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Fix typo in documentation #16082

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Feb 18, 2022
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Fix typo in documentation #16082

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2 changes: 1 addition & 1 deletion keras/layers/preprocessing/text_vectorization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -389,7 +389,7 @@ def adapt(self, data, batch_size=None, steps=None):
During `adapt()`, the layer will build a vocabulary of all string tokens
seen in the dataset, sorted by occurance count, with ties broken by sort
order of the tokens (high to low). At the end of `adapt()`, if `max_tokens`
is set, the voculary wil be truncated to `max_tokens` size. For example,
is set, the vocabulary wil be truncated to `max_tokens` size. For example,
adapting a layer with `max_tokens=1000` will compute the 1000 most frequent
tokens occurring in the input dataset. If `output_mode='tf-idf'`, `adapt()`
will also learn the document frequencies of each token in the input dataset.
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