Pakiet: python-pomegranate-doc (0.14.8-6)

[ Pakiet źródłowy: python-pomegranate  ]

documentation accompanying probabilistic modelling library

pomegranate is a package for probabilistic models in Python that is implemented in cython for speed. It's focus is on merging the easy-to-use scikit-learn API with the modularity that comes with probabilistic modeling to allow users to specify complicated models without needing to worry about implementation details. The models are built from the ground up with big data processing in mind and so natively support features like out-of-core learning and parallelism.

This is the common documentation package.

Inne pakiety związane z python-pomegranate-doc

• dep: libjs-jquery (>= 3.6.0)

  JavaScript library for dynamic web applications

• dep: libjs-sphinxdoc (>= 7.2.2)

  JavaScript support for Sphinx documentation

• dep: sphinx-rtd-theme-common (>= 2.0.0+dfsg)

  sphinx theme from readthedocs.org (common files)

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