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A toolkit for adaptive importance sampling featuring implementations of variational Bayes, population Monte Carlo, and Markov chains.
pip install pypmc
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.6>=40.8.0pypmc publishes 12 wheels and 1 source archive for version 1.2.6. Wheel platform tags: macosx_10_9_x86_64, macosx_11_0_arm64, manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64, manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.
No version-specific Python classifiers are declared.
PyPI lists 14 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .