c8f605e47dcefe192f3a9b477f3e56b437615e34,pytorch_lightning/metrics/classification/precision_recall.py,Precision,compute,#Precision#,108

Before Change

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

After Change

              of classes
        
        tp, fp, tn, fn = self._get_final_stats()
        return _precision_compute(tp, fp, tn, fn, self.average, self.mdmc_reduce)


class Recall(StatScores):
    r

Instances