hausdorff_error

hausdorff_error(true_change_points: Union[_SupportsArray[dtype[Any]], _NestedSequence[_SupportsArray[dtype[Any]]], bool, int, float, complex, str, bytes, _NestedSequence[Union[bool, int, float, complex, str, bytes]]], pred_change_points: Union[_SupportsArray[dtype[Any]], _NestedSequence[_SupportsArray[dtype[Any]]], bool, int, float, complex, str, bytes, _NestedSequence[Union[bool, int, float, complex, str, bytes]]], symmetric: bool = True, seed: int = 0) → float

Compute the Hausdorff distance between two sets of change points.

See also

This function wraps scipy.spatial.distance.directed_hausdorff

Parameters:

true_change_points: array_like

Integer indexes (positions) of true change points

pred_change_points: array_like

Integer indexes (positions) of predicted change points

symmetric: bool

If True symmetric Hausdorff distance will be used

seed: int, default=0

Local numpy.random.RandomState seed. Default is 0, a random shuffling of u and v that guarantees reproducibility.

Returns:

Hausdorff error.