clinicadl.metrics.config.HausdorffDistanceMetricConfig

clinicadl.metrics.config.HausdorffDistanceMetricConfig

Config class for monai.metrics.HausdorffDistanceMetric.

get_not_nans is not supported currently.

pred_key corresponds to the key of the model output to evaluate in the DataPoint; label_key is the key of the potential label to which the model output must be compared.

Potential postprocessing to apply to the model output before computing the metric can be specified via postprocessing. Accepted transforms are functions that take as input a DataPoint and return a DataPoint, or configuration classes.

parameter include_background: bool = False

parameter distance_metric: DistanceMetric = 'euclidean'

parameter percentile: Optional[NonNegativeFloat] = None

parameter directed: bool = False

parameter reduction: Reduction = mean

parameter pred_key: str = 'output'

parameter label_key: Optional[str] = 'label'

parameter postprocessing: Union[list[TransformOrConfig], PostprocessingHandler] = []

parameter get_not_nans: bool = False