Performs linear transformation of data to the range 0 to 1.
Essential for stacking ensembles to normalize risk scores from heterogeneous base learners.
Usage
min_max_normalize(x, min_val = NULL, max_val = NULL)
Arguments
- x
A numeric vector.
- min_val
Optional reference minimum value (e.g., from training set).
- max_val
Optional reference maximum value (e.g., from training set).
Value
A numeric vector of normalized values.