| /external/tensorflow/tensorflow/contrib/boosted_trees/python/ops/ |
| quantile_ops.py | 142 def _make_summary(self, column, example_weights):
149 example_weights=example_weights,
157 example_weights=example_weights,
160 def add_summary(self, stamp_token, column, example_weights):
162 summary = self._make_summary(column, example_weights)
175 def schedule_add_summary(self, stamp_token, column, example_weights):
177 summary = self._make_summary(column, example_weights)
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
| sdca_ops_test.py | 59 def make_example_dict(example_protos, example_weights):
100 example_weights=example_weights,
154 example_weights=weights,
202 example_weights = [1.0, 1.0]
205 examples = make_example_dict(example_protos, example_weights)
250 example_weights = [1.0, 1.0]
254 examples = make_example_dict(example_protos, example_weights)
314 example_weights = [1.0, 1.0]
317 examples = make_example_dict(example_protos, example_weights)
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/learner/batch/ |
| ordinal_split_handler_test.py | 83 example_weights = array_ops.ones([4, 1], dtypes.float32)
92 example_weights,
104 example_weights,
218 example_weights = array_ops.ones([4, 1], dtypes.float32)
227 example_weights,
239 example_weights,
304 example_weights = array_ops.ones([4, 1], dtypes.float32)
313 example_weights,
325 example_weights,
387 example_weights = array_ops.ones([4, 1], dtypes.float32
[all...] |
| categorical_split_handler_test.py | 82 example_weights = array_ops.ones([4, 1], dtypes.float32)
91 example_weights,
202 example_weights = array_ops.ones([4, 1], dtypes.float32)
211 example_weights,
267 example_weights = array_ops.ones([4, 1], dtypes.float32)
276 example_weights,
315 example_weights = array_ops.ones([4, 1], dtypes.float32)
324 example_weights,
|
| ordinal_split_handler.py | 232 example_weights=quantile_weights)
375 example_weights=quantile_weights)
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/python/kernel_tests/ |
| quantile_ops_test.py | 77 example_weights = constant_op.constant(
85 example_weights=example_weights,
120 example_weights=weights)
155 example_weights=weights)
202 example_weights=weights)
277 example_weights=weight_placeholder)
315 example_weights=weight_placeholder)
353 example_weights = constant_op.constant(
359 example_weights=example_weights
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_optimizer.py | 206 example_weights = array_ops.reshape(
217 example_weights=example_weights,
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/kernels/ |
| quantile_ops.cc | 43 const char* const kExampleWeightsName = "example_weights";
369 auto example_weights = example_weights_t->flat<float>(); variable
370 const int64 batch_size = example_weights.size();
406 stream.PushEntry(dense_values(j), example_weights(j));
429 stream.PushEntry(sparse_values(j), example_weights(example_id));
782 auto example_weights = example_weights_t->flat<float>(); variable
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| sdca_internal.cc | 326 TF_RETURN_IF_ERROR(context->input("example_weights", &example_weights_t));
327 auto example_weights = example_weights_t->flat<float>(); local
329 if (example_weights.size() >= std::numeric_limits<int>::max()) {
331 "Too many examples in a mini-batch: %zu > %d", example_weights.size(),
336 const int num_examples = static_cast<int>(example_weights.size());
354 example->example_weight_ = example_weights(example_id);
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| sdca_ops.py | 76 example_weights: a tensor of type float32 and shape [Num examples]
121 'example_labels', 'example_weights', 'example_ids', 'sparse_features',
275 ['example_weights', 'sparse_features', 'dense_features'], examples)
336 internal_convert_to_tensor(self._examples['example_weights']),
424 example_weights = summed_values[3]
429 ) / example_weights
445 'example_labels', 'example_weights', 'sparse_features', 'dense_features'
455 internal_convert_to_tensor(examples['example_weights']),
499 'example_labels', 'example_weights', 'sparse_features', 'dense_features'
503 weights = internal_convert_to_tensor(examples['example_weights'])
[all...] |
| /external/tensorflow/tensorflow/go/op/ |
| wrappers.go | [all...] |
