/external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
D | sdca_estimator_test.py | 134 'country', hash_bucket_size=5) 164 'country', hash_bucket_size=5) 197 'age', hash_bucket_size=10) 199 'gender', hash_bucket_size=10) 227 'language', hash_bucket_size=5) 229 'country', hash_bucket_size=5) 231 [language, country], hash_bucket_size=10) 264 'country', hash_bucket_size=5) 266 [sq_footage_bucket, country], hash_bucket_size=10) 303 'country', hash_bucket_size=5) [all …]
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/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | feature_column_test.py | 86 a = fc.sparse_column_with_hash_bucket("aaa", hash_bucket_size=100) 91 a = fc.sparse_column_with_hash_bucket("aaa", hash_bucket_size=100) 96 "aaa", hash_bucket_size=100, dtype=dtypes.int64) 102 "aaa", hash_bucket_size=100, dtype=dtypes.float32) 148 "aaa", hash_bucket_size=100, combiner="sum") 156 "aaa", hash_bucket_size=100, combiner="sum") 323 "b", hash_bucket_size=100, combiner="sum") 388 column_name="ids", hash_bucket_size=10, hash_keys=hash_keys) 410 column_name="ids", hash_bucket_size=100, hash_keys=[]) 415 column_name="ids", hash_bucket_size=100, hash_keys=1) [all …]
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D | feature_column_ops_test.py | 421 "language", hash_bucket_size=3) 423 "country", hash_bucket_size=5) 425 [language, country], hash_bucket_size=15) 453 "country", hash_bucket_size=5) 455 [country, price_bucket], hash_bucket_size=15) 477 "country", hash_bucket_size=5) 482 [country, price_bucket], hash_bucket_size=1000) 515 "country", hash_bucket_size=5) 517 [country, price_bucket], hash_bucket_size=15) 520 [wire, country_price], hash_bucket_size=15) [all …]
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D | feature_column.py | 609 hash_bucket_size, argument 647 bucket_size=hash_bucket_size, 2281 hash_bucket_size, argument 2293 if hash_bucket_size < 2: 2295 "hash_bucket_size: {}".format(hash_bucket_size)) 2304 hash_bucket_size, hash_key, 2324 return self.hash_bucket_size 2390 num_buckets=self.hash_bucket_size, 2434 def crossed_column(columns, hash_bucket_size, combiner="sum", argument 2475 hash_bucket_size,
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | linear_test.py | 197 'language', hash_bucket_size=20) 258 'language', hash_bucket_size=20) 485 'language', hash_bucket_size=2e7) 825 'country', hash_bucket_size=5) 856 'country', hash_bucket_size=5) 919 'language', hash_bucket_size=5) 921 'country', hash_bucket_size=5) 923 [language, country], hash_bucket_size=10) 957 'country', hash_bucket_size=5) 959 [sq_footage_bucket, country], hash_bucket_size=10) [all …]
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D | dnn_test.py | 266 'language', hash_bucket_size=20) 383 'language', hash_bucket_size=20) 427 'language', hash_bucket_size=20) 474 'language', hash_bucket_size=20) 582 'language', hash_bucket_size=20) 721 'language', hash_bucket_size=20) 767 'language', hash_bucket_size=20) 888 'language', hash_bucket_size=20) 937 'language', hash_bucket_size=2e7) 1118 'language', hash_bucket_size=20) [all …]
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D | svm_test.py | 185 'country', hash_bucket_size=5) 243 'country', hash_bucket_size=5) 245 [sq_footage_bucket, country], hash_bucket_size=10)
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D | dnn_linear_combined_test.py | 327 'language', hash_bucket_size=20) 413 'dummy_sparse_column', hash_bucket_size=100)) 459 'dummy_sparse_column', hash_bucket_size=100)) 488 'language', hash_bucket_size=2e7) 567 'language', hash_bucket_size=20) 1356 'language', hash_bucket_size=20) 1395 'language', hash_bucket_size=20) 1556 'language', hash_bucket_size=20) 1638 'language', hash_bucket_size=2e7) 1688 'language', hash_bucket_size=20) [all …]
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.feature_column.pbtxt | 9 …argspec: "args=[\'key\', \'hash_bucket_size\', \'dtype\'], varargs=None, keywords=None, defaults=[… 25 …argspec: "args=[\'keys\', \'hash_bucket_size\', \'hash_key\'], varargs=None, keywords=None, defaul… 45 …argspec: "args=[\'key\', \'hash_bucket_size\', \'dtype\'], varargs=None, keywords=None, defaults=[…
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.feature_column.pbtxt | 9 …argspec: "args=[\'key\', \'hash_bucket_size\', \'dtype\'], varargs=None, keywords=None, defaults=[… 25 …argspec: "args=[\'keys\', \'hash_bucket_size\', \'hash_key\'], varargs=None, keywords=None, defaul… 53 …argspec: "args=[\'key\', \'hash_bucket_size\', \'dtype\'], varargs=None, keywords=None, defaults=[…
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/external/tensorflow/tensorflow/python/feature_column/ |
