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 Integer
The point from the end of the dataset where you want to split the data for model training and testing (evaluation).static EvaluationParameters.Builder
builder()
final boolean
final boolean
equalsBySdkFields
(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 int
hashCode()
final Integer
The 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 String
toString()
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.
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:
- 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
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toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in 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:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in 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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sdkFieldNameToField
- Specified by:
sdkFieldNameToField
in interfaceSdkPojo
- Returns:
- The mapping between the field name and its corresponding field.
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