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.

语言：Scala · GitHub 星标：132 · Fork：44

话题：brown · feature-selection · filter · mrmr · spark

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