Hello community,
here is the log from the commit of package python-scikit-learn for
openSUSE:Factory checked in at 2019-11-20 10:28:13
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
and /work/SRC/openSUSE:Factory/.python-scikit-learn.new.26869 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-scikit-learn"
Wed Nov 20 10:28:13 2019 rev:6 rq:749736 version:0.21.3
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes
2019-07-29 17:28:46.638249218 +0200
+++
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.26869/python-scikit-learn.changes
2019-11-20 10:28:16.570574705 +0100
@@ -1,0 +2,53 @@
+Tue Nov 19 20:10:24 UTC 2019 - Todd R <[email protected]>
+
+- Update to Version 0.21.3
+ + sklearn.cluster
+ * Fix: Fixed a bug in :class:`cluster.KMeans` where computation with
+ `init='random'` was single threaded for `n_jobs > 1` or `n_jobs = -1`.
+ * Fix: Fixed a bug in :class:`cluster.OPTICS` where users were unable to
pass
+ float `min_samples` and `min_cluster_size`.
+ * Fix: Fixed a bug in :class:`cluster.KMeans` where KMeans++ initialisation
+ could rarely result in an IndexError..
+ + sklearn.compose
+ * Fix: Fixed an issue in :class:`compose.ColumnTransformer` where using
+ DataFrames whose column order differs between :func:``fit`` and
+ :func:``transform`` could lead to silently passing incorrect columns to
the
+ ``remainder`` transformer.
+ + sklearn.datasets
+ * Fix: :func:`datasets.fetch_california_housing`,
+ :func:`datasets.fetch_covtype`,
+ :func:`datasets.fetch_kddcup99`, :func:`datasets.fetch_olivetti_faces`,
+ :func:`datasets.fetch_rcv1`, and
:func:`datasets.fetch_species_distributions`
+ try to persist the previously cache using the new ``joblib`` if the
cached
+ data was persisted using the deprecated ``sklearn.externals.joblib``.
This
+ behavior is set to be deprecated and removed in v0.23.
+.
+ + sklearn.ensemble
+ * Fix: Fix zero division error in :func:`HistGradientBoostingClassifier`
and
+ :func:`HistGradientBoostingRegressor`.
+ + sklearn.impute
+ * Fix: Fixed a bug in :class:`impute.SimpleImputer` and
+ :class:`impute.IterativeImputer` so that no errors are thrown when there
are
+ missing values in training data.
+ + sklearn.inspection
+ * Fix: Fixed a bug in :func:`inspection.plot_partial_dependence` where
+ ``target`` parameter was not being taken into account for multiclass
problems.
+ :pr:`14393` by :user:`Guillem G. Subies <guillemgsubies>`.
+ + sklearn.linear_model
+ * Fix: Fixed a bug in :class:`linear_model.LogisticRegressionCV` where
+ ``refit=False`` would fail depending on the ``'multiclass'`` and
+ ``'penalty'`` parameters (regression introduced in 0.21).
+ * Fix: Compatibility fix for :class:`linear_model.ARDRegression` and
+ Scipy>=1.3.0. Adapts to upstream changes to the default `pinvh` cutoff
+ threshold which otherwise results in poor accuracy in some cases.
+ + sklearn.neighbors
+ * Fix: Fixed a bug in :class:`neighbors.NeighborhoodComponentsAnalysis`
where
+ the validation of initial parameters ``n_components``, ``max_iter`` and
+ ``tol`` required too strict types.
+ + sklearn.tree
+ * Fix: Fixed bug in :func:`tree.export_text` when the tree has one feature
and
+ a single feature name is passed in.
+ * Fix: Fixed an issue with :func:`plot_tree` where it displayed
+ entropy calculations even for `gini` criterion in
DecisionTreeClassifiers.
+
+-------------------------------------------------------------------
Old:
----
scikit-learn-0.21.2.tar.gz
New:
----
scikit-learn-0.21.3.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-scikit-learn.spec ++++++
--- /var/tmp/diff_new_pack.sG9Z1Q/_old 2019-11-20 10:28:18.210575031 +0100
+++ /var/tmp/diff_new_pack.sG9Z1Q/_new 2019-11-20 10:28:18.214575032 +0100
@@ -19,12 +19,11 @@
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
%define skip_python2 1
Name: python-scikit-learn
-Version: 0.21.2
+Version: 0.21.3
Release: 0
Summary: Python modules for machine learning and data mining
License: BSD-3-Clause
-Group: Development/Libraries/Python
-URL: http://scikit-learn.org/
+URL: https://scikit-learn.org/
Source0:
https://files.pythonhosted.org/packages/source/s/scikit-learn/scikit-learn-%{version}.tar.gz
BuildRequires: %{python_module Cython}
BuildRequires: %{python_module devel}
@@ -36,6 +35,11 @@
BuildRequires: gcc-fortran
BuildRequires: openblas-devel
BuildRequires: python-rpm-macros
+Requires: python-joblib
+Requires: python-matplotlib
+Requires: python-numpy >= 1.8.2
+Requires: python-scipy >= 0.13.3
+Requires: python-xml
# SECTION test requirements
BuildRequires: %{python_module joblib}
BuildRequires: %{python_module matplotlib}
@@ -43,11 +47,6 @@
BuildRequires: %{python_module pytest}
BuildRequires: %{python_module xml}
# /SECTION
-Requires: python-joblib
-Requires: python-matplotlib
-Requires: python-numpy >= 1.8.2
-Requires: python-scipy >= 0.13.3
-Requires: python-xml
%python_subpackages
%description
@@ -69,6 +68,7 @@
%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"
export NO_TESTS
++++++ scikit-learn-0.21.2.tar.gz -> scikit-learn-0.21.3.tar.gz ++++++
/work/SRC/openSUSE:Factory/python-scikit-learn/scikit-learn-0.21.2.tar.gz
/work/SRC/openSUSE:Factory/.python-scikit-learn.new.26869/scikit-learn-0.21.3.tar.gz
differ: char 5, line 1
