View source on GitHub
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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 | |
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path
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where to cache the data (relative to ~/.keras/dataset).
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Returns | |
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| The word index dictionary. Keys are word strings, values are their index. |