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tf.feature_column.categorical_column_with_vocabulary_file defined in python/feature_column/feature_column_v2.py.
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Dustin Neighly 2019-04-06 12:49:11 -07:00 committed by GitHub
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tensorflow/python/feature_column/feature_column_v2.py
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@ -1589,7 +1589,7 @@ def categorical_column_with_vocabulary_file_v2(key,
and `''` for string, which will be dropped by this feature column. and `''` for string, which will be dropped by this feature column.
Example with `num_oov_buckets`: Example with `num_oov_buckets`:
File '/us/states.txt' contains 50 lines, each with a 2-character U.S. state File `'/us/states.txt'` contains 50 lines, each with a 2-character U.S. state
abbreviation. All inputs with values in that file are assigned an ID 0-49, abbreviation. All inputs with values in that file are assigned an ID 0-49,
corresponding to its line number. All other values are hashed and assigned an corresponding to its line number. All other values are hashed and assigned an
ID 50-54. ID 50-54.
@ -1604,8 +1604,8 @@ def categorical_column_with_vocabulary_file_v2(key,
``` ```
Example with `default_value`: Example with `default_value`:
File '/us/states.txt' contains 51 lines - the first line is 'XX', and the File `'/us/states.txt'` contains 51 lines - the first line is `'XX'`, and the
other 50 each have a 2-character U.S. state abbreviation. Both a literal 'XX' other 50 each have a 2-character U.S. state abbreviation. Both a literal `'XX'`
in input, and other values missing from the file, will be assigned ID 0. All in input, and other values missing from the file, will be assigned ID 0. All
others are assigned the corresponding line number 1-50. others are assigned the corresponding line number 1-50.