CandidateGenerationConfig — AWS SDK for Ruby V3 (original) (raw)

Class: Aws::SageMaker::Types::CandidateGenerationConfig

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::CandidateGenerationConfig show all

Defined in:

gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

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

Constant Summarycollapse

SENSITIVE =

[]

Instance Attribute Summary collapse

• #algorithms_config ⇒ ArrayTypes::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 .
  • AlgorithmsConfig should not be set when the training modeAutoMLJobConfig.Mode is set to AUTO.
  • When AlgorithmsConfig is provided, one AutoMLAlgorithmsattribute must be set and one only.
    If the list of algorithms provided as values forAutoMLAlgorithms 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 typeTimeSeriesForecastingJobConfig, 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 AutoMLAlgorithmsattribute must be set and one only.
    If the list of algorithms provided as values forAutoMLAlgorithms 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.