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Posted to dev@ignite.apache.org by "Ravil Galeyev (JIRA)" <ji...@apache.org> on 2018/09/30 21:01:00 UTC
[jira] [Created] (IGNITE-9747) [ML] Add Bernoulli Naive Bayes
classifier
Ravil Galeyev created IGNITE-9747:
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Summary: [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
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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