| /external/tensorflow/tensorflow/python/feature_column/ |
| D | feature_column.py | 372 sparse_combiner='sum', argument
491 sparse_combiner=sparse_combiner,
532 sparse_combiner='sum', argument
541 self._sparse_combiner = sparse_combiner
567 sparse_combiner=self._sparse_combiner,
622 sparse_combiner='sum', argument
644 column_layer = _FCLinearWrapper(column, units, sparse_combiner,
1858 sparse_combiner, argument
1868 sparse_combiner=sparse_combiner,
1956 sparse_combiner, argument
[all …]
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| D | feature_column_v2.py | 488 sparse_combiner='sum', argument
503 self._sparse_combiner = sparse_combiner
564 sparse_combiner=self._sparse_combiner,
619 sparse_combiner='sum', argument
684 sparse_combiner,
2351 sparse_combiner, weight_var): argument
2358 sparse_combiner=sparse_combiner,
2416 column, transformation_cache, state_manager, sparse_combiner, weight_var): argument
2459 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')
6450 sparse_combiner='mean')
6549 sparse_combiner='mean')
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| D | feature_column_v2_test.py | 1833 model = fc.LinearModel([wire_cast], sparse_combiner='mean')
1849 model = fc.LinearModel([wire_cast], sparse_combiner='sqrtn')
1870 model = fc.LinearModel([wire_cast_weights], sparse_combiner='sum')
2564 features, [wire_cast], sparse_combiner='mean')
2586 features, [wire_cast_weights], sparse_combiner='sum')
8130 model = fc.LinearModel((column,), sparse_combiner='mean')
8245 sparse_combiner='mean')
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.estimator.experimental.pbtxt | 25 …argspec: "args=[\'units\', \'feature_columns\', \'sparse_combiner\'], varargs=None, keywords=None,…
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| D | tensorflow.estimator.-linear-estimator.pbtxt | 24 …\', \'feature_columns\', \'model_dir\', \'optimizer\', \'config\', \'sparse_combiner\'], varargs=N…
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| D | tensorflow.estimator.-linear-regressor.pbtxt | 24 …'optimizer\', \'config\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=N…
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| D | tensorflow.estimator.-linear-classifier.pbtxt | 24 …'optimizer\', \'config\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=N…
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| D | tensorflow.keras.layers.-linear-model.pbtxt | 123 …argspec: "args=[\'self\', \'feature_columns\', \'units\', \'sparse_combiner\', \'trainable\', \'na…
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.estimator.experimental.pbtxt | 25 …argspec: "args=[\'units\', \'feature_columns\', \'sparse_combiner\'], varargs=None, keywords=None,…
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| D | tensorflow.estimator.-linear-estimator.pbtxt | 25 …umns\', \'model_dir\', \'optimizer\', \'config\', \'partitioner\', \'sparse_combiner\'], varargs=N…
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| D | tensorflow.estimator.-linear-classifier.pbtxt | 25 …onfig\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=N…
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| D | tensorflow.estimator.-linear-regressor.pbtxt | 25 …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/ |
| D | RELEASE.md | 330 * Support sparse_combiner in canned Linear Estimators.
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