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Poisson topic modeling with Bayesian inference using JAX and NumPyro
pip install poisson-topicmodels
PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==0.8.4<5.0.0,>=4.3.0==0.4.35<4.0.0,>=3.10.0==2.2.4The compact report shows 12 of 27 declarations. The interactive dependency graph loads the complete metadata.
poisson-topicmodels publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .