[jira] [Assigned] (IGNITE-9747) [ML] Add Bernoulli Naive Bayes classifier

["Ravil Galeyev (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IGNITE-9747?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ravil Galeyev reassigned IGNITE-9747:
-------------------------------------

    Assignee: Ravil Galeyev

> [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
>            Assignee: 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.
> [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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