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Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Created
2020-11-29
351 commits to main branch, last one 2 months ago
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. I...
Created
2015-04-23
53 commits to master branch, last one 6 years ago
All Relevant Feature Selection
Created
2020-11-27
517 commits to main branch, last one 19 days ago
An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
Created
2015-05-07
37 commits to master branch, last one 3 years ago