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.. _changes_0_6_2:
Version 0.6.2
==============
**February 16, 2020**
This is a bug-fix release to resolve some issues regarding the handling the
input and the output format of the arrays.
Changelog
---------
- Allow column vectors to be passed as targets.
:pr:`673` by :user:`Christos Aridas <chkoar>`.
- Better input/output handling for pandas, numpy and plain lists.
:pr:`681` by :user:`Christos Aridas <chkoar>`.
.. _changes_0_6_1:
Version 0.6.1
==============
**December 7, 2019**
This is a bug-fix release to primarily resolve some packaging issues in version
0.6.0. It also includes minor documentation improvements and some bug fixes.
Changelog
---------
Bug fixes
.........
- Fix a bug in :class:`imblearn.ensemble.BalancedRandomForestClassifier`
leading to a wrong number of samples used during fitting due `max_samples`
and therefore a bad computation of the OOB score.
:pr:`656` by :user:`Guillaume Lemaitre <glemaitre>`.
.. _changes_0_6:
Version 0.6.0
=============
**December 5, 2019**
Changelog
---------
Changed models
..............
The following models might give some different sampling due to changes in
scikit-learn:
- :class:`imblearn.under_sampling.ClusterCentroids`
- :class:`imblearn.under_sampling.InstanceHardnessThreshold`
The following samplers will give different results due to change linked to
the random state internal usage:
- :class:`imblearn.over_sampling.ADASYN`
- :class:`imblearn.over_sampling.SMOTENC`
Bug fixes
.........
- :class:`imblearn.under_sampling.InstanceHardnessThreshold` now take into
account the `random_state` and will give deterministic results. In addition,
`cross_val_predict` is used to take advantage of the parallelism.
:pr:`599` by :user:`Shihab Shahriar Khan <Shihab-Shahriar>`.
- Fix a bug in :class:`imblearn.ensemble.BalancedRandomForestClassifier`
leading to a wrong computation of the OOB score.
:pr:`656` by :user:`Guillaume Lemaitre <glemaitre>`.
Maintenance
...........
- Update imports from scikit-learn after that some modules have been privatize.
The following import have been changed:
:class:`sklearn.ensemble._base._set_random_states`,
:class:`sklearn.ensemble._forest._parallel_build_trees`,
:class:`sklearn.metrics._classification._check_targets`,
:class:`sklearn.metrics._classification._prf_divide`,
:class:`sklearn.utils.Bunch`,
:class:`sklearn.utils._safe_indexing`,
:class:`sklearn.utils._testing.assert_allclose`,
:class:`sklearn.utils._testing.assert_array_equal`,
:class:`sklearn.utils._testing.SkipTest`.
:pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.
- Synchronize :mod:`imblearn.pipeline` with :mod:`sklearn.pipeline`.
:pr:`620` by :user:`Guillaume Lemaitre <glemaitre>`.
- Synchronize :class:`imblearn.ensemble.BalancedRandomForestClassifier` and add
parameters `max_samples` and `ccp_alpha`.
:pr:`621` by :user:`Guillaume Lemaitre <glemaitre>`.
Enhancement
...........
- :class:`imblearn.under_sampling.RandomUnderSampling`,
:class:`imblearn.over_sampling.RandomOverSampling`,
:class:`imblearn.datasets.make_imbalance` accepts Pandas DataFrame in and
will output Pandas DataFrame. Similarly, it will accepts Pandas Series in and
will output Pandas Series.
:pr:`636` by :user:`Guillaume Lemaitre <glemaitre>`.
- :class:`imblearn.FunctionSampler` accepts a parameter ``validate`` allowing
to check or not the input ``X`` and ``y``.
:pr:`637` by :user:`Guillaume Lemaitre <glemaitre>`.
- :class:`imblearn.under_sampling.RandomUnderSampler`,
:class:`imblearn.over_sampling.RandomOverSampler` can resample when non
finite values are present in ``X``.
:pr:`643` by :user:`Guillaume Lemaitre <glemaitre>`.
- All samplers will output a Pandas DataFrame if a Pandas DataFrame was given
as an input.
:pr:`644` by :user:`Guillaume Lemaitre <glemaitre>`.
- The samples generation in
:class:`imblearn.over_sampling.ADASYN`,
:class:`imblearn.over_sampling.SMOTE`,
:class:`imblearn.over_sampling.BorderlineSMOTE`,
:class:`imblearn.over_sampling.SVMSMOTE`,
:class:`imblearn.over_sampling.KMeansSMOTE`,
:class:`imblearn.over_sampling.SMOTENC` is now vectorize with giving
an additional speed-up when `X` in sparse.
:pr:`596` and :pr:`649` by :user:`Matt Eding <MattEding>`.
Deprecation
...........
- The following classes have been removed after 2 deprecation cycles:
`ensemble.BalanceCascade` and `ensemble.EasyEnsemble`.
:pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.
- The following functions have been removed after 2 deprecation cycles:
`utils.check_ratio`.
:pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.
- The parameter `ratio` and `return_indices` has been removed from all
samplers.
:pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.
- The parameters `m_neighbors`, `out_step`, `kind`, `svm_estimator`
have been removed from the :class:`imblearn.over_sampling.SMOTE`.
:pr:`617` by :user:`Guillaume Lemaitre <glemaitre>`.
|
