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https://issues.apache.org/jira/browse/IGNITE-9745?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexey Platonov resolved IGNITE-9745.
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Resolution: Duplicate
This logic was implemented in Ignite-9747
> [ML] Add Multinomial Naive Bayes
> --------------------------------
>
> Key: IGNITE-9745
> URL: https://issues.apache.org/jira/browse/IGNITE-9745
> Project: Ignite
> Issue Type: Sub-task
> Components: ml
> 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.
> [Multinomial Naive
> Bayes|http://scikit-learn.org/stable/modules/naive_bayes.html#multinomial-naive-bayes]
> implements the naive Bayes algorithm for multinomially distributed data.
> Requirements for successful PR:
> # PartitionedDataset usage
> # Trainer-Model paradigm support
> # Tests for Model and for Trainer (and other stuff)
> # Example of usage with a small, but a famous dataset like IRIS, Titanic or
> House Prices
> # Javadocs/codestyle according guidelines
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