You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@ignite.apache.org by "Ravil Galeyev (JIRA)" <ji...@apache.org> on 2018/09/30 20:56:00 UTC

[jira] [Created] (IGNITE-9745) [ML] Add Multinomial Naive Bayes

Ravil Galeyev created IGNITE-9745:
-------------------------------------

             Summary: [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


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



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)