autointent.metrics.scoring_neg_ranking_loss#
- autointent.metrics.scoring_neg_ranking_loss(labels, scores)#
Supports multilabel.
Compute the average number of label pairs that are incorrectly ordered given y_score weighted by the size of the label set and the number of labels not in the label set.
the ideal value is 0
- Parameters:
labels (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – ground truth labels for each utterance
scores (autointent.metrics.custom_types.SCORES_VALUE_TYPE) – for each utterance, this list contains scores for each of n_classes classes
- Returns:
Score of the scoring metric
- Return type: