mars.learn.utils.multiclass.is_multilabel

mars.learn.utils.multiclass.is_multilabel(y)

Check if y is in a multilabel format.

Parameters

y (numpy array of shape [n_samples]) – Target values.

Returns

out – Return True, if y is in a multilabel format, else `False.

Return type

bool,

Examples

>>> import mars.tensor as mt
>>> from mars.learn.utils.multiclass import is_multilabel
>>> is_multilabel([0, 1, 0, 1]).execute()
False
>>> is_multilabel([[1], [0, 2], []]).execute()
False
>>> is_multilabel(mt.array([[1, 0], [0, 0]])).execute()
True
>>> is_multilabel(mt.array([[1], [0], [0]])).execute()
False
>>> is_multilabel(mt.array([[1, 0, 0]])).execute()
True