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Quickly identify clusters of variables by using a scalable, computationally efficienty annealed variational Bayesian algorithm.
pip install vbvarsel
PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.0.1>=2.2.2>=1.5.1>=1.14.0>=3.7.4.3vbvarsel publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .