skactiveml.utils.is_unlabeled#

skactiveml.utils.is_unlabeled(y, missing_label=nan)[source]#

Creates a boolean mask indicating missing labels.

Parameters
yarray-like, shape (n_samples) or (n_samples, n_outputs)

Class labels to be checked w.r.t. to missing labels.

missing_labelnumber | str | None | np.nan, optional (default=np.nan)

Symbol to represent a missing label.

Returns
is_unlabelednumpy.ndarray, shape (n_samples) or (n_samples, n_outputs)

Boolean mask indicating missing labels in y.