/external/tensorflow/tensorflow/python/feature_column/ |
D | sequence_feature_column.py | 362 key, vocabulary_list, dtype=None, default_value=-1, num_oov_buckets=0): 416 vocabulary_list=vocabulary_list,
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D | feature_column.py | 1262 vocabulary_list, 1341 if (vocabulary_list is None) or (len(vocabulary_list) < 1): 1344 vocabulary_list, key)) 1345 if len(set(vocabulary_list)) != len(vocabulary_list): 1348 vocabulary_list, key)) 1349 vocabulary_dtype = dtypes.as_dtype(np.array(vocabulary_list).dtype) 1370 key=key, vocabulary_list=tuple(vocabulary_list), dtype=dtype, 2787 vocabulary_list=tuple(self.vocabulary_list), 2796 return len(self.vocabulary_list) + self.num_oov_buckets
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D | feature_column_test.py | 1895 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 1931 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 1933 'country', vocabulary_list=['US', 'JP', 'CA']) 2532 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 2574 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 2576 'country', vocabulary_list=['US', 'JP', 'CA']) 3152 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 3157 'country', vocabulary_list=['US', 'JP', 'CA']) 3203 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 3208 'country', vocabulary_list=['US', 'JP', 'CA']) [all …]
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D | feature_column_v2_test.py | 2136 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 2175 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 2215 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 2217 'country', vocabulary_list=['US', 'JP', 'CA']) 2898 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 2939 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 2941 'country', vocabulary_list=['US', 'JP', 'CA']) 3629 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 3676 'body-style', vocabulary_list=['hardtop', 'wagon', 'sedan']) 3681 'country', vocabulary_list=['US', 'JP', 'CA']) [all …]
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D | feature_column_v2.py | 1695 vocabulary_list, 1774 if (vocabulary_list is None) or (len(vocabulary_list) < 1): 1777 vocabulary_list, key)) 1778 if len(set(vocabulary_list)) != len(vocabulary_list): 1781 vocabulary_list, key)) 1782 vocabulary_dtype = dtypes.as_dtype(np.array(vocabulary_list).dtype) 1804 vocabulary_list=tuple(vocabulary_list), 3679 vocabulary_list=tuple(self.vocabulary_list), 3700 return len(self.vocabulary_list) + self.num_oov_buckets
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D | sequence_feature_column_test.py | 903 vocabulary_list=('omar', 'stringer', 'marlo'))
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/external/tensorflow/tensorflow/contrib/feature_column/python/feature_column/ |
D | sequence_feature_column.py | 334 key, vocabulary_list, dtype=None, default_value=-1, num_oov_buckets=0): 386 vocabulary_list=vocabulary_list,
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D | sequence_feature_column_test.py | 853 vocabulary_list=('omar', 'stringer', 'marlo'))
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.feature_column.pbtxt | 21 …argspec: "args=[\'key\', \'vocabulary_list\', \'dtype\', \'default_value\', \'num_oov_buckets\'], … 57 …argspec: "args=[\'key\', \'vocabulary_list\', \'dtype\', \'default_value\', \'num_oov_buckets\'], …
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/external/tensorflow/tensorflow/python/ops/ |
D | lookup_ops.py | 1274 def index_table_from_tensor(vocabulary_list, argument 1331 if vocabulary_list is None: 1342 keys = ops.convert_to_tensor(vocabulary_list) 1461 def index_to_string_table_from_tensor(vocabulary_list, argument 1508 if vocabulary_list is None: 1512 vocabulary_list = ops.convert_to_tensor(vocabulary_list, dtypes.string) 1513 num_elements = array_ops.size(vocabulary_list) 1517 keys, vocabulary_list, dtypes.int64, dtypes.string, name="table_init")
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/external/tensorflow/tensorflow/contrib/lookup/ |
D | lookup_ops.py | 132 vocabulary_list=mapping, 239 vocabulary_list=mapping, default_value=default_value, name=name)
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.feature_column.pbtxt | 21 …argspec: "args=[\'key\', \'vocabulary_list\', \'dtype\', \'default_value\', \'num_oov_buckets\'], … 65 …argspec: "args=[\'key\', \'vocabulary_list\', \'dtype\', \'default_value\', \'num_oov_buckets\'], …
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/external/tensorflow/tensorflow/examples/get_started/regression/ |
D | linear_regression_categorical.py | 65 key="body-style", vocabulary_list=body_style_vocab)
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D | dnn_regression.py | 62 key="body-style", vocabulary_list=body_style_vocab)
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D | custom_regression.py | 117 key="body-style", vocabulary_list=body_style_vocab)
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | lookup_ops_test.py | 1901 vocabulary_list=("brain", "salad", "surgery"), num_oov_buckets=1) 1910 vocabulary_list=("brain", "salad", "surgery"), num_oov_buckets=1) 1918 vocabulary_list=(42, 1, -1000), num_oov_buckets=1, dtype=dtypes.int32) 1931 vocabulary_list=(42, 1, -1000), num_oov_buckets=1, dtype=dtypes.int64) 1945 vocabulary_list=["brain", "salad", "surgery"], 1960 vocabulary_list=None, num_oov_buckets=1) 1967 vocabulary_list=np.array([], dtype=np.str_), num_oov_buckets=1) 1974 vocabulary_list=["brain", "salad", "surgery"], 1979 vocabulary_list=["brain", "salad", "surgery"], 2104 vocabulary_list = constant_op.constant(["brain", "salad", "surgery"]) [all …]
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/external/tensorflow/tensorflow/contrib/timeseries/examples/ |
D | known_anomaly.py | 90 key="is_changepoint", vocabulary_list=["no", "yes"])
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/external/tensorflow/tensorflow/python/training/ |
D | warm_starting_util_test.py | 759 "sc_keys", vocabulary_list=["a", "b", "c", "e"]) 852 "sc_keys", vocabulary_list=["a", "b", "c", "e"]) 920 "sc_keys", vocabulary_list=["a", "b", "c", "e"]) 979 "sc_keys", vocabulary_list=["a", "b", "c", "e"])
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/external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
D | estimator_test.py | 624 key="word", vocabulary_list=["the", "cat", "dog"]),
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