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here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2023-02-13 16:39:22
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Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.1848 (New)
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Package is "python-scikit-learn"
Mon Feb 13 16:39:22 2023 rev:22 rq:1064381 version:1.2.1
Changes:
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--- /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 <[email protected]>
+
+- 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
+ + Fix preprocessing.FunctionTransformer.inverse_transform
+ correctly supports DataFrames that are all numerical when
+ check_inverse=True. #25274 by Thomas Fan.
+ + Fix preprocessing.SplineTransformer.get_feature_names_out
+ correctly returns feature names when
+ extrapolations="periodic". #25296 by Thomas Fan.
+
+ o sklearn.tree
+ + Fix tree.DecisionTreeClassifier, tree.DecisionTreeRegressor
+ tree.ExtraTreeClassifier and tree.ExtraTreeRegressor now support
+ sparse readonly datasets. #25341 by Julien Jerphanion
+
+ o sklearn.utils
+ + Fix Restore utils.check_arrayâs behaviour for pandas Series of
+ type boolean. The type is maintained, instead of converting to
+ float64. #25147 by Tim Head.
+ * API Change utils.fixes.delayed is deprecated in 1.2.1 and will be
+ removed in 1.5. Instead, import utils.parallel.delayed and use it
+ in conjunction with the newly introduced utils.parallel.Parallel
+ to ensure proper propagation of the scikit-learn configuration to
+ the workers. #25363 by Guillaume Lemaitre.
+
+-------------------------------------------------------------------
Old:
----
scikit-learn-1.2.0.tar.gz
New:
----
scikit-learn-1.2.1.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
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++++++ python-scikit-learn.spec ++++++
--- /var/tmp/diff_new_pack.Ybw6op/_old 2023-02-13 16:41:29.527573207 +0100
+++ /var/tmp/diff_new_pack.Ybw6op/_new 2023-02-13 16:41:29.531573233 +0100
@@ -43,7 +43,7 @@
# enable pytest color output for local debugging: osc --with pytestcolor
%bcond_with pytestcolor
Name: python-scikit-learn%{psuffix}
-Version: 1.2.0
+Version: 1.2.1
Release: 0
Summary: Python modules for machine learning and data mining
License: BSD-3-Clause
++++++ scikit-learn-1.2.0.tar.gz -> scikit-learn-1.2.1.tar.gz ++++++
/work/SRC/openSUSE:Factory/python-scikit-learn/scikit-learn-1.2.0.tar.gz
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.1848/scikit-learn-1.2.1.tar.gz
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