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.. _changes_0_11:
Version 0.11.0
==============
**July 8, 2023**
Changelog
---------
Bug fixes
.........
- Fix a bug in :func:`~imblearn.metrics.classification_report_imbalanced` where the
parameter `target_names` was not taken into account when `output_dict=True`.
:pr:`989` by :user:`AYY7 <AYY7>`.
- :class:`~imblearn.over_sampling.SMOTENC` now handles mix types of data type such as
`bool` and `pd.category` by delegating the conversion to scikit-learn encoder.
:pr:`1002` by :user:`Guillaume Lemaitre <glemaitre>`.
- Handle sparse matrices in :class:`~imblearn.over_sampling.SMOTEN` and raise a warning
since it requires a conversion to dense matrices.
:pr:`1003` by :user:`Guillaume Lemaitre <glemaitre>`.
- Remove spurious warning raised when minority class get over-sampled more than the
number of sample in the majority class.
:pr:`1007` by :user:`Guillaume Lemaitre <glemaitre>`.
Compatibility
.............
- Maintenance release for being compatible with scikit-learn >= 1.3.0.
:pr:`999` by :user:`Guillaume Lemaitre <glemaitre>`.
Deprecation
...........
- The fitted attribute `ohe_` in :class:`~imblearn.over_sampling.SMOTENC` is deprecated
and will be removed in version 0.13. Use `categorical_encoder_` instead.
:pr:`1000` by :user:`Guillaume Lemaitre <glemaitre>`.
- The default of the parameters `sampling_strategy`, `bootstrap` and
`replacement` will change in
:class:`~imblearn.ensemble.BalancedRandomForestClassifier` to follow the
implementation of the original paper. This changes will take effect in
version 0.13.
:pr:`1006` by :user:`Guillaume Lemaitre <glemaitre>`.
Enhancements
............
- :class:`~imblearn.over_sampling.SMOTENC` now accepts a parameter `categorical_encoder`
allowing to specify a :class:`~sklearn.preprocessing.OneHotEncoder` with custom
parameters.
:pr:`1000` by :user:`Guillaume Lemaitre <glemaitre>`.
- :class:`~imblearn.over_sampling.SMOTEN` now accepts a parameter `categorical_encoder`
allowing to specify a :class:`~sklearn.preprocessing.OrdinalEncoder` with custom
parameters. A new fitted parameter `categorical_encoder_` is exposed to access the
fitted encoder.
:pr:`1001` by :user:`Guillaume Lemaitre <glemaitre>`.
- :class:`~imblearn.under_sampling.RandomUnderSampler` and
:class:`~imblearn.over_sampling.RandomOverSampler` (when `shrinkage is not
None`) now accept any data types and will not attempt any data conversion.
:pr:`1004` by :user:`Guillaume Lemaitre <glemaitre>`.
- :class:`~imblearn.over_sampling.SMOTENC` now support passing array-like of `str`
when passing the `categorical_features` parameter.
:pr:`1008` by :user`Guillaume Lemaitre <glemaitre>`.
- :class:`~imblearn.over_sampling.SMOTENC` now support automatic categorical inference
when `categorical_features` is set to `"auto"`.
:pr:`1009` by :user`Guillaume Lemaitre <glemaitre>`.
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