Train a Shifter to succeed a ScoringClassifier with a different goal.
- Parameters:
scd (ScoringCDataset) - a dataset of points and their current scores, obtained fromsc (ScoringClassifier) - the current ScoringClassifiercriterion (integer from 0 to 3) - 0: minimize classification error with prior probabilities
1: minimize classification error without prior probabilities
2: minimize FAR while constraining FRR
3: minimize FRR while constraining FARparam1 (double) -
- a parameter representing
lambda if criterion < 2
maxFRR if criterion == 2
maxFAR if criterion == 3
- Returns:
- shifter : Shifter
a Shifter succeeding the current ScoringClassifier 'sc'
- shifter.err : double
resulting function value after thresholding
- scd2 : ScoringCDataset
a new ScoringCDataset shifted (subtracted) from scd by
shifter.thresh
|