/external/tensorflow/tensorflow/python/feature_column/ |
D | serialization_test.py | 224 def test_get_config(self, units, sparse_combiner, trainable, name): argument 228 cols, units=units, sparse_combiner=sparse_combiner, 235 self.assertEqual(config['sparse_combiner'], sparse_combiner) 246 def test_from_config(self, units, sparse_combiner, trainable, name): argument 253 cols, units=units, sparse_combiner=sparse_combiner, 261 self.assertEqual(new_layer._sparse_combiner, sparse_combiner)
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D | feature_column.py | 373 sparse_combiner='sum', argument 497 sparse_combiner=sparse_combiner, 538 sparse_combiner='sum', argument 547 self._sparse_combiner = sparse_combiner 573 sparse_combiner=self._sparse_combiner, 628 sparse_combiner='sum', argument 650 column_layer = _FCLinearWrapper(column, units, sparse_combiner, 1916 sparse_combiner, argument 1926 sparse_combiner=sparse_combiner, 2014 sparse_combiner, argument [all …]
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D | feature_column_v2.py | 484 sparse_combiner='sum', argument 499 self._sparse_combiner = sparse_combiner 562 sparse_combiner=self._sparse_combiner, 643 sparse_combiner='sum', argument 708 sparse_combiner, 2467 sparse_combiner, weight_var): argument 2474 sparse_combiner=sparse_combiner, 2532 column, transformation_cache, state_manager, sparse_combiner, weight_var): argument 2575 combiner=sparse_combiner,
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D | feature_column_test.py | 1317 sparse_combiner='sum', argument 1324 sparse_combiner, 1561 features, [wire_cast], sparse_combiner='mean') 1583 features, [wire_cast_weights], sparse_combiner='sum') 2250 features, [wire_cast], sparse_combiner='mean') 6492 sparse_combiner='mean') 6591 sparse_combiner='mean')
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D | feature_column_v2_test.py | 1886 model = fc.LinearModel([wire_cast], sparse_combiner='mean') 1902 model = fc.LinearModel([wire_cast], sparse_combiner='sqrtn') 1923 model = fc.LinearModel([wire_cast_weights], sparse_combiner='sum') 2577 features, [wire_cast], sparse_combiner='mean') 2599 features, [wire_cast_weights], sparse_combiner='sum') 7758 model = fc.LinearModel((column,), sparse_combiner='mean') 7873 sparse_combiner='mean')
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.estimator.experimental.pbtxt | 29 …argspec: "args=[\'units\', \'feature_columns\', \'sparse_combiner\'], varargs=None, keywords=None,…
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D | tensorflow.estimator.-linear-estimator.pbtxt | 24 …umns\', \'model_dir\', \'optimizer\', \'config\', \'partitioner\', \'sparse_combiner\'], varargs=N…
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D | tensorflow.estimator.-linear-regressor.pbtxt | 24 …onfig\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=N…
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D | tensorflow.estimator.-linear-classifier.pbtxt | 24 …onfig\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=N…
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D | tensorflow.feature_column.pbtxt | 41 …argspec: "args=[\'features\', \'feature_columns\', \'units\', \'sparse_combiner\', \'weight_collec…
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.estimator.-linear-estimator.pbtxt | 25 …\', \'feature_columns\', \'model_dir\', \'optimizer\', \'config\', \'sparse_combiner\'], varargs=N…
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D | tensorflow.estimator.-linear-regressor.pbtxt | 25 …'optimizer\', \'config\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=N…
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D | tensorflow.estimator.-linear-classifier.pbtxt | 25 …'optimizer\', \'config\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=N…
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/external/tensorflow/ |
D | RELEASE.md | 1489 * Support sparse_combiner in canned Linear Estimators.
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