Package: python3-pomegranate
Source: python-pomegranate
Version: 0.15.0-2build1
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Python Team <team+python@tracker.debian.org>
Installed-Size: 50795
Depends: cython3, python3 (<< 3.15), python3 (>= 3.14~), python3-joblib, python3-networkx, python3-numpy (>= 1:2), python3-numpy2-abi0 | python3-numpy-abi9, python3-scipy, python3-yaml, python3:any, libc6 (>= 2.14)
Suggests: python-pomegranate-doc
Section: python
Priority: optional
Homepage: https://github.com/jmschrei/pomegranate
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.
