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python-pomegranate package

python-pomegranate 0.11.1+dfsg2-1 source package in Ubuntu

Changelog

python-pomegranate (0.11.1+dfsg2-1) unstable; urgency=medium

  [ Andreas Tille ]
  * Team upload.
  * Properly renamed version due to removal of autogenerated files
    (+dfsg suffix)

  [ Michael R. Crusoe ]
  * Switch to downloading from GitHub
  * Add Testsuite: autopkgtest-pkg-python

 -- Andreas Tille <email address hidden>  Mon, 16 Sep 2019 09:21:51 +0200

Upload details

Uploaded by:
Debian Python Modules Team
Uploaded to:
Sid
Original maintainer:
Debian Python Modules 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_0.11.1+dfsg2-1.dsc 2.5 KiB 3de43860a5aac389a6ed8a7e01109fddd398d96ae4683c4a26db38851284ca34
python-pomegranate_0.11.1+dfsg2.orig.tar.xz 12.6 MiB e92a7fa2c961066f49bf3c02ee97dd54f6cb3e169c45e26e5c3e365b0d146e3f
python-pomegranate_0.11.1+dfsg2-1.debian.tar.xz 3.1 KiB d7206f7f8ff5b543231e694cc37a7dac3b412795ec1f50413e73c46d9bec70ac

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