| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| feature_column_ops.py | 94 def _input_from_feature_columns(columns_to_tensors,
103 columns_to_tensors = columns_to_tensors.copy()
109 values=columns_to_tensors.values()):
111 transformer = _Transformer(columns_to_tensors)
119 values=columns_to_tensors.values()):
155 def input_from_feature_columns(columns_to_tensors,
175 columns_to_tensors=columns_to_tensor,
195 columns_to_tensors: A mapping from feature column to tensors. 'string' key
214 return _input_from_feature_columns(columns_to_tensors,
[all...] |
| feature_column.py | 116 columns_to_tensors=columns_to_tensor,
238 def insert_transformed_feature(self, columns_to_tensors):
239 """Apply transformation and inserts it into columns_to_tensors.
242 columns_to_tensors: A mapping from feature columns to tensors. 'string'
474 def insert_transformed_feature(self, columns_to_tensors):
476 input_tensor = self._get_input_sparse_tensor(columns_to_tensors[self.name])
477 columns_to_tensors[self] = self._do_transform(input_tensor)
[all...] |
| feature_column_ops_test.py | [all...] |
| feature_column_test.py | 338 columns_to_tensors = {}
339 columns_to_tensors["ids"] = inputs
340 hash_column.insert_transformed_feature(columns_to_tensors)
341 self.assertEqual(len(columns_to_tensors), 2)
342 self.assertTrue(hash_column in columns_to_tensors)
346 columns_to_tensors[hash_column])
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_estimator.py | 44 def _add_bias_column(feature_columns, columns_to_tensors, bias_variable,
56 for column in columns_to_tensors.values():
71 columns_to_tensors[bias_column] = array_ops.ones(
149 columns_to_tensors=features,
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| linear.py | 72 def _add_bias_column(feature_columns, columns_to_tensors, bias_variable,
84 for column in columns_to_tensors.values():
99 columns_to_tensors[bias_column] = array_ops.ones([batch_size, 1],
160 columns_to_tensors=features,
247 columns_to_tensors=features,
[all...] |
| composable_model.py | 227 columns_to_tensors=features,
235 columns_to_tensors=features,
|
| dynamic_rnn_estimator.py | 194 columns_to_tensors=features,
200 columns_to_tensors=features,
|
| dnn_linear_combined.py | 239 columns_to_tensors=features,
294 columns_to_tensors=features,
301 columns_to_tensors=features,
[all...] |
| state_saving_rnn_estimator.py | 362 columns_to_tensors=sequence_features,
|
| dnn.py | 153 columns_to_tensors=features,
[all...] |
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| model.py | 272 columns_to_tensors=placeholder_features,
317 columns_to_tensors=exogenous_features_single_batch_dimension,
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| dnn_tree_combined_estimator.py | 139 columns_to_tensors=features,
|
