class Aws::ForecastService::Types::Metrics
Provides metrics that are used to evaluate the performance of a predictor. This object is part of the WindowSummary
object.
@!attribute [rw] rmse
The root-mean-square error (RMSE). @return [Float]
@!attribute [rw] weighted_quantile_losses
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. @return [Array<Types::WeightedQuantileLoss>]
@!attribute [rw] error_metrics
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). @return [Array<Types::ErrorMetric>]
@!attribute [rw] average_weighted_quantile_loss
The average value of all weighted quantile losses. @return [Float]
@see docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/Metrics AWS API Documentation
Constants
- SENSITIVE