Metadata-Version: 1.0
Name: topsbm
Version: 0.1
Summary: A scikit-learn extension for Topic Modelling with Hierarchical Stochastic Block Models
Home-page: https://topsbm.readthedocs.io
Author: Martin Gerlach, Eduardo Altmann, Vijay Raghunath, Joel Nothman
Author-email: martin.gerlach@northwestern.edu
License: GPLv3
Description: topsbm - A scikit-learn extension for Topic Models based on Stochastic Block Models
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        Martin Gerlach, Tiago P. Peixoto, and Eduardo G. Altmann, `“A network approach to topic models,” <http://advances.sciencemag.org/content/4/7/eaaq1360>`_ Science Advances (2018)
        
        Software ported to Scikit-learn format by the `Sydney Informatics Hub <https://informatics.sydney.edu.au>`__ at the University of Sydney.
        
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            :target: https://badge.fury.io/py/topsbm
        
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            :target: https://travis-ci.org/Sydney-Informatics-Hub/topsbm
        
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            :target: https://github.com/Sydney-Informatics-Hub/topsbm
        
        .. |coverage| image:: https://coveralls.io/repos/github/Sydney-Informatics-Hub/topsbm/badge.svg
            :alt: Test coverage
            :target: https://coveralls.io/github/Sydney-Informatics-Hub/topsbm
        
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             :target: https://opensource.org/licenses/gpl-license
        
Platform: UNKNOWN
