(self)
| 276 | |
| 277 | # compute acc & auc |
| 278 | def _create_metrics(self): |
| 279 | self.acc, self.acc_op = tf.metrics.accuracy(labels=self._label, |
| 280 | predictions=self.output) |
| 281 | self.auc, self.auc_op = tf.metrics.auc(labels=self._label, |
| 282 | predictions=self.probability, |
| 283 | num_thresholds=1000) |
| 284 | tf.summary.scalar('eval_acc', self.acc) |
| 285 | tf.summary.scalar('eval_auc', self.auc) |
| 286 | |
| 287 | |
| 288 | # generate dataset pipline |