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Aleksey Zinoviev updated IGNITE-9746: ------------------------------------- Affects Version/s: 3.0 > [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 > Affects Versions: 3.0 > Reporter: Ravil Galeyev > Priority: Major > > 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 -- This message was sent by Atlassian Jira (v8.3.4#803005)