Release 0.1.5

Author: Guillaume Lemaitre

conda-recipe/imbalanced-learn/meta.yaml

@@ -1,9 +1,9 @@
 package:
   name: imbalanced-learn
-  version: "0.1.4"
+  version: "0.1.5"
 
 source:
-  git_rev: 0.1.4
+  git_rev: 0.1.5
   git_url: https://github.com/scikit-learn-contrib/imbalanced-learn.git
 
 requirements:

doc/conf.py

@@ -87,7 +87,7 @@
 # built documents.
 #
 # The short X.Y version.
-__version__ = '0.1.4'
+__version__ = '0.1.5'
 version = __version__
 # The full version, including alpha/beta/rc tags.
 release = __version__

imblearn/ensemble/easy_ensemble.py

@@ -5,14 +5,14 @@
 
 from sklearn.utils import check_random_state
 
-from ..base import BaseMulticlassSampler
+from ..base import SamplerMixin
 from ..under_sampling import RandomUnderSampler
 
 
 MAX_INT = np.iinfo(np.int32).max
 
 
-class EasyEnsemble(BaseMulticlassSampler):
+class EasyEnsemble(SamplerMixin):
     """Create an ensemble sets by iteratively applying random under-sampling.
 
     This method iteratively select a random subset and make an ensemble of the

imblearn/version.py

@@ -21,7 +21,7 @@
 # Dev branch marker is: 'X.Y.dev' or 'X.Y.devN' where N is an integer.
 # 'X.Y.dev0' is the canonical version of 'X.Y.dev'
 #
-__version__ = '0.1.4'
+__version__ = '0.1.5'
 
 _IMBALANCED_DATASET_INSTALL_MSG = 'See %s for installation information.' % (
     'glemaitre.github.io/UnbalancedDataset/install.html')

setup.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.1.4
+current_version = 0.1.5
 tag = False
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\.(?P<release>[a-z]+)(?P<dev>\d+))?
 serialize =