{ "_id": "6a31175e3efcd9bda435a8c1", "Package": "drifter", "Title": "Concept Drift and Concept Shift Detection for Predictive Models", "Version": "0.2.2", "Authors@R": "c(person(\"Przemyslaw\", \"Biecek\", email = \"przemyslaw.biecek@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Katarzyna\", \"Pekala\", role = \"ctb\"))", "Description": "Concept drift refers to the change in the data\ndistribution or in the relationships between variables over\ntime. 'drifter' calculates distances between variable\ndistributions or variable relations and identifies both types\nof drift. Key functions are: calculate_covariate_drift() checks\ndistance between corresponding variables in two datasets,\ncalculate_residuals_drift() checks distance between residual\ndistributions for two models, calculate_model_drift() checks\ndistance between partial dependency profiles for two models,\ncheck_drift() executes all checks against drift. 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