dataset_reuters.RdDataset 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).
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")
| path | Where to cache the data (relative to |
|---|---|
| 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 |
| index_from | index actual words with this index and higher. |
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.
Other datasets: dataset_boston_housing,
dataset_cifar100,
dataset_cifar10,
dataset_fashion_mnist,
dataset_imdb, dataset_mnist