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