Uses of Class
com.amazonaws.services.forecast.model.EvaluationParameters

Packages that use EvaluationParameters

Package	Description
com.amazonaws.services.forecast.model

Uses of EvaluationParameters in com.amazonaws.services.forecast.model

Methods in com.amazonaws.services.forecast.model that return EvaluationParameters

Modifier and Type	Method and Description
EvaluationParameters	EvaluationParameters.clone()
EvaluationParameters	DescribePredictorResult.getEvaluationParameters() Used to override the default evaluation parameters of the specified algorithm.
EvaluationParameters	CreatePredictorRequest.getEvaluationParameters() Used to override the default evaluation parameters of the specified algorithm.
EvaluationParameters	EvaluationParameters.withBackTestWindowOffset(Integer backTestWindowOffset) The point from the end of the dataset where you want to split the data for model training and testing (evaluation).
EvaluationParameters	EvaluationParameters.withNumberOfBacktestWindows(Integer numberOfBacktestWindows) The number of times to split the input data.

Methods in com.amazonaws.services.forecast.model with parameters of type EvaluationParameters

Modifier and Type	Method and Description
void	DescribePredictorResult.setEvaluationParameters(EvaluationParameters evaluationParameters) Used to override the default evaluation parameters of the specified algorithm.
void	CreatePredictorRequest.setEvaluationParameters(EvaluationParameters evaluationParameters) Used to override the default evaluation parameters of the specified algorithm.
DescribePredictorResult	DescribePredictorResult.withEvaluationParameters(EvaluationParameters evaluationParameters) Used to override the default evaluation parameters of the specified algorithm.
CreatePredictorRequest	CreatePredictorRequest.withEvaluationParameters(EvaluationParameters evaluationParameters) Used to override the default evaluation parameters of the specified algorithm.