Uses of Interface
software.amazon.awssdk.services.sagemaker.model.TrainingJobDefinition.Builder

Packages that use TrainingJobDefinition.Builder

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

Uses of TrainingJobDefinition.Builder in software.amazon.awssdk.services.sagemaker.model

Methods in software.amazon.awssdk.services.sagemaker.model that return TrainingJobDefinition.Builder

Modifier and Type	Method and Description
static TrainingJobDefinition.Builder	TrainingJobDefinition.builder()
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.hyperParameters(Map<String,String> hyperParameters) The hyperparameters used for the training job.
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.inputDataConfig(Channel... inputDataConfig) An array of Channel objects, each of which specifies an input source.
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.inputDataConfig(Collection<Channel> inputDataConfig) An array of Channel objects, each of which specifies an input source.
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.inputDataConfig(Consumer<Channel.Builder>... inputDataConfig) An array of Channel objects, each of which specifies an input source.
default TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.outputDataConfig(Consumer<OutputDataConfig.Builder> outputDataConfig) the path to the S3 bucket where you want to store model artifacts.
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.outputDataConfig(OutputDataConfig outputDataConfig) the path to the S3 bucket where you want to store model artifacts.
default TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.resourceConfig(Consumer<ResourceConfig.Builder> resourceConfig) The resources, including the ML compute instances and ML storage volumes, to use for model training.
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.resourceConfig(ResourceConfig resourceConfig) The resources, including the ML compute instances and ML storage volumes, to use for model training.
default TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.stoppingCondition(Consumer<StoppingCondition.Builder> stoppingCondition) Specifies a limit to how long a model training job can run.
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.stoppingCondition(StoppingCondition stoppingCondition) Specifies a limit to how long a model training job can run.
TrainingJobDefinition.Builder	TrainingJobDefinition.toBuilder()
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.trainingInputMode(String trainingInputMode) Sets the value of the TrainingInputMode property for this object.
TrainingJobDefinition.Builder	TrainingJobDefinition.Builder.trainingInputMode(TrainingInputMode trainingInputMode) Sets the value of the TrainingInputMode property for this object.

Methods in software.amazon.awssdk.services.sagemaker.model that return types with arguments of type TrainingJobDefinition.Builder

Modifier and Type	Method and Description
static Class<? extends TrainingJobDefinition.Builder>	TrainingJobDefinition.serializableBuilderClass()

Method parameters in software.amazon.awssdk.services.sagemaker.model with type arguments of type TrainingJobDefinition.Builder

Modifier and Type	Method and Description
default AlgorithmValidationProfile.Builder	AlgorithmValidationProfile.Builder.trainingJobDefinition(Consumer<TrainingJobDefinition.Builder> trainingJobDefinition) The TrainingJobDefinition object that describes the training job that SageMaker runs to validate your algorithm.