sklearn.utils.multiclass.is_multilabel — scikit-learn 0.20.4 documentation (original) (raw)
sklearn.utils.multiclass. is_multilabel(y)[source]¶
Check if y is in a multilabel format.
| Parameters: | y : numpy array of shape [n_samples] Target values. |
|---|---|
| Returns: | out : bool, Return True, if y is in a multilabel format, else `False. |
Examples
import numpy as np from sklearn.utils.multiclass import is_multilabel is_multilabel([0, 1, 0, 1]) False is_multilabel([[1], [0, 2], []]) False is_multilabel(np.array([[1, 0], [0, 0]])) True is_multilabel(np.array([[1], [0], [0]])) False is_multilabel(np.array([[1, 0, 0]])) True