File python-sklearn-pandas.changes of Package python-sklearn-pandas
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Mon Feb 6 08:06:15 UTC 2023 - Daniel Garcia <daniel.garcia@suse.com>
- Disable broken tests gh#scikit-learn-contrib/sklearn-pandas#248
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Sat Feb 12 23:37:31 UTC 2022 - Arun Persaud <arun@gmx.de>
- update to version 2.2.0:
* Added an ability to provide callable functions instead of static
column list.
- changes from version 2.1.0:
* Removed test for Python 3.6 and added Python 3.9
* Added deprecation warning for NumericalTransformer
* Fixed pickling issue causing integration issues with Baikal.
* Started publishing package to conda repo
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Thu Jan 28 19:44:35 UTC 2021 - Ben Greiner <code@bnavigator.de>
- update to version 2.0.4
* Explicitly handling serialization (#224)
* document fixes
* Making transform function thread safe (#194)
* Switched to nox for unit testing (#226)
- Changlog for 2.0.3
* Added elapsed time information for each feature.
- Skip python36 build because of SciPy 1.6.0
- Get the GitHub archive for the tests and run them
- No extra mock required
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Sat Oct 10 19:08:06 UTC 2020 - Arun Persaud <arun@gmx.de>
- specfile:
* updated versions of required packages
- update to version 2.0.2:
* Fix DataFrameMapper drop_cols attribute naming consistency with
scikit-learn and initialization.
- changes from version 2.0.1:
* Added an option to explicitly drop columns.
- changes from version 2.0.0:
* Deprecated support for Python < 3.6.
* Deprecated support for old versions of scikit-learn, pandas and
numpy. Please check setup.py for minimum requirement.
* Removed CategoricalImputer, cross_val_score and GridSearchCV. All
these functionality now exists as part of scikit-learn. Please use
SimpleImputer instead of CategoricalImputer. Also Cross validation
from sklearn now supports dataframe so we don't need to use cross
validation wrapper provided over here.
* Added NumericalTransformer for common numerical
transformations. Currently it implements log and log1p
transformation.
* Added prefix and suffix options. See examples above. These are
usually helpful when using gen_features.
* Added drop_cols argument to DataframeMapper. This can be used to
explicitly drop columns
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Mon Jan 6 15:11:42 UTC 2020 - Todd R <toddrme2178@gmail.com>
- Drop python2 subpackage due to dependencies dropping python2.
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Sat Dec 8 19:39:33 UTC 2018 - Arun Persaud <arun@gmx.de>
- update to version 1.8.0:
* Add FunctionTransformer class (#117).
* Fix column names derivation for dataframes with multi-index or
non-string columns (#166).
* Change behaviour of DataFrameMapper's fit_transform method to
invoke each underlying transformers' native fit_transform if
implemented. (#150)
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Sun Sep 2 16:30:43 UTC 2018 - arun@gmx.de
- specfile:
* remove devel from noarch
* be more specific in %files section
- update to version 1.7.0:
* Fix issues with unicode names in get_names (#160).
* Update to build using numpy==1.14 and python==3.6 (#154).
* Add strategy and fill_value parameters to CategoricalImputer to
allow imputing with values other than the mode (#144), (#161).
* Preserve input data types when no transform is supplied (#138).
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Thu May 24 17:45:17 UTC 2018 - toddrme2178@gmail.com
- spec file cleanups
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Thu Nov 9 06:00:35 UTC 2017 - arun@gmx.de
- update to version 1.6.0:
* Add column name to exception during fit/transform (#110).
* Add gen_feature helper function to help generating the same
transformation for multiple columns (#126).
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Fri Oct 20 16:18:41 UTC 2017 - toddrme2178@gmail.com
- initial version
