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python3-pomegranate-devel-0.12.0-bp154.1.38 RPM for s390x

From OpenSuSE Leap 15.4 for s390x

Name: python3-pomegranate-devel Distribution: SUSE Linux Enterprise 15 SP4
Version: 0.12.0 Vendor: openSUSE
Release: bp154.1.38 Build date: Thu May 12 08:47:13 2022
Group: Unspecified Build host: s390zl24
Size: 23733504 Source RPM: python-pomegranate-0.12.0-bp154.1.38.src.rpm
Packager: https://bugs.opensuse.org
Url: https://github.com/jmschrei/pomegranate
Summary: Development files for python3-pomegranate
 
Pomegranate is a graphical models library for Python, implemented in Cython for speed.

This package provides development files needed to run software that depends on
Pomegranate.

Provides

Requires

License

MIT

Changelog

* Mon Jun 08 2020 Tomáš Chvátal <tchvatal@suse.com>
  - Disable py2 build due to missing deps
* Mon Jan 06 2020 Todd R <toddrme2178@gmail.com>
  - Update to Version 0.12.0
    + Highlights
    * MarkovNetwork models have been added in and include both inference and structure learning.
    * Support for Python 2 has been depricated.
    * Markov network, data generator, and callback tutorials have been added in
    * A robust `from_json` method has been added in to __init__.py that can deserialize JSONs from any pomegranate model.
    + MarkovNetwork
    * MarkovNetwork models have been added in as a new probabilistic model.
    * Loopy belief propagation inference has been added in using the FactorGraph backend
    * Structure learning has been added in using Chow-Liu trees
    + BayesianNetwork
    * Chow-Liu tree building has been sped up slightly, courtesy of @alexhenrie
    * Chow-Liu tree building was further sped up by almost an order of magnitude
    * Constraint Graphs no longer fail when passing in graphs with self loops, courtesy of @alexhenrie
    + BayesClassifier
    * Updated the `from_samples` method to accept BayesianNetwork as an emission. This will build one Bayesian network for each class and use them as the emissions.
    + Distributions
    * Added a warning to DiscreteDistribution when the user passes in an empty dictionary.
    * Fixed the sampling procedure for JointProbabilityTables.
    * GammaDistributions should have their shape issue resolved
    * The documentation for BetaDistributions has been updated to specify that it is a Beta-Bernoulli distribution.
    + io
    * New file added, io.py, that contains data generators that can be operated on
    * Added DataGenerator, DataFrameGenerator, and a BaseGenerator class to inherit from
    + HiddenMarkovModel
    * Added RandomState parameter to `from_samples` to account for randomness when building discrete models.
    + Misc
    * Unneccessary calls to memset have been removed, courtesy of @alexhenrie
    * Checking for missing values has been slightly refactored to be cleaner, courtesy of @mareksmid-lucid
    * Include the LICENSE file in MANIFEST.in and simplify a bit, courtesy of @toddrme2178
    * Added in a robust from_json method that can be used to deseralize a JSON for any pomegranate model.
    + docs
    * Added io.rst to briefly describe data generators
    * Added MarkovNetwork.rst to describe Markov networks
    * Added links to tutorials that did not have tutorials linked to them.
    + Tutorials
    * Added in a tutorial notebook for Markov networks
    * Added in a tutorial notebook for data generators
    * Added in a tutorial notebook for callbacks
    + CI
    * Removed unit tests for Py2.7 from AppVeyor and Travis
    * Added unit tests for Py3.8 to AppVeyor and Travis
  - Dropped python2 support
* Mon Nov 18 2019 Todd R <toddrme2178@gmail.com>
  - Initial version

Files

/usr/lib64/python3.6/site-packages/pomegranate/BayesClassifier.c
/usr/lib64/python3.6/site-packages/pomegranate/BayesianNetwork.c
/usr/lib64/python3.6/site-packages/pomegranate/FactorGraph.c
/usr/lib64/python3.6/site-packages/pomegranate/MarkovChain.c
/usr/lib64/python3.6/site-packages/pomegranate/MarkovNetwork.c
/usr/lib64/python3.6/site-packages/pomegranate/NaiveBayes.c
/usr/lib64/python3.6/site-packages/pomegranate/base.c
/usr/lib64/python3.6/site-packages/pomegranate/bayes.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/BernoulliDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/BetaDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/ConditionalProbabilityTable.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/DirichletDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/DiscreteDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/ExponentialDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/GammaDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/IndependentComponentsDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/JointProbabilityTable.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/KernelDensities.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/LogNormalDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/MultivariateGaussianDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/NormalDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/PoissonDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/UniformDistribution.c
/usr/lib64/python3.6/site-packages/pomegranate/distributions/distributions.c
/usr/lib64/python3.6/site-packages/pomegranate/gmm.c
/usr/lib64/python3.6/site-packages/pomegranate/hmm.c
/usr/lib64/python3.6/site-packages/pomegranate/kmeans.c
/usr/lib64/python3.6/site-packages/pomegranate/parallel.c
/usr/lib64/python3.6/site-packages/pomegranate/utils.c
/usr/share/licenses/python3-pomegranate-devel
/usr/share/licenses/python3-pomegranate-devel/LICENSE

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Fabrice Bellet, Tue Jul 9 16:14:43 2024