bumpversion to 0.8.0.dev0

doc/whats_new.rst

@@ -4,6 +4,8 @@
 Release history
 ===============
 
+.. include:: whats_new/v0.8.rst
+
 .. include:: whats_new/v0.7.rst
 
 .. include:: whats_new/v0.6.rst

doc/whats_new/v0.7.rst

@@ -49,15 +49,6 @@ Bug fixes
   :class:`imblearn.over_sampling.SMOTENC`.
   :pr:`675` by :user:`bganglia <bganglia>`.
 
-- Fix a bug in :class:`imblearn.under_sampling.ClusterCentroids` where
-  `voting="hard"` could have lead to select a sample from any class instead of
-  the targeted class.
-  :pr:`769` by :user:`Guillaume Lemaitre <glemaitre>`.
-
-- Fix a bug in :class:`imblearn.FunctionSampler` where validation was performed
-  even with `validate=False` when calling `fit`.
-  :pr:`790` by :user:`Guillaume Lemaitre <glemaitre>`.
-
 Enhancements
 ............
 
@@ -72,24 +63,6 @@ Enhancements
 - Lazy import `keras` module when importing `imblearn.keras`
   :pr:`719` by :user:`Guillaume Lemaitre <glemaitre>`.
 
-- Added an option to generate smoothed bootstrap in
-  :class:`imblearn.over_sampling.RandomOverSampler`. It is controls by the
-  parameter `shrinkage`. This method is also known as Random Over-Sampling
-  Examples (ROSE).
-  :pr:`754` by :user:`Andrea Lorenzon <andrealorenzon>` and
-  :user:`Guillaume Lemaitre <glemaitre>`.
-
-- Add option `output_dict` in
-  :func:`imblearn.metrics.classification_report_imbalanced` to return a
-  dictionary instead of a string.
-  :pr:`770` by :user:`Guillaume Lemaitre <glemaitre>`.
-
-- Add the the function
-  :func:`imblearn.metrics.macro_averaged_mean_absolute_error` returning the
-  average across class of the MAE. This metric is used in ordinal
-  classification.
-  :pr:`780` by :user:`Aurélien Massiot <AurelienMassiot>`.
-
 Deprecation
 ...........
 

doc/whats_new/v0.8.rst

@@ -0,0 +1,43 @@
+.. _changes_0_8:
+
+Version 0.8.0 (Under development)
+=================================
+
+Changelog
+---------
+
+New features
+............
+
+- Add the the function
+  :func:`imblearn.metrics.macro_averaged_mean_absolute_error` returning the
+  average across class of the MAE. This metric is used in ordinal
+  classification.
+  :pr:`780` by :user:`Aurélien Massiot <AurelienMassiot>`.
+
+Enhancements
+............
+
+- Add option `output_dict` in
+  :func:`imblearn.metrics.classification_report_imbalanced` to return a
+  dictionary instead of a string.
+  :pr:`770` by :user:`Guillaume Lemaitre <glemaitre>`.
+
+- Added an option to generate smoothed bootstrap in
+  :class:`imblearn.over_sampling.RandomOverSampler`. It is controls by the
+  parameter `shrinkage`. This method is also known as Random Over-Sampling
+  Examples (ROSE).
+  :pr:`754` by :user:`Andrea Lorenzon <andrealorenzon>` and
+  :user:`Guillaume Lemaitre <glemaitre>`.
+
+Bug fixes
+.........
+
+- Fix a bug in :class:`imblearn.under_sampling.ClusterCentroids` where
+  `voting="hard"` could have lead to select a sample from any class instead of
+  the targeted class.
+  :pr:`769` by :user:`Guillaume Lemaitre <glemaitre>`.
+
+- Fix a bug in :class:`imblearn.FunctionSampler` where validation was performed
+  even with `validate=False` when calling `fit`.
+  :pr:`790` by :user:`Guillaume Lemaitre <glemaitre>`.

imblearn/_version.py

@@ -22,4 +22,4 @@
 # 'X.Y.dev0' is the canonical version of 'X.Y.dev'
 #
 
-__version__ = "0.7.0"
+__version__ = "0.8.0.dev0"

setup.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.7.0
+current_version = 0.8.0.dev0
 tag = False
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\.(?P<release>[a-z]+)(?P<dev>\d+))?
 serialize =
@@ -34,9 +34,6 @@ filterwarnings =
 
 [flake8]
 max-line-length = 88
-# Default flake8 3.5 ignored flags
-ignore=E121,E123,E126,E226,E24,E704,W503,W504,E203
-# It's fine not to put the import at the top of the file in the examples
-# folder.
+ignore = E121,E123,E126,E226,E24,E704,W503,W504,E203
 per-file-ignores =
-    examples/*: E402
+	examples/*: E402