skactiveml.utils.is_unlabeled#
- skactiveml.utils.is_unlabeled(y, missing_label=nan)[source]#
Creates a boolean mask indicating missing labels.
- Parameters
- yarray-like of shape (n_samples) or (n_samples, n_outputs)
Class labels to be checked w.r.t. to missing labels.
- missing_labelnumber or str or None or np.nan, default=np.nan
Value to represent a missing label.
- Returns
- is_unlabelednp.ndarray of shape (n_samples,) or (n_samples, n_outputs)
Boolean mask indicating missing labels in y.