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

Packages that use CreateTrainingJobRequest.Builder

Package	Description
software.amazon.awssdk.services.sagemaker	Provides APIs for creating and managing SageMaker resources.
software.amazon.awssdk.services.sagemaker.model

Uses of CreateTrainingJobRequest.Builder in software.amazon.awssdk.services.sagemaker

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

Modifier and Type	Method and Description
default CreateTrainingJobResponse	SageMakerClient.createTrainingJob(Consumer<CreateTrainingJobRequest.Builder> createTrainingJobRequest) Starts a model training job.
default CompletableFuture<CreateTrainingJobResponse>	SageMakerAsyncClient.createTrainingJob(Consumer<CreateTrainingJobRequest.Builder> createTrainingJobRequest) Starts a model training job.

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

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

Modifier and Type	Method and Description
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.algorithmSpecification(AlgorithmSpecification algorithmSpecification) The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata, including the input mode.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.algorithmSpecification(Consumer<AlgorithmSpecification.Builder> algorithmSpecification) The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata, including the input mode.
static CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.builder()
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.checkpointConfig(CheckpointConfig checkpointConfig) Contains information about the output location for managed spot training checkpoint data.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.checkpointConfig(Consumer<CheckpointConfig.Builder> checkpointConfig) Contains information about the output location for managed spot training checkpoint data.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.debugHookConfig(Consumer<DebugHookConfig.Builder> debugHookConfig) Sets the value of the DebugHookConfig property for this object.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.debugHookConfig(DebugHookConfig debugHookConfig) Sets the value of the DebugHookConfig property for this object.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.debugRuleConfigurations(Collection<DebugRuleConfiguration> debugRuleConfigurations) Configuration information for Debugger rules for debugging output tensors.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.debugRuleConfigurations(Consumer<DebugRuleConfiguration.Builder>... debugRuleConfigurations) Configuration information for Debugger rules for debugging output tensors.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.debugRuleConfigurations(DebugRuleConfiguration... debugRuleConfigurations) Configuration information for Debugger rules for debugging output tensors.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.enableInterContainerTrafficEncryption(Boolean enableInterContainerTrafficEncryption) To encrypt all communications between ML compute instances in distributed training, choose True.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.enableManagedSpotTraining(Boolean enableManagedSpotTraining) To train models using managed spot training, choose True.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.enableNetworkIsolation(Boolean enableNetworkIsolation) Isolates the training container.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.environment(Map<String,String> environment) The environment variables to set in the Docker container.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.experimentConfig(Consumer<ExperimentConfig.Builder> experimentConfig) Sets the value of the ExperimentConfig property for this object.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.experimentConfig(ExperimentConfig experimentConfig) Sets the value of the ExperimentConfig property for this object.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.hyperParameters(Map<String,String> hyperParameters) Algorithm-specific parameters that influence the quality of the model.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.inputDataConfig(Channel... inputDataConfig) An array of Channel objects.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.inputDataConfig(Collection<Channel> inputDataConfig) An array of Channel objects.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.inputDataConfig(Consumer<Channel.Builder>... inputDataConfig) An array of Channel objects.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.outputDataConfig(Consumer<OutputDataConfig.Builder> outputDataConfig) Specifies the path to the S3 location where you want to store model artifacts.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.outputDataConfig(OutputDataConfig outputDataConfig) Specifies the path to the S3 location where you want to store model artifacts.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.profilerConfig(Consumer<ProfilerConfig.Builder> profilerConfig) Sets the value of the ProfilerConfig property for this object.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.profilerConfig(ProfilerConfig profilerConfig) Sets the value of the ProfilerConfig property for this object.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.profilerRuleConfigurations(Collection<ProfilerRuleConfiguration> profilerRuleConfigurations) Configuration information for Debugger rules for profiling system and framework metrics.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.profilerRuleConfigurations(Consumer<ProfilerRuleConfiguration.Builder>... profilerRuleConfigurations) Configuration information for Debugger rules for profiling system and framework metrics.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.profilerRuleConfigurations(ProfilerRuleConfiguration... profilerRuleConfigurations) Configuration information for Debugger rules for profiling system and framework metrics.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.resourceConfig(Consumer<ResourceConfig.Builder> resourceConfig) The resources, including the ML compute instances and ML storage volumes, to use for model training.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.resourceConfig(ResourceConfig resourceConfig) The resources, including the ML compute instances and ML storage volumes, to use for model training.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.retryStrategy(Consumer<RetryStrategy.Builder> retryStrategy) The number of times to retry the job when the job fails due to an InternalServerError.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.retryStrategy(RetryStrategy retryStrategy) The number of times to retry the job when the job fails due to an InternalServerError.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.roleArn(String roleArn) The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.stoppingCondition(Consumer<StoppingCondition.Builder> stoppingCondition) Specifies a limit to how long a model training job can run.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.stoppingCondition(StoppingCondition stoppingCondition) Specifies a limit to how long a model training job can run.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.tags(Collection<Tag> tags) An array of key-value pairs.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.tags(Consumer<Tag.Builder>... tags) An array of key-value pairs.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.tags(Tag... tags) An array of key-value pairs.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.tensorBoardOutputConfig(Consumer<TensorBoardOutputConfig.Builder> tensorBoardOutputConfig) Sets the value of the TensorBoardOutputConfig property for this object.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.tensorBoardOutputConfig(TensorBoardOutputConfig tensorBoardOutputConfig) Sets the value of the TensorBoardOutputConfig property for this object.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.toBuilder()
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.trainingJobName(String trainingJobName) The name of the training job.
default CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.vpcConfig(Consumer<VpcConfig.Builder> vpcConfig) A VpcConfig object that specifies the VPC that you want your training job to connect to.
CreateTrainingJobRequest.Builder	CreateTrainingJobRequest.Builder.vpcConfig(VpcConfig vpcConfig) A VpcConfig object that specifies the VPC that you want your training job to connect to.

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

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