⬆️ 0.2.0 release

docs/conf.py

@@ -90,9 +90,9 @@ def __getattr__(cls, name):
 # built documents.
 #
 # The short X.Y version.
-version = u'0.1.10'
+version = u'0.2.0'
 # The full version, including alpha/beta/rc tags.
-release = u'0.1.10'
+release = u'0.2.0'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

docs/reference/cd_algorithms/temporal_clustering.rst

@@ -4,8 +4,6 @@ Temporal Clustering
 
 Algorithms falling in this category generates communities that evolve as time goes by.
 
-.. note::
-    The following features are still under testing: therefore, they are accessible only on the *GitHub* version of the library.
 
 .. automodule:: cdlib.algorithms
 

docs/reference/classes/temporal_clustering.rst

@@ -6,9 +6,6 @@ TemporalClustering models communities that evolves as time goes by.
 
 Each temporal community clustering observation is a Clustering object, thus it inherits all properties of its specific concrete class.
 
-.. note::
-    The following features are still under testing: therefore, they are accessible only on the *GitHub* version of the library.
-
 
 ^^^^^^^^
 Overview

docs/reference/datasets.rst

@@ -4,9 +4,6 @@ Remote Datasets
 
 ``cdlib`` allows to retrieve existing datasets, along with their ground truth partitions (if available), from an ad-hoc remote `repository`_.
 
-.. note::
-    The following features are still under testing: therefore, they are accessible only on the *GitHub* version of the library.
-
 
 .. automodule:: cdlib.datasets
 

setup.py

@@ -40,7 +40,7 @@ def get_requirements(remove_links=True):
 
 
 setup(name='cdlib',
-      version='0.1.10',
+      version='0.2.0',
       license='BSD-Clause-2',
       description='Community Discovery Library',
       url='https://github.com/GiulioRossetti/cdlib',