests/test_common.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/sklearn/metrics/tests/test_common.py
b/sklearn/metrics/tests/test_common.py
index 767228d46078..181baf19de3c 100644
--- a/sklearn/metrics/tests/test_common.py
+++ b/sklearn/metrics/tests/test_common.py
@@ -198,7 +198,7 @@ def precision_recall_curve_padded_thresholds(*args,
**kwargs):
return np.array([
precision,
recall,
-np.pad(thresholds,
+np.pad(thresholds.astype(np.float64),
pad_width=(0, pad_threshholds),
mode='constant',
constant_values=[np.nan])
commit python-scikit-learn for openSUSE:Factory
Script 'mail_helper' called by obssrc Hello community, here is the log from the commit of package python-scikit-learn for openSUSE:Factory checked in at 2021-01-27 18:57:20 Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old) and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.28504 (New) Package is "python-scikit-learn" Wed Jan 27 18:57:20 2021 rev:13 rq:866156 version:0.24.1 Changes: --- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes 2020-12-21 12:35:22.854961260 +0100 +++ /work/SRC/openSUSE:Factory/.python-scikit-learn.new.28504/python-scikit-learn.changes 2021-01-27 18:57:21.820352510 +0100 @@ -1,0 +2,134 @@ +Fri Jan 22 18:54:07 UTC 2021 - Benjamin Greiner + +- Skip python36 because SciPy 1.6.0 dropped it +- optionally enable more tests with matplotlib and pandas by + --with extratests + +--- +Fri Jan 22 08:11:53 UTC 2021 - andy great + +- Skip test_convergence_dtype_consistency on 32 bit arch due to + precision-related errors on 32 bit arch. + https://github.com/scikit-learn/scikit-learn/issues/19230 +- Remove explicit dependecy python-matplotlib + +--- +Wed Jan 20 19:43:33 UTC 2021 - andy great + +- Remove assert_allclose-for-FP-comparison.patch, fixed. +- Update to version 0.24.1. + * sklearn.metrics +* Fix numerical stability bug that could happen in + metrics.adjusted_mutual_info_score and metrics.mutual_info_score + with NumPy 1.20+. + * sklearn.semi_supervised +* Fix semi_supervised.SelfTrainingClassifier is now accepting + meta-estimator (e.g. ensemble.StackingClassifier). The + validation of this estimator is done on the fitted estimator, + once we know the existence of the method predict_proba. +- Updates for version 0.24.0. + * sklearn.base +* Fix base.BaseEstimator.get_params now will raise an + AttributeError if a parameter cannot be retrieved as an + instance attribute. Previously it would return None. + * sklearn.calibration +* Efficiency calibration.CalibratedClassifierCV.fit now supports + parallelization via joblib.Parallel using argument n_jobs. +* Enhancement Allow calibration.CalibratedClassifierCV use with + prefit pipeline.Pipeline where data is not X is not array-like, + sparse matrix or dataframe at the start. #17546 by Lucy Liu. +* Enhancement Add ensemble parameter to + calibration.CalibratedClassifierCV, which enables + implementation of calibration via an ensemble of calibrators + (current method) or just one calibrator using all the data + (similar to the built-in feature of sklearn.svm estimators with + the probabilities=True parameter). + * sklearn.cluster +* Enhancement cluster.AgglomerativeClustering has a new + parameter compute_distances. When set to True, distances + between clusters are computed and stored in the distances_ + attribute even when the parameter distance_threshold is not + used. This new parameter is useful to produce dendrogram + visualizations, but introduces a computational and memory + overhead. +* Enhancement cluster.SpectralClustering and + cluster.spectral_clustering have a new keyword argument verbose. + When set to True, additional messages will be displayed which + can aid with debugging. #18052 by Sean