spark-infotheoretic-feature-selection
sramirez
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.
Growth over time
8 data points · 2021-08-01 → 2026-04-01How do you feel about this project?
Ask AI about spark-infotheoretic-feature-selection
Question copied to clipboardWhat is the sramirez/spark-infotheoretic-feature-selection GitHub project? Description: "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. ". Written in Scala. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
How to clone spark-infotheoretic-feature-selection
Clone via HTTPS
Clone via SSH
Download ZIP
Download master.zipFound an issue?
Report bugs or request features on the spark-infotheoretic-feature-selection issue tracker:
Open GitHub Issues