Delete all the content of the data home cache.
Dump the dataset in svmlight / libsvm file format.
Load the filenames and data from the 20 newsgroups dataset (classification).
Load and vectorize the 20 newsgroups dataset (classification).
Load the California housing dataset (regression).
Load the covertype dataset (classification).
Fetch a file from the web if not already present in the local folder.
Load the kddcup99 dataset (classification).
Load the Labeled Faces in the Wild (LFW) pairs dataset (classification).
Load the Labeled Faces in the Wild (LFW) people dataset (classification).
Load the Olivetti faces data-set from AT&T (classification).
Fetch dataset from openml by name or dataset id.
Load the RCV1 multilabel dataset (classification).
Loader for species distribution dataset from Phillips et.
Return the path of the scikit-learn data directory.
Load and return the breast cancer Wisconsin dataset (classification).
Load and return the diabetes dataset (regression).
Load and return the digits dataset (classification).
Load text files with categories as subfolder names.
Load and return the iris dataset (classification).
Load and return the physical exercise Linnerud dataset.
Load the numpy array of a single sample image.
Load sample images for image manipulation.
Load datasets in the svmlight / libsvm format into sparse CSR matrix.
Load dataset from multiple files in SVMlight format.
Load and return the wine dataset (classification).
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