aif360.sklearn.metrics
.num_pos_neg¶
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aif360.sklearn.metrics.
num_pos_neg
(y_true, y_pred=None, pos_label=1, sample_weight=None)[source]¶ Compute the number of positive and negative samples.
Parameters: - y_true (array-like) – Ground truth (correct) target values. If y_pred is provided, this is ignored.
- y_pred (array-like) – Estimated targets as returned by a classifier.
- pos_label (scalar, optional) – The label of the positive class.
- sample_weight (array-like, optional) – Sample weights.
Returns: tuple – Number of positives and negatives.
- n_positive (
float
) – (Weighted) number of positive samples. - n_negative (
float
) – (Weighted) number of negative samples.