Solve issue #150 (#151)

* Solve issue #150

* Release 0.1.8

conda-recipe/imbalanced-learn/meta.yaml

@@ -1,9 +1,9 @@
 package:
   name: imbalanced-learn
-  version: "0.1.7"
+  version: "0.1.8"
 
 source:
-  git_rev: 0.1.7
+  git_rev: 0.1.8
   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__ = '0.1.7'
+__version__ = '0.1.8'
 version = __version__
 # The full version, including alpha/beta/rc tags.
 release = __version__

imblearn/under_sampling/edited_nearest_neighbours.py

@@ -348,8 +348,8 @@ def _sample(self, X, y):
             self.logger.debug('Current ENN stats: %s', stats_enn)
             # Get the number of samples in the non-minority classes
             count_non_min = np.array([val for val, key
-                                      in zip(stats_enn.itervalues(),
-                                             stats_enn.iterkeys())
+                                      in zip(stats_enn.values(),
+                                             stats_enn.keys())
                                       if key != self.min_c_])
             self.logger.debug('Number of samples in the non-majority'
                               ' classes: %s', count_non_min)

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__ = '0.1.7'
+__version__ = '0.1.8'
 
 _IMBALANCED_DATASET_INSTALL_MSG = 'See %s for installation information.' % (
     'glemaitre.github.io/UnbalancedDataset/install.html')

setup.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.1.7
+current_version = 0.1.8
 tag = False
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\.(?P<release>[a-z]+)(?P<dev>\d+))?
 serialize =