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. Read more in the :ref:`User Guide <datasets>`. :

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 :

Examples using sklearn.datasets.load_mlcomp

Classification of text documents: using a MLComp dataset