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From "Ravil Galeyev (JIRA)" <j...@apache.org>
Subject [jira] [Created] (IGNITE-9747) [ML] Add Bernoulli Naive Bayes classifier
Date Sun, 30 Sep 2018 21:01:00 GMT
Ravil Galeyev created IGNITE-9747:

             Summary: [ML] Add Bernoulli Naive Bayes classifier
                 Key: IGNITE-9747
                 URL: https://issues.apache.org/jira/browse/IGNITE-9747
             Project: Ignite
          Issue Type: Sub-task
          Components: ml
            Reporter: Ravil Galeyev

Naive Bayes classifiers are a family of simple probabilistic classifiers based on applying
Bayes' theorem with strong (naive) independence assumptions between the features.

So we want to add this algorithm to Apache Ignite ML module.

[Bernoulli Naive Bayes|http://scikit-learn.org/stable/modules/naive_bayes.html#bernoulli-naive-bayes] implements
the naive Bayes training and classification algorithms for data that is distributed according
to multivariate Bernoulli distributions; i.e., there may be multiple features but each one
is assumed to be a binary-valued (Bernoulli, boolean) variable.

Requirements for successful PR:
 # PartitionedDataset usage
 # Trainer-Model paradigm support
 # Tests for Model and for Trainer (and other stuff)
 # Example of usage with small, but famous dataset like IRIS, Titanic or House Prices
 # Javadocs/codestyle according guidelines

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