(self)
| 358 | |
| 359 | # compute acc & auc |
| 360 | def _create_metrics(self): |
| 361 | self.acc, self.acc_op = tf.metrics.accuracy(labels=self._label, |
| 362 | predictions=self.output) |
| 363 | self.auc, self.auc_op = tf.metrics.auc(labels=self._label, |
| 364 | predictions=self.probability, |
| 365 | num_thresholds=1000) |
| 366 | tf.summary.scalar('eval_acc', self.acc) |
| 367 | tf.summary.scalar('eval_auc', self.auc) |
| 368 | |
| 369 | |
| 370 | # generate dataset pipline |