sklearn.datasets.load_mlcomp

sklearn.datasets.load_mlcomp(name_or_id, set_=’raw’, mlcomp_root=None, **kwargs) [source]

DEPRECATED: since the http://mlcomp.org/ website will shut down in March 2017, the load_mlcomp function was deprecated in version 0.19 and will be removed in 0.21.

Load a datasets as downloaded from http://mlcomp.org

Read more in the User Guide.

Parameters:

name_or_id : int or str The integer id or the string name metadata of the MLComp dataset to load set\_ : str, default=’raw’ Select the portion to load: ‘train’, ‘test’ or ‘raw’ mlcomp_root : str, optional The filesystem path to the root folder where MLComp datasets are stored, if mlcomp_root is None, the MLCOMP_DATASETS_HOME environment variable is looked up instead. **kwargs : domain specific kwargs to be passed to the dataset loader.

Returns:

data : Bunch Dictionary-like object, the interesting attributes are: ‘filenames’, the files holding the raw to learn, ‘target’, the classification labels (integer index), ‘target_names’, the meaning of the labels, and ‘DESCR’, the full description of the dataset. Note on the lookup process: depending on the type of name_or_id, will choose between integer id lookup or metadata name lookup by looking at the unzipped archives and metadata file. TODO: implement zip dataset loading too