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Provides metrics that are used to evaluate the performance of a predictor. This object is part of the WindowSummary object.
Contents
- AverageWeightedQuantileLoss
-
The average value of all weighted quantile losses.
Type: Double
Required: No
- ErrorMetrics
-
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
- RMSE
-
This member has been deprecated.
The root-mean-square error (RMSE).
Type: Double
Required: No
- WeightedQuantileLosses
-
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:
