[jira] [Updated] (IGNITE-9282) [ML] Add Naive Bayes classifier

["Alexey Zinoviev (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IGNITE-9282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alexey Zinoviev updated IGNITE-9282:
------------------------------------
    Labels: new-feature newbie newbie++  (was: new-feature)

> [ML] Add Naive Bayes classifier
> -------------------------------
>
>                 Key: IGNITE-9282
>                 URL: https://issues.apache.org/jira/browse/IGNITE-9282
>             Project: Ignite
>          Issue Type: Sub-task
>          Components: ml
>            Reporter: Alexey Zinoviev
>            Assignee: Ravil Galeyev
>            Priority: Major
>              Labels: new-feature, newbie, newbie++
>             Fix For: 2.8
>
>
> 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.
> Ideally, implementation should support both multinomial naive Bayes and Bernoulli naive Bayes.
> 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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