O. Stalley. +* Enhancement Added cluster.kmeans_plusplus as public function. + Initialization by KMeans++ can now be called separately to + generate initial cluster centroids. +* API Change cluster.MiniBatchKMeans attributes, counts_ and + init_size_, are deprecated and will be removed in 1.1 + (renaming of 0.26). + * sklearn.compose +* Fix compose.ColumnTransformer will skip transformers the + column selector is a list of bools that are False. +* Fix compose.ColumnTransformer now displays the remainder in + the diagram display. #18167 by Thomas Fan. +* Fix compose.ColumnTransformer enforces strict count and order + of column names between fit and transform by raising an error + instead of a warning, following the deprecation cycle. + * sklearn.covariance +* API Change Deprecates cv_alphas_ in favor of + cv_results_['alphas'] and grid_scores_ in favor of split scores + in cv_results_ in covariance.GraphicalLassoCV. cv_alphas_ and + grid_scores_ will be removed in version 1.1 (renaming of 0.26). + * sklearn.cross_decomposition +* Fixed a bug in cross_decomposition.PLSSVD which would sometimes + return components in the reversed order of importance. +* Fixed a bug in cross_decomposition.PLSSVD, + cross_decomposition
commit python-scikit-learn for openSUSE:Factory
Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2020-12-21 12:35:20
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.5145 (New)
Package is "python-scikit-learn"
Mon Dec 21 12:35:20 2020 rev:12 rq:856853 version:0.23.2
Changes:
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2020-10-25 18:10:20.811556909 +0100
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.5145/python-scikit-learn.changes
2020-12-21 12:35:22.854961260 +0100
@@ -1,0 +2,7 @@
+Sun Dec 13 01:16:34 UTC 2020 - Benjamin Greiner
+
+- provide "sklearn" only for primary python3 flavor
+ gh#openSUSE/python-rpm-macros#66
+- clean test setup
+
+---
Other differences:
--
++ python-scikit-learn.spec ++
--- /var/tmp/diff_new_pack.KSy5ci/_old 2020-12-21 12:35:23.694963268 +0100
+++ /var/tmp/diff_new_pack.KSy5ci/_new 2020-12-21 12:35:23.698963277 +0100
@@ -46,7 +46,9 @@
Requires: python-threadpoolctl >= 2.0.0
Requires: python-xml
Provides: python-sklearn
+%if "%{python_flavor}" == "python3" || "%{?python_provides}" == "python3"
Provides: sklearn
+%endif
# SECTION test requirements
BuildRequires: %{python_module joblib}
BuildRequires: %{python_module matplotlib}
@@ -83,25 +85,20 @@
%ifarch %{ix86} x86_64
%check
export SKLEARN_SKIP_NETWORK_TESTS=1
-# export PYTHONDONTWRITEBYTECODE=1
NO_TESTS="test_feature_importance_regression or
test_minibatch_with_many_reassignments"
-NO_TESTS="$NO_TESTS or test_sparse_coder_parallel_mmap or
test_explained_variances"
+NO_TESTS+=" or test_sparse_coder_parallel_mmap or test_explained_variances"
# test_negative_sample_weights_mask_all_samples[weights-are-zero-NuSVC] Fatal
Python error: Aborted
-NO_TESTS="$NO_TESTS or test_negative_sample_weights_mask_all_samples"
-export NO_TESTS
-mv sklearn sklearn_temp
-rm -rf build _build.*
-%{python_expand export PYTHONPATH=%{buildroot}%{$python_sitearch}
-rm -rf build _build.*
-py.test-%{$python_bin_suffix} -p no:cacheprovider -v -k "not ($NO_TESTS)"
%{buildroot}%{$python_sitearch}/sklearn
-}
-mv sklearn_temp sklearn
+NO_TESTS+=" or test_negative_sample_weights_mask_all_samples"
+mkdir test_dir
+pushd test_dir
+%pytest_arch -p no:cacheprovider -v -k "not ($NO_TESTS)"
%{buildroot}%{$python_sitearch}/sklearn
+popd
%endif
%files %{python_files}
%license COPYING
%doc README.rst
%{python_sitearch}/sklearn/
-%{python_sitearch}/scikit_learn-%{version}-py*.egg-info
+%{python_sitearch}/scikit_learn-%{version}*-info
%changelog
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