Bug#935989: ITP: python-pomegranate -- Fast, flexible and easy to use probabilistic modelling
Package: wnpp
Severity: wishlist
Subject: ITP: python-pomegranate -- Fast, flexible and easy to use probabilistic modelling
Package: wnpp
Owner: Steffen Moeller <moeller@debian.org>
Severity: wishlist
* Package name : python-pomegranate
Version : 0.11.1
Upstream Author : Copyright: <years> <put author's name and email here>
* URL : https://github.com/jmschrei/pomegranate
* License : MIT
Programming Lang: C
Description : Fast, flexible and easy to use probabilistic modelling
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.
Remark: This package is maintained by Debian Python Modules Team at
https://salsa.debian.org/python-team/modules/python-pomegranate
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