(self)
| 591 | |
| 592 | # compute acc & auc |
| 593 | def _create_metrics(self): |
| 594 | self.acc, self.acc_op = tf.metrics.accuracy(labels=self._label, |
| 595 | predictions=self.output) |
| 596 | self.auc, self.auc_op = tf.metrics.auc(labels=self._label, |
| 597 | predictions=self.probability, |
| 598 | num_thresholds=1000) |
| 599 | tf.summary.scalar('eval_acc', self.acc) |
| 600 | tf.summary.scalar('eval_auc', self.auc) |
| 601 | |
| 602 | |
| 603 | # generate dataset pipline |