A PyMallet implementation adapted to DLATK.
Project description
PyMallet
Acknowledgment
This package is a redistributed fork of https://github.com/mimno/PyMallet. Modifications have been made to the code to enable simpler interfacing with DLATK; however, the core functionality remains unmodified.
Original README
This package provides tools for extracting latent semantic representations of text, particularly probabilistic topic models.
The implementation of LDA uses Gibbs sampling, which is simple but reliable. People often find the resulting models more useful than the stochastic variational algorithm used in Gensim.
To compile:
python setup.py build_ext --inplace
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