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@glemaitre glemaitre released this 28 Jun 14:19
· 3 commits to 0.5.X since this release
0.5.0
12b2e0d

Version 0.5.0

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>.

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