Metadata-Version: 1.0
Name: Orange-NMF
Version: 0.1.2
Summary: Orange NMF add-on for Orange data mining software package.
Home-page: http://orange.biolab.si/addons/
Author: Fajwel Fogel
Author-email: fajwel.fogel@cmap.polytechnique.fr
License: GPLv3
Download-URL: https://bitbucket.org/marinkaz/orange-nmf/downloads
Description: Orange NMF
        ==========
        
        Orange NMF is an add-on for Orange_ data mining software package. It provides non-negative
        matrix factorization algorithms (NMF) through NIMFA_ and robust singular value decomposition (rSVD).
        It includes widgets that deal with missing data in input matrices, their normalizations, viewing and assessing
        the quality of matrix factors returned by different matrix factorization algorithms.
        
        .. _Orange: http://orange.biolab.si/
        
        Documentation is found at:
        
        https://orange-nmf.readthedocs.org
        
        Widgets were designed and implemented by Fajwel Fogel (Ecole Polytechnique ParisTech). All NMF methods
        call NIMFA_ library, implemented by Marinka Zitnik (Bioinformatics Laboratory, FRI UL). Thanks also to
        Doug Marsteller, Stan Young (NISS), Chris Beecher, Paul Fogel.
        
        .. _NIMFA: http://nimfa.biolab.si
Keywords: NMF,SVD,bioinformatics,data mining,machine learning,artificial intelligence,orange,orange add-on
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: X11 Applications :: Qt
Classifier: Environment :: Console
Classifier: Environment :: Plugins
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
