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sklearn.datasets.load_mlcomp(name_or_id, set_='raw', mlcomp_root=None, **kwargs)
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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 :
sklearn.datasets.load_mlcomp()
Examples using
2017-01-15 04:25:49
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