tf.keras.datasets.imdb.load_data

Loads the IMDB dataset.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.datasets.imdb.load_data

tf.keras.datasets.imdb.load_data(
    path='imdb.npz', num_words=None, skip_top=0, maxlen=None, seed=113,
    start_char=1, oov_char=2, index_from=3, **kwargs
)

Arguments
path	where to cache the data (relative to ~/.keras/dataset).
num_words	max number of words to include. Words are ranked by how often they occur (in the training set) and only the most frequent words are kept
skip_top	skip the top N most frequently occurring words (which may not be informative).
maxlen	sequences longer than this will be filtered out.
seed	random seed for sample shuffling.
start_char	The start of a sequence will be marked with this character. Set to 1 because 0 is usually the padding character.
oov_char	words that were cut out because of the num_words or skip_top limit will be replaced with this character.
index_from	index actual words with this index and higher.
**kwargs	Used for backwards compatibility.

Returns
Tuple of Numpy arrays: (x_train, y_train), (x_test, y_test).

Raises
ValueError	in case maxlen is so low that no input sequence could be kept.

Note that the 'out of vocabulary' character is only used for words that were present in the training set but are not included because they're not making the num_words cut here. Words that were not seen in the training set but are in the test set have simply been skipped.