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.. _changes_0_5:
Version 0.5.0
=============
**June 28, 2019**
Changelog
---------
Changed models
..............
The following models or function might give different results even if the
same data ``X`` and ``y`` are the same.
* :class:`imblearn.ensemble.RUSBoostClassifier` default estimator changed from
:class:`sklearn.tree.DecisionTreeClassifier` with full depth to a decision
stump (i.e., tree with ``max_depth=1``).
Documentation
.............
- Correct the definition of the ratio when using a ``float`` in sampling
strategy for the over-sampling and under-sampling.
:issue:`525` by :user:`Ariel Rossanigo <arielrossanigo>`.
- Add :class:`imblearn.over_sampling.BorderlineSMOTE` and
:class:`imblearn.over_sampling.SVMSMOTE` in the API documenation.
:issue:`530` by :user:`Guillaume Lemaitre <glemaitre>`.
Enhancement
...........
- Add Parallelisation for SMOTEENN and SMOTETomek.
:pr:`547` by :user:`Michael Hsieh <Microsheep>`.
- Add :class:`imblearn.utils._show_versions`. Updated the contribution guide
and issue template showing how to print system and dependency information
from the command line. :pr:`557` by :user:`Alexander L. Hayes <batflyer>`.
- Add :class:`imblearn.over_sampling.KMeansSMOTE` which is an over-sampler
clustering points before to apply SMOTE.
:pr:`435` by :user:`Stephan Heijl <StephanHeijl>`.
Maintenance
...........
- Make it possible to ``import imblearn`` and access submodule.
:pr:`500` by :user:`Guillaume Lemaitre <glemaitre>`.
- Remove support for Python 2, remove deprecation warning from
scikit-learn 0.21.
:pr:`576` by :user:`Guillaume Lemaitre <glemaitre>`.
Bug
...
- Fix wrong usage of :class:`keras.layers.BatchNormalization` in
``porto_seguro_keras_under_sampling.py`` example. The batch normalization
was moved before the activation function and the bias was removed from the
dense layer.
:pr:`531` by :user:`Guillaume Lemaitre <glemaitre>`.
- Fix bug which converting to COO format sparse when stacking the matrices in
:class:`imblearn.over_sampling.SMOTENC`. This bug was only old scipy version.
:pr:`539` by :user:`Guillaume Lemaitre <glemaitre>`.
- Fix bug in :class:`imblearn.pipeline.Pipeline` where None could be the final
estimator.
:pr:`554` by :user:`Oliver Rausch <orausch>`.
- Fix bug in :class:`imblearn.over_sampling.SVMSMOTE` and
:class:`imblearn.over_sampling.BorderlineSMOTE` where the default parameter
of ``n_neighbors`` was not set properly.
:pr:`578` by :user:`Guillaume Lemaitre <glemaitre>`.
- Fix bug by changing the default depth in
:class:`imblearn.ensemble.RUSBoostClassifier` to get a decision stump as a
weak learner as in the original paper.
:pr:`545` by :user:`Christos Aridas <chkoar>`.
- Allow to import ``keras`` directly from ``tensorflow`` in the
:mod:`imblearn.keras`.
:pr:`531` by :user:`Guillaume Lemaitre <glemaitre>`.
|
