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.