conditional-independence
(Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information estimators. Supports continuous, discrete, and mixed data, as well as multiprocessing.
Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.