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From "Alexey Zinoviev (Jira)" <j...@apache.org>
Subject [jira] [Updated] (IGNITE-9745) [ML] Add Multinomial Naive Bayes
Date Thu, 31 Oct 2019 13:04:00 GMT

     [ https://issues.apache.org/jira/browse/IGNITE-9745?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Alexey Zinoviev updated IGNITE-9745:
------------------------------------
    Fix Version/s: 2.8

> [ML] Add Multinomial Naive Bayes
> --------------------------------
>
>                 Key: IGNITE-9745
>                 URL: https://issues.apache.org/jira/browse/IGNITE-9745
>             Project: Ignite
>          Issue Type: Sub-task
>          Components: ml
>            Reporter: Ravil Galeyev
>            Priority: Major
>              Labels: 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.
> [Multinomial Naive Bayes|http://scikit-learn.org/stable/modules/naive_bayes.html#multinomial-naive-bayes]  implements
the naive Bayes algorithm for multinomially distributed data.
> Requirements for successful PR:
>  # PartitionedDataset usage
>  # Trainer-Model paradigm support
>  # Tests for Model and for Trainer (and other stuff)
>  # Example of usage with a small, but a famous dataset like IRIS, Titanic or House Prices
>  # Javadocs/codestyle according guidelines



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