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python-pomegranate package

python-pomegranate 0.14.8-3 source package in Ubuntu

Changelog

python-pomegranate (0.14.8-3) unstable; urgency=medium

  [ Andreas Tille ]
  * Team upload.
  * Make sure watch file reports latest version
  * Standards-Version: 4.6.2 (routine-update)

  [ Nilesh Patra ]
  * Add patch to make package compatible with np 1.24 (Closes: #1027235)

 -- Nilesh Patra <email address hidden>  Sat, 21 Jan 2023 23:29:28 +0530

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

Downloads

File Size SHA-256 Checksum
python-pomegranate_0.14.8-3.dsc 1.9 KiB 92764996f55e084f00ec8a234a9fda54358152c59c06d65ad9b3157c0f1d5260
python-pomegranate_0.14.8.orig.tar.gz 26.1 MiB a34595fca1a269f454f7b5d10b91e0279e69bb21e75815803e16c7df4780987d
python-pomegranate_0.14.8-3.debian.tar.xz 38.1 KiB 88c06364c5d0b10131e6af8a99a588c5bd4af88e9e570a1b707aa126b45430db

Available diffs

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