Version bump

Author: marinkaz

docs/source/conf.py

@@ -43,7 +43,7 @@
 
 # General information about the project.
 project = 'Nimfa'
-copyright = '2016, Marinka Zitnik'
+copyright = '2016, The Nimfa developers'
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the
@@ -52,7 +52,7 @@
 # The short X.Y version.
 version = '1.3'
 # The full version, including alpha/beta/rc tags.
-release = '1.3.0'
+release = '1.3.1'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -199,7 +199,7 @@
 # (source start file, target name, title, author, documentclass [howto/manual]).
 latex_documents = [
   ('index', 'nimfa-APythonLibraryforNonnegativeMatrixFactorization.tex', 'nimfa - A Python Library for Nonnegative Matrix Factorization',
-   'Marinka Zitnik', 'manual'),
+   'The Nimfa developers', 'manual'),
 ]
 
 # The name of an image file (relative to this directory) to place at the top of

docs/source/index.rst

@@ -5,6 +5,10 @@ Welcome to Nimfa
 `Nimfa`_ is a Python library for nonnegative matrix factorization. It includes implementations of several factorization methods, initialization approaches, and quality scoring.
 Both dense and sparse matrix representation are supported.
 
+Nimfa is distributed under the BSD license.
+
+****
+
 The sample script using Nimfa on medulloblastoma gene expression data is given below. It uses alternating least squares nonnegative matrix 
 factorization with projected gradient method for subproblems [Lin2007]_ and Random Vcol [Albright2006]_ initialization algorithm. An object returned by ``nimfa.mf_run`` is 
 fitted factorization model through which user can access matrix factors and estimate quality measures.
@@ -253,30 +257,4 @@ Disclaimer
 
 This software and data is provided as-is, and there are no guarantees
 that it fits your purposes or that it is bug-free. Use it at your own 
-risk! 
-
-#######
-License
-#######
-
-Nimfa - A Python Library for Nonnegative Matrix Factorization
-Copyright (C) 2011-2016
-
-This program is free software: you can redistribute it and/or modify
-it under the terms of the GNU General Public License as published by
-the Free Software Foundation, either version 3 of the License, or
-any later version.
-
-This program is distributed in the hope that it will be useful,
-but WITHOUT ANY WARRANTY; without even the implied warranty of
-MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-GNU General Public License for more details.
-
-		
-################
-Index and Search
-################
-
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
+risk!

nimfa/__init__.py

@@ -12,7 +12,7 @@
 """
 
 __license__ = 'BSD'
-__version__ = '1.3.0'
+__version__ = '1.3.1'
 __maintainer__ = 'Marinka Zitnik'
 __email__ = '[email protected]'
 

setup.py

@@ -15,7 +15,7 @@
 KEYWORDS = ['matrix factorization', 'nonnegative matrix factorization',
             'bioinformatics', 'data mining', 'machine learning']
 LICENSE = 'BSD'
-VERSION = '1.3.0'
+VERSION = '1.3.1'
 ISRELEASED = True
 
 INSTALL_REQUIRES = (