topsbm - A scikit-learn extension for Topic Models based on Stochastic Block Models
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.
Metadata
Release files for topsbm 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| topsbm-0.1.tar.gz | 7.2 kB | Details |
Release files / topsbm-0.1.tar.gz
| Download URL | topsbm-0.1.tar.gz |
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| Size | 7.2 kB |
| Tags | Source |
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5c90e3e6fefd7a7a754b1ea9d1a6718f55ad407271b35787a06523ce2d63869b
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twine/1.11.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.6.8
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