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Reuters newswire topics classification

Source: R/datasets.R
dataset_reuters.Rd

Dataset of 11,228 newswires from Reuters, labeled over 46 topics. As with dataset_imdb() , each wire is encoded as a sequence of word indexes (same conventions).

Usage

dataset_reuters(
  path = "reuters.npz",
  num_words = NULL,
  skip_top = 0L,
  maxlen = NULL,
  test_split = 0.2,
  seed = 113L,
  start_char = 1L,
  oov_char = 2L,
  index_from = 3L
)

dataset_reuters_word_index(path = "reuters_word_index.pkl")

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 occuring words (which may not be informative).

maxlen

Truncate sequences after this length.

test_split

Fraction of the dataset to be used as test data.

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.

Value

Lists of training and test data: train$x, train$y, test$x, test$y with same format as dataset_imdb(). The dataset_reuters_word_index() function returns a list where the names are words and the values are integer. e.g. word_index[["giraffe"]] might return 1234.

See also

Other datasets:
dataset_boston_housing()
dataset_california_housing()
dataset_cifar10()
dataset_cifar100()
dataset_fashion_mnist()
dataset_imdb()
dataset_mnist()