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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