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sramirez/spark-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

Owner
sramirez (personal account)
Stars
Stars: 132
Forks
Forks: 44
Language
Scala
License
Apache-2.0
Created
2015
Topics
mrmrsparkbrownfilterfeature-selection
Tier
Prototype (100 to 249 ★) What this tier means
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