Interface AttributeConfig.Builder
- All Superinterfaces:
Buildable
,CopyableBuilder<AttributeConfig.Builder,
,AttributeConfig> SdkBuilder<AttributeConfig.Builder,
,AttributeConfig> SdkPojo
- Enclosing class:
AttributeConfig
-
Method Summary
Modifier and TypeMethodDescriptionattributeName
(String attributeName) The name of the attribute as specified in the schema.transformations
(Map<String, String> transformations) The method parameters (key-value pairs), which are a map of override parameters.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
-
Method Details
-
attributeName
The name of the attribute as specified in the schema. Amazon Forecast supports the target field of the target time series and the related time series datasets. For example, for the RETAIL domain, the target is
demand
.- Parameters:
attributeName
- The name of the attribute as specified in the schema. Amazon Forecast supports the target field of the target time series and the related time series datasets. For example, for the RETAIL domain, the target isdemand
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
transformations
The method parameters (key-value pairs), which are a map of override parameters. Specify these parameters to override the default values. Related Time Series attributes do not accept aggregation parameters.
The following list shows the parameters and their valid values for the "filling" featurization method for a Target Time Series dataset. Default values are bolded.
-
aggregation
: sum,avg
,first
,min
,max
-
frontfill
: none -
middlefill
: zero,nan
(not a number),value
,median
,mean
,min
,max
-
backfill
: zero,nan
,value
,median
,mean
,min
,max
The following list shows the parameters and their valid values for a Related Time Series featurization method (there are no defaults):
-
middlefill
:zero
,value
,median
,mean
,min
,max
-
backfill
:zero
,value
,median
,mean
,min
,max
-
futurefill
:zero
,value
,median
,mean
,min
,max
To set a filling method to a specific value, set the fill parameter to
value
and define the value in a corresponding_value
parameter. For example, to set backfilling to a value of 2, include the following:"backfill": "value"
and"backfill_value":"2"
.- Parameters:
transformations
- The method parameters (key-value pairs), which are a map of override parameters. Specify these parameters to override the default values. Related Time Series attributes do not accept aggregation parameters.The following list shows the parameters and their valid values for the "filling" featurization method for a Target Time Series dataset. Default values are bolded.
-
aggregation
: sum,avg
,first
,min
,max
-
frontfill
: none -
middlefill
: zero,nan
(not a number),value
,median
,mean
,min
,max
-
backfill
: zero,nan
,value
,median
,mean
,min
,max
The following list shows the parameters and their valid values for a Related Time Series featurization method (there are no defaults):
-
middlefill
:zero
,value
,median
,mean
,min
,max
-
backfill
:zero
,value
,median
,mean
,min
,max
-
futurefill
:zero
,value
,median
,mean
,min
,max
To set a filling method to a specific value, set the fill parameter to
value
and define the value in a corresponding_value
parameter. For example, to set backfilling to a value of 2, include the following:"backfill": "value"
and"backfill_value":"2"
.-
- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
-