vak.metrics.classification.functional.accuracy

vak.metrics.classification.functional.accuracy(y_pred, y_true)

standard supervised learning classification accuracy: Sum of predicted labels that equal true labels, divided by number of true labels.

Parameters:

• y_pred (torch.Tensor) –

• y_true (torch.Tensor) –

Returns:

acc – between 0 and 1. Sum of predicted labels that equal true labels, divided by number of true labels.

Return type:

float