Revisions of python-scikit-learn
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request 1103058
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Steve Kowalik (StevenK)
(revision 58)
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Steve Kowalik (StevenK)
committed
(revision 57)
- Skip another recalcitrant test on 32 bit.
buildservice-autocommit
accepted
request 1101760
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Markéta Machová (mcalabkova)
(revision 56)
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Markéta Machová (mcalabkova)
accepted
request 1101759
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Markéta Machová (mcalabkova)
(revision 55)
- Python flavors shifted again, drop test-py38, add test-py311 Sadly, it still fails in the numpy staging
buildservice-autocommit
accepted
request 1100745
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Dirk Mueller (dirkmueller)
(revision 54)
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Dirk Mueller (dirkmueller)
accepted
request 1100585
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Markéta Machová (mcalabkova)
(revision 53)
- 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
buildservice-autocommit
accepted
request 1092217
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Dirk Mueller (dirkmueller)
(revision 52)
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Dirk Mueller (dirkmueller)
accepted
request 1092146
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Eric Schirra (ecsos)
(revision 51)
- Add %{?sle15_python_module_pythons}
buildservice-autocommit
accepted
request 1064381
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Matej Cepl (mcepl)
(revision 50)
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Matej Cepl (mcepl)
accepted
request 1063913
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Arun Persaud (apersaud)
(revision 49)
update to latest version
buildservice-autocommit
accepted
request 1058774
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Matej Cepl (mcepl)
(revision 48)
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Matej Cepl (mcepl)
accepted
request 1058551
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Benjamin Greiner (bnavigator)
(revision 47)
- 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
buildservice-autocommit
accepted
request 1032043
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Matej Cepl (mcepl)
(revision 46)
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Matej Cepl (mcepl)
accepted
request 1031614
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Benjamin Greiner (bnavigator)
(revision 45)
- 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
buildservice-autocommit
accepted
request 1030924
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Markéta Machová (mcalabkova)
(revision 44)
baserev update by copy to link target
Markéta Machová (mcalabkova)
accepted
request 1030395
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Benjamin Greiner (bnavigator)
(revision 43)
- Update dependencies - Add sklearn-pr24283-gradient-segfault.patch * gh#scikit-learn/scikit-learn#24283 - Update test suite setup.
buildservice-autocommit
accepted
request 1002744
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Dirk Mueller (dirkmueller)
(revision 42)
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Dirk Mueller (dirkmueller)
accepted
request 1002432
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Arun Persaud (apersaud)
(revision 41)
update to latest version
buildservice-autocommit
accepted
request 980051
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Dirk Mueller (dirkmueller)
(revision 40)
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Dirk Mueller (dirkmueller)
accepted
request 979987
from
Arun Persaud (apersaud)
(revision 39)
update to latest version
Displaying revisions 21 - 40 of 78