sklearn.datasets.load_mlcomp¶
- sklearn.datasets.load_mlcomp(name_or_id, set_='raw', mlcomp_root=None, **kwargs)[source]¶
Load a datasets as downloaded from http://mlcomp.org
Parameters: name_or_id : the integer id or the string name metadata of the MLComp
dataset to load
set_ : select the portion to load: ‘train’, ‘test’ or ‘raw’
mlcomp_root : 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 :
