metrics_hoslem

compare_two_profiles

Observed y, usually of the form <code>fit$y</code>.

Predicted y_hat, usually for the form <code>fit$fitted</code>

yhat

Number of bins to calculate quantiles.

Number of decimal places of form <code>c(2,3)</code>, where <code>digits[1]</code> is
for chi-sq estimate and <code>digits[2]</code> is for p-value.

digits

Ceteris Paribus Profile for historical / `old` model

cpprofile_old

Ceteris Paribus Profile for current / `new` model

cpprofile_new

variables for which drift should be calculated

variables

scale parameter for calculation of scaled drift

scale

This function calculates square root from mean square difference between Ceteris Paribus Profiles

Concept drift refers to the change in the data distribution or
in the relationships between variables over time.
'drifter' calculates distances between variable distributions or
variable relations and identifies both types of drift.
Key functions are:
calculate_covariate_drift() checks distance between corresponding variables in two datasets,
calculate_residuals_drift() checks distance between residual distributions for two models,
calculate_model_drift() checks distance between partial dependency profiles for two models,
check_drift() executes all checks against drift.
'drifter' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.

compare_two_profiles: Calculates distance between two Ceteris Paribus Profiles

Description

Usage

Arguments

Value