autointent.metrics.scoring_map#
- autointent.metrics.scoring_map(labels, scores)#
Calculate mean average precision (MAP) score for multilabel classification.
Measures precision at different ranking levels, averaged across all queries. The ideal value is 1, indicating perfect ranking.
- Parameters:
labels (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – Ground truth labels for each sample.
scores (autointent.metrics.custom_types.SCORES_VALUE_TYPE) – For each sample, scores for each of n_classes classes.
- Returns:
Mean average precision score.
- Return type: