tf.keras.datasets.reuters.get_word_index
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Retrieves a dict mapping words to their index in the Reuters dataset.
tf.keras.datasets.reuters.get_word_index(
path='reuters_word_index.json'
)
Actual word indices starts from 3, with 3 indices reserved for:
0 (padding), 1 (start), 2 (oov).
E.g. word index of 'the' is 1, but the in the actual training data, the
index of 'the' will be 1 + 3 = 4. Vice versa, to translate word indices in
training data back to words using this mapping, indices need to subtract 3.
Args |
|---|
path
|
where to cache the data (relative to ~/.keras/dataset).
|
Returns |
|---|
|
The word index dictionary. Keys are word strings, values are their
index.
|
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Last updated 2024-06-07 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-06-07 UTC."],[],[]]
View source on GitHub