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DOC move entries from 0.11.1 to 0.12.0
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doc/whats_new/v0.11.rst

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.. _changes_0_11:
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Version 0.11.1
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==============
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Changelog
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---------
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Bug fixes
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.........
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- Fix a bug in :class:`~imblearn.over_sampling.SMOTENC` where the entries of the
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one-hot encoding should be divided by `sqrt(2)` and not `2`, taking into account that
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they are plugged into an Euclidean distance computation.
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:pr:`1014` by :user:`Guillaume Lemaitre <glemaitre>`.
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- Raise an informative error message when all support vectors are tagged as noise in
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:class:`~imblearn.over_sampling.SVMSMOTE`.
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:pr:`1016` by :user:`Guillaume Lemaitre <glemaitre>`.
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- Fix a bug in :class:`~imblearn.over_sampling.SMOTENC` where the median of standard
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deviation of the continuous features was only computed on the minority class. Now,
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we are computing this statistic for each class that is up-sampled.
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:pr:`1015` by :user:`Guillaume Lemaitre <glemaitre>`.
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- Fix a bug in :class:`~imblearn.over_sampling.SMOTENC` such that the case where
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the median of standard deviation of the continuous features is null is handled
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in the multiclass case as well.
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:pr:`1015` by :user:`Guillaume Lemaitre <glemaitre>`.
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- Fix a bug in :class:`~imblearn.over_sampling.BorderlineSMOTE` version 2 where samples
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should be generated from the whole dataset and not only from the minority class.
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:pr:`1023` by :user:`Guillaume Lemaitre <glemaitre>`.
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Version 0.11.0
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==============
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doc/whats_new/v0.12.rst

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Bug fixes
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- Fix a bug in :class:`~imblearn.over_sampling.SMOTENC` where the entries of the
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one-hot encoding should be divided by `sqrt(2)` and not `2`, taking into account that
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they are plugged into an Euclidean distance computation.
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:pr:`1014` by :user:`Guillaume Lemaitre <glemaitre>`.
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- Raise an informative error message when all support vectors are tagged as noise in
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:class:`~imblearn.over_sampling.SVMSMOTE`.
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:pr:`1016` by :user:`Guillaume Lemaitre <glemaitre>`.
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- Fix a bug in :class:`~imblearn.over_sampling.SMOTENC` where the median of standard
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deviation of the continuous features was only computed on the minority class. Now,
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we are computing this statistic for each class that is up-sampled.
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:pr:`1015` by :user:`Guillaume Lemaitre <glemaitre>`.
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- Fix a bug in :class:`~imblearn.over_sampling.SMOTENC` such that the case where
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the median of standard deviation of the continuous features is null is handled
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in the multiclass case as well.
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:pr:`1015` by :user:`Guillaume Lemaitre <glemaitre>`.
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- Fix a bug in :class:`~imblearn.over_sampling.BorderlineSMOTE` version 2 where samples
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should be generated from the whole dataset and not only from the minority class.
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:pr:`1023` by :user:`Guillaume Lemaitre <glemaitre>`.
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- Fix a bug in :class:`~imblearn.under_sampling.NeighbourhoodCleaningRule` where the
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`kind_sel="all"` was not working as explained in the literature.
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:pr:`1012` by :user:`Guillaume Lemaitre <glemaitre>`.

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