software.amazon.awssdk.services.forecast.model

Interface AttributeConfig.Builder

All Superinterfaces:

Buildable, CopyableBuilder<AttributeConfig.Builder,AttributeConfig>, SdkBuilder<AttributeConfig.Builder,AttributeConfig>, SdkPojo

Enclosing class:

AttributeConfig

public static interface AttributeConfig.Builder
extends SdkPojo, CopyableBuilder<AttributeConfig.Builder,AttributeConfig>

Method Summary

Modifier and Type	Method and Description
AttributeConfig.Builder	attributeName(String attributeName) The name of the attribute as specified in the schema.
AttributeConfig.Builder	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.core.SdkPojo

equalsBySdkFields, sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

attributeName

AttributeConfig.Builder attributeName(String 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 is demand.

Returns:

Returns a reference to this object so that method calls can be chained together.

transformations

AttributeConfig.Builder transformations(Map<String,String> 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.