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
.
See Also
Other datasets: dataset_boston_housing()
, dataset_cifar100()
, dataset_cifar10()
, dataset_fashion_mnist()
, dataset_imdb()
, dataset_mnist()