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>
Your Autopilot job trains a default set of algorithms on your dataset.
Instance Attribute Details
#algorithms_config ⇒ Array<Types::AutoMLAlgorithmConfig>
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.
-
**For the tabular problem type ‘TabularJobConfig`,** the list of available algorithms to choose from depends on the training mode set in [ `AutoMLJobConfig.Mode` ][1].
-
‘AlgorithmsConfig` should not be set when the training mode `AutoMLJobConfig.Mode` is set to `AUTO`.
-
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 training mode, see [ AlgorithmConfig].
For more information on each algorithm, see the [Algorithm support] section in the Autopilot developer guide.
-
-
**For the time-series forecasting problem type ‘TimeSeriesForecastingJobConfig`,** choose your algorithms from the list provided in [ AlgorithmConfig].
For more information on each algorithm, see the [Algorithms support for time-series forecasting] section in the Autopilot developer guide.
-
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 time-series forecasting.
-
When ‘AlgorithmsConfig` is not provided, `CandidateGenerationConfig` uses the full set of algorithms for time-series forecasting.
-
[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobConfig.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 [4]: docs.aws.amazon.com/sagemaker/latest/dg/timeseries-forecasting-algorithms.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 3398 class CandidateGenerationConfig < Struct.new( :algorithms_config) SENSITIVE = [] include Aws::Structure end |