CandidateGenerationConfig - Amazon SageMaker
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CandidateGenerationConfig

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

Contents

AlgorithmsConfig

Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.

The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode.

  • AlgorithmsConfig should not be set in AUTO training mode.

  • When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.

    If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

  • When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.

For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.

For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.

Type: Array of AutoMLAlgorithmConfig objects

Array Members: Maximum number of 1 item.

Required: No

See Also

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