Load and return the diabetes dataset (regression).

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

data : Bunch

Dictionary-like object, the interesting attributes are: ‘data’, the data to learn and ‘target’, the regression target for each sample.


This function has been auto-generated by wrapping load_diabetes() from the sklearn package. The documentation of this function has been kept verbatim. Consequently, the actual return value is not as described in the documentation, but the data is returned as a PyMVPA dataset.