c8f605e47dcefe192f3a9b477f3e56b437615e34,pytorch_lightning/metrics/classification/precision_recall.py,Recall,compute,#Recall#,208

Before Change

        
        if self.average == "micro":
            return self.true_positives.sum().float() / (self.actual_positives.sum() + METRIC_EPS)
        elif self.average == "macro":
            return (self.true_positives.float() / (self.actual_positives + METRIC_EPS)).mean()

After Change

            - If ``average in ["none", None]``, the shape will be ``(C,)``, where ``C`` stands  for the number
              of classes
        
        tp, fp, tn, fn = self._get_final_stats()
        return _recall_compute(tp, fp, tn, fn, self.average, self.mdmc_reduce)

Instances