D | sequence_feature_column.py | 251 key, hash_bucket_size, dtype=dtypes.string): argument 291 hash_bucket_size=hash_bucket_size,
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D | feature_column.py | 1085 hash_bucket_size, argument 1128 if hash_bucket_size is None: 1131 if hash_bucket_size < 1: 1134 hash_bucket_size, key)) 1139 return _HashedCategoricalColumn(key, hash_bucket_size, dtype) 1550 def _crossed_column(keys, hash_bucket_size, hash_key=None): argument 1654 if not hash_bucket_size or hash_bucket_size < 1: 1656 'hash_bucket_size: {}'.format(hash_bucket_size)) 1673 keys=tuple(keys), hash_bucket_size=hash_bucket_size, 2685 sparse_values, self.hash_bucket_size, name='lookup') [all …]
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D | feature_column_v2.py | 1425 hash_bucket_size, argument 1468 if hash_bucket_size is None: 1471 if hash_bucket_size < 1: 1474 hash_bucket_size, key)) 1479 return HashedCategoricalColumn(key, hash_bucket_size, dtype) 1990 def crossed_column(keys, hash_bucket_size, hash_key=None): argument 2094 if not hash_bucket_size or hash_bucket_size < 1: 2096 'hash_bucket_size: {}'.format(hash_bucket_size)) 2114 keys=tuple(keys), hash_bucket_size=hash_bucket_size, hash_key=hash_key) 3459 sparse_values, self.hash_bucket_size, name='lookup') [all …]
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D | feature_column_v2_test.py | 474 a = fc.categorical_column_with_hash_bucket('aaa', hash_bucket_size=10) 843 self.assertEqual(10, a.hash_bucket_size) 871 self.assertEqual(10, column.hash_bucket_size) 1186 self.assertEqual(15, crossed2_copy.hash_bucket_size) 1223 hash_bucket_size = 10 1225 hash_bucket_size) 1241 self.assertIn(val, list(range(hash_bucket_size))) 1291 crossed = fc.crossed_column([b, 'c'], hash_bucket_size=5, hash_key=5) 1324 crossed = fc.crossed_column([b, 'c'], hash_bucket_size=5, hash_key=5) 1387 crossed = fc.crossed_column([t, 'c'], hash_bucket_size=5, hash_key=5) [all …]
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D | sequence_feature_column_integration_test.py | 65 'bytes_list', hash_bucket_size=100)
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D | feature_column_test.py | 389 a = fc._categorical_column_with_hash_bucket('aaa', hash_bucket_size=10) 679 self.assertEqual(10, a.hash_bucket_size) 706 self.assertEqual(10, column.hash_bucket_size) 1008 self.assertEqual(15, crossed2_copy.hash_bucket_size) 1042 hash_bucket_size = 10 1044 hash_bucket_size) 1059 self.assertIn(val, list(range(hash_bucket_size))) 1107 crossed = fc._crossed_column([b, 'c'], hash_bucket_size=5, hash_key=5) 1138 crossed = fc._crossed_column([b, 'c'], hash_bucket_size=5, hash_key=5) 1192 crossed = fc._crossed_column([t, 'c'], hash_bucket_size=5, hash_key=5) [all …]
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/external/tensorflow/tensorflow/contrib/feature_column/python/feature_column/ |
D | sequence_feature_column.py | 231 key, hash_bucket_size, dtype=dtypes.string): argument 268 key=key, hash_bucket_size=hash_bucket_size, dtype=dtype))
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D | sequence_feature_column_integration_test.py | 65 'bytes_list', hash_bucket_size=100)
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/external/tensorflow/tensorflow/examples/get_started/regression/ |
D | linear_regression_categorical.py | 73 key="make", hash_bucket_size=50)
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D | dnn_regression.py | 64 key="make", hash_bucket_size=50)
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D | custom_regression.py | 119 key="make", hash_bucket_size=50)
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/external/tensorflow/tensorflow/python/training/ |
D | warm_starting_util_test.py | 563 "sc_hash", hash_bucket_size=15) 757 "sc_hash", hash_bucket_size=15) 764 cross = fc.crossed_column([sc_keys, sc_vocab], hash_bucket_size=20) 850 "sc_hash", hash_bucket_size=15) 918 "sc_hash", hash_bucket_size=15) 977 "sc_hash", hash_bucket_size=15)
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/external/tensorflow/tensorflow/contrib/kernel_methods/python/ |
D | kernel_estimators_test.py | 207 'country', hash_bucket_size=5)
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/external/tensorflow/tensorflow/contrib/timeseries/examples/ |
D | lstm.py | 193 key="categorical_exogenous_feature", hash_bucket_size=16)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/utils/ |
D | saved_model_export_utils_test.py | 690 "sparse_column", hash_bucket_size=100) 693 "sparse_column_for_embedding", hash_bucket_size=10),
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