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topsbm - A scikit-learn extension for Topic Models based on Stochastic Block Models¶

Latest version on PyPi Documentation Status licence

Issue tracker Travis CI build status Test coverage

Martin Gerlach, Tiago P. Peixoto, and Eduardo G. Altmann, “A network approach to topic models,” Science Advances (2018)

Software ported to Scikit-learn format by the Sydney Informatics Hub at the University of Sydney.

  • Installation
    • Installing dependencies
    • Check your installation
  • API Documentation
  • Example: Introduction to topsbm
    • Setup: Load a corpus
    • Fit the model
    • Plotting the graph and block structure
    • Topics
    • Topic-distribution in each document
    • Extra: Clustering of documents - for free.
  • Maintaining the Package
    • Travis CI
    • Building the Documentation
    • ReadTheDocs
    • Releasing to PyPI
  • Index
  • © Copyright .
  • Created using Sphinx 1.8.4.