Load and return the linnerud dataset (multivariate regression).

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


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’.


This function has been auto-generated by wrapping load_linnerud() 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.