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From "Aleksey Zinoviev (Jira)" <j...@apache.org>
Subject [jira] [Updated] (IGNITE-9746) [ML] Add Complement Naive Bayes
Date Wed, 25 Sep 2019 09:18:00 GMT

     [ https://issues.apache.org/jira/browse/IGNITE-9746?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

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



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