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 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