DOC Format in classification.py
@@ -1009,6 +1009,7 @@ def precision_recall_fscore_support(y_true, y_pred, beta=1.0, labels=None,
It is possible to compute per-label precisions, recalls, F1-scores and
supports instead of averaging:
+
>>> precision_recall_fscore_support(y_true, y_pred, average=None,
... labels=['pig', 'dog', 'cat'])
... # doctest: +ELLIPSIS,+NORMALIZE_WHITESPACE
