wape

wape(y_true: List[Union[float, List[float]]], y_pred: List[Union[float, List[float]]]) → float

Weighted average percentage Error metric.

\[WAPE(y\_true, y\_pred) = \frac{\sum_{i=0}^{n} |y\_true_i - y\_pred_i|}{\sum_{i=0}^{n}|y\_true_i|}\]

Parameters

• y_true (List[Union[float, List[float]]]) –

  array-like of shape (n_samples,) or (n_samples, n_outputs)

  Ground truth (correct) target values.

• y_pred (List[Union[float, List[float]]]) –

  array-like of shape (n_samples,) or (n_samples, n_outputs)

  Estimated target values.

Returns

A floating point value (the best value is 0.0).

Return type

float