is_unlabeled

skactiveml.utils.is_unlabeled(y, missing_label=nan, *, target_type='single-output')

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.

target_type“single-output” or “multi-label”, default=”single-output”

The resolved target type. For multi-label targets, y must be two-dimensional. Furthermore, a row y[i] must contain either only observed labels or only missing_label values, i.e., no mixing within a row.

Returns:

is_unlbldnp.ndarray of shape (n_samples,) or (n_samples, n_outputs)

Boolean mask indicating missing labels in y.

• If target_type=”single-output”, is_unlbld has the same shape as y.

• If target_type=”multi-label”, is_unlbld is of shape (n_samples,).