python-pomegranate 0.13.5-1build1 source package in Ubuntu

Changelog

python-pomegranate (0.13.5-1build1) jammy; urgency=medium

  * No-change rebuild to add python3.10.

 -- Matthias Klose <email address hidden>  Mon, 18 Oct 2021 00:21:14 +0200

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Uploaded by:
Matthias Klose
Uploaded to:
Jammy
Original maintainer:
Debian Python Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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python-pomegranate_0.13.5.orig.tar.gz 26.1 MiB 16ffa0b835007e33432ae08ce79a4da26c5ed32afbb38f5356b27c0e143a9aa5
python-pomegranate_0.13.5-1build1.debian.tar.xz 3.7 KiB 9571a92210e9941f7d6846b31496f8d3975863d9f130b020bea55b8e4f7bebea
python-pomegranate_0.13.5-1build1.dsc 2.6 KiB 79f74579557fa549646a32a9d72ea91316a40672f7cd6e2d156fbaf0125fe4c3

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Binary packages built by this source

python-pomegranate-doc: 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.

python3-pomegranate: 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.

python3-pomegranate-dbgsym: debug symbols for python3-pomegranate