(self)
| 237 | |
| 238 | # compute acc & auc |
| 239 | def _create_metrics(self): |
| 240 | self.acc, self.acc_op = tf.metrics.accuracy(labels=self._label, |
| 241 | predictions=self.output) |
| 242 | self.auc, self.auc_op = tf.metrics.auc(labels=self._label, |
| 243 | predictions=self.probability, |
| 244 | num_thresholds=1000) |
| 245 | tf.summary.scalar('eval_acc', self.acc) |
| 246 | tf.summary.scalar('eval_auc', self.auc) |
| 247 | |
| 248 | |
| 249 | # generate dataset pipline |