@Generated(value="software.amazon.awssdk:codegen") public interface SageMakerAsyncClient extends SdkClient
builder()
method.
Provides APIs for creating and managing Amazon SageMaker resources.
Other Resources:
| Modifier and Type | Field and Description |
|---|---|
static String |
SERVICE_NAME |
serviceNameclosestatic final String SERVICE_NAME
static SageMakerAsyncClient create()
SageMakerAsyncClient with the region loaded from the
DefaultAwsRegionProviderChain and credentials loaded from the
DefaultCredentialsProvider.static SageMakerAsyncClientBuilder builder()
SageMakerAsyncClient.default CompletableFuture<AddTagsResponse> addTags(AddTagsRequest addTagsRequest)
Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see AWS Tagging Strategies.
Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the
hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter
tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter
tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you
first create the tuning job by specifying them in the Tags parameter of
CreateHyperParameterTuningJob
addTagsRequest - default CompletableFuture<AddTagsResponse> addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)
Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see AWS Tagging Strategies.
Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the
hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter
tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter
tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you
first create the tuning job by specifying them in the Tags parameter of
CreateHyperParameterTuningJob
This is a convenience which creates an instance of the AddTagsRequest.Builder avoiding the need to create
one manually via AddTagsRequest.builder()
addTagsRequest - A Consumer that will call methods on AddTagsInput.Builder to create a request.default CompletableFuture<AssociateTrialComponentResponse> associateTrialComponent(AssociateTrialComponentRequest associateTrialComponentRequest)
Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
associateTrialComponentRequest - default CompletableFuture<AssociateTrialComponentResponse> associateTrialComponent(Consumer<AssociateTrialComponentRequest.Builder> associateTrialComponentRequest)
Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
This is a convenience which creates an instance of the AssociateTrialComponentRequest.Builder avoiding
the need to create one manually via AssociateTrialComponentRequest.builder()
associateTrialComponentRequest - A Consumer that will call methods on AssociateTrialComponentRequest.Builder to create a
request.default CompletableFuture<CreateAlgorithmResponse> createAlgorithm(CreateAlgorithmRequest createAlgorithmRequest)
Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
createAlgorithmRequest - default CompletableFuture<CreateAlgorithmResponse> createAlgorithm(Consumer<CreateAlgorithmRequest.Builder> createAlgorithmRequest)
Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
This is a convenience which creates an instance of the CreateAlgorithmRequest.Builder avoiding the need
to create one manually via CreateAlgorithmRequest.builder()
createAlgorithmRequest - A Consumer that will call methods on CreateAlgorithmInput.Builder to create a request.default CompletableFuture<CreateAppResponse> createApp(CreateAppRequest createAppRequest)
Creates a running App for the specified UserProfile. Supported Apps are JupyterServer and KernelGateway. This operation is automatically invoked by Amazon SageMaker Studio upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
createAppRequest - default CompletableFuture<CreateAppResponse> createApp(Consumer<CreateAppRequest.Builder> createAppRequest)
Creates a running App for the specified UserProfile. Supported Apps are JupyterServer and KernelGateway. This operation is automatically invoked by Amazon SageMaker Studio upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
This is a convenience which creates an instance of the CreateAppRequest.Builder avoiding the need to
create one manually via CreateAppRequest.builder()
createAppRequest - A Consumer that will call methods on CreateAppRequest.Builder to create a request.default CompletableFuture<CreateAutoMlJobResponse> createAutoMLJob(CreateAutoMlJobRequest createAutoMlJobRequest)
Creates an Autopilot job.
Find the best performing model after you run an Autopilot job by calling . Deploy that model by following the steps described in Step 6.1: Deploy the Model to Amazon SageMaker Hosting Services.
For information about how to use Autopilot, see Automate Model Development with Amazon SageMaker Autopilot.
createAutoMlJobRequest - default CompletableFuture<CreateAutoMlJobResponse> createAutoMLJob(Consumer<CreateAutoMlJobRequest.Builder> createAutoMlJobRequest)
Creates an Autopilot job.
Find the best performing model after you run an Autopilot job by calling . Deploy that model by following the steps described in Step 6.1: Deploy the Model to Amazon SageMaker Hosting Services.
For information about how to use Autopilot, see Automate Model Development with Amazon SageMaker Autopilot.
This is a convenience which creates an instance of the CreateAutoMlJobRequest.Builder avoiding the need
to create one manually via CreateAutoMlJobRequest.builder()
createAutoMlJobRequest - A Consumer that will call methods on CreateAutoMLJobRequest.Builder to create a request.default CompletableFuture<CreateCodeRepositoryResponse> createCodeRepository(CreateCodeRepositoryRequest createCodeRepositoryRequest)
Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.
The repository can be hosted either in AWS CodeCommit or in any other Git repository.
createCodeRepositoryRequest - default CompletableFuture<CreateCodeRepositoryResponse> createCodeRepository(Consumer<CreateCodeRepositoryRequest.Builder> createCodeRepositoryRequest)
Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.
The repository can be hosted either in AWS CodeCommit or in any other Git repository.
This is a convenience which creates an instance of the CreateCodeRepositoryRequest.Builder avoiding the
need to create one manually via CreateCodeRepositoryRequest.builder()
createCodeRepositoryRequest - A Consumer that will call methods on CreateCodeRepositoryInput.Builder to create a
request.default CompletableFuture<CreateCompilationJobResponse> createCompilationJob(CreateCompilationJobRequest createCompilationJobRequest)
Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with AWS IoT Greengrass. In that case, deploy them as an ML resource.
In the request body, you provide the following:
A name for the compilation job
Information about the input model artifacts
The output location for the compiled model and the device (target) that the model runs on
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the model compilation job.
You can also provide a Tag to track the model compilation job's resource use and costs. The response
body contains the CompilationJobArn for the compiled job.
To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
createCompilationJobRequest - default CompletableFuture<CreateCompilationJobResponse> createCompilationJob(Consumer<CreateCompilationJobRequest.Builder> createCompilationJobRequest)
Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with AWS IoT Greengrass. In that case, deploy them as an ML resource.
In the request body, you provide the following:
A name for the compilation job
Information about the input model artifacts
The output location for the compiled model and the device (target) that the model runs on
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the model compilation job.
You can also provide a Tag to track the model compilation job's resource use and costs. The response
body contains the CompilationJobArn for the compiled job.
To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
This is a convenience which creates an instance of the CreateCompilationJobRequest.Builder avoiding the
need to create one manually via CreateCompilationJobRequest.builder()
createCompilationJobRequest - A Consumer that will call methods on CreateCompilationJobRequest.Builder to create a
request.default CompletableFuture<CreateDomainResponse> createDomain(CreateDomainRequest createDomainRequest)
Creates a Domain used by Amazon SageMaker Studio. A domain consists of an associated Amazon Elastic
File System (EFS) volume, a list of authorized users, and a variety of security, application, policy, and Amazon
Virtual Private Cloud (VPC) configurations. An AWS account is limited to one domain per region. Users within a
domain can share notebook files and other artifacts with each other.
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
VPC configuration
All SageMaker Studio traffic between the domain and the EFS volume is through the specified VPC and subnets. For
other Studio traffic, you can specify the AppNetworkAccessType parameter.
AppNetworkAccessType corresponds to the network access type that you choose when you onboard to
Studio. The following options are available:
PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker, which allows
internet access. This is the default value.
VpcOnly - All Studio traffic is through the specified VPC and subnets. Internet access is disabled
by default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won't be able to train or host models unless your VPC has an interface endpoint (PrivateLink) or a NAT gateway and your security groups allow outbound connections.
VpcOnly network access type
When you choose VpcOnly, you must specify the following:
Security group inbound and outbound rules to allow NFS traffic over TCP on port 2049 between the domain and the EFS volume
Security group inbound and outbound rules to allow traffic between the JupyterServer app and the KernelGateway apps
Interface endpoints to access the SageMaker API and SageMaker runtime
For more information, see:
createDomainRequest - default CompletableFuture<CreateDomainResponse> createDomain(Consumer<CreateDomainRequest.Builder> createDomainRequest)
Creates a Domain used by Amazon SageMaker Studio. A domain consists of an associated Amazon Elastic
File System (EFS) volume, a list of authorized users, and a variety of security, application, policy, and Amazon
Virtual Private Cloud (VPC) configurations. An AWS account is limited to one domain per region. Users within a
domain can share notebook files and other artifacts with each other.
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
VPC configuration
All SageMaker Studio traffic between the domain and the EFS volume is through the specified VPC and subnets. For
other Studio traffic, you can specify the AppNetworkAccessType parameter.
AppNetworkAccessType corresponds to the network access type that you choose when you onboard to
Studio. The following options are available:
PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker, which allows
internet access. This is the default value.
VpcOnly - All Studio traffic is through the specified VPC and subnets. Internet access is disabled
by default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won't be able to train or host models unless your VPC has an interface endpoint (PrivateLink) or a NAT gateway and your security groups allow outbound connections.
VpcOnly network access type
When you choose VpcOnly, you must specify the following:
Security group inbound and outbound rules to allow NFS traffic over TCP on port 2049 between the domain and the EFS volume
Security group inbound and outbound rules to allow traffic between the JupyterServer app and the KernelGateway apps
Interface endpoints to access the SageMaker API and SageMaker runtime
For more information, see:
This is a convenience which creates an instance of the CreateDomainRequest.Builder avoiding the need to
create one manually via CreateDomainRequest.builder()
createDomainRequest - A Consumer that will call methods on CreateDomainRequest.Builder to create a request.default CompletableFuture<CreateEndpointResponse> createEndpoint(CreateEndpointRequest createEndpointRequest)
Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API to deploy models using Amazon SageMaker hosting services.
For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)).
You must not delete an EndpointConfig that is in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig.
The endpoint name must be unique within an AWS Region in your AWS account.
When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration
exists. When you read data from a DynamoDB table supporting
Eventually Consistent Reads , the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a
DynamoDB eventually consistent read.
When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it
creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming
requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS in an AWS Region in the AWS Identity and Access Management User Guide.
createEndpointRequest - default CompletableFuture<CreateEndpointResponse> createEndpoint(Consumer<CreateEndpointRequest.Builder> createEndpointRequest)
Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API to deploy models using Amazon SageMaker hosting services.
For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)).
You must not delete an EndpointConfig that is in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig.
The endpoint name must be unique within an AWS Region in your AWS account.
When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration
exists. When you read data from a DynamoDB table supporting
Eventually Consistent Reads , the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a
DynamoDB eventually consistent read.
When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it
creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming
requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS in an AWS Region in the AWS Identity and Access Management User Guide.
This is a convenience which creates an instance of the CreateEndpointRequest.Builder avoiding the need to
create one manually via CreateEndpointRequest.builder()
createEndpointRequest - A Consumer that will call methods on CreateEndpointInput.Builder to create a request.default CompletableFuture<CreateEndpointConfigResponse> createEndpointConfig(CreateEndpointConfigRequest createEndpointConfigRequest)
Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the
configuration, you identify one or more models, created using the CreateModel API, to deploy and the
resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API.
Use this API if you want to use Amazon SageMaker hosting services to deploy models into production.
In the request, you define a ProductionVariant, for each model that you want to deploy. Each
ProductionVariant parameter also describes the resources that you want Amazon SageMaker to
provision. This includes the number and type of ML compute instances to deploy.
If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you
want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign
traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model
A, and one-third to model B.
For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)).
When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration
exists. When you read data from a DynamoDB table supporting
Eventually Consistent Reads , the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a
DynamoDB eventually consistent read.
createEndpointConfigRequest - default CompletableFuture<CreateEndpointConfigResponse> createEndpointConfig(Consumer<CreateEndpointConfigRequest.Builder> createEndpointConfigRequest)
Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the
configuration, you identify one or more models, created using the CreateModel API, to deploy and the
resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API.
Use this API if you want to use Amazon SageMaker hosting services to deploy models into production.
In the request, you define a ProductionVariant, for each model that you want to deploy. Each
ProductionVariant parameter also describes the resources that you want Amazon SageMaker to
provision. This includes the number and type of ML compute instances to deploy.
If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you
want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign
traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model
A, and one-third to model B.
For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)).
When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration
exists. When you read data from a DynamoDB table supporting
Eventually Consistent Reads , the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a
DynamoDB eventually consistent read.
This is a convenience which creates an instance of the CreateEndpointConfigRequest.Builder avoiding the
need to create one manually via CreateEndpointConfigRequest.builder()
createEndpointConfigRequest - A Consumer that will call methods on CreateEndpointConfigInput.Builder to create a
request.default CompletableFuture<CreateExperimentResponse> createExperiment(CreateExperimentRequest createExperimentRequest)
Creates an SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.
To add a description to an experiment, specify the optional Description parameter. To add a
description later, or to change the description, call the UpdateExperiment API.
To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
createExperimentRequest - default CompletableFuture<CreateExperimentResponse> createExperiment(Consumer<CreateExperimentRequest.Builder> createExperimentRequest)
Creates an SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.
To add a description to an experiment, specify the optional Description parameter. To add a
description later, or to change the description, call the UpdateExperiment API.
To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
This is a convenience which creates an instance of the CreateExperimentRequest.Builder avoiding the need
to create one manually via CreateExperimentRequest.builder()
createExperimentRequest - A Consumer that will call methods on CreateExperimentRequest.Builder to create a request.default CompletableFuture<CreateFlowDefinitionResponse> createFlowDefinition(CreateFlowDefinitionRequest createFlowDefinitionRequest)
Creates a flow definition.
createFlowDefinitionRequest - default CompletableFuture<CreateFlowDefinitionResponse> createFlowDefinition(Consumer<CreateFlowDefinitionRequest.Builder> createFlowDefinitionRequest)
Creates a flow definition.
