sklearn.datasets.load_linnerud
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sklearn.datasets.load_linnerud(return_X_y=False)
[source]
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Load and return the linnerud dataset (multivariate regression).
Samples total | 20 |
Dimensionality | 3 (for both data and target) |
Features | integer |
Targets | integer |
Read more in the User Guide.
Parameters: |
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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. |
Returns: |
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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’. In addition, you will also have access to ‘data_filename’, the physical location of linnerud data csv dataset, and ‘target_filename’, the physical location of linnerud targets csv datataset (added in version 0.20 ). -
(data, target) : tuple if return_X_y is True -
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