Feature Ordering by Integrated R square Dependence (FORD) is a variable selection algorithm based on the new measure of dependence: Integrated R2 Dependence Coefficient (IRDC). For more information, see the paper: Azadkia and Roudaki (2025),"A New Measure Of Dependence: Integrated R2"
This repository implements the Integrated R-squared Dependence Coefficient (IRDC) and Feature Ordering by Integrated R-squared Dependence (FORD), which are used for variable selection.