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PR #18333: Typofixes for StringLookup documentation #18344

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PR #18333: Typofixes for StringLookup documentation #18344

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8 changes: 4 additions & 4 deletions keras/layers/preprocessing/string_lookup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@ class StringLookup(index_lookup.IndexLookup):

This layer translates a set of arbitrary strings into integer output via a
table-based vocabulary lookup. This layer will perform no splitting or
transformation of input strings. For a layer than can split and tokenize
transformation of input strings. For a layer that can split and tokenize
natural language, see the `tf.keras.layers.TextVectorization` layer.

The vocabulary for the layer must be either supplied on construction or
Expand Down Expand Up @@ -82,7 +82,7 @@ class StringLookup(index_lookup.IndexLookup):
indices. Defaults to `"[UNK]"`.
vocabulary: Optional. Either an array of strings or a string path to a
text file. If passing an array, can pass a tuple, list, 1D numpy array,
or 1D tensor containing the string vocbulary terms. If passing a file
or 1D tensor containing the string vocabulary terms. If passing a file
path, the file should contain one line per term in the vocabulary. If
this argument is set, there is no need to `adapt()` the layer.
idf_weights: Only valid when `output_mode` is `"tf_idf"`. A tuple, list,
Expand Down Expand Up @@ -114,13 +114,13 @@ class StringLookup(index_lookup.IndexLookup):
find the value in each token slot.
For `"int"` output, any shape of input and output is supported. For all
other output modes, currently only output up to rank 2 is supported.
Defaults to `"int"`
Defaults to `"int"`.
pad_to_max_tokens: Only applicable when `output_mode` is `"multi_hot"`,
`"count"`, or `"tf_idf"`. If True, the output will have its feature axis
padded to `max_tokens` even if the number of unique tokens in the
vocabulary is less than max_tokens, resulting in a tensor of shape
[batch_size, max_tokens] regardless of vocabulary size. Defaults to
False.
`False`.
sparse: Boolean. Only applicable when `output_mode` is `"multi_hot"`,
`"count"`, or `"tf_idf"`. If True, returns a `SparseTensor` instead of a
dense `Tensor`. Defaults to `False`.
Expand Down
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