Class: Aws::ForecastService::Types::Featurization
- Inherits:
-
Struct
- Object
- Struct
- Aws::ForecastService::Types::Featurization
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-forecastservice/types.rb
Overview
<note markdown=“1”> This object belongs to the CreatePredictor operation. If you created your predictor with CreateAutoPredictor, see AttributeConfig.
</note>
Provides featurization (transformation) information for a dataset field. This object is part of the FeaturizationConfig object.
For example:
‘
‘“AttributeName”: “demand”,`
‘FeaturizationPipeline [ {`
‘“FeaturizationMethodName”: “filling”,`
‘“FeaturizationMethodParameters”: {“aggregation”: “avg”, “backfill”: “nan”`
‘} ]`
‘}`
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#attribute_name ⇒ String
The name of the schema attribute that specifies the data field to be featurized.
-
#featurization_pipeline ⇒ Array<Types::FeaturizationMethod>
An array of one ‘FeaturizationMethod` object that specifies the feature transformation method.
Instance Attribute Details
#attribute_name ⇒ String
The name of the schema attribute that specifies the data field to be featurized. 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`, and for the `CUSTOM` domain, the target is `target_value`. For more information, see howitworks-missing-values.
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# File 'lib/aws-sdk-forecastservice/types.rb', line 4156 class Featurization < Struct.new( :attribute_name, :featurization_pipeline) SENSITIVE = [] include Aws::Structure end |
#featurization_pipeline ⇒ Array<Types::FeaturizationMethod>
An array of one ‘FeaturizationMethod` object that specifies the feature transformation method.
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# File 'lib/aws-sdk-forecastservice/types.rb', line 4156 class Featurization < Struct.new( :attribute_name, :featurization_pipeline) SENSITIVE = [] include Aws::Structure end |