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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.
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,
corresponding to its line number. All other values are hashed and assigned an
ID 50-54.
@ -1604,8 +1604,8 @@ def categorical_column_with_vocabulary_file_v2(key,
```
Example with `default_value`:
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'
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'`
in input, and other values missing from the file, will be assigned ID 0. All
others are assigned the corresponding line number 1-50.