sklearn.datasets.fetch_rcv1

sklearn.datasets.fetch_rcv1(*, data_home=None, subset='all', download_if_missing=True, random_state=None, shuffle=False, return_X_y=False)

Load the RCV1 multilabel dataset (classification).

Download it if necessary.

Version: RCV1-v2, vectors, full sets, topics multilabels.

Classes	103
Samples total	804414
Dimensionality	47236
Features	real, between 0 and 1

Read more in the User Guide.

New in version 0.17.

Parameters:

data_homestr, default=None

Specify another download and cache folder for the datasets. By default all scikit-learn data is stored in ‘~/scikit_learn_data’ subfolders.

subset{‘train’, ‘test’, ‘all’}, default=’all’

Select the dataset to load: ‘train’ for the training set (23149 samples), ‘test’ for the test set (781265 samples), ‘all’ for both, with the training samples first if shuffle is False. This follows the official LYRL2004 chronological split.

download_if_missingbool, default=True

If False, raise a IOError if the data is not locally available instead of trying to download the data from the source site.

random_stateint, RandomState instance or None, default=None

Determines random number generation for dataset shuffling. Pass an int for reproducible output across multiple function calls. See Glossary.

shufflebool, default=False

Whether to shuffle dataset.

return_X_ybool, default=False

If True, returns (dataset.data, dataset.target) instead of a Bunch object. See below for more information about the dataset.data and dataset.target object.

New in version 0.20.

Returns:

datasetBunch

Dictionary-like object. Returned only if return_X_y is False. dataset has the following attributes:

• datasparse matrix of shape (804414, 47236), dtype=np.float64

  The array has 0.16% of non zero values. Will be of CSR format.

• targetsparse matrix of shape (804414, 103), dtype=np.uint8

  Each sample has a value of 1 in its categories, and 0 in others. The array has 3.15% of non zero values. Will be of CSR format.

• sample_idndarray of shape (804414,), dtype=np.uint32,

  Identification number of each sample, as ordered in dataset.data.

• target_namesndarray of shape (103,), dtype=object

  Names of each target (RCV1 topics), as ordered in dataset.target.

• DESCRstr

  Description of the RCV1 dataset.

(data, target)tuple

A tuple consisting of dataset.data and dataset.target, as described above. Returned only if return_X_y is True.

New in version 0.20.