Class EvaluationParameters
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<EvaluationParameters.Builder,EvaluationParameters>
Parameters that define how to split a dataset into training data and testing data, and the number of iterations to perform. These parameters are specified in the predefined algorithms but you can override them in the CreatePredictor request.
- See Also:
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionfinal IntegerThe point from the end of the dataset where you want to split the data for model training and testing (evaluation).static EvaluationParameters.Builderbuilder()final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) final inthashCode()final IntegerThe number of times to split the input data.static Class<? extends EvaluationParameters.Builder> Take this object and create a builder that contains all of the current property values of this object.final StringtoString()Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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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.
- Returns:
- The number of times to split the input data. The default is 1. Valid values are 1 through 5.
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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.
BackTestWindowOffsetcan 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:
- 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.
BackTestWindowOffsetcan 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
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toBuilder
Description copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilderin interfaceToCopyableBuilder<EvaluationParameters.Builder,EvaluationParameters> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
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equals
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equalsBySdkFields
Description copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an
SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
equalsBySdkFieldsin interfaceSdkPojo- Parameters:
obj- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
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sdkFields
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