(self, input, num_hidden_units, activation, layer_name)
| 159 | tf.summary.scalar('eval_auc', self.auc) |
| 160 | |
| 161 | def _create_dense_layer(self, input, num_hidden_units, activation, layer_name): |
| 162 | with tf.variable_scope(layer_name, reuse=tf.AUTO_REUSE) as mlp_layer_scope: |
| 163 | dense_layer = tf.layers.dense(input, |
| 164 | units=num_hidden_units, |
| 165 | activation=activation, |
| 166 | kernel_regularizer=self._l2_regularization, |
| 167 | name=mlp_layer_scope) |
| 168 | self._add_layer_summary(dense_layer, mlp_layer_scope.name) |
| 169 | return dense_layer |
| 170 | |
| 171 | def _l2_regularizer(self, scale, scope=None): |
| 172 | if isinstance(scale, numbers.Integral): |
no test coverage detected