This is a convenience which creates an instance of the CreateFlowDefinitionRequest.Builder avoiding the
need to create one manually via CreateFlowDefinitionRequest.builder()
createFlowDefinitionRequest - A Consumer that will call methods on CreateFlowDefinitionRequest.Builder to create a
request.default CompletableFuture<CreateHumanTaskUiResponse> createHumanTaskUi(CreateHumanTaskUiRequest createHumanTaskUiRequest)
Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
createHumanTaskUiRequest - default CompletableFuture<CreateHumanTaskUiResponse> createHumanTaskUi(Consumer<CreateHumanTaskUiRequest.Builder> createHumanTaskUiRequest)
Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
This is a convenience which creates an instance of the CreateHumanTaskUiRequest.Builder avoiding the need
to create one manually via CreateHumanTaskUiRequest.builder()
createHumanTaskUiRequest - A Consumer that will call methods on CreateHumanTaskUiRequest.Builder to create a request.default CompletableFuture<CreateHyperParameterTuningJobResponse> createHyperParameterTuningJob(CreateHyperParameterTuningJobRequest createHyperParameterTuningJobRequest)
Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
createHyperParameterTuningJobRequest - default CompletableFuture<CreateHyperParameterTuningJobResponse> createHyperParameterTuningJob(Consumer<CreateHyperParameterTuningJobRequest.Builder> createHyperParameterTuningJobRequest)
Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
This is a convenience which creates an instance of the CreateHyperParameterTuningJobRequest.Builder
avoiding the need to create one manually via CreateHyperParameterTuningJobRequest.builder()
createHyperParameterTuningJobRequest - A Consumer that will call methods on CreateHyperParameterTuningJobRequest.Builder to
create a request.default CompletableFuture<CreateLabelingJobResponse> createLabelingJob(CreateLabelingJobRequest createLabelingJobRequest)
Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.
You can select your workforce from one of three providers:
A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.
One or more vendors that you select from the AWS Marketplace. Vendors provide expertise in specific areas.
The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.
You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling.
The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data.
The output can be used as the manifest file for another labeling job or as training data for your machine learning models.
createLabelingJobRequest - default CompletableFuture<CreateLabelingJobResponse> createLabelingJob(Consumer<CreateLabelingJobRequest.Builder> createLabelingJobRequest)
Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.
You can select your workforce from one of three providers:
A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.
One or more vendors that you select from the AWS Marketplace. Vendors provide expertise in specific areas.
The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.
You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling.
The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data.
The output can be used as the manifest file for another labeling job or as training data for your machine learning models.
This is a convenience which creates an instance of the CreateLabelingJobRequest.Builder avoiding the need
to create one manually via CreateLabelingJobRequest.builder()
createLabelingJobRequest - A Consumer that will call methods on CreateLabelingJobRequest.Builder to create a request.default CompletableFuture<CreateModelResponse> createModel(CreateModelRequest createModelRequest)
Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use Amazon SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then
create an endpoint with the CreateEndpoint API. Amazon SageMaker then deploys all of the containers
that you defined for the model in the hosting environment.
For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)).
To run a batch transform using your model, you start a job with the CreateTransformJob API. Amazon
SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
In the CreateModel request, you must define a container with the PrimaryContainer
parameter.
In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other AWS resources, you grant necessary permissions via this role.
createModelRequest - default CompletableFuture<CreateModelResponse> createModel(Consumer<CreateModelRequest.Builder> createModelRequest)
Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use Amazon SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then
create an endpoint with the CreateEndpoint API. Amazon SageMaker then deploys all of the containers
that you defined for the model in the hosting environment.
For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)).
To run a batch transform using your model, you start a job with the CreateTransformJob API. Amazon
SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
In the CreateModel request, you must define a container with the PrimaryContainer
parameter.
In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other AWS resources, you grant necessary permissions via this role.
This is a convenience which creates an instance of the CreateModelRequest.Builder avoiding the need to
create one manually via CreateModelRequest.builder()
createModelRequest - A Consumer that will call methods on CreateModelInput.Builder to create a request.default CompletableFuture<CreateModelPackageResponse> createModelPackage(CreateModelPackageRequest createModelPackageRequest)
Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
To create a model package by specifying a Docker container that contains your inference code and the Amazon S3
location of your model artifacts, provide values for InferenceSpecification. To create a model from
an algorithm resource that you created or subscribed to in AWS Marketplace, provide a value for
SourceAlgorithmSpecification.
createModelPackageRequest - default CompletableFuture<CreateModelPackageResponse> createModelPackage(Consumer<CreateModelPackageRequest.Builder> createModelPackageRequest)
Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
To create a model package by specifying a Docker container that contains your inference code and the Amazon S3
location of your model artifacts, provide values for InferenceSpecification. To create a model from
an algorithm resource that you created or subscribed to in AWS Marketplace, provide a value for
SourceAlgorithmSpecification.
This is a convenience which creates an instance of the CreateModelPackageRequest.Builder avoiding the
need to create one manually via CreateModelPackageRequest.builder()
createModelPackageRequest - A Consumer that will call methods on CreateModelPackageInput.Builder to create a request.default CompletableFuture<CreateMonitoringScheduleResponse> createMonitoringSchedule(CreateMonitoringScheduleRequest createMonitoringScheduleRequest)
Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endoint.
createMonitoringScheduleRequest - default CompletableFuture<CreateMonitoringScheduleResponse> createMonitoringSchedule(Consumer<CreateMonitoringScheduleRequest.Builder> createMonitoringScheduleRequest)
Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endoint.
This is a convenience which creates an instance of the CreateMonitoringScheduleRequest.Builder avoiding
the need to create one manually via CreateMonitoringScheduleRequest.builder()
createMonitoringScheduleRequest - A Consumer that will call methods on CreateMonitoringScheduleRequest.Builder to create a
request.default CompletableFuture<CreateNotebookInstanceResponse> createNotebookInstance(CreateNotebookInstanceRequest createNotebookInstanceRequest)
Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.
In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run.
Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model
training, and attaches an ML storage volume to the notebook instance.
Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework.
After receiving the request, Amazon SageMaker does the following:
Creates a network interface in the Amazon SageMaker VPC.
(Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC,
which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon
SageMaker attaches the security group that you specified in the request to the network interface that it creates
in your VPC.
Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified
SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this
instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security
groups allow it.
After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.
After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.
For more information, see How It Works.
createNotebookInstanceRequest - default CompletableFuture<CreateNotebookInstanceResponse> createNotebookInstance(Consumer<CreateNotebookInstanceRequest.Builder> createNotebookInstanceRequest)
Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.
In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run.
Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model
training, and attaches an ML storage volume to the notebook instance.
Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework.
After receiving the request, Amazon SageMaker does the following:
Creates a network interface in the Amazon SageMaker VPC.
(Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC,
which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon
SageMaker attaches the security group that you specified in the request to the network interface that it creates
in your VPC.
Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified
SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this
instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security
groups allow it.
After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.
After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.
For more information, see How It Works.
This is a convenience which creates an instance of the CreateNotebookInstanceRequest.Builder avoiding the
need to create one manually via CreateNotebookInstanceRequest.builder()
createNotebookInstanceRequest - A Consumer that will call methods on CreateNotebookInstanceInput.Builder to create a
request.default CompletableFuture<CreateNotebookInstanceLifecycleConfigResponse> createNotebookInstanceLifecycleConfig(CreateNotebookInstanceLifecycleConfigRequest createNotebookInstanceLifecycleConfigRequest)
Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH environment variable that is available to both scripts is
/sbin:bin:/usr/sbin:/usr/bin.
View CloudWatch Logs for notebook instance lifecycle configurations in log group
/aws/sagemaker/NotebookInstances in log stream
[notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
createNotebookInstanceLifecycleConfigRequest - default CompletableFuture<CreateNotebookInstanceLifecycleConfigResponse> createNotebookInstanceLifecycleConfig(Consumer<CreateNotebookInstanceLifecycleConfigRequest.Builder> createNotebookInstanceLifecycleConfigRequest)
Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH environment variable that is available to both scripts is
/sbin:bin:/usr/sbin:/usr/bin.
View CloudWatch Logs for notebook instance lifecycle configurations in log group
/aws/sagemaker/NotebookInstances in log stream
[notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
This is a convenience which creates an instance of the
CreateNotebookInstanceLifecycleConfigRequest.Builder avoiding the need to create one manually via
CreateNotebookInstanceLifecycleConfigRequest.builder()
createNotebookInstanceLifecycleConfigRequest - A Consumer that will call methods on CreateNotebookInstanceLifecycleConfigInput.Builder to
create a request.default CompletableFuture<CreatePresignedDomainUrlResponse> createPresignedDomainUrl(CreatePresignedDomainUrlRequest createPresignedDomainUrlRequest)
Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to Amazon SageMaker Studio, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System (EFS) volume. This operation can only be called when the authentication mode equals IAM.
The URL that you get from a call to CreatePresignedDomainUrl is valid only for 5 minutes. If you try
to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page.
createPresignedDomainUrlRequest - default CompletableFuture<CreatePresignedDomainUrlResponse> createPresignedDomainUrl(Consumer<CreatePresignedDomainUrlRequest.Builder> createPresignedDomainUrlRequest)
Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to Amazon SageMaker Studio, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System (EFS) volume. This operation can only be called when the authentication mode equals IAM.
The URL that you get from a call to CreatePresignedDomainUrl is valid only for 5 minutes. If you try
to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page.
This is a convenience which creates an instance of the CreatePresignedDomainUrlRequest.Builder avoiding
the need to create one manually via CreatePresignedDomainUrlRequest.builder()
createPresignedDomainUrlRequest - A Consumer that will call methods on CreatePresignedDomainUrlRequest.Builder to create a
request.default CompletableFuture<CreatePresignedNotebookInstanceUrlResponse> createPresignedNotebookInstanceUrl(CreatePresignedNotebookInstanceUrlRequest createPresignedNotebookInstanceUrlRequest)
Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker
console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing
the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the
page.
The IAM role or user used to call this API defines the permissions to access the notebook instance. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.
You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify.
Use the NotIpAddress condition operator and the aws:SourceIP condition context key to
specify the list of IP addresses that you want to have access to the notebook instance. For more information, see
Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page.
createPresignedNotebookInstanceUrlRequest - default CompletableFuture<CreatePresignedNotebookInstanceUrlResponse> createPresignedNotebookInstanceUrl(Consumer<CreatePresignedNotebookInstanceUrlRequest.Builder> createPresignedNotebookInstanceUrlRequest)
Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker
console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing
the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the
page.
The IAM role or user used to call this API defines the permissions to access the notebook instance. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.
You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify.
Use the NotIpAddress condition operator and the aws:SourceIP condition context key to
specify the list of IP addresses that you want to have access to the notebook instance. For more information, see
Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page.
This is a convenience which creates an instance of the CreatePresignedNotebookInstanceUrlRequest.Builder
avoiding the need to create one manually via CreatePresignedNotebookInstanceUrlRequest.builder()
createPresignedNotebookInstanceUrlRequest - A Consumer that will call methods on CreatePresignedNotebookInstanceUrlInput.Builder to
create a request.default CompletableFuture<CreateProcessingJobResponse> createProcessingJob(CreateProcessingJobRequest createProcessingJobRequest)
Creates a processing job.
createProcessingJobRequest - default CompletableFuture<CreateProcessingJobResponse> createProcessingJob(Consumer<CreateProcessingJobRequest.Builder> createProcessingJobRequest)
Creates a processing job.
This is a convenience which creates an instance of the CreateProcessingJobRequest.Builder avoiding the
need to create one manually via CreateProcessingJobRequest.builder()
createProcessingJobRequest - A Consumer that will call methods on CreateProcessingJobRequest.Builder to create a
request.default CompletableFuture<CreateTrainingJobResponse> createTrainingJob(CreateTrainingJobRequest createTrainingJobRequest)
Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences.
In the request body, you provide the following:
AlgorithmSpecification - Identifies the training algorithm to use.
HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model
parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of
hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms.
InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is
stored.
OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the
results of model training.
ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy
for model training. In distributed training, you specify more than one instance.
EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by
using Amazon EC2 Spot instances. For more information, see Managed Spot
Training.
RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your
behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can
successfully complete model training.
StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time
limit for training. Use MaxWaitTimeInSeconds to specify how long you are willing to wait for a
managed spot training job to complete.
For more information about Amazon SageMaker, see How It Works.
createTrainingJobRequest - default CompletableFuture<CreateTrainingJobResponse> createTrainingJob(Consumer<CreateTrainingJobRequest.Builder> createTrainingJobRequest)
Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences.
In the request body, you provide the following:
AlgorithmSpecification - Identifies the training algorithm to use.
HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model
parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of
hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms.
InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is
stored.
OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the
results of model training.
ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy
for model training. In distributed training, you specify more than one instance.
EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by
using Amazon EC2 Spot instances. For more information, see Managed Spot
Training.
RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your
behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can
successfully complete model training.
StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time
limit for training. Use MaxWaitTimeInSeconds to specify how long you are willing to wait for a
managed spot training job to complete.
For more information about Amazon SageMaker, see How It Works.
This is a convenience which creates an instance of the CreateTrainingJobRequest.Builder avoiding the need
to create one manually via CreateTrainingJobRequest.builder()
createTrainingJobRequest - A Consumer that will call methods on CreateTrainingJobRequest.Builder to create a request.default CompletableFuture<CreateTransformJobResponse> createTransformJob(CreateTransformJobRequest createTransformJobRequest)
Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
To perform batch transformations, you create a transform job and use the data that you have readily available.
In the request body, you provide the following:
TransformJobName - Identifies the transform job. The name must be unique within an AWS Region in an
AWS account.
ModelName - Identifies the model to use. ModelName must be the name of an existing
Amazon SageMaker model in the same AWS Region and AWS account. For information on creating a model, see
CreateModel.
TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is
stored.
TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the
results from the transform job.
TransformResources - Identifies the ML compute instances for the transform job.
For more information about how batch transformation works, see Batch Transform.
createTransformJobRequest - default CompletableFuture<CreateTransformJobResponse> createTransformJob(Consumer<CreateTransformJobRequest.Builder> createTransformJobRequest)
Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
To perform batch transformations, you create a transform job and use the data that you have readily available.
