Uses of Class
software.amazon.awssdk.services.sagemaker.model.AutoMLAlgorithmConfig
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Packages that use AutoMLAlgorithmConfig Package Description software.amazon.awssdk.services.sagemaker.model -
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Uses of AutoMLAlgorithmConfig in software.amazon.awssdk.services.sagemaker.model
Methods in software.amazon.awssdk.services.sagemaker.model that return types with arguments of type AutoMLAlgorithmConfig Modifier and Type Method Description List<AutoMLAlgorithmConfig>AutoMLCandidateGenerationConfig. algorithmsConfig()Stores the configuration information for the selection of algorithms used to train the model candidates.List<AutoMLAlgorithmConfig>CandidateGenerationConfig. algorithmsConfig()Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.Methods in software.amazon.awssdk.services.sagemaker.model with parameters of type AutoMLAlgorithmConfig Modifier and Type Method Description AutoMLCandidateGenerationConfig.BuilderAutoMLCandidateGenerationConfig.Builder. algorithmsConfig(AutoMLAlgorithmConfig... algorithmsConfig)Stores the configuration information for the selection of algorithms used to train the model candidates.CandidateGenerationConfig.BuilderCandidateGenerationConfig.Builder. algorithmsConfig(AutoMLAlgorithmConfig... algorithmsConfig)Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.Method parameters in software.amazon.awssdk.services.sagemaker.model with type arguments of type AutoMLAlgorithmConfig Modifier and Type Method Description AutoMLCandidateGenerationConfig.BuilderAutoMLCandidateGenerationConfig.Builder. algorithmsConfig(Collection<AutoMLAlgorithmConfig> algorithmsConfig)Stores the configuration information for the selection of algorithms used to train the model candidates.CandidateGenerationConfig.BuilderCandidateGenerationConfig.Builder. algorithmsConfig(Collection<AutoMLAlgorithmConfig> algorithmsConfig)Stores the configuration information for the selection of algorithms used to train model candidates on tabular data.
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