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From "Ravil Galeyev (Jira)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-9746) [ML] Add Complement Naive Bayes
Date Sun, 08 Sep 2019 20:48:00 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-9746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16925248#comment-16925248
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Ravil Galeyev commented on IGNITE-9746:
---------------------------------------

[~zaleslaw] I don't think so. Keep in mind that Complement != Compound :)

If I understand right, Complement Bayes is kinda Bayes with weights.

> [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
>            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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