dataset_reuters

Reuters newswire topics classification

Description

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

Arguments	Description
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.