| /external/tensorflow/tensorflow/core/kernels/ |
| sdca_ops.cc | 68 string loss_type; local
69 OP_REQUIRES_OK(context, context->GetAttr("loss_type", &loss_type));
70 if (loss_type == "logistic_loss") {
72 } else if (loss_type == "squared_loss") {
74 } else if (loss_type == "hinge_loss") {
76 } else if (loss_type == "smooth_hinge_loss") {
81 errors::InvalidArgument("Unsupported loss type: ", loss_type));
235 // TODO(sibyl-Aix6ihai): We could use the type-constraint on loss_type, and
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
| sdca_ops_test.py | 211 loss_type='logistic_loss')
259 loss_type='logistic_loss',
323 loss_type='logistic_loss')
381 loss_type='logistic_loss')
421 loss_type='logistic_loss')
458 loss_type='logistic_loss')
499 loss_type='logistic_loss')
539 loss_type='logistic_loss')
576 loss_type='logistic_loss')
599 loss_type='logistic_loss'
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_estimator.py | 120 loss_type = None
122 loss_type = "hinge_loss"
124 loss_type = "logistic_loss"
126 loss_type = "squared_loss"
159 columns_to_variables, weight_column_name, loss_type, features, labels,
|
| sdca_optimizer.py | 104 def get_train_step(self, columns_to_variables, weight_column_name, loss_type,
233 loss_type=loss_type))
|
| /external/iproute2/tc/ |
| q_netem.c | 185 __u16 loss_type = NETEM_LOSS_UNSPEC; local
222 if (opt.loss > 0 || loss_type != NETEM_LOSS_UNSPEC) {
262 loss_type = NETEM_LOSS_GI;
306 loss_type = NETEM_LOSS_GE;
454 if (opt.loss <= 0 && loss_type == NETEM_LOSS_UNSPEC) {
487 if (loss_type != NETEM_LOSS_UNSPEC) {
491 if (loss_type == NETEM_LOSS_GI) {
495 } else if (loss_type == NETEM_LOSS_GE) {
|
| /external/webrtc/webrtc/modules/rtp_rtcp/test/testFec/ |
| test_packet_masks_metrics.cc | 97 LossModelType loss_type; member in struct:webrtc::LossModel
258 if (loss_model_[k].loss_type == kRandomLossModel) {
267 assert(loss_model_[k].loss_type == kBurstyLossModel);
606 loss_model_[num_loss_models].loss_type = kRandomLossModel;
608 loss_model_[num_loss_models].loss_type = kBurstyLossModel;
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| linear.py | 229 loss_type = "hinge_loss"
231 loss_type = "logistic_loss"
235 loss_type = "squared_loss"
258 loss_type, features,
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| sdca_ops.py | 86 loss_type: "logistic_loss"
117 if options['loss_type'] not in supported_losses:
118 raise ValueError('Unsupported loss_type: ', options['loss_type'])
132 'loss_type', 'symmetric_l2_regularization',
279 if self._options['loss_type'] == 'logistic_loss':
343 loss_type=self._options['loss_type'],
458 if self._options['loss_type'] == 'logistic_loss':
464 if self._options['loss_type'] in ['hinge_loss', 'smooth_hinge_loss']
[all...] |
| /external/tensorflow/tensorflow/go/op/ |
| wrappers.go | [all...] |
