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Merged
merged 3 commits into from
Dec 7, 2019
Merged

[MRG] Update What's New v0.6 #660

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3025283
bumpversion 0.6.X
glemaitre Dec 5, 2019
3e9360a
update v0.6 changes
MattEding Dec 5, 2019
d256aff
Merge branch 'master' into 0.6.X
MattEding Dec 6, 2019
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4 changes: 3 additions & 1 deletion doc/whats_new/v0.6.rst
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Expand Up @@ -39,6 +39,7 @@ scikit-learn:
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
Expand Down Expand Up @@ -100,13 +101,14 @@ Enhancement
: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` by :user:`Matt Eding <MattEding>`.
:pr:`596` and :pr:`649` by :user:`Matt Eding <MattEding>`.

Deprecation
...........
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4 changes: 2 additions & 2 deletions imblearn/ensemble/_forest.py
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Expand Up @@ -206,7 +206,7 @@ class BalancedRandomForestClassifier(RandomForestClassifier):
subtree with the largest cost complexity that is smaller than
``ccp_alpha`` will be chosen. By default, no pruning is performed.

.. versionadded:: 0.22
.. versionadded:: 0.6
Added in `scikit-learn` in 0.22

max_samples : int or float, default=None
Expand All @@ -220,7 +220,7 @@ class BalancedRandomForestClassifier(RandomForestClassifier):
the number of samples given in `max_samples` and the number of samples
obtained after resampling.

.. versionadded:: 0.22
.. versionadded:: 0.6
Added in `scikit-learn` in 0.22

Attributes
Expand Down