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python-pomegranate package

python-pomegranate 0.14.8-3build2 source package in Ubuntu

Changelog

python-pomegranate (0.14.8-3build2) noble; urgency=medium

  * No-change rebuild to build with python3.12 as supported.

 -- Matthias Klose <email address hidden>  Thu, 02 Nov 2023 09:27:18 +0100

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Noble proposed universe misc

Downloads

File Size SHA-256 Checksum
python-pomegranate_0.14.8.orig.tar.gz 26.1 MiB a34595fca1a269f454f7b5d10b91e0279e69bb21e75815803e16c7df4780987d
python-pomegranate_0.14.8-3build2.debian.tar.xz 38.2 KiB 5526915fd14ae49faea06c91ae5b5a3a502d1edb0f0f464215accabf584c405d
python-pomegranate_0.14.8-3build2.dsc 2.5 KiB 23707fcb82e4629fdc19864c1cf9f0d68c4206f8f2bef3c94f4e6ad5dcefa8e3

Available diffs

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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