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From Yin Liu, Cornell University. Written in Java

MLTK is a collection of various supervised machine learning algorithms, which is designed for directly training models and further developement. If you have questions or suggestions with the code, please email Yin Lou.

Currently MLTK supports:

  • Generalized Linear Models
    • Ridge
    • Lasso
    • Elastic Net
  • Generalized Additive Models
  • Regression Trees
  • Random Forests
  • Boosted Trees


The source code requires Java 7 and is released under the BSD license.

API documentation can be found here.


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