point

Point metrics for forecasting a single point per time step.

Classes

CrossEntropy([reduction])	Cross entropy loss for classification.
MAE([reduction])	Mean average absolute error.
MAPE([reduction])	Mean absolute percentage.
MASE([reduction])	Mean absolute scaled error
PoissonLoss([reduction])	Poisson loss for count data.
RMSE([reduction])	Root mean square error
SMAPE([reduction])	Symmetric mean absolute percentage.
TweedieLoss([reduction, p])	Tweedie loss.