/external/tensorflow/tensorflow/python/keras/feature_column/ |
D | dense_features_v2.py | 62 feature_columns, argument 84 feature_columns=feature_columns,
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D | dense_features.py | 70 feature_columns, argument 94 feature_columns=feature_columns,
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D | sequence_feature_column.py | 86 feature_columns, argument 106 feature_columns=feature_columns,
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D | base_feature_layer.py | 52 feature_columns, argument 61 feature_columns)
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D | dense_features_v2_test.py | 187 df.DenseFeatures(feature_columns=[])(features={}) 191 df.DenseFeatures(feature_columns=[ 201 df.DenseFeatures(feature_columns={'a': fc.numeric_column('a')})( 231 feature_columns=[fc.numeric_column('a'),
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D | dense_features_test.py | 207 df.DenseFeatures(feature_columns=[])(features={}) 211 df.DenseFeatures(feature_columns=[ 221 df.DenseFeatures(feature_columns={'a': fc.numeric_column('a')})( 251 feature_columns=[fc.numeric_column('a'), 981 feature_columns=(embedding_column_b, embedding_column_a,
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/external/tensorflow/tensorflow/python/feature_column/ |
D | feature_column.py | 172 feature_columns, argument 181 feature_columns = _normalize_feature_columns(feature_columns) 182 for column in feature_columns: 198 for column in sorted(feature_columns, key=lambda x: x.name): 235 feature_columns, argument 298 feature_columns, 313 feature_columns, argument 321 self._feature_columns = feature_columns 333 feature_columns=self._feature_columns, 370 feature_columns, argument [all …]
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D | feature_column_v2.py | 381 def _transform_features_v2(features, feature_columns, state_manager): argument 415 feature_columns = _normalize_feature_columns(feature_columns) 420 for column in feature_columns: 429 def make_parse_example_spec_v2(feature_columns): argument 476 for column in feature_columns: 2153 def is_feature_column_v2(feature_columns): argument 2155 for feature_column in feature_columns: 2490 def _normalize_feature_columns(feature_columns): argument 2506 if isinstance(feature_columns, FeatureColumn): 2507 feature_columns = [feature_columns] [all …]
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D | serialization.py | 146 def serialize_feature_columns(feature_columns): argument 162 return [serialize_feature_column(fc) for fc in feature_columns]
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/external/tensorflow/tensorflow/python/debug/examples/v1/ |
D | debug_tflearn_iris.py | 48 feature_columns = [tf.feature_column.numeric_column("features", shape=(4,))] 54 feature_columns=feature_columns,
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | feature_columns_integration_test.py | 36 def __init__(self, feature_columns, units, name=None, **kwargs): argument 38 self._input_layer = df.DenseFeatures(feature_columns, name='input_layer') 101 feature_columns = [] 105 feature_columns.append(age_buckets) 114 feature_columns.append(crossed_feature) 116 feature_layer = df.DenseFeatures(feature_columns)
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.feature_column.pbtxt | 37 …argspec: "args=[\'features\', \'feature_columns\', \'weight_collections\', \'trainable\', \'cols_t… 41 …argspec: "args=[\'features\', \'feature_columns\', \'units\', \'sparse_combiner\', \'weight_collec… 45 argspec: "args=[\'feature_columns\'], varargs=None, keywords=None, defaults=None"
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D | tensorflow.estimator.experimental.pbtxt | 25 …argspec: "args=[\'units\', \'hidden_units\', \'feature_columns\', \'activation_fn\', \'dropout\', … 29 …argspec: "args=[\'units\', \'feature_columns\', \'sparse_combiner\'], varargs=None, keywords=None,…
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D | tensorflow.estimator.experimental.-linear-s-d-c-a.pbtxt | 11 …'self\', \'state_manager\', \'weight_column_name\', \'loss_type\', \'feature_columns\', \'features…
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D | tensorflow.estimator.pbtxt | 233 …argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'weight_c… 237 …argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'label_di…
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D | tensorflow.estimator.tpu.experimental.-embedding-config-spec.pbtxt | 15 name: "feature_columns"
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D | tensorflow.estimator.-linear-estimator.pbtxt | 24 …argspec: "args=[\'self\', \'head\', \'feature_columns\', \'model_dir\', \'optimizer\', \'config\',…
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.estimator.experimental.-linear-s-d-c-a.pbtxt | 11 …'self\', \'state_manager\', \'weight_column_name\', \'loss_type\', \'feature_columns\', \'features…
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D | tensorflow.estimator.pbtxt | 225 …argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'weight_c… 229 …argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'label_di…
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D | tensorflow.estimator.-linear-estimator.pbtxt | 25 …argspec: "args=[\'self\', \'head\', \'feature_columns\', \'model_dir\', \'optimizer\', \'config\',…
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D | tensorflow.estimator.-linear-regressor.pbtxt | 25 …argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column…
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D | tensorflow.estimator.-d-n-n-estimator.pbtxt | 25 …argspec: "args=[\'self\', \'head\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'optimi…
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D | tensorflow.estimator.-d-n-n-classifier.pbtxt | 25 …argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'n_classes\', \'w…
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D | tensorflow.estimator.-d-n-n-regressor.pbtxt | 25 …argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'label_dimension\…
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D | tensorflow.estimator.-linear-classifier.pbtxt | 25 …argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'n_classes\', \'weight_column\', \'…
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