Package software.amazon.awssdk.services.forecast.model

Interface FeaturizationMethod.Builder

All Superinterfaces:
Buildable, CopyableBuilder<FeaturizationMethod.Builder,FeaturizationMethod>, SdkBuilder<FeaturizationMethod.Builder,FeaturizationMethod>, SdkPojo
Enclosing class:
FeaturizationMethod
public static interface FeaturizationMethod.Builder extends SdkPojo, CopyableBuilder<FeaturizationMethod.Builder,FeaturizationMethod>

  • Method Details

    • featurizationMethodName

      FeaturizationMethod.Builder featurizationMethodName(String featurizationMethodName)

      The name of the method. The "filling" method is the only supported method.

      Parameters:
      featurizationMethodName - The name of the method. The "filling" method is the only supported method.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • featurizationMethodName

      FeaturizationMethod.Builder featurizationMethodName(FeaturizationMethodName featurizationMethodName)

      The name of the method. The "filling" method is the only supported method.

      Parameters:
      featurizationMethodName - The name of the method. The "filling" method is the only supported method.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • featurizationMethodParameters

      FeaturizationMethod.Builder featurizationMethodParameters(Map<String,String> featurizationMethodParameters)

      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. Bold signifies the default value.

      • 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:
      featurizationMethodParameters - 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. Bold signifies the default value.

      • 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.