unique_labels (original) (raw)

sklearn.utils.multiclass.unique_labels(*ys)[source]#

Extract an ordered array of unique labels.

We don’t allow:

• mix of multilabel and multiclass (single label) targets
• mix of label indicator matrix and anything else, because there are no explicit labels)
• mix of label indicator matrices of different sizes
• mix of string and integer labels

At the moment, we also don’t allow “multiclass-multioutput” input type.

Parameters:

*ysarray-likes

Label values.

Returns:

outndarray of shape (n_unique_labels,)

An ordered array of unique labels.

Examples

from sklearn.utils.multiclass import unique_labels unique_labels([3, 5, 5, 5, 7, 7]) array([3, 5, 7]) unique_labels([1, 2, 3, 4], [2, 2, 3, 4]) array([1, 2, 3, 4]) unique_labels([1, 2, 10], [5, 11]) array([ 1, 2, 5, 10, 11])