(self)
| 347 | |
| 348 | # compute acc & auc |
| 349 | def _create_metrics(self): |
| 350 | self.acc, self.acc_op = tf.metrics.accuracy(labels=self._label, |
| 351 | predictions=self.output) |
| 352 | self.auc, self.auc_op = tf.metrics.auc(labels=self._label, |
| 353 | predictions=self.probability, |
| 354 | num_thresholds=1000) |
| 355 | tf.summary.scalar('eval_acc', self.acc) |
| 356 | tf.summary.scalar('eval_auc', self.auc) |
| 357 | |
| 358 | |
| 359 | # generate dataset pipline |