sklearn.utils.multiclass.unique_labels

sklearn.utils.multiclass.unique_labels(*ys)

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:

*ys : array-likes

Returns:

out : numpy array 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])

Examples using sklearn.utils.multiclass.unique_labels

Confusion matrix