Fast, flexible and easy to use probabilistic modelling
Descriptionpomegranate 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.
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Install this software package
If the package is available for the distribution you are currently using on your computer then install the software by clicking on…Install python3-pomegranate