Package software.amazon.awssdk.services.sagemaker.model

Interface CandidateGenerationConfig.Builder

All Superinterfaces:
Buildable, CopyableBuilder<CandidateGenerationConfig.Builder,CandidateGenerationConfig>, SdkBuilder<CandidateGenerationConfig.Builder,CandidateGenerationConfig>, SdkPojo
Enclosing class:
CandidateGenerationConfig
public static interface CandidateGenerationConfig.Builder extends SdkPojo, CopyableBuilder<CandidateGenerationConfig.Builder,CandidateGenerationConfig>

  • Method Details

    • algorithmsConfig

      CandidateGenerationConfig.Builder algorithmsConfig(Collection<AutoMLAlgorithmConfig> 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.

      Parameters:
      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.

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • algorithmsConfig

      CandidateGenerationConfig.Builder algorithmsConfig(AutoMLAlgorithmConfig... 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.

      Parameters:
      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.

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • algorithmsConfig

      CandidateGenerationConfig.Builder algorithmsConfig(Consumer<AutoMLAlgorithmConfig.Builder>... 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.

      This is a convenience method that creates an instance of the AutoMLAlgorithmConfig.Builder avoiding the need to create one manually via AutoMLAlgorithmConfig.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to algorithmsConfig(List<AutoMLAlgorithmConfig>).

      Parameters:
      algorithmsConfig - a consumer that will call methods on AutoMLAlgorithmConfig.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also: