Metrics - Amazon Forecast


Provides metrics that are used to evaluate the performance of a predictor. This object is part of the WindowSummary object.



The average value of all weighted quantile losses.

Type: Double

Required: No


Provides detailed error metrics for each forecast type. Metrics include root-mean square-error (RMSE), mean absolute percentage error (MAPE), mean absolute scaled error (MASE), and weighted average percentage error (WAPE).

Type: Array of ErrorMetric objects

Required: No


This member has been deprecated.

The root-mean-square error (RMSE).

Type: Double

Required: No


An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

Type: Array of WeightedQuantileLoss objects

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: