sklearn.datasets.load_diabetes

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

Load and return the diabetes dataset (regression).

Samples total 442
Dimensionality 10
Features real, -.2 < x < .2
Targets integer 25 - 346

Read more in the User Guide.

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’, the data to learn, ‘target’, the regression target for each sample, ‘data_filename’, the physical location of diabetes data csv dataset, and ‘target_filename’, the physical location of diabetes targets csv datataset (added in version 0.20).

(data, target) : tuple if return_X_y is True

New in version 0.18.