In the request body, you provide the following:
TransformJobName - Identifies the transform job. The name must be unique within an AWS Region in an
AWS account.
ModelName - Identifies the model to use. ModelName must be the name of an existing
Amazon SageMaker model in the same AWS Region and AWS account. For information on creating a model, see
CreateModel.
TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is
stored.
TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the
results from the transform job.
TransformResources - Identifies the ML compute instances for the transform job.
For more information about how batch transformation works, see Batch Transform.
This is a convenience which creates an instance of the CreateTransformJobRequest.Builder avoiding the
need to create one manually via CreateTransformJobRequest.builder()
createTransformJobRequest - A Consumer that will call methods on CreateTransformJobRequest.Builder to create a
request.default CompletableFuture<CreateTrialResponse> createTrial(CreateTrialRequest createTrialRequest)
Creates an Amazon SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single Amazon SageMaker experiment.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial and then use the Search API to search for the tags.
To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.
createTrialRequest - default CompletableFuture<CreateTrialResponse> createTrial(Consumer<CreateTrialRequest.Builder> createTrialRequest)
Creates an Amazon SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single Amazon SageMaker experiment.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial and then use the Search API to search for the tags.
To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.
This is a convenience which creates an instance of the CreateTrialRequest.Builder avoiding the need to
create one manually via CreateTrialRequest.builder()
createTrialRequest - A Consumer that will call methods on CreateTrialRequest.Builder to create a request.default CompletableFuture<CreateTrialComponentResponse> createTrialComponent(CreateTrialComponentRequest createTrialComponentRequest)
Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.
Trial components include pre-processing jobs, training jobs, and batch transform jobs.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial component and then use the Search API to search for the tags.
CreateTrialComponent can only be invoked from within an Amazon SageMaker managed environment. This
includes Amazon SageMaker training jobs, processing jobs, transform jobs, and Amazon SageMaker notebooks. A call
to CreateTrialComponent from outside one of these environments results in an error.
createTrialComponentRequest - default CompletableFuture<CreateTrialComponentResponse> createTrialComponent(Consumer<CreateTrialComponentRequest.Builder> createTrialComponentRequest)
Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.
Trial components include pre-processing jobs, training jobs, and batch transform jobs.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial component and then use the Search API to search for the tags.
CreateTrialComponent can only be invoked from within an Amazon SageMaker managed environment. This
includes Amazon SageMaker training jobs, processing jobs, transform jobs, and Amazon SageMaker notebooks. A call
to CreateTrialComponent from outside one of these environments results in an error.
This is a convenience which creates an instance of the CreateTrialComponentRequest.Builder avoiding the
need to create one manually via CreateTrialComponentRequest.builder()
createTrialComponentRequest - A Consumer that will call methods on CreateTrialComponentRequest.Builder to create a
request.default CompletableFuture<CreateUserProfileResponse> createUserProfile(CreateUserProfileRequest createUserProfileRequest)
Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to Amazon SageMaker Studio. If an administrator invites a person by email or imports them from SSO, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System (EFS) home directory.
createUserProfileRequest - default CompletableFuture<CreateUserProfileResponse> createUserProfile(Consumer<CreateUserProfileRequest.Builder> createUserProfileRequest)
Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to Amazon SageMaker Studio. If an administrator invites a person by email or imports them from SSO, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System (EFS) home directory.
This is a convenience which creates an instance of the CreateUserProfileRequest.Builder avoiding the need
to create one manually via CreateUserProfileRequest.builder()
createUserProfileRequest - A Consumer that will call methods on CreateUserProfileRequest.Builder to create a request.default CompletableFuture<CreateWorkforceResponse> createWorkforce(CreateWorkforceRequest createWorkforceRequest)
Use this operation to create a workforce. This operation will return an error if a workforce already exists in the AWS Region that you specify. You can only create one workforce in each AWS Region per AWS account.
If you want to create a new workforce in an AWS Region where a workforce already exists, use the API operation to
delete the existing workforce and then use CreateWorkforce to create a new workforce.
To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in
CognitoConfig. You can also create an Amazon Cognito workforce using the Amazon SageMaker console.
For more information, see Create a Private
Workforce (Amazon Cognito).
To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in
OidcConfig. Your OIDC IdP must support groups because groups are used by Ground Truth and
Amazon A2I to create work teams. For more information, see Create a Private
Workforce (OIDC IdP).
createWorkforceRequest - default CompletableFuture<CreateWorkforceResponse> createWorkforce(Consumer<CreateWorkforceRequest.Builder> createWorkforceRequest)
Use this operation to create a workforce. This operation will return an error if a workforce already exists in the AWS Region that you specify. You can only create one workforce in each AWS Region per AWS account.
If you want to create a new workforce in an AWS Region where a workforce already exists, use the API operation to
delete the existing workforce and then use CreateWorkforce to create a new workforce.
To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in
CognitoConfig. You can also create an Amazon Cognito workforce using the Amazon SageMaker console.
For more information, see Create a Private
Workforce (Amazon Cognito).
To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in
OidcConfig. Your OIDC IdP must support groups because groups are used by Ground Truth and
Amazon A2I to create work teams. For more information, see Create a Private
Workforce (OIDC IdP).
This is a convenience which creates an instance of the CreateWorkforceRequest.Builder avoiding the need
to create one manually via CreateWorkforceRequest.builder()
createWorkforceRequest - A Consumer that will call methods on CreateWorkforceRequest.Builder to create a request.default CompletableFuture<CreateWorkteamResponse> createWorkteam(CreateWorkteamRequest createWorkteamRequest)
Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.
You cannot create more than 25 work teams in an account and region.
createWorkteamRequest - default CompletableFuture<CreateWorkteamResponse> createWorkteam(Consumer<CreateWorkteamRequest.Builder> createWorkteamRequest)
Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.
You cannot create more than 25 work teams in an account and region.
This is a convenience which creates an instance of the CreateWorkteamRequest.Builder avoiding the need to
create one manually via CreateWorkteamRequest.builder()
createWorkteamRequest - A Consumer that will call methods on CreateWorkteamRequest.Builder to create a request.default CompletableFuture<DeleteAlgorithmResponse> deleteAlgorithm(DeleteAlgorithmRequest deleteAlgorithmRequest)
Removes the specified algorithm from your account.
deleteAlgorithmRequest - default CompletableFuture<DeleteAlgorithmResponse> deleteAlgorithm(Consumer<DeleteAlgorithmRequest.Builder> deleteAlgorithmRequest)
Removes the specified algorithm from your account.
This is a convenience which creates an instance of the DeleteAlgorithmRequest.Builder avoiding the need
to create one manually via DeleteAlgorithmRequest.builder()
deleteAlgorithmRequest - A Consumer that will call methods on DeleteAlgorithmInput.Builder to create a request.default CompletableFuture<DeleteAppResponse> deleteApp(DeleteAppRequest deleteAppRequest)
Used to stop and delete an app.
deleteAppRequest - default CompletableFuture<DeleteAppResponse> deleteApp(Consumer<DeleteAppRequest.Builder> deleteAppRequest)
Used to stop and delete an app.
This is a convenience which creates an instance of the DeleteAppRequest.Builder avoiding the need to
create one manually via DeleteAppRequest.builder()
deleteAppRequest - A Consumer that will call methods on DeleteAppRequest.Builder to create a request.default CompletableFuture<DeleteCodeRepositoryResponse> deleteCodeRepository(DeleteCodeRepositoryRequest deleteCodeRepositoryRequest)
Deletes the specified Git repository from your account.
deleteCodeRepositoryRequest - default CompletableFuture<DeleteCodeRepositoryResponse> deleteCodeRepository(Consumer<DeleteCodeRepositoryRequest.Builder> deleteCodeRepositoryRequest)
Deletes the specified Git repository from your account.
This is a convenience which creates an instance of the DeleteCodeRepositoryRequest.Builder avoiding the
need to create one manually via DeleteCodeRepositoryRequest.builder()
deleteCodeRepositoryRequest - A Consumer that will call methods on DeleteCodeRepositoryInput.Builder to create a
request.default CompletableFuture<DeleteDomainResponse> deleteDomain(DeleteDomainRequest deleteDomainRequest)
Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using SSO. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
deleteDomainRequest - default CompletableFuture<DeleteDomainResponse> deleteDomain(Consumer<DeleteDomainRequest.Builder> deleteDomainRequest)
Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using SSO. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
This is a convenience which creates an instance of the DeleteDomainRequest.Builder avoiding the need to
create one manually via DeleteDomainRequest.builder()
deleteDomainRequest - A Consumer that will call methods on DeleteDomainRequest.Builder to create a request.default CompletableFuture<DeleteEndpointResponse> deleteEndpoint(DeleteEndpointRequest deleteEndpointRequest)
Deletes an endpoint. Amazon SageMaker frees up all of the resources that were deployed when the endpoint was created.
Amazon SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.
deleteEndpointRequest - default CompletableFuture<DeleteEndpointResponse> deleteEndpoint(Consumer<DeleteEndpointRequest.Builder> deleteEndpointRequest)
Deletes an endpoint. Amazon SageMaker frees up all of the resources that were deployed when the endpoint was created.
Amazon SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.
This is a convenience which creates an instance of the DeleteEndpointRequest.Builder avoiding the need to
create one manually via DeleteEndpointRequest.builder()
deleteEndpointRequest - A Consumer that will call methods on DeleteEndpointInput.Builder to create a request.default CompletableFuture<DeleteEndpointConfigResponse> deleteEndpointConfig(DeleteEndpointConfigRequest deleteEndpointConfigRequest)
Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified
configuration. It does not delete endpoints created using the configuration.
You must not delete an EndpointConfig in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. If you
delete the EndpointConfig of an endpoint that is active or being created or updated you may lose
visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring
charges.
deleteEndpointConfigRequest - default CompletableFuture<DeleteEndpointConfigResponse> deleteEndpointConfig(Consumer<DeleteEndpointConfigRequest.Builder> deleteEndpointConfigRequest)
Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified
configuration. It does not delete endpoints created using the configuration.
You must not delete an EndpointConfig in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. If you
delete the EndpointConfig of an endpoint that is active or being created or updated you may lose
visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring
charges.
This is a convenience which creates an instance of the DeleteEndpointConfigRequest.Builder avoiding the
need to create one manually via DeleteEndpointConfigRequest.builder()
deleteEndpointConfigRequest - A Consumer that will call methods on DeleteEndpointConfigInput.Builder to create a
request.default CompletableFuture<DeleteExperimentResponse> deleteExperiment(DeleteExperimentRequest deleteExperimentRequest)
Deletes an Amazon SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
deleteExperimentRequest - default CompletableFuture<DeleteExperimentResponse> deleteExperiment(Consumer<DeleteExperimentRequest.Builder> deleteExperimentRequest)
Deletes an Amazon SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
This is a convenience which creates an instance of the DeleteExperimentRequest.Builder avoiding the need
to create one manually via DeleteExperimentRequest.builder()
deleteExperimentRequest - A Consumer that will call methods on DeleteExperimentRequest.Builder to create a request.default CompletableFuture<DeleteFlowDefinitionResponse> deleteFlowDefinition(DeleteFlowDefinitionRequest deleteFlowDefinitionRequest)
Deletes the specified flow definition.
deleteFlowDefinitionRequest - default CompletableFuture<DeleteFlowDefinitionResponse> deleteFlowDefinition(Consumer<DeleteFlowDefinitionRequest.Builder> deleteFlowDefinitionRequest)
Deletes the specified flow definition.
This is a convenience which creates an instance of the DeleteFlowDefinitionRequest.Builder avoiding the
need to create one manually via DeleteFlowDefinitionRequest.builder()
deleteFlowDefinitionRequest - A Consumer that will call methods on DeleteFlowDefinitionRequest.Builder to create a
request.default CompletableFuture<DeleteHumanTaskUiResponse> deleteHumanTaskUi(DeleteHumanTaskUiRequest deleteHumanTaskUiRequest)
Use this operation to delete a human task user interface (worker task template).
To see a list of human task user interfaces (work task templates) in your account, use . When you delete a worker
task template, it no longer appears when you call ListHumanTaskUis.
deleteHumanTaskUiRequest - default CompletableFuture<DeleteHumanTaskUiResponse> deleteHumanTaskUi(Consumer<DeleteHumanTaskUiRequest.Builder> deleteHumanTaskUiRequest)
Use this operation to delete a human task user interface (worker task template).
To see a list of human task user interfaces (work task templates) in your account, use . When you delete a worker
task template, it no longer appears when you call ListHumanTaskUis.
This is a convenience which creates an instance of the DeleteHumanTaskUiRequest.Builder avoiding the need
to create one manually via DeleteHumanTaskUiRequest.builder()
deleteHumanTaskUiRequest - A Consumer that will call methods on DeleteHumanTaskUiRequest.Builder to create a request.default CompletableFuture<DeleteModelResponse> deleteModel(DeleteModelRequest deleteModelRequest)
Deletes a model. The DeleteModel API deletes only the model entry that was created in Amazon
SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the
IAM role that you specified when creating the model.
deleteModelRequest - default CompletableFuture<DeleteModelResponse> deleteModel(Consumer<DeleteModelRequest.Builder> deleteModelRequest)
Deletes a model. The DeleteModel API deletes only the model entry that was created in Amazon
SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the
IAM role that you specified when creating the model.
This is a convenience which creates an instance of the DeleteModelRequest.Builder avoiding the need to
create one manually via DeleteModelRequest.builder()
deleteModelRequest - A Consumer that will call methods on DeleteModelInput.Builder to create a request.default CompletableFuture<DeleteModelPackageResponse> deleteModelPackage(DeleteModelPackageRequest deleteModelPackageRequest)
Deletes a model package.
A model package is used to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
deleteModelPackageRequest - default CompletableFuture<DeleteModelPackageResponse> deleteModelPackage(Consumer<DeleteModelPackageRequest.Builder> deleteModelPackageRequest)
Deletes a model package.
A model package is used to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
This is a convenience which creates an instance of the DeleteModelPackageRequest.Builder avoiding the
need to create one manually via DeleteModelPackageRequest.builder()
deleteModelPackageRequest - A Consumer that will call methods on DeleteModelPackageInput.Builder to create a request.default CompletableFuture<DeleteMonitoringScheduleResponse> deleteMonitoringSchedule(DeleteMonitoringScheduleRequest deleteMonitoringScheduleRequest)
Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
deleteMonitoringScheduleRequest - default CompletableFuture<DeleteMonitoringScheduleResponse> deleteMonitoringSchedule(Consumer<DeleteMonitoringScheduleRequest.Builder> deleteMonitoringScheduleRequest)
Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
This is a convenience which creates an instance of the DeleteMonitoringScheduleRequest.Builder avoiding
the need to create one manually via DeleteMonitoringScheduleRequest.builder()
deleteMonitoringScheduleRequest - A Consumer that will call methods on DeleteMonitoringScheduleRequest.Builder to create a
request.default CompletableFuture<DeleteNotebookInstanceResponse> deleteNotebookInstance(DeleteNotebookInstanceRequest deleteNotebookInstanceRequest)
Deletes an Amazon SageMaker notebook instance. Before you can delete a notebook instance, you must call the
StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. Amazon SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.
deleteNotebookInstanceRequest - default CompletableFuture<DeleteNotebookInstanceResponse> deleteNotebookInstance(Consumer<DeleteNotebookInstanceRequest.Builder> deleteNotebookInstanceRequest)
Deletes an Amazon SageMaker notebook instance. Before you can delete a notebook instance, you must call the
StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. Amazon SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.
This is a convenience which creates an instance of the DeleteNotebookInstanceRequest.Builder avoiding the
need to create one manually via DeleteNotebookInstanceRequest.builder()
deleteNotebookInstanceRequest - A Consumer that will call methods on DeleteNotebookInstanceInput.Builder to create a
request.default CompletableFuture<DeleteNotebookInstanceLifecycleConfigResponse> deleteNotebookInstanceLifecycleConfig(DeleteNotebookInstanceLifecycleConfigRequest deleteNotebookInstanceLifecycleConfigRequest)
Deletes a notebook instance lifecycle configuration.
deleteNotebookInstanceLifecycleConfigRequest - default CompletableFuture<DeleteNotebookInstanceLifecycleConfigResponse> deleteNotebookInstanceLifecycleConfig(Consumer<DeleteNotebookInstanceLifecycleConfigRequest.Builder> deleteNotebookInstanceLifecycleConfigRequest)
Deletes a notebook instance lifecycle configuration.
This is a convenience which creates an instance of the
DeleteNotebookInstanceLifecycleConfigRequest.Builder avoiding the need to create one manually via
DeleteNotebookInstanceLifecycleConfigRequest.builder()
deleteNotebookInstanceLifecycleConfigRequest - A Consumer that will call methods on DeleteNotebookInstanceLifecycleConfigInput.Builder to
create a request.default CompletableFuture<DeleteTagsResponse> deleteTags(DeleteTagsRequest deleteTagsRequest)
Deletes the specified tags from an Amazon SageMaker resource.
To list a resource's tags, use the ListTags API.
When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
deleteTagsRequest - default CompletableFuture<DeleteTagsResponse> deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)
Deletes the specified tags from an Amazon SageMaker resource.
To list a resource's tags, use the ListTags API.
When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
This is a convenience which creates an instance of the DeleteTagsRequest.Builder avoiding the need to
create one manually via DeleteTagsRequest.builder()
deleteTagsRequest - A Consumer that will call methods on DeleteTagsInput.Builder to create a request.default CompletableFuture<DeleteTrialResponse> deleteTrial(DeleteTrialRequest deleteTrialRequest)
Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
deleteTrialRequest - default CompletableFuture<DeleteTrialResponse> deleteTrial(Consumer<DeleteTrialRequest.Builder> deleteTrialRequest)
Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
This is a convenience which creates an instance of the DeleteTrialRequest.Builder avoiding the need to
create one manually via DeleteTrialRequest.builder()
deleteTrialRequest - A Consumer that will call methods on DeleteTrialRequest.Builder to create a request.default CompletableFuture<DeleteTrialComponentResponse> deleteTrialComponent(DeleteTrialComponentRequest deleteTrialComponentRequest)
Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
deleteTrialComponentRequest - default CompletableFuture<DeleteTrialComponentResponse> deleteTrialComponent(Consumer<DeleteTrialComponentRequest.Builder> deleteTrialComponentRequest)
Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
This is a convenience which creates an instance of the DeleteTrialComponentRequest.Builder avoiding the
need to create one manually via DeleteTrialComponentRequest.builder()
deleteTrialComponentRequest - A Consumer that will call methods on DeleteTrialComponentRequest.Builder to create a
request.default CompletableFuture<DeleteUserProfileResponse> deleteUserProfile(DeleteUserProfileRequest deleteUserProfileRequest)
Deletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts.
deleteUserProfileRequest - default CompletableFuture<DeleteUserProfileResponse> deleteUserProfile(Consumer<DeleteUserProfileRequest.Builder> deleteUserProfileRequest)
Deletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts.
This is a convenience which creates an instance of the DeleteUserProfileRequest.Builder avoiding the need
to create one manually via DeleteUserProfileRequest.builder()
deleteUserProfileRequest - A Consumer that will call methods on DeleteUserProfileRequest.Builder to create a request.default CompletableFuture<DeleteWorkforceResponse> deleteWorkforce(DeleteWorkforceRequest deleteWorkforceRequest)
Use this operation to delete a workforce.
If you want to create a new workforce in an AWS Region where a workforce already exists, use this operation to delete the existing workforce and then use to create a new workforce.
If a private workforce contains one or more work teams, you must use the operation to delete all work teams
before you delete the workforce. If you try to delete a workforce that contains one or more work teams, you will
recieve a ResourceInUse error.
deleteWorkforceRequest - default CompletableFuture<DeleteWorkforceResponse> deleteWorkforce(Consumer<DeleteWorkforceRequest.Builder> deleteWorkforceRequest)
Use this operation to delete a workforce.
If you want to create a new workforce in an AWS Region where a workforce already exists, use this operation to delete the existing workforce and then use to create a new workforce.
If a private workforce contains one or more work teams, you must use the operation to delete all work teams
before you delete the workforce. If you try to delete a workforce that contains one or more work teams, you will
recieve a ResourceInUse error.
This is a convenience which creates an instance of the DeleteWorkforceRequest.Builder avoiding the need
to create one manually via DeleteWorkforceRequest.builder()
deleteWorkforceRequest - A Consumer that will call methods on DeleteWorkforceRequest.Builder to create a request.default CompletableFuture<DeleteWorkteamResponse> deleteWorkteam(DeleteWorkteamRequest deleteWorkteamRequest)
Deletes an existing work team. This operation can't be undone.
deleteWorkteamRequest - default CompletableFuture<DeleteWorkteamResponse> deleteWorkteam(Consumer<DeleteWorkteamRequest.Builder> deleteWorkteamRequest)
Deletes an existing work team. This operation can't be undone.
This is a convenience which creates an instance of the DeleteWorkteamRequest.Builder avoiding the need to
create one manually via DeleteWorkteamRequest.builder()
deleteWorkteamRequest - A Consumer that will call methods on DeleteWorkteamRequest.Builder to create a request.default CompletableFuture<DescribeAlgorithmResponse> describeAlgorithm(DescribeAlgorithmRequest describeAlgorithmRequest)
Returns a description of the specified algorithm that is in your account.
describeAlgorithmRequest - default CompletableFuture<DescribeAlgorithmResponse> describeAlgorithm(Consumer<DescribeAlgorithmRequest.Builder> describeAlgorithmRequest)
Returns a description of the specified algorithm that is in your account.
This is a convenience which creates an instance of the DescribeAlgorithmRequest.Builder avoiding the need
to create one manually via DescribeAlgorithmRequest.builder()
describeAlgorithmRequest - A Consumer that will call methods on DescribeAlgorithmInput.Builder to create a request.default CompletableFuture<DescribeAppResponse> describeApp(DescribeAppRequest describeAppRequest)
Describes the app.
describeAppRequest - default CompletableFuture<DescribeAppResponse> describeApp(Consumer<DescribeAppRequest.Builder> describeAppRequest)
Describes the app.
This is a convenience which creates an instance of the DescribeAppRequest.Builder avoiding the need to
create one manually via DescribeAppRequest.builder()
describeAppRequest - A Consumer that will call methods on DescribeAppRequest.Builder to create a request.default CompletableFuture<DescribeAutoMlJobResponse> describeAutoMLJob(DescribeAutoMlJobRequest describeAutoMlJobRequest)
Returns information about an Amazon SageMaker job.
describeAutoMlJobRequest - default CompletableFuture<DescribeAutoMlJobResponse> describeAutoMLJob(Consumer<DescribeAutoMlJobRequest.Builder> describeAutoMlJobRequest)
Returns information about an Amazon SageMaker job.
This is a convenience which creates an instance of the DescribeAutoMlJobRequest.Builder avoiding the need
to create one manually via DescribeAutoMlJobRequest.builder()
describeAutoMlJobRequest - A Consumer that will call methods on DescribeAutoMLJobRequest.Builder to create a request.default CompletableFuture<DescribeCodeRepositoryResponse> describeCodeRepository(DescribeCodeRepositoryRequest describeCodeRepositoryRequest)
Gets details about the specified Git repository.
describeCodeRepositoryRequest - default CompletableFuture<DescribeCodeRepositoryResponse> describeCodeRepository(Consumer<DescribeCodeRepositoryRequest.Builder> describeCodeRepositoryRequest)
Gets details about the specified Git repository.
This is a convenience which creates an instance of the DescribeCodeRepositoryRequest.Builder avoiding the
need to create one manually via DescribeCodeRepositoryRequest.builder()
describeCodeRepositoryRequest - A Consumer that will call methods on DescribeCodeRepositoryInput.Builder to create a
request.default CompletableFuture<DescribeCompilationJobResponse> describeCompilationJob(DescribeCompilationJobRequest describeCompilationJobRequest)
Returns information about a model compilation job.
To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
describeCompilationJobRequest - default CompletableFuture<DescribeCompilationJobResponse> describeCompilationJob(Consumer<DescribeCompilationJobRequest.Builder> describeCompilationJobRequest)
Returns information about a model compilation job.
To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
This is a convenience which creates an instance of the DescribeCompilationJobRequest.Builder avoiding the
need to create one manually via DescribeCompilationJobRequest.builder()
describeCompilationJobRequest - A Consumer that will call methods on DescribeCompilationJobRequest.Builder to create a
request.default CompletableFuture<DescribeDomainResponse> describeDomain(DescribeDomainRequest describeDomainRequest)
The description of the domain.
describeDomainRequest - default CompletableFuture<DescribeDomainResponse> describeDomain(Consumer<DescribeDomainRequest.Builder> describeDomainRequest)
The description of the domain.
This is a convenience which creates an instance of the DescribeDomainRequest.Builder avoiding the need to
create one manually via DescribeDomainRequest.builder()
describeDomainRequest - A Consumer that will call methods on DescribeDomainRequest.Builder to create a request.default CompletableFuture<DescribeEndpointResponse> describeEndpoint(DescribeEndpointRequest describeEndpointRequest)
Returns the description of an endpoint.
describeEndpointRequest - default CompletableFuture<DescribeEndpointResponse> describeEndpoint(Consumer<DescribeEndpointRequest.Builder> describeEndpointRequest)
Returns the description of an endpoint.
This is a convenience which creates an instance of the DescribeEndpointRequest.Builder avoiding the need
to create one manually via DescribeEndpointRequest.builder()
describeEndpointRequest - A Consumer that will call methods on DescribeEndpointInput.Builder to create a request.default CompletableFuture<DescribeEndpointConfigResponse> describeEndpointConfig(DescribeEndpointConfigRequest describeEndpointConfigRequest)
Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
describeEndpointConfigRequest - default CompletableFuture<DescribeEndpointConfigResponse> describeEndpointConfig(Consumer<DescribeEndpointConfigRequest.Builder> describeEndpointConfigRequest)
Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
This is a convenience which creates an instance of the DescribeEndpointConfigRequest.Builder avoiding the
need to create one manually via DescribeEndpointConfigRequest.builder()
describeEndpointConfigRequest - A Consumer that will call methods on DescribeEndpointConfigInput.Builder to create a
request.default CompletableFuture<DescribeExperimentResponse> describeExperiment(DescribeExperimentRequest describeExperimentRequest)
Provides a list of an experiment's properties.
describeExperimentRequest - default CompletableFuture<DescribeExperimentResponse> describeExperiment(Consumer<DescribeExperimentRequest.Builder> describeExperimentRequest)
Provides a list of an experiment's properties.
This is a convenience which creates an instance of the DescribeExperimentRequest.Builder avoiding the
need to create one manually via DescribeExperimentRequest.builder()
describeExperimentRequest - A Consumer that will call methods on DescribeExperimentRequest.Builder to create a
request.default CompletableFuture<DescribeFlowDefinitionResponse> describeFlowDefinition(DescribeFlowDefinitionRequest describeFlowDefinitionRequest)
Returns information about the specified flow definition.
describeFlowDefinitionRequest - default CompletableFuture<DescribeFlowDefinitionResponse> describeFlowDefinition(Consumer<DescribeFlowDefinitionRequest.Builder> describeFlowDefinitionRequest)
Returns information about the specified flow definition.
This is a convenience which creates an instance of the DescribeFlowDefinitionRequest.Builder avoiding the
need to create one manually via DescribeFlowDefinitionRequest.builder()
describeFlowDefinitionRequest - A Consumer that will call methods on DescribeFlowDefinitionRequest.Builder to create a
request.default CompletableFuture<DescribeHumanTaskUiResponse> describeHumanTaskUi(DescribeHumanTaskUiRequest describeHumanTaskUiRequest)
Returns information about the requested human task user interface (worker task template).
describeHumanTaskUiRequest - default CompletableFuture<DescribeHumanTaskUiResponse> describeHumanTaskUi(Consumer<DescribeHumanTaskUiRequest.Builder> describeHumanTaskUiRequest)
Returns information about the requested human task user interface (worker task template).
This is a convenience which creates an instance of the DescribeHumanTaskUiRequest.Builder avoiding the
need to create one manually via DescribeHumanTaskUiRequest.builder()
describeHumanTaskUiRequest - A Consumer that will call methods on DescribeHumanTaskUiRequest.Builder to create a
request.default CompletableFuture<DescribeHyperParameterTuningJobResponse> describeHyperParameterTuningJob(DescribeHyperParameterTuningJobRequest describeHyperParameterTuningJobRequest)
Gets a description of a hyperparameter tuning job.
describeHyperParameterTuningJobRequest - default CompletableFuture<DescribeHyperParameterTuningJobResponse> describeHyperParameterTuningJob(Consumer<DescribeHyperParameterTuningJobRequest.Builder> describeHyperParameterTuningJobRequest)
Gets a description of a hyperparameter tuning job.
This is a convenience which creates an instance of the DescribeHyperParameterTuningJobRequest.Builder
avoiding the need to create one manually via DescribeHyperParameterTuningJobRequest.builder()
describeHyperParameterTuningJobRequest - A Consumer that will call methods on DescribeHyperParameterTuningJobRequest.Builder to
create a request.default CompletableFuture<DescribeLabelingJobResponse> describeLabelingJob(DescribeLabelingJobRequest describeLabelingJobRequest)
Gets information about a labeling job.
describeLabelingJobRequest - default CompletableFuture<DescribeLabelingJobResponse> describeLabelingJob(Consumer<DescribeLabelingJobRequest.Builder> describeLabelingJobRequest)
Gets information about a labeling job.
This is a convenience which creates an instance of the DescribeLabelingJobRequest.Builder avoiding the
need to create one manually via DescribeLabelingJobRequest.builder()
describeLabelingJobRequest - A Consumer that will call methods on DescribeLabelingJobRequest.Builder to create a
request.default CompletableFuture<DescribeModelResponse> describeModel(DescribeModelRequest describeModelRequest)
Describes a model that you created using the CreateModel API.
describeModelRequest - default CompletableFuture<DescribeModelResponse> describeModel(Consumer<DescribeModelRequest.Builder> describeModelRequest)
Describes a model that you created using the CreateModel API.
This is a convenience which creates an instance of the DescribeModelRequest.Builder avoiding the need to
create one manually via DescribeModelRequest.builder()
describeModelRequest - A Consumer that will call methods on DescribeModelInput.Builder to create a request.default CompletableFuture<DescribeModelPackageResponse> describeModelPackage(DescribeModelPackageRequest describeModelPackageRequest)
Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace.
To create models in Amazon SageMaker, buyers can subscribe to model packages listed on AWS Marketplace.
describeModelPackageRequest - default CompletableFuture<DescribeModelPackageResponse> describeModelPackage(Consumer<DescribeModelPackageRequest.Builder> describeModelPackageRequest)
Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace.
To create models in Amazon SageMaker, buyers can subscribe to model packages listed on AWS Marketplace.
This is a convenience which creates an instance of the DescribeModelPackageRequest.Builder avoiding the
need to create one manually via DescribeModelPackageRequest.builder()
describeModelPackageRequest - A Consumer that will call methods on DescribeModelPackageInput.Builder to create a
request.default CompletableFuture<DescribeMonitoringScheduleResponse> describeMonitoringSchedule(DescribeMonitoringScheduleRequest describeMonitoringScheduleRequest)
Describes the schedule for a monitoring job.
describeMonitoringScheduleRequest - default CompletableFuture<DescribeMonitoringScheduleResponse> describeMonitoringSchedule(Consumer<DescribeMonitoringScheduleRequest.Builder> describeMonitoringScheduleRequest)
Describes the schedule for a monitoring job.
This is a convenience which creates an instance of the DescribeMonitoringScheduleRequest.Builder avoiding
the need to create one manually via DescribeMonitoringScheduleRequest.builder()
describeMonitoringScheduleRequest - A Consumer that will call methods on DescribeMonitoringScheduleRequest.Builder to create a
request.default CompletableFuture<DescribeNotebookInstanceResponse> describeNotebookInstance(DescribeNotebookInstanceRequest describeNotebookInstanceRequest)
Returns information about a notebook instance.
describeNotebookInstanceRequest - default CompletableFuture<DescribeNotebookInstanceResponse> describeNotebookInstance(Consumer<DescribeNotebookInstanceRequest.Builder> describeNotebookInstanceRequest)
Returns information about a notebook instance.
This is a convenience which creates an instance of the DescribeNotebookInstanceRequest.Builder avoiding
the need to create one manually via DescribeNotebookInstanceRequest.builder()
describeNotebookInstanceRequest - A Consumer that will call methods on DescribeNotebookInstanceInput.Builder to create a
request.default CompletableFuture<DescribeNotebookInstanceLifecycleConfigResponse> describeNotebookInstanceLifecycleConfig(DescribeNotebookInstanceLifecycleConfigRequest describeNotebookInstanceLifecycleConfigRequest)
Returns a description of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
describeNotebookInstanceLifecycleConfigRequest - default CompletableFuture<DescribeNotebookInstanceLifecycleConfigResponse> describeNotebookInstanceLifecycleConfig(Consumer<DescribeNotebookInstanceLifecycleConfigRequest.Builder> describeNotebookInstanceLifecycleConfigRequest)
Returns a description of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
This is a convenience which creates an instance of the
DescribeNotebookInstanceLifecycleConfigRequest.Builder avoiding the need to create one manually via
DescribeNotebookInstanceLifecycleConfigRequest.builder()
describeNotebookInstanceLifecycleConfigRequest - A Consumer that will call methods on DescribeNotebookInstanceLifecycleConfigInput.Builder
to create a request.default CompletableFuture<DescribeProcessingJobResponse> describeProcessingJob(DescribeProcessingJobRequest describeProcessingJobRequest)
Returns a description of a processing job.
describeProcessingJobRequest - default CompletableFuture<DescribeProcessingJobResponse> describeProcessingJob(Consumer<DescribeProcessingJobRequest.Builder> describeProcessingJobRequest)
Returns a description of a processing job.
This is a convenience which creates an instance of the DescribeProcessingJobRequest.Builder avoiding the
need to create one manually via DescribeProcessingJobRequest.builder()
describeProcessingJobRequest - A Consumer that will call methods on DescribeProcessingJobRequest.Builder to create a
request.default CompletableFuture<DescribeSubscribedWorkteamResponse> describeSubscribedWorkteam(DescribeSubscribedWorkteamRequest describeSubscribedWorkteamRequest)
Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace.
describeSubscribedWorkteamRequest - default CompletableFuture<DescribeSubscribedWorkteamResponse> describeSubscribedWorkteam(Consumer<DescribeSubscribedWorkteamRequest.Builder> describeSubscribedWorkteamRequest)
Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace.
This is a convenience which creates an instance of the DescribeSubscribedWorkteamRequest.Builder avoiding
the need to create one manually via DescribeSubscribedWorkteamRequest.builder()
describeSubscribedWorkteamRequest - A Consumer that will call methods on DescribeSubscribedWorkteamRequest.Builder to create a
request.default CompletableFuture<DescribeTrainingJobResponse> describeTrainingJob(DescribeTrainingJobRequest describeTrainingJobRequest)
Returns information about a training job.
describeTrainingJobRequest - default CompletableFuture<DescribeTrainingJobResponse> describeTrainingJob(Consumer<DescribeTrainingJobRequest.Builder> describeTrainingJobRequest)
Returns information about a training job.
This is a convenience which creates an instance of the DescribeTrainingJobRequest.Builder avoiding the
need to create one manually via DescribeTrainingJobRequest.builder()
describeTrainingJobRequest - A Consumer that will call methods on DescribeTrainingJobRequest.Builder to create a
request.default CompletableFuture<DescribeTransformJobResponse> describeTransformJob(DescribeTransformJobRequest describeTransformJobRequest)
Returns information about a transform job.
describeTransformJobRequest - default CompletableFuture<DescribeTransformJobResponse> describeTransformJob(Consumer<DescribeTransformJobRequest.Builder> describeTransformJobRequest)
Returns information about a transform job.
This is a convenience which creates an instance of the DescribeTransformJobRequest.Builder avoiding the
need to create one manually via DescribeTransformJobRequest.builder()
describeTransformJobRequest - A Consumer that will call methods on DescribeTransformJobRequest.Builder to create a
request.default CompletableFuture<DescribeTrialResponse> describeTrial(DescribeTrialRequest describeTrialRequest)
Provides a list of a trial's properties.
describeTrialRequest - default CompletableFuture<DescribeTrialResponse> describeTrial(Consumer<DescribeTrialRequest.Builder> describeTrialRequest)
Provides a list of a trial's properties.
This is a convenience which creates an instance of the DescribeTrialRequest.Builder avoiding the need to
create one manually via DescribeTrialRequest.builder()
describeTrialRequest - A Consumer that will call methods on DescribeTrialRequest.Builder to create a request.default CompletableFuture<DescribeTrialComponentResponse> describeTrialComponent(DescribeTrialComponentRequest describeTrialComponentRequest)
Provides a list of a trials component's properties.
describeTrialComponentRequest - default CompletableFuture<DescribeTrialComponentResponse> describeTrialComponent(Consumer<DescribeTrialComponentRequest.Builder> describeTrialComponentRequest)
Provides a list of a trials component's properties.
This is a convenience which creates an instance of the DescribeTrialComponentRequest.Builder avoiding the
need to create one manually via DescribeTrialComponentRequest.builder()
describeTrialComponentRequest - A Consumer that will call methods on DescribeTrialComponentRequest.Builder to create a
request.default CompletableFuture<DescribeUserProfileResponse> describeUserProfile(DescribeUserProfileRequest describeUserProfileRequest)
Describes a user profile. For more information, see CreateUserProfile.
describeUserProfileRequest - default CompletableFuture<DescribeUserProfileResponse> describeUserProfile(Consumer<DescribeUserProfileRequest.Builder> describeUserProfileRequest)
Describes a user profile. For more information, see CreateUserProfile.
This is a convenience which creates an instance of the DescribeUserProfileRequest.Builder avoiding the
need to create one manually via DescribeUserProfileRequest.builder()
describeUserProfileRequest - A Consumer that will call methods on DescribeUserProfileRequest.Builder to create a
request.default CompletableFuture<DescribeWorkforceResponse> describeWorkforce(DescribeWorkforceRequest describeWorkforceRequest)
Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.
This operation applies only to private workforces.
describeWorkforceRequest - default CompletableFuture<DescribeWorkforceResponse> describeWorkforce(Consumer<DescribeWorkforceRequest.Builder> describeWorkforceRequest)
Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.
This operation applies only to private workforces.
This is a convenience which creates an instance of the DescribeWorkforceRequest.Builder avoiding the need
to create one manually via DescribeWorkforceRequest.builder()
describeWorkforceRequest - A Consumer that will call methods on DescribeWorkforceRequest.Builder to create a request.default CompletableFuture<DescribeWorkteamResponse> describeWorkteam(DescribeWorkteamRequest describeWorkteamRequest)
Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
describeWorkteamRequest - default CompletableFuture<DescribeWorkteamResponse> describeWorkteam(Consumer<DescribeWorkteamRequest.Builder> describeWorkteamRequest)
Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
This is a convenience which creates an instance of the DescribeWorkteamRequest.Builder avoiding the need
to create one manually via DescribeWorkteamRequest.builder()
describeWorkteamRequest - A Consumer that will call methods on DescribeWorkteamRequest.Builder to create a request.default CompletableFuture<DisassociateTrialComponentResponse> disassociateTrialComponent(DisassociateTrialComponentRequest disassociateTrialComponentRequest)
Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
To get a list of the trials a component is associated with, use the Search API. Specify
ExperimentTrialComponent for the Resource parameter. The list appears in the response
under Results.TrialComponent.Parents.
disassociateTrialComponentRequest - default CompletableFuture<DisassociateTrialComponentResponse> disassociateTrialComponent(Consumer<DisassociateTrialComponentRequest.Builder> disassociateTrialComponentRequest)
Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
To get a list of the trials a component is associated with, use the Search API. Specify
ExperimentTrialComponent for the Resource parameter. The list appears in the response
under Results.TrialComponent.Parents.
This is a convenience which creates an instance of the DisassociateTrialComponentRequest.Builder avoiding
the need to create one manually via DisassociateTrialComponentRequest.builder()
disassociateTrialComponentRequest - A Consumer that will call methods on DisassociateTrialComponentRequest.Builder to create a
request.default CompletableFuture<GetSearchSuggestionsResponse> getSearchSuggestions(GetSearchSuggestionsRequest getSearchSuggestionsRequest)
An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of
possible matches for the property name to use in Search queries. Provides suggestions for
HyperParameters, Tags, and Metrics.
getSearchSuggestionsRequest - default CompletableFuture<GetSearchSuggestionsResponse> getSearchSuggestions(Consumer<GetSearchSuggestionsRequest.Builder> getSearchSuggestionsRequest)
An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of
possible matches for the property name to use in Search queries. Provides suggestions for
HyperParameters, Tags, and Metrics.
This is a convenience which creates an instance of the GetSearchSuggestionsRequest.Builder avoiding the
need to create one manually via GetSearchSuggestionsRequest.builder()
getSearchSuggestionsRequest - A Consumer that will call methods on GetSearchSuggestionsRequest.Builder to create a
request.default CompletableFuture<ListAlgorithmsResponse> listAlgorithms(ListAlgorithmsRequest listAlgorithmsRequest)
Lists the machine learning algorithms that have been created.
listAlgorithmsRequest - default CompletableFuture<ListAlgorithmsResponse> listAlgorithms(Consumer<ListAlgorithmsRequest.Builder> listAlgorithmsRequest)
Lists the machine learning algorithms that have been created.
This is a convenience which creates an instance of the ListAlgorithmsRequest.Builder avoiding the need to
create one manually via ListAlgorithmsRequest.builder()
listAlgorithmsRequest - A Consumer that will call methods on ListAlgorithmsInput.Builder to create a request.default CompletableFuture<ListAlgorithmsResponse> listAlgorithms()
Lists the machine learning algorithms that have been created.
default ListAlgorithmsPublisher listAlgorithmsPaginator()
Lists the machine learning algorithms that have been created.
This is a variant of
listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsPublisher publisher = client.listAlgorithmsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsPublisher publisher = client.listAlgorithmsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation.
default ListAlgorithmsPublisher listAlgorithmsPaginator(ListAlgorithmsRequest listAlgorithmsRequest)
Lists the machine learning algorithms that have been created.
This is a variant of
listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsPublisher publisher = client.listAlgorithmsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsPublisher publisher = client.listAlgorithmsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation.
listAlgorithmsRequest - default ListAlgorithmsPublisher listAlgorithmsPaginator(Consumer<ListAlgorithmsRequest.Builder> listAlgorithmsRequest)
Lists the machine learning algorithms that have been created.
This is a variant of
listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsPublisher publisher = client.listAlgorithmsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsPublisher publisher = client.listAlgorithmsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation.
This is a convenience which creates an instance of the ListAlgorithmsRequest.Builder avoiding the need to
create one manually via ListAlgorithmsRequest.builder()
listAlgorithmsRequest - A Consumer that will call methods on ListAlgorithmsInput.Builder to create a request.default CompletableFuture<ListAppsResponse> listApps(ListAppsRequest listAppsRequest)
Lists apps.
listAppsRequest - default CompletableFuture<ListAppsResponse> listApps(Consumer<ListAppsRequest.Builder> listAppsRequest)
Lists apps.
This is a convenience which creates an instance of the ListAppsRequest.Builder avoiding the need to
create one manually via ListAppsRequest.builder()
listAppsRequest - A Consumer that will call methods on ListAppsRequest.Builder to create a request.default ListAppsPublisher listAppsPaginator(ListAppsRequest listAppsRequest)
Lists apps.
This is a variant of listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListAppsPublisher publisher = client.listAppsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListAppsPublisher publisher = client.listAppsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListAppsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListAppsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest) operation.
listAppsRequest - default ListAppsPublisher listAppsPaginator(Consumer<ListAppsRequest.Builder> listAppsRequest)
Lists apps.
This is a variant of listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListAppsPublisher publisher = client.listAppsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListAppsPublisher publisher = client.listAppsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListAppsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListAppsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest) operation.
This is a convenience which creates an instance of the ListAppsRequest.Builder avoiding the need to
create one manually via ListAppsRequest.builder()
listAppsRequest - A Consumer that will call methods on ListAppsRequest.Builder to create a request.default CompletableFuture<ListAutoMlJobsResponse> listAutoMLJobs(ListAutoMlJobsRequest listAutoMlJobsRequest)
Request a list of jobs.
listAutoMlJobsRequest - default CompletableFuture<ListAutoMlJobsResponse> listAutoMLJobs(Consumer<ListAutoMlJobsRequest.Builder> listAutoMlJobsRequest)
Request a list of jobs.
This is a convenience which creates an instance of the ListAutoMlJobsRequest.Builder avoiding the need to
create one manually via ListAutoMlJobsRequest.builder()
listAutoMlJobsRequest - A Consumer that will call methods on ListAutoMLJobsRequest.Builder to create a request.default ListAutoMLJobsPublisher listAutoMLJobsPaginator(ListAutoMlJobsRequest listAutoMlJobsRequest)
Request a list of jobs.
This is a variant of
listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsPublisher publisher = client.listAutoMLJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsPublisher publisher = client.listAutoMLJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation.
listAutoMlJobsRequest - default ListAutoMLJobsPublisher listAutoMLJobsPaginator(Consumer<ListAutoMlJobsRequest.Builder> listAutoMlJobsRequest)
Request a list of jobs.
This is a variant of
listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsPublisher publisher = client.listAutoMLJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsPublisher publisher = client.listAutoMLJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation.
This is a convenience which creates an instance of the ListAutoMlJobsRequest.Builder avoiding the need to
create one manually via ListAutoMlJobsRequest.builder()
listAutoMlJobsRequest - A Consumer that will call methods on ListAutoMLJobsRequest.Builder to create a request.default CompletableFuture<ListCandidatesForAutoMlJobResponse> listCandidatesForAutoMLJob(ListCandidatesForAutoMlJobRequest listCandidatesForAutoMlJobRequest)
List the Candidates created for the job.
listCandidatesForAutoMlJobRequest - default CompletableFuture<ListCandidatesForAutoMlJobResponse> listCandidatesForAutoMLJob(Consumer<ListCandidatesForAutoMlJobRequest.Builder> listCandidatesForAutoMlJobRequest)
List the Candidates created for the job.
This is a convenience which creates an instance of the ListCandidatesForAutoMlJobRequest.Builder avoiding
the need to create one manually via ListCandidatesForAutoMlJobRequest.builder()
listCandidatesForAutoMlJobRequest - A Consumer that will call methods on ListCandidatesForAutoMLJobRequest.Builder to create a
request.default ListCandidatesForAutoMLJobPublisher listCandidatesForAutoMLJobPaginator(ListCandidatesForAutoMlJobRequest listCandidatesForAutoMlJobRequest)
List the Candidates created for the job.
This is a variant of
listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobPublisher publisher = client.listCandidatesForAutoMLJobPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobPublisher publisher = client.listCandidatesForAutoMLJobPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest)
operation.
listCandidatesForAutoMlJobRequest - default ListCandidatesForAutoMLJobPublisher listCandidatesForAutoMLJobPaginator(Consumer<ListCandidatesForAutoMlJobRequest.Builder> listCandidatesForAutoMlJobRequest)
List the Candidates created for the job.
This is a variant of
listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobPublisher publisher = client.listCandidatesForAutoMLJobPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobPublisher publisher = client.listCandidatesForAutoMLJobPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest)
operation.
This is a convenience which creates an instance of the ListCandidatesForAutoMlJobRequest.Builder avoiding
the need to create one manually via ListCandidatesForAutoMlJobRequest.builder()
listCandidatesForAutoMlJobRequest - A Consumer that will call methods on ListCandidatesForAutoMLJobRequest.Builder to create a
request.default CompletableFuture<ListCodeRepositoriesResponse> listCodeRepositories(ListCodeRepositoriesRequest listCodeRepositoriesRequest)
Gets a list of the Git repositories in your account.
listCodeRepositoriesRequest - default CompletableFuture<ListCodeRepositoriesResponse> listCodeRepositories(Consumer<ListCodeRepositoriesRequest.Builder> listCodeRepositoriesRequest)
Gets a list of the Git repositories in your account.
This is a convenience which creates an instance of the ListCodeRepositoriesRequest.Builder avoiding the
need to create one manually via ListCodeRepositoriesRequest.builder()
listCodeRepositoriesRequest - A Consumer that will call methods on ListCodeRepositoriesInput.Builder to create a
request.default CompletableFuture<ListCodeRepositoriesResponse> listCodeRepositories()
Gets a list of the Git repositories in your account.
default ListCodeRepositoriesPublisher listCodeRepositoriesPaginator()
Gets a list of the Git repositories in your account.
This is a variant of
listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesPublisher publisher = client.listCodeRepositoriesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesPublisher publisher = client.listCodeRepositoriesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest)
operation.
default ListCodeRepositoriesPublisher listCodeRepositoriesPaginator(ListCodeRepositoriesRequest listCodeRepositoriesRequest)
Gets a list of the Git repositories in your account.
This is a variant of
listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesPublisher publisher = client.listCodeRepositoriesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesPublisher publisher = client.listCodeRepositoriesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest)
operation.
listCodeRepositoriesRequest - default ListCodeRepositoriesPublisher listCodeRepositoriesPaginator(Consumer<ListCodeRepositoriesRequest.Builder> listCodeRepositoriesRequest)
Gets a list of the Git repositories in your account.
This is a variant of
listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesPublisher publisher = client.listCodeRepositoriesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesPublisher publisher = client.listCodeRepositoriesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest)
operation.
This is a convenience which creates an instance of the ListCodeRepositoriesRequest.Builder avoiding the
need to create one manually via ListCodeRepositoriesRequest.builder()
listCodeRepositoriesRequest - A Consumer that will call methods on ListCodeRepositoriesInput.Builder to create a
request.default CompletableFuture<ListCompilationJobsResponse> listCompilationJobs(ListCompilationJobsRequest listCompilationJobsRequest)
Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
listCompilationJobsRequest - default CompletableFuture<ListCompilationJobsResponse> listCompilationJobs(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)
Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
This is a convenience which creates an instance of the ListCompilationJobsRequest.Builder avoiding the
need to create one manually via ListCompilationJobsRequest.builder()
listCompilationJobsRequest - A Consumer that will call methods on ListCompilationJobsRequest.Builder to create a
request.default CompletableFuture<ListCompilationJobsResponse> listCompilationJobs()
Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
default ListCompilationJobsPublisher listCompilationJobsPaginator()
Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
This is a variant of
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation.
default ListCompilationJobsPublisher listCompilationJobsPaginator(ListCompilationJobsRequest listCompilationJobsRequest)
Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
This is a variant of
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation.
listCompilationJobsRequest - default ListCompilationJobsPublisher listCompilationJobsPaginator(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)
Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
This is a variant of
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation.
This is a convenience which creates an instance of the ListCompilationJobsRequest.Builder avoiding the
need to create one manually via ListCompilationJobsRequest.builder()
listCompilationJobsRequest - A Consumer that will call methods on ListCompilationJobsRequest.Builder to create a
request.default CompletableFuture<ListDomainsResponse> listDomains(ListDomainsRequest listDomainsRequest)
Lists the domains.
listDomainsRequest - default CompletableFuture<ListDomainsResponse> listDomains(Consumer<ListDomainsRequest.Builder> listDomainsRequest)
Lists the domains.
This is a convenience which creates an instance of the ListDomainsRequest.Builder avoiding the need to
create one manually via ListDomainsRequest.builder()
listDomainsRequest - A Consumer that will call methods on ListDomainsRequest.Builder to create a request.default ListDomainsPublisher listDomainsPaginator(ListDomainsRequest listDomainsRequest)
Lists the domains.
This is a variant of listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListDomainsPublisher publisher = client.listDomainsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListDomainsPublisher publisher = client.listDomainsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListDomainsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListDomainsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest) operation.
listDomainsRequest - default ListDomainsPublisher listDomainsPaginator(Consumer<ListDomainsRequest.Builder> listDomainsRequest)
Lists the domains.
This is a variant of listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListDomainsPublisher publisher = client.listDomainsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListDomainsPublisher publisher = client.listDomainsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListDomainsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListDomainsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest) operation.
This is a convenience which creates an instance of the ListDomainsRequest.Builder avoiding the need to
create one manually via ListDomainsRequest.builder()
listDomainsRequest - A Consumer that will call methods on ListDomainsRequest.Builder to create a request.default CompletableFuture<ListEndpointConfigsResponse> listEndpointConfigs(ListEndpointConfigsRequest listEndpointConfigsRequest)
Lists endpoint configurations.
listEndpointConfigsRequest - default CompletableFuture<ListEndpointConfigsResponse> listEndpointConfigs(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)
Lists endpoint configurations.
This is a convenience which creates an instance of the ListEndpointConfigsRequest.Builder avoiding the
need to create one manually via ListEndpointConfigsRequest.builder()
listEndpointConfigsRequest - A Consumer that will call methods on ListEndpointConfigsInput.Builder to create a request.default CompletableFuture<ListEndpointConfigsResponse> listEndpointConfigs()
Lists endpoint configurations.
default ListEndpointConfigsPublisher listEndpointConfigsPaginator()
Lists endpoint configurations.
This is a variant of
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation.
default ListEndpointConfigsPublisher listEndpointConfigsPaginator(ListEndpointConfigsRequest listEndpointConfigsRequest)
Lists endpoint configurations.
This is a variant of
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation.
listEndpointConfigsRequest - default ListEndpointConfigsPublisher listEndpointConfigsPaginator(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)
Lists endpoint configurations.
This is a variant of
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation.
This is a convenience which creates an instance of the ListEndpointConfigsRequest.Builder avoiding the
need to create one manually via ListEndpointConfigsRequest.builder()
listEndpointConfigsRequest - A Consumer that will call methods on ListEndpointConfigsInput.Builder to create a request.default CompletableFuture<ListEndpointsResponse> listEndpoints(ListEndpointsRequest listEndpointsRequest)
Lists endpoints.
listEndpointsRequest - default CompletableFuture<ListEndpointsResponse> listEndpoints(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)
Lists endpoints.
This is a convenience which creates an instance of the ListEndpointsRequest.Builder avoiding the need to
create one manually via ListEndpointsRequest.builder()
listEndpointsRequest - A Consumer that will call methods on ListEndpointsInput.Builder to create a request.default CompletableFuture<ListEndpointsResponse> listEndpoints()
Lists endpoints.
default ListEndpointsPublisher listEndpointsPaginator()
Lists endpoints.
This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation.
default ListEndpointsPublisher listEndpointsPaginator(ListEndpointsRequest listEndpointsRequest)
Lists endpoints.
This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation.
listEndpointsRequest - default ListEndpointsPublisher listEndpointsPaginator(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)
Lists endpoints.
This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation.
This is a convenience which creates an instance of the ListEndpointsRequest.Builder avoiding the need to
create one manually via ListEndpointsRequest.builder()
listEndpointsRequest - A Consumer that will call methods on ListEndpointsInput.Builder to create a request.default CompletableFuture<ListExperimentsResponse> listExperiments(ListExperimentsRequest listExperimentsRequest)
Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
listExperimentsRequest - default CompletableFuture<ListExperimentsResponse> listExperiments(Consumer<ListExperimentsRequest.Builder> listExperimentsRequest)
Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
This is a convenience which creates an instance of the ListExperimentsRequest.Builder avoiding the need
to create one manually via ListExperimentsRequest.builder()
listExperimentsRequest - A Consumer that will call methods on ListExperimentsRequest.Builder to create a request.default ListExperimentsPublisher listExperimentsPaginator(ListExperimentsRequest listExperimentsRequest)
Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
This is a variant of
listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsPublisher publisher = client.listExperimentsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsPublisher publisher = client.listExperimentsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListExperimentsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListExperimentsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation.
listExperimentsRequest - default ListExperimentsPublisher listExperimentsPaginator(Consumer<ListExperimentsRequest.Builder> listExperimentsRequest)
Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
This is a variant of
listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsPublisher publisher = client.listExperimentsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsPublisher publisher = client.listExperimentsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListExperimentsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListExperimentsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation.
This is a convenience which creates an instance of the ListExperimentsRequest.Builder avoiding the need
to create one manually via ListExperimentsRequest.builder()
listExperimentsRequest - A Consumer that will call methods on ListExperimentsRequest.Builder to create a request.default CompletableFuture<ListFlowDefinitionsResponse> listFlowDefinitions(ListFlowDefinitionsRequest listFlowDefinitionsRequest)
Returns information about the flow definitions in your account.
listFlowDefinitionsRequest - default CompletableFuture<ListFlowDefinitionsResponse> listFlowDefinitions(Consumer<ListFlowDefinitionsRequest.Builder> listFlowDefinitionsRequest)
Returns information about the flow definitions in your account.
This is a convenience which creates an instance of the ListFlowDefinitionsRequest.Builder avoiding the
need to create one manually via ListFlowDefinitionsRequest.builder()
listFlowDefinitionsRequest - A Consumer that will call methods on ListFlowDefinitionsRequest.Builder to create a
request.default ListFlowDefinitionsPublisher listFlowDefinitionsPaginator(ListFlowDefinitionsRequest listFlowDefinitionsRequest)
Returns information about the flow definitions in your account.
This is a variant of
listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsPublisher publisher = client.listFlowDefinitionsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsPublisher publisher = client.listFlowDefinitionsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest)
operation.
listFlowDefinitionsRequest - default ListFlowDefinitionsPublisher listFlowDefinitionsPaginator(Consumer<ListFlowDefinitionsRequest.Builder> listFlowDefinitionsRequest)
Returns information about the flow definitions in your account.
This is a variant of
listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsPublisher publisher = client.listFlowDefinitionsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsPublisher publisher = client.listFlowDefinitionsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest)
operation.
This is a convenience which creates an instance of the ListFlowDefinitionsRequest.Builder avoiding the
need to create one manually via ListFlowDefinitionsRequest.builder()
listFlowDefinitionsRequest - A Consumer that will call methods on ListFlowDefinitionsRequest.Builder to create a
request.default CompletableFuture<ListHumanTaskUisResponse> listHumanTaskUis(ListHumanTaskUisRequest listHumanTaskUisRequest)
Returns information about the human task user interfaces in your account.
listHumanTaskUisRequest - default CompletableFuture<ListHumanTaskUisResponse> listHumanTaskUis(Consumer<ListHumanTaskUisRequest.Builder> listHumanTaskUisRequest)
Returns information about the human task user interfaces in your account.
This is a convenience which creates an instance of the ListHumanTaskUisRequest.Builder avoiding the need
to create one manually via ListHumanTaskUisRequest.builder()
listHumanTaskUisRequest - A Consumer that will call methods on ListHumanTaskUisRequest.Builder to create a request.default ListHumanTaskUisPublisher listHumanTaskUisPaginator(ListHumanTaskUisRequest listHumanTaskUisRequest)
Returns information about the human task user interfaces in your account.
This is a variant of
listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisPublisher publisher = client.listHumanTaskUisPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisPublisher publisher = client.listHumanTaskUisPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation.
listHumanTaskUisRequest - default ListHumanTaskUisPublisher listHumanTaskUisPaginator(Consumer<ListHumanTaskUisRequest.Builder> listHumanTaskUisRequest)
Returns information about the human task user interfaces in your account.
This is a variant of
listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisPublisher publisher = client.listHumanTaskUisPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisPublisher publisher = client.listHumanTaskUisPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation.
This is a convenience which creates an instance of the ListHumanTaskUisRequest.Builder avoiding the need
to create one manually via ListHumanTaskUisRequest.builder()
listHumanTaskUisRequest - A Consumer that will call methods on ListHumanTaskUisRequest.Builder to create a request.default CompletableFuture<ListHyperParameterTuningJobsResponse> listHyperParameterTuningJobs(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
listHyperParameterTuningJobsRequest - default CompletableFuture<ListHyperParameterTuningJobsResponse> listHyperParameterTuningJobs(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
This is a convenience which creates an instance of the ListHyperParameterTuningJobsRequest.Builder
avoiding the need to create one manually via ListHyperParameterTuningJobsRequest.builder()
listHyperParameterTuningJobsRequest - A Consumer that will call methods on ListHyperParameterTuningJobsRequest.Builder to create
a request.default CompletableFuture<ListHyperParameterTuningJobsResponse> listHyperParameterTuningJobs()
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
default ListHyperParameterTuningJobsPublisher listHyperParameterTuningJobsPaginator()
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
This is a variant of
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation.
default ListHyperParameterTuningJobsPublisher listHyperParameterTuningJobsPaginator(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
This is a variant of
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation.
listHyperParameterTuningJobsRequest - default ListHyperParameterTuningJobsPublisher listHyperParameterTuningJobsPaginator(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
This is a variant of
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation.
This is a convenience which creates an instance of the ListHyperParameterTuningJobsRequest.Builder
avoiding the need to create one manually via ListHyperParameterTuningJobsRequest.builder()
listHyperParameterTuningJobsRequest - A Consumer that will call methods on ListHyperParameterTuningJobsRequest.Builder to create
a request.default CompletableFuture<ListLabelingJobsResponse> listLabelingJobs(ListLabelingJobsRequest listLabelingJobsRequest)
Gets a list of labeling jobs.
listLabelingJobsRequest - default CompletableFuture<ListLabelingJobsResponse> listLabelingJobs(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)
Gets a list of labeling jobs.
This is a convenience which creates an instance of the ListLabelingJobsRequest.Builder avoiding the need
to create one manually via ListLabelingJobsRequest.builder()
listLabelingJobsRequest - A Consumer that will call methods on ListLabelingJobsRequest.Builder to create a request.default CompletableFuture<ListLabelingJobsResponse> listLabelingJobs()
Gets a list of labeling jobs.
default CompletableFuture<ListLabelingJobsForWorkteamResponse> listLabelingJobsForWorkteam(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
listLabelingJobsForWorkteamRequest - default CompletableFuture<ListLabelingJobsForWorkteamResponse> listLabelingJobsForWorkteam(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
This is a convenience which creates an instance of the ListLabelingJobsForWorkteamRequest.Builder
avoiding the need to create one manually via ListLabelingJobsForWorkteamRequest.builder()
listLabelingJobsForWorkteamRequest - A Consumer that will call methods on ListLabelingJobsForWorkteamRequest.Builder to create
a request.default ListLabelingJobsForWorkteamPublisher listLabelingJobsForWorkteamPaginator(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
This is a variant of
listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamPublisher publisher = client.listLabelingJobsForWorkteamPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamPublisher publisher = client.listLabelingJobsForWorkteamPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest)
operation.
listLabelingJobsForWorkteamRequest - default ListLabelingJobsForWorkteamPublisher listLabelingJobsForWorkteamPaginator(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
This is a variant of
listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamPublisher publisher = client.listLabelingJobsForWorkteamPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamPublisher publisher = client.listLabelingJobsForWorkteamPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest)
operation.
This is a convenience which creates an instance of the ListLabelingJobsForWorkteamRequest.Builder
avoiding the need to create one manually via ListLabelingJobsForWorkteamRequest.builder()
listLabelingJobsForWorkteamRequest - A Consumer that will call methods on ListLabelingJobsForWorkteamRequest.Builder to create
a request.default ListLabelingJobsPublisher listLabelingJobsPaginator()
Gets a list of labeling jobs.
This is a variant of
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation.
default ListLabelingJobsPublisher listLabelingJobsPaginator(ListLabelingJobsRequest listLabelingJobsRequest)
Gets a list of labeling jobs.
This is a variant of
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation.
listLabelingJobsRequest - default ListLabelingJobsPublisher listLabelingJobsPaginator(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)
Gets a list of labeling jobs.
This is a variant of
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation.
This is a convenience which creates an instance of the ListLabelingJobsRequest.Builder avoiding the need
to create one manually via ListLabelingJobsRequest.builder()
listLabelingJobsRequest - A Consumer that will call methods on ListLabelingJobsRequest.Builder to create a request.default CompletableFuture<ListModelPackagesResponse> listModelPackages(ListModelPackagesRequest listModelPackagesRequest)
Lists the model packages that have been created.
listModelPackagesRequest - default CompletableFuture<ListModelPackagesResponse> listModelPackages(Consumer<ListModelPackagesRequest.Builder> listModelPackagesRequest)
Lists the model packages that have been created.
This is a convenience which creates an instance of the ListModelPackagesRequest.Builder avoiding the need
to create one manually via ListModelPackagesRequest.builder()
listModelPackagesRequest - A Consumer that will call methods on ListModelPackagesInput.Builder to create a request.default CompletableFuture<ListModelPackagesResponse> listModelPackages()
Lists the model packages that have been created.
default ListModelPackagesPublisher listModelPackagesPaginator()
Lists the model packages that have been created.
This is a variant of
listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesPublisher publisher = client.listModelPackagesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesPublisher publisher = client.listModelPackagesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListModelPackagesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest)
operation.
default ListModelPackagesPublisher listModelPackagesPaginator(ListModelPackagesRequest listModelPackagesRequest)
Lists the model packages that have been created.
This is a variant of
listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesPublisher publisher = client.listModelPackagesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesPublisher publisher = client.listModelPackagesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListModelPackagesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest)
operation.
listModelPackagesRequest - default ListModelPackagesPublisher listModelPackagesPaginator(Consumer<ListModelPackagesRequest.Builder> listModelPackagesRequest)
Lists the model packages that have been created.
This is a variant of
listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesPublisher publisher = client.listModelPackagesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesPublisher publisher = client.listModelPackagesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListModelPackagesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest)
operation.
This is a convenience which creates an instance of the ListModelPackagesRequest.Builder avoiding the need
to create one manually via ListModelPackagesRequest.builder()
listModelPackagesRequest - A Consumer that will call methods on ListModelPackagesInput.Builder to create a request.default CompletableFuture<ListModelsResponse> listModels(ListModelsRequest listModelsRequest)
Lists models created with the CreateModel API.
listModelsRequest - default CompletableFuture<ListModelsResponse> listModels(Consumer<ListModelsRequest.Builder> listModelsRequest)
Lists models created with the CreateModel API.
This is a convenience which creates an instance of the ListModelsRequest.Builder avoiding the need to
create one manually via ListModelsRequest.builder()
listModelsRequest - A Consumer that will call methods on ListModelsInput.Builder to create a request.default CompletableFuture<ListModelsResponse> listModels()
Lists models created with the CreateModel API.
default ListModelsPublisher listModelsPaginator()
Lists models created with the CreateModel API.
This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListModelsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListModelsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation.
default ListModelsPublisher listModelsPaginator(ListModelsRequest listModelsRequest)
Lists models created with the CreateModel API.
This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListModelsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListModelsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation.
listModelsRequest - default ListModelsPublisher listModelsPaginator(Consumer<ListModelsRequest.Builder> listModelsRequest)
Lists models created with the CreateModel API.
This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListModelsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListModelsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation.
This is a convenience which creates an instance of the ListModelsRequest.Builder avoiding the need to
create one manually via ListModelsRequest.builder()
listModelsRequest - A Consumer that will call methods on ListModelsInput.Builder to create a request.default CompletableFuture<ListMonitoringExecutionsResponse> listMonitoringExecutions(ListMonitoringExecutionsRequest listMonitoringExecutionsRequest)
Returns list of all monitoring job executions.
listMonitoringExecutionsRequest - default CompletableFuture<ListMonitoringExecutionsResponse> listMonitoringExecutions(Consumer<ListMonitoringExecutionsRequest.Builder> listMonitoringExecutionsRequest)
Returns list of all monitoring job executions.
This is a convenience which creates an instance of the ListMonitoringExecutionsRequest.Builder avoiding
the need to create one manually via ListMonitoringExecutionsRequest.builder()
listMonitoringExecutionsRequest - A Consumer that will call methods on ListMonitoringExecutionsRequest.Builder to create a
request.default ListMonitoringExecutionsPublisher listMonitoringExecutionsPaginator(ListMonitoringExecutionsRequest listMonitoringExecutionsRequest)
Returns list of all monitoring job executions.
This is a variant of
listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsPublisher publisher = client.listMonitoringExecutionsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsPublisher publisher = client.listMonitoringExecutionsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest)
operation.
listMonitoringExecutionsRequest - default ListMonitoringExecutionsPublisher listMonitoringExecutionsPaginator(Consumer<ListMonitoringExecutionsRequest.Builder> listMonitoringExecutionsRequest)
Returns list of all monitoring job executions.
This is a variant of
listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsPublisher publisher = client.listMonitoringExecutionsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsPublisher publisher = client.listMonitoringExecutionsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest)
operation.
This is a convenience which creates an instance of the ListMonitoringExecutionsRequest.Builder avoiding
the need to create one manually via ListMonitoringExecutionsRequest.builder()
listMonitoringExecutionsRequest - A Consumer that will call methods on ListMonitoringExecutionsRequest.Builder to create a
request.default CompletableFuture<ListMonitoringSchedulesResponse> listMonitoringSchedules(ListMonitoringSchedulesRequest listMonitoringSchedulesRequest)
Returns list of all monitoring schedules.
listMonitoringSchedulesRequest - default CompletableFuture<ListMonitoringSchedulesResponse> listMonitoringSchedules(Consumer<ListMonitoringSchedulesRequest.Builder> listMonitoringSchedulesRequest)
Returns list of all monitoring schedules.
This is a convenience which creates an instance of the ListMonitoringSchedulesRequest.Builder avoiding
the need to create one manually via ListMonitoringSchedulesRequest.builder()
listMonitoringSchedulesRequest - A Consumer that will call methods on ListMonitoringSchedulesRequest.Builder to create a
request.default ListMonitoringSchedulesPublisher listMonitoringSchedulesPaginator(ListMonitoringSchedulesRequest listMonitoringSchedulesRequest)
Returns list of all monitoring schedules.
This is a variant of
listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesPublisher publisher = client.listMonitoringSchedulesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesPublisher publisher = client.listMonitoringSchedulesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest)
operation.
listMonitoringSchedulesRequest - default ListMonitoringSchedulesPublisher listMonitoringSchedulesPaginator(Consumer<ListMonitoringSchedulesRequest.Builder> listMonitoringSchedulesRequest)
Returns list of all monitoring schedules.
This is a variant of
listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesPublisher publisher = client.listMonitoringSchedulesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesPublisher publisher = client.listMonitoringSchedulesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest)
operation.
This is a convenience which creates an instance of the ListMonitoringSchedulesRequest.Builder avoiding
the need to create one manually via ListMonitoringSchedulesRequest.builder()
listMonitoringSchedulesRequest - A Consumer that will call methods on ListMonitoringSchedulesRequest.Builder to create a
request.default CompletableFuture<ListNotebookInstanceLifecycleConfigsResponse> listNotebookInstanceLifecycleConfigs(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
listNotebookInstanceLifecycleConfigsRequest - default CompletableFuture<ListNotebookInstanceLifecycleConfigsResponse> listNotebookInstanceLifecycleConfigs(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
This is a convenience which creates an instance of the
ListNotebookInstanceLifecycleConfigsRequest.Builder avoiding the need to create one manually via
ListNotebookInstanceLifecycleConfigsRequest.builder()
listNotebookInstanceLifecycleConfigsRequest - A Consumer that will call methods on ListNotebookInstanceLifecycleConfigsInput.Builder to
create a request.default CompletableFuture<ListNotebookInstanceLifecycleConfigsResponse> listNotebookInstanceLifecycleConfigs()
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
default ListNotebookInstanceLifecycleConfigsPublisher listNotebookInstanceLifecycleConfigsPaginator()
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
This is a variant of
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation.
default ListNotebookInstanceLifecycleConfigsPublisher listNotebookInstanceLifecycleConfigsPaginator(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
This is a variant of
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation.
listNotebookInstanceLifecycleConfigsRequest - default ListNotebookInstanceLifecycleConfigsPublisher listNotebookInstanceLifecycleConfigsPaginator(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
This is a variant of
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation.
This is a convenience which creates an instance of the
ListNotebookInstanceLifecycleConfigsRequest.Builder avoiding the need to create one manually via
ListNotebookInstanceLifecycleConfigsRequest.builder()
listNotebookInstanceLifecycleConfigsRequest - A Consumer that will call methods on ListNotebookInstanceLifecycleConfigsInput.Builder to
create a request.default CompletableFuture<ListNotebookInstancesResponse> listNotebookInstances(ListNotebookInstancesRequest listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
listNotebookInstancesRequest - default CompletableFuture<ListNotebookInstancesResponse> listNotebookInstances(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
This is a convenience which creates an instance of the ListNotebookInstancesRequest.Builder avoiding the
need to create one manually via ListNotebookInstancesRequest.builder()
listNotebookInstancesRequest - A Consumer that will call methods on ListNotebookInstancesInput.Builder to create a
request.default CompletableFuture<ListNotebookInstancesResponse> listNotebookInstances()
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
default ListNotebookInstancesPublisher listNotebookInstancesPaginator()
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
This is a variant of
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation.
default ListNotebookInstancesPublisher listNotebookInstancesPaginator(ListNotebookInstancesRequest listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
This is a variant of
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation.
listNotebookInstancesRequest - default ListNotebookInstancesPublisher listNotebookInstancesPaginator(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
This is a variant of
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation.
This is a convenience which creates an instance of the ListNotebookInstancesRequest.Builder avoiding the
need to create one manually via ListNotebookInstancesRequest.builder()
listNotebookInstancesRequest - A Consumer that will call methods on ListNotebookInstancesInput.Builder to create a
request.default CompletableFuture<ListProcessingJobsResponse> listProcessingJobs(ListProcessingJobsRequest listProcessingJobsRequest)
Lists processing jobs that satisfy various filters.
listProcessingJobsRequest - default CompletableFuture<ListProcessingJobsResponse> listProcessingJobs(Consumer<ListProcessingJobsRequest.Builder> listProcessingJobsRequest)
Lists processing jobs that satisfy various filters.
This is a convenience which creates an instance of the ListProcessingJobsRequest.Builder avoiding the
need to create one manually via ListProcessingJobsRequest.builder()
listProcessingJobsRequest - A Consumer that will call methods on ListProcessingJobsRequest.Builder to create a
request.default ListProcessingJobsPublisher listProcessingJobsPaginator(ListProcessingJobsRequest listProcessingJobsRequest)
Lists processing jobs that satisfy various filters.
This is a variant of
listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsPublisher publisher = client.listProcessingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsPublisher publisher = client.listProcessingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest)
operation.
listProcessingJobsRequest - default ListProcessingJobsPublisher listProcessingJobsPaginator(Consumer<ListProcessingJobsRequest.Builder> listProcessingJobsRequest)
Lists processing jobs that satisfy various filters.
This is a variant of
listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsPublisher publisher = client.listProcessingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsPublisher publisher = client.listProcessingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest)
operation.
This is a convenience which creates an instance of the ListProcessingJobsRequest.Builder avoiding the
need to create one manually via ListProcessingJobsRequest.builder()
listProcessingJobsRequest - A Consumer that will call methods on ListProcessingJobsRequest.Builder to create a
request.default CompletableFuture<ListSubscribedWorkteamsResponse> listSubscribedWorkteams(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)
Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work
team satisfies the filter specified in the NameContains parameter.
listSubscribedWorkteamsRequest - default CompletableFuture<ListSubscribedWorkteamsResponse> listSubscribedWorkteams(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)
Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work
team satisfies the filter specified in the NameContains parameter.
This is a convenience which creates an instance of the ListSubscribedWorkteamsRequest.Builder avoiding
the need to create one manually via ListSubscribedWorkteamsRequest.builder()
listSubscribedWorkteamsRequest - A Consumer that will call methods on ListSubscribedWorkteamsRequest.Builder to create a
request.default CompletableFuture<ListSubscribedWorkteamsResponse> listSubscribedWorkteams()
Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work
team satisfies the filter specified in the NameContains parameter.
default ListSubscribedWorkteamsPublisher listSubscribedWorkteamsPaginator()
Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work
team satisfies the filter specified in the NameContains parameter.
This is a variant of
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation.
default ListSubscribedWorkteamsPublisher listSubscribedWorkteamsPaginator(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)
Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work
team satisfies the filter specified in the NameContains parameter.
This is a variant of
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation.
listSubscribedWorkteamsRequest - default ListSubscribedWorkteamsPublisher listSubscribedWorkteamsPaginator(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)
Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work
team satisfies the filter specified in the NameContains parameter.
This is a variant of
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation.
This is a convenience which creates an instance of the ListSubscribedWorkteamsRequest.Builder avoiding
the need to create one manually via ListSubscribedWorkteamsRequest.builder()
listSubscribedWorkteamsRequest - A Consumer that will call methods on ListSubscribedWorkteamsRequest.Builder to create a
request.default CompletableFuture<ListTagsResponse> listTags(ListTagsRequest listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
listTagsRequest - default CompletableFuture<ListTagsResponse> listTags(Consumer<ListTagsRequest.Builder> listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
This is a convenience which creates an instance of the ListTagsRequest.Builder avoiding the need to
create one manually via ListTagsRequest.builder()
listTagsRequest - A Consumer that will call methods on ListTagsInput.Builder to create a request.default ListTagsPublisher listTagsPaginator(ListTagsRequest listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
This is a variant of listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTagsPublisher publisher = client.listTagsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTagsPublisher publisher = client.listTagsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTagsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTagsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest) operation.
listTagsRequest - default ListTagsPublisher listTagsPaginator(Consumer<ListTagsRequest.Builder> listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
This is a variant of listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTagsPublisher publisher = client.listTagsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTagsPublisher publisher = client.listTagsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTagsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTagsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest) operation.
This is a convenience which creates an instance of the ListTagsRequest.Builder avoiding the need to
create one manually via ListTagsRequest.builder()
listTagsRequest - A Consumer that will call methods on ListTagsInput.Builder to create a request.default CompletableFuture<ListTrainingJobsResponse> listTrainingJobs(ListTrainingJobsRequest listTrainingJobsRequest)
Lists training jobs.
listTrainingJobsRequest - default CompletableFuture<ListTrainingJobsResponse> listTrainingJobs(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)
Lists training jobs.
This is a convenience which creates an instance of the ListTrainingJobsRequest.Builder avoiding the need
to create one manually via ListTrainingJobsRequest.builder()
listTrainingJobsRequest - A Consumer that will call methods on ListTrainingJobsRequest.Builder to create a request.default CompletableFuture<ListTrainingJobsResponse> listTrainingJobs()
Lists training jobs.
default CompletableFuture<ListTrainingJobsForHyperParameterTuningJobResponse> listTrainingJobsForHyperParameterTuningJob(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
listTrainingJobsForHyperParameterTuningJobRequest - default CompletableFuture<ListTrainingJobsForHyperParameterTuningJobResponse> listTrainingJobsForHyperParameterTuningJob(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
This is a convenience which creates an instance of the
ListTrainingJobsForHyperParameterTuningJobRequest.Builder avoiding the need to create one manually via
ListTrainingJobsForHyperParameterTuningJobRequest.builder()
listTrainingJobsForHyperParameterTuningJobRequest - A Consumer that will call methods on
ListTrainingJobsForHyperParameterTuningJobRequest.Builder to create a request.default ListTrainingJobsForHyperParameterTuningJobPublisher listTrainingJobsForHyperParameterTuningJobPaginator(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
This is a variant of
listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobPublisher publisher = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobPublisher publisher = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest)
operation.
listTrainingJobsForHyperParameterTuningJobRequest - default ListTrainingJobsForHyperParameterTuningJobPublisher listTrainingJobsForHyperParameterTuningJobPaginator(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
This is a variant of
listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobPublisher publisher = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobPublisher publisher = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest)
operation.
This is a convenience which creates an instance of the
ListTrainingJobsForHyperParameterTuningJobRequest.Builder avoiding the need to create one manually via
ListTrainingJobsForHyperParameterTuningJobRequest.builder()
listTrainingJobsForHyperParameterTuningJobRequest - A Consumer that will call methods on
ListTrainingJobsForHyperParameterTuningJobRequest.Builder to create a request.default ListTrainingJobsPublisher listTrainingJobsPaginator()
Lists training jobs.
This is a variant of
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation.
default ListTrainingJobsPublisher listTrainingJobsPaginator(ListTrainingJobsRequest listTrainingJobsRequest)
Lists training jobs.
This is a variant of
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation.
listTrainingJobsRequest - default ListTrainingJobsPublisher listTrainingJobsPaginator(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)
Lists training jobs.
This is a variant of
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation.
This is a convenience which creates an instance of the ListTrainingJobsRequest.Builder avoiding the need
to create one manually via ListTrainingJobsRequest.builder()
listTrainingJobsRequest - A Consumer that will call methods on ListTrainingJobsRequest.Builder to create a request.default CompletableFuture<ListTransformJobsResponse> listTransformJobs(ListTransformJobsRequest listTransformJobsRequest)
Lists transform jobs.
listTransformJobsRequest - default CompletableFuture<ListTransformJobsResponse> listTransformJobs(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)
Lists transform jobs.
This is a convenience which creates an instance of the ListTransformJobsRequest.Builder avoiding the need
to create one manually via ListTransformJobsRequest.builder()
listTransformJobsRequest - A Consumer that will call methods on ListTransformJobsRequest.Builder to create a request.default CompletableFuture<ListTransformJobsResponse> listTransformJobs()
Lists transform jobs.
default ListTransformJobsPublisher listTransformJobsPaginator()
Lists transform jobs.
This is a variant of
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest)
operation.
default ListTransformJobsPublisher listTransformJobsPaginator(ListTransformJobsRequest listTransformJobsRequest)
Lists transform jobs.
This is a variant of
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest)
operation.
listTransformJobsRequest - default ListTransformJobsPublisher listTransformJobsPaginator(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)
Lists transform jobs.
This is a variant of
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest)
operation.
This is a convenience which creates an instance of the ListTransformJobsRequest.Builder avoiding the need
to create one manually via ListTransformJobsRequest.builder()
listTransformJobsRequest - A Consumer that will call methods on ListTransformJobsRequest.Builder to create a request.default CompletableFuture<ListTrialComponentsResponse> listTrialComponents(ListTrialComponentsRequest listTrialComponentsRequest)
Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
listTrialComponentsRequest - default CompletableFuture<ListTrialComponentsResponse> listTrialComponents(Consumer<ListTrialComponentsRequest.Builder> listTrialComponentsRequest)
Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
This is a convenience which creates an instance of the ListTrialComponentsRequest.Builder avoiding the
need to create one manually via ListTrialComponentsRequest.builder()
listTrialComponentsRequest - A Consumer that will call methods on ListTrialComponentsRequest.Builder to create a
request.default ListTrialComponentsPublisher listTrialComponentsPaginator(ListTrialComponentsRequest listTrialComponentsRequest)
Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
This is a variant of
listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsPublisher publisher = client.listTrialComponentsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsPublisher publisher = client.listTrialComponentsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest)
operation.
listTrialComponentsRequest - default ListTrialComponentsPublