spark-infotheoretic-feature-selection

filter

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.

How to download and setup spark-infotheoretic-feature-selection

Open terminal and run command

git clone https://github.com/sramirez/spark-infotheoretic-feature-selection.git

git clone is used to create a copy or clone of spark-infotheoretic-feature-selection repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with spark-infotheoretic-feature-selection https://github.com/sramirez/spark-infotheoretic-feature-selection/archive/master.zip

Or simply clone spark-infotheoretic-feature-selection with SSH

[email protected]:sramirez/spark-infotheoretic-feature-selection.git

If you have some problems with spark-infotheoretic-feature-selection

You may open issue on spark-infotheoretic-feature-selection support forum (system) here: https://github.com/sramirez/spark-infotheoretic-feature-selection/issues

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