- 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