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/AWS1/CL_FCSATTRIBUTECONFIG

Provides information about the method used to transform attributes.

The following is an example using the RETAIL domain:

{

"AttributeName": "demand",

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

}

CONSTRUCTOR

IMPORTING

Required arguments:

iv_attributename TYPE /AWS1/FCSNAME /AWS1/FCSNAME

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.

it_transformations TYPE /AWS1/CL_FCSTRANSFORMATIONS_W=>TT_TRANSFORMATIONS TT_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".

Queryable Attributes

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.

Accessible with the following methods

Method Description
GET_ATTRIBUTENAME() Getter for ATTRIBUTENAME, with configurable default
ASK_ATTRIBUTENAME() Getter for ATTRIBUTENAME w/ exceptions if field has no value
HAS_ATTRIBUTENAME() Determine if ATTRIBUTENAME has a value

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".

Accessible with the following methods

Method Description
GET_TRANSFORMATIONS() Getter for TRANSFORMATIONS, with configurable default
ASK_TRANSFORMATIONS() Getter for TRANSFORMATIONS w/ exceptions if field has no val
HAS_TRANSFORMATIONS() Determine if TRANSFORMATIONS has a value

Public Local Types In This Class

Internal table types, representing arrays and maps of this class, are defined as local types:

TT_ATTRIBUTECONFIGS

TYPES TT_ATTRIBUTECONFIGS TYPE STANDARD TABLE OF REF TO /AWS1/CL_FCSATTRIBUTECONFIG WITH DEFAULT KEY
.