Returns a list of the raw texts that can be fed to text feature The splitīetween the train and test set is based upon a messages posted before The 20 newsgroups dataset comprises around 18000 newsgroups posts onĢ0 topics split in two subsets: one for training (or development)Īnd the other one for testing (or for performance evaluation). When using these images, please give credit to AT&T Laboratories Cambridge. The original dataset consisted of 92 x 112, while the version available here Relatively small dataset is more interesting from an unsupervised or Identity of the person pictured however, with only 10 examples per class, this The “target” for this database is an integer from 0 to 39 indicating the Interval, which are easier to work with for many algorithms. Integers the loader will convert these to floating point values on the The image is quantized to 256 grey levels and stored as unsigned 8-bit _olivetti_faces function is the dataįetching / caching function that downloads the data This dataset contains a set of face images taken between April 1992 andĪpril 1994 at AT&T Laboratories Cambridge. Load the California housing dataset (regression). Load the kddcup99 dataset (classification).įetch_california_housing(*) Load the RCV1 multilabel dataset (classification).įetch_kddcup99(*) Load the covertype dataset (classification). Load the Labeled Faces in the Wild (LFW) pairs dataset (classification). Load the Labeled Faces in the Wild (LFW) people dataset (classification).įetch_lfw_pairs(*) Load and vectorize the 20 newsgroups dataset (classification).įetch_lfw_people(*) Load the filenames and data from the 20 newsgroups dataset (classification).įetch_20newsgroups_vectorized(*) Load the Olivetti faces data-set from AT&T (classification).įetch_20newsgroups(*) They can be loaded using the following functions:įetch_olivetti_faces(*) Scikit-learn provides tools to load larger datasets, downloading them if
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