Load and return the wine dataset (classification).
New in version 0.18.
The wine dataset is a classic and very easy multi-class classification dataset.
Samples per class
Read more in the User Guide.
- return_X_yboolean, default=False.
If True, returns
(data, target)instead of a Bunch object. See below for more information about the
Dictionary-like object, the interesting attributes are: ‘data’, the data to learn, ‘target’, the classification labels, ‘target_names’, the meaning of the labels, ‘feature_names’, the meaning of the features, and ‘DESCR’, the full description of the dataset.
- (data, target)tuple if
- The copy of UCI ML Wine Data Set dataset is downloaded and modified to fit
- standard format from:
Let’s say you are interested in the samples 10, 80, and 140, and want to know their class name.
>>> from sklearn.datasets import load_wine >>> data = load_wine() >>> data.target[[10, 80, 140]] array([0, 1, 2]) >>> list(data.target_names) ['class_0', 'class_1', 'class_2']