CandidateGenerationConfig - Amazon SageMaker (original) (raw)

Stores the configuration information for how model candidates are generated using an AutoML job V2.

Contents

AlgorithmsConfig

Your Autopilot job trains a default set of algorithms on your dataset. For tabular and time-series data, you can customize the algorithm list by selecting a subset of algorithms for your problem type.

AlgorithmsConfig stores the customized selection of algorithms to train on your data.

Type: Array of AutoMLAlgorithmConfig objects

Array Members: Minimum number of 0 items. Maximum number of 1 item.

Required: No

See Also

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

CandidateArtifactLocations

CandidateProperties

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