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    Details

    • Type: Sub-task
    • Status: Resolved
    • Priority: Major
    • Resolution: Duplicate
    • Affects Version/s: None
    • Fix Version/s: 2.8
    • Component/s: ml
    • Labels:
    • Release Note:
      Add Multinomial Naive Bayes
    • Ignite Flags:
      Docs Required, Release Notes Required

      Description

      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  implements the naive Bayes algorithm for multinomially distributed data.

      Requirements for successful PR:

      1. PartitionedDataset usage
      2. Trainer-Model paradigm support
      3. Tests for Model and for Trainer (and other stuff)
      4. Example of usage with a small, but a famous dataset like IRIS, Titanic or House Prices
      5. Javadocs/codestyle according guidelines

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              • Assignee:
                rgaleyev Ravil Galeyev
                Reporter:
                rgaleyev Ravil Galeyev
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                  Updated:
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