Uses of Class
com.amazonaws.services.sagemaker.model.CreateTrainingJobRequest

Packages that use CreateTrainingJobRequest

Package	Description
com.amazonaws.services.sagemaker	Definition of the public APIs exposed by SageMaker
com.amazonaws.services.sagemaker.model

Uses of CreateTrainingJobRequest in com.amazonaws.services.sagemaker

Methods in com.amazonaws.services.sagemaker with parameters of type CreateTrainingJobRequest

Modifier and Type	Method and Description
CreateTrainingJobResult	AmazonSageMaker.createTrainingJob(CreateTrainingJobRequest createTrainingJobRequest) Starts a model training job.
CreateTrainingJobResult	AmazonSageMakerClient.createTrainingJob(CreateTrainingJobRequest request) Starts a model training job.
CreateTrainingJobResult	AbstractAmazonSageMaker.createTrainingJob(CreateTrainingJobRequest request)
Future<CreateTrainingJobResult>	AmazonSageMakerAsync.createTrainingJobAsync(CreateTrainingJobRequest createTrainingJobRequest) Starts a model training job.
Future<CreateTrainingJobResult>	AbstractAmazonSageMakerAsync.createTrainingJobAsync(CreateTrainingJobRequest request)
Future<CreateTrainingJobResult>	AmazonSageMakerAsyncClient.createTrainingJobAsync(CreateTrainingJobRequest request)
Future<CreateTrainingJobResult>	AmazonSageMakerAsync.createTrainingJobAsync(CreateTrainingJobRequest createTrainingJobRequest, AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler) Starts a model training job.
Future<CreateTrainingJobResult>	AbstractAmazonSageMakerAsync.createTrainingJobAsync(CreateTrainingJobRequest request, AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler)
Future<CreateTrainingJobResult>	AmazonSageMakerAsyncClient.createTrainingJobAsync(CreateTrainingJobRequest request, AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler)

Method parameters in com.amazonaws.services.sagemaker with type arguments of type CreateTrainingJobRequest

Modifier and Type	Method and Description
Future<CreateTrainingJobResult>	AmazonSageMakerAsync.createTrainingJobAsync(CreateTrainingJobRequest createTrainingJobRequest, AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler) Starts a model training job.
Future<CreateTrainingJobResult>	AbstractAmazonSageMakerAsync.createTrainingJobAsync(CreateTrainingJobRequest request, AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler)
Future<CreateTrainingJobResult>	AmazonSageMakerAsyncClient.createTrainingJobAsync(CreateTrainingJobRequest request, AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler)

Uses of CreateTrainingJobRequest in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return CreateTrainingJobRequest

Modifier and Type	Method and Description
CreateTrainingJobRequest	CreateTrainingJobRequest.addHyperParametersEntry(String key, String value)
CreateTrainingJobRequest	CreateTrainingJobRequest.clearHyperParametersEntries() Removes all the entries added into HyperParameters.
CreateTrainingJobRequest	CreateTrainingJobRequest.clone()
CreateTrainingJobRequest	CreateTrainingJobRequest.withAlgorithmSpecification(AlgorithmSpecification algorithmSpecification) The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata, including the input mode.
CreateTrainingJobRequest	CreateTrainingJobRequest.withHyperParameters(Map<String,String> hyperParameters) Algorithm-specific parameters.
CreateTrainingJobRequest	CreateTrainingJobRequest.withInputDataConfig(Channel... inputDataConfig) An array of Channel objects.
CreateTrainingJobRequest	CreateTrainingJobRequest.withInputDataConfig(Collection<Channel> inputDataConfig) An array of Channel objects.
CreateTrainingJobRequest	CreateTrainingJobRequest.withOutputDataConfig(OutputDataConfig outputDataConfig) Specifies the path to the S3 bucket where you want to store model artifacts.
CreateTrainingJobRequest	CreateTrainingJobRequest.withResourceConfig(ResourceConfig resourceConfig) The resources, including the ML compute instances and ML storage volumes, to use for model training.
CreateTrainingJobRequest	CreateTrainingJobRequest.withRoleArn(String roleArn) The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
CreateTrainingJobRequest	CreateTrainingJobRequest.withStoppingCondition(StoppingCondition stoppingCondition) Sets a duration for training.
CreateTrainingJobRequest	CreateTrainingJobRequest.withTags(Collection<Tag> tags) An array of key-value pairs.
CreateTrainingJobRequest	CreateTrainingJobRequest.withTags(Tag... tags) An array of key-value pairs.
CreateTrainingJobRequest	CreateTrainingJobRequest.withTrainingJobName(String trainingJobName) The name of the training job.
CreateTrainingJobRequest	CreateTrainingJobRequest.withVpcConfig(VpcConfig vpcConfig) A object that specifies the VPC that you want your training job to connect to.