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Fix integer/string in Integer/String Lookup docstrings

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This commit is contained in:
Albert Villanova del Moral 2020-10-27 09:48:56 +01:00
parent 9c38a2aeb7
commit f771cf883c
2 changed files with 4 additions and 4 deletions
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6
tensorflow/python/keras/layers/preprocessing/index_lookup.py
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@ -50,8 +50,8 @@ class IndexLookup(base_preprocessing_layer.CombinerPreprocessingLayer):
logic but is not intended to be exported as part of the Keras API.
If desired, the user can call this layer's `adapt()` method on a data set,
which will analyze the data set, determine the frequency of individual string
values, and create a vocabulary from them. This vocabulary can have
which will analyze the data set, determine the frequency of individual
hashable values, and create a vocabulary from them. This vocabulary can have
unlimited size or be capped, depending on the configuration options for this
layer; if there are more unique values in the input than the maximum
vocabulary size, the most frequent terms will be used to create the
@ -351,7 +351,7 @@ class IndexLookup(base_preprocessing_layer.CombinerPreprocessingLayer):
layer, this method will either replace it
Arguments:
vocab: An array of string tokens.
vocab: An array of hashable tokens.
Raises:
ValueError: If there are too many inputs, the inputs do not match, or

2
tensorflow/python/keras/layers/preprocessing/integer_lookup.py
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@ -32,7 +32,7 @@ class IntegerLookup(index_lookup.IndexLookup):
table-based lookup, with optional out-of-vocabulary handling.
If desired, the user can call this layer's `adapt()` method on a data set,
which will analyze the data set, determine the frequency of individual string
which will analyze the data set, determine the frequency of individual integer
values, and create a vocabulary from them. This vocabulary can have
unlimited size or be capped, depending on the configuration options for this
layer; if there are more unique values in the input than the maximum