June 28, 2019
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).
- Correct the definition of the ratio when using a
floatin 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>`.
- 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>`.
- Make it possible to
import imblearnand 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>`.
- Fix wrong usage of :class:`keras.layers.BatchNormalization` in
porto_seguro_keras_under_sampling.pyexample. 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_neighborswas 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
kerasdirectly fromtensorflowin the :mod:`imblearn.keras`. :pr:`531` by :user:`Guillaume Lemaitre <glemaitre>`.