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Posted to dev@ignite.apache.org by "Ravil Galeyev (JIRA)" <ji...@apache.org> on 2018/09/30 20:58:00 UTC

[jira] [Created] (IGNITE-9746) [ML] Add Complement Naive Bayes

Ravil Galeyev created IGNITE-9746:
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             Summary: [ML] Add Complement Naive Bayes
                 Key: IGNITE-9746
                 URL: https://issues.apache.org/jira/browse/IGNITE-9746
             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.

[Complement Naive Bayes|http://scikit-learn.org/stable/modules/naive_bayes.html#complement-naive-bayes] is an adaptation of the standard multinomial naive Bayes (MNB) algorithm that is particularly suited for imbalanced data sets.

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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