| /external/tensorflow/tensorflow/core/kernels/ |
| sdca_ops.cc | 69 string loss_type; local
70 OP_REQUIRES_OK(context, context->GetAttr("loss_type", &loss_type));
71 if (loss_type == "logistic_loss") {
73 } else if (loss_type == "squared_loss") {
75 } else if (loss_type == "hinge_loss") {
77 } else if (loss_type == "smooth_hinge_loss") {
79 } else if (loss_type == "poisson_loss") {
84 errors::InvalidArgument("Unsupported loss type: ", loss_type));
245 // TODO(sibyl-Aix6ihai): We could use the type-constraint on loss_type, an
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
| sdca_ops_test.py | 256 loss_type='logistic_loss')
304 loss_type='logistic_loss')
366 loss_type='logistic_loss')
407 loss_type='logistic_loss')
438 loss_type='logistic_loss')
477 loss_type='logistic_loss',
539 loss_type='logistic_loss')
597 loss_type='logistic_loss')
637 loss_type='logistic_loss')
674 loss_type='logistic_loss'
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_estimator.py | 121 loss_type = None
123 loss_type = "hinge_loss"
125 loss_type = "logistic_loss"
127 loss_type = "squared_loss"
162 columns_to_variables, weight_column_name, loss_type, features, labels,
|
| sdca_optimizer.py | 118 def get_train_step(self, columns_to_variables, weight_column_name, loss_type,
276 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 | 234 loss_type = "hinge_loss"
236 loss_type = "logistic_loss"
240 loss_type = "squared_loss"
265 loss_type, features,
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| sdca_ops.py | 97 loss_type: "logistic_loss"
132 if options['loss_type'] not in supported_losses:
133 raise ValueError('Unsupported loss_type: ', options['loss_type'])
147 'loss_type', 'symmetric_l2_regularization',
352 if self._options['loss_type'] == 'logistic_loss':
356 elif self._options['loss_type'] == 'poisson_loss':
517 loss_type=self._options['loss_type'],
536 loss_type=self._options['loss_type']
[all...] |
| /external/tensorflow/tensorflow/python/keras/engine/ |
| training_utils.py | 506 loss_type = loss.fn if is_loss_wrapper else type(loss)
507 loss_name = loss_type.__name__
[all...] |
| /external/tensorflow/tensorflow/go/op/ |
| wrappers.go | [all...] |
