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 Details

    • 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.