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Joint Probability Trees - A formalism for learning and reasoning about joint probability distributions
pip install pyjpt
PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.3.12>=1.10.1>=1.24.3>=2.0.1~=1.2.14~=4.66.0The compact report shows 18 of 33 declarations. The interactive dependency graph loads the complete metadata.
pyjpt publishes 4 wheels and 0 source archives for version 1.3.4. Wheel platform tags: manylinux2014_x86_64.manylinux_2_17_x86_64.
No version-specific Python classifiers are declared.
PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 32 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.