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python-pomegranate package

python-pomegranate 0.14.8-4ubuntu1 source package in Ubuntu

Changelog

python-pomegranate (0.14.8-4ubuntu1) noble; urgency=medium

  * Avoid test failure with NumPy 1.26, see #1067233

 -- Graham Inggs <email address hidden>  Sat, 06 Apr 2024 22:03:04 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

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File Size SHA-256 Checksum
python-pomegranate_0.14.8.orig.tar.gz 26.1 MiB a34595fca1a269f454f7b5d10b91e0279e69bb21e75815803e16c7df4780987d
python-pomegranate_0.14.8-4ubuntu1.debian.tar.xz 38.8 KiB 045333d5d267e7643fd4be083288750d966d87e04ac73fb530f922185e81ffe8
python-pomegranate_0.14.8-4ubuntu1.dsc 2.6 KiB c1316b981964193f7a4639a0ef2f75b6e44753e922d8d1dabdb407a4016de4f8

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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