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https://issues.apache.org/jira/browse/IGNITE-9747?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16724024#comment-16724024
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ASF GitHub Bot commented on IGNITE-9747:
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Github user asfgit closed the pull request at:
https://github.com/apache/ignite/pull/5204
> [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
> 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.
> [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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