aif360.metrics.utils.compute_num_pos_neg
- aif360.metrics.utils.compute_num_pos_neg(X, y, w, feature_names, label, condition=None)[source]
Compute the number of positives, \(P\), or negatives, \(N\), optionally conditioned on protected attributes.
- Parameters:
X (numpy.ndarray) – Dataset features.
y (numpy.ndarray) – Label vector.
w (numpy.ndarray) – Instance weight vector.
feature_names (list) – Names of the features.
label (float) – Value of label (unfavorable/positive or unfavorable/negative).
condition (list(dict)) – Same format as
compute_boolean_conditioning_vector().
- Returns:
int – Number of positives/negatives (optionally conditioned)