Ubuntu
python-pomegranate package

python-pomegranate 0.14.8-6 source package in Ubuntu

Changelog

python-pomegranate (0.14.8-6) unstable; urgency=medium

  * Build the docs.
  * d/rules: remove redundant cleanup
  * d/control: support cross-building

 -- Michael R. Crusoe <email address hidden>  Fri, 12 Apr 2024 16:15:30 +0300

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc

Downloads

File Size SHA-256 Checksum
python-pomegranate_0.14.8-6.dsc 2.7 KiB 431154e8a1c1697eb3dcc4840f9be206e21ec093646bac2c020648fbcf4cae55
python-pomegranate_0.14.8.orig.tar.gz 26.1 MiB a34595fca1a269f454f7b5d10b91e0279e69bb21e75815803e16c7df4780987d
python-pomegranate_0.14.8-6.debian.tar.xz 39.2 KiB 2ee5decf22f0d03a57d757e5f533c185652aca825874f26582fb62d7c417c6bb

No changes file available.

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