Interface EvaluationParameters.Builder
- All Superinterfaces:
Buildable
,CopyableBuilder<EvaluationParameters.Builder,
,EvaluationParameters> SdkBuilder<EvaluationParameters.Builder,
,EvaluationParameters> SdkPojo
- Enclosing class:
EvaluationParameters
public static interface EvaluationParameters.Builder
extends SdkPojo, CopyableBuilder<EvaluationParameters.Builder,EvaluationParameters>
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Method Summary
Modifier and TypeMethodDescriptionbackTestWindowOffset
(Integer backTestWindowOffset) The point from the end of the dataset where you want to split the data for model training and testing (evaluation).numberOfBacktestWindows
(Integer numberOfBacktestWindows) The number of times to split the input data.Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy
Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build
Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFields
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Method Details
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numberOfBacktestWindows
The number of times to split the input data. The default is 1. Valid values are 1 through 5.
- Parameters:
numberOfBacktestWindows
- The number of times to split the input data. The default is 1. Valid values are 1 through 5.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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backTestWindowOffset
The point from the end of the dataset where you want to split the data for model training and testing (evaluation). Specify the value as the number of data points. The default is the value of the forecast horizon.
BackTestWindowOffset
can be used to mimic a past virtual forecast start date. This value must be greater than or equal to the forecast horizon and less than half of the TARGET_TIME_SERIES dataset length.ForecastHorizon
<=BackTestWindowOffset
< 1/2 * TARGET_TIME_SERIES dataset length- Parameters:
backTestWindowOffset
- The point from the end of the dataset where you want to split the data for model training and testing (evaluation). Specify the value as the number of data points. The default is the value of the forecast horizon.BackTestWindowOffset
can be used to mimic a past virtual forecast start date. This value must be greater than or equal to the forecast horizon and less than half of the TARGET_TIME_SERIES dataset length.ForecastHorizon
<=BackTestWindowOffset
< 1/2 * TARGET_TIME_SERIES dataset length- Returns:
- Returns a reference to this object so that method calls can be chained together.
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