FeaturizationMethod - Amazon Forecast

FeaturizationMethod

Provides information about the method that featurizes (transforms) a dataset field. The method is part of the FeaturizationPipeline of the Featurization object.

The following is an example of how you specify a FeaturizationMethod object.

{

"FeaturizationMethodName": "filling",

"FeaturizationMethodParameters": {"aggregation": "sum", "middlefill": "zero", "backfill": "zero"}

}

Contents

FeaturizationMethodName

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

Type: String

Valid Values: filling

Required: Yes

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

Type: String to string map

Key Length Constraints: Maximum length of 256.

Key Pattern: ^[a-zA-Z0-9\-\_\.\/\[\]\,\\]+$

Value Length Constraints: Maximum length of 256.

Value Pattern: ^[a-zA-Z0-9\-\_\.\/\[\]\,\"\\\s]+$

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: