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

Packages that use CreateAlgorithmRequest

Package	Description
com.amazonaws.services.sagemaker	Provides APIs for creating and managing Amazon SageMaker resources.
com.amazonaws.services.sagemaker.model

Uses of CreateAlgorithmRequest in com.amazonaws.services.sagemaker

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

Modifier and Type	Method and Description
CreateAlgorithmResult	AmazonSageMaker.createAlgorithm(CreateAlgorithmRequest createAlgorithmRequest) Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
CreateAlgorithmResult	AmazonSageMakerClient.createAlgorithm(CreateAlgorithmRequest request) Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
CreateAlgorithmResult	AbstractAmazonSageMaker.createAlgorithm(CreateAlgorithmRequest request)
Future<CreateAlgorithmResult>	AmazonSageMakerAsync.createAlgorithmAsync(CreateAlgorithmRequest createAlgorithmRequest) Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
Future<CreateAlgorithmResult>	AbstractAmazonSageMakerAsync.createAlgorithmAsync(CreateAlgorithmRequest request)
Future<CreateAlgorithmResult>	AmazonSageMakerAsyncClient.createAlgorithmAsync(CreateAlgorithmRequest request)
Future<CreateAlgorithmResult>	AmazonSageMakerAsync.createAlgorithmAsync(CreateAlgorithmRequest createAlgorithmRequest, AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler) Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
Future<CreateAlgorithmResult>	AbstractAmazonSageMakerAsync.createAlgorithmAsync(CreateAlgorithmRequest request, AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler)
Future<CreateAlgorithmResult>	AmazonSageMakerAsyncClient.createAlgorithmAsync(CreateAlgorithmRequest request, AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler)

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

Modifier and Type	Method and Description
Future<CreateAlgorithmResult>	AmazonSageMakerAsync.createAlgorithmAsync(CreateAlgorithmRequest createAlgorithmRequest, AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler) Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
Future<CreateAlgorithmResult>	AbstractAmazonSageMakerAsync.createAlgorithmAsync(CreateAlgorithmRequest request, AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler)
Future<CreateAlgorithmResult>	AmazonSageMakerAsyncClient.createAlgorithmAsync(CreateAlgorithmRequest request, AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler)

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

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

Modifier and Type	Method and Description
CreateAlgorithmRequest	CreateAlgorithmRequest.clone()
CreateAlgorithmRequest	CreateAlgorithmRequest.withAlgorithmDescription(String algorithmDescription) A description of the algorithm.
CreateAlgorithmRequest	CreateAlgorithmRequest.withAlgorithmName(String algorithmName) The name of the algorithm.
CreateAlgorithmRequest	CreateAlgorithmRequest.withCertifyForMarketplace(Boolean certifyForMarketplace) Whether to certify the algorithm so that it can be listed in AWS Marketplace.
CreateAlgorithmRequest	CreateAlgorithmRequest.withInferenceSpecification(InferenceSpecification inferenceSpecification) Specifies details about inference jobs that the algorithm runs, including the following:
CreateAlgorithmRequest	CreateAlgorithmRequest.withTrainingSpecification(TrainingSpecification trainingSpecification) Specifies details about training jobs run by this algorithm, including the following:
CreateAlgorithmRequest	CreateAlgorithmRequest.withValidationSpecification(AlgorithmValidationSpecification validationSpecification) Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.