ThresholdAccuracy

class torch_uncertainty.metrics.regression.ThresholdAccuracy(power, lmbda=1.25, **kwargs)

The Threshold Accuracy metric, a.k.a. d1, d2, d3.

Parameters:

• power – The power to raise the threshold to. Often in [1, 2, 3].

• lmbda – The threshold to compare the max of ratio of predictions to targets and its inverse to. Defaults to 1.25.

• kwargs – Additional keyword arguments, see Advanced metric settings.

compute()

Compute the Threshold Accuracy.

update(preds, target)

Update state with predictions and targets.