wape

wape(y_true: Union[float, Sequence[float], Sequence[Sequence[float]]], y_pred: Union[float, Sequence[float], Sequence[Sequence[float]]], multioutput: str = 'joint') → Union[float, Sequence[float], Sequence[Sequence[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 (Union[float, Sequence[float], Sequence[Sequence[float]]]) –

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

  Ground truth (correct) target values.

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

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

  Estimated target values.

• multioutput (str) – Defines aggregating of multiple output values (see FunctionalMetricMultioutput).

Returns

A non-negative floating point value (the best value is 0.0), or an array of floating point values, one for each individual target.

Return type

Union[float, Sequence[float], Sequence[Sequence[float]]]