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RAFS

Robust Aggregative Feature Selection

A cross-validated minimal-optimal feature selection algorithm. It utilises popularity counting, hierarchical clustering with feature dissimilarity measures, and prefiltering with all-relevant feature selection method to obtain the minimal-optimal set of features.

Versions across snapshots

VersionRepositoryFileSize
0.2.5 rolling linux/jammy R-4.5 RAFS_0.2.5.tar.gz 73.7 KiB
0.2.5 rolling linux/noble R-4.5 RAFS_0.2.5.tar.gz 73.7 KiB
0.2.5 rolling source/ R- RAFS_0.2.5.tar.gz 11.4 KiB
0.2.5 latest linux/jammy R-4.5 RAFS_0.2.5.tar.gz 73.7 KiB
0.2.5 latest linux/noble R-4.5 RAFS_0.2.5.tar.gz 73.7 KiB
0.2.5 latest source/ R- RAFS_0.2.5.tar.gz 11.4 KiB
0.2.5 2026-04-26 source/ R- RAFS_0.2.5.tar.gz 11.4 KiB
0.2.5 2026-04-23 source/ R- RAFS_0.2.5.tar.gz 11.4 KiB
0.2.5 2026-04-09 windows/windows R-4.5 RAFS_0.2.5.zip 76.9 KiB
0.2.5 2025-04-20 source/ R- RAFS_0.2.5.tar.gz 11.4 KiB

Dependencies (latest)

Imports