if self._early_stopping is None:
return False
target_metric = self._early_stopping.metric
scorers = {scorer.name:score for scorer in self._scorers}
if target_metric in scorers:
higher_is_better = scorers[target_metric].higher_is_better()
else:
// TODO: the condition below is not always true, find a way to set it
// correctly for Keras metrics.
After Change
higher_is_better = None
// Look if target_metric is produced by a scorer as they define the scores order.
for scorer in self._scorers:
if target_metric in scorer.scores_name:
higher_is_better = scorer.higher_is_better()
break
if higher_is_better is None:
// TODO: the condition below is not always true, find a way to set it
// correctly for Keras metrics.
higher_is_better = target_metric != "loss"
