Class: Aws::SageMaker::Types::CandidateGenerationConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::CandidateGenerationConfig
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Stores the configuration information for how model candidates are generated using an AutoML job V2.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#algorithms_config ⇒ Array<Types::AutoMLAlgorithmConfig>
Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.
Instance Attribute Details
#algorithms_config ⇒ Array<Types::AutoMLAlgorithmConfig>
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` ][1].
-
‘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.
[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_TabularJobConfig.html [2]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLAlgorithmConfig.html [3]: docs.aws.amazon.com/sagemaker/latest/dg/autopilot-model-support-validation.html#autopilot-algorithm-support
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# File 'lib/aws-sdk-sagemaker/types.rb', line 3169 class CandidateGenerationConfig < Struct.new( :algorithms_config) SENSITIVE = [] include Aws::Structure end |