sklearn.datasets.load_linnerud()

sklearn.datasets.load_linnerud(return_X_y=False) [source]

Load and return the linnerud dataset (multivariate regression).

Samples total: 20 Dimensionality: 3 for both data and targets Features: integer Targets: integer

Parameters:

Parameters:	return_X_y : boolean, default=False. If True, returns `(data, target)` instead of a Bunch object. See below for more information about the `data` and `target` object. New in version 0.18.
Returns:	data : Bunch Dictionary-like object, the interesting attributes are: ?data? and ?targets?, the two multivariate datasets, with ?data? corresponding to the exercise and ?targets? corresponding to the physiological measurements, as well as ?feature_names? and ?target_names?. (data, target) : tuple if `return_X_y` is True New in version 0.18.

return_X_y : boolean, default=False.

If True, returns (data, target) instead of a Bunch object. See below for more information about the data and target object.

New in version 0.18.

Returns:

data : Bunch

Dictionary-like object, the interesting attributes are: ?data? and ?targets?, the two multivariate datasets, with ?data? corresponding to the exercise and ?targets? corresponding to the physiological measurements, as well as ?feature_names? and ?target_names?.

(data, target) : tuple if return_X_y is True

New in version 0.18.

Links:

http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.html

doc_scikit_learn

2017-01-15 04:25:48

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