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

DEPRECATED: since the 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

Read more in the User Guide.
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.

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