cblume OP t1_j4qwpte wrote on January 17, 2023 at 5:20 PM Reply to comment by iyeva in [P] featureimpact: A Python package for estimating the impact of features on ML models by cblume Similar idea in that features are perturbed but both algorithms are quite different. E.g. sklearn uses scores but featureimpact doesn't; sklearn uses random perturbations but featureimpact uses quantiles. Permalink Parent 3
[P] featureimpact: A Python package for estimating the impact of features on ML models Submitted by cblume t3_10e3rbq on January 17, 2023 at 5:16 AM in MachineLearning 6 comments 53
cblume OP t1_j4qwpte wrote
Reply to comment by iyeva in [P] featureimpact: A Python package for estimating the impact of features on ML models by cblume
Similar idea in that features are perturbed but both algorithms are quite different. E.g. sklearn uses scores but featureimpact doesn't; sklearn uses random perturbations but featureimpact uses quantiles.