MAE

class pytorch_forecasting.metrics.MAE(reduction: str = 'mean', **kwargs)[source]

Bases: pytorch_forecasting.metrics.MultiHorizonMetric

Mean average absolute error.

Defined as (y_pred - target).abs()

Initialize metric

Parameters

  • name (str) – metric name. Defaults to class name.

  • quantiles (List[float], optional) – quantiles for probability range. Defaults to None.

  • reduction (str, optional) – Reduction, “none”, “mean” or “sqrt-mean”. Defaults to “mean”.

Methods

loss(y_pred, target)

Calculate loss without reduction.
loss(y_pred, target)[source]

Calculate loss without reduction. Override in derived classes

Parameters

  • y_pred – network output

  • y_actual – actual values

Returns

loss/metric as a single number for backpropagation

Return type

torch.Tensor

LogNormalDistributionLoss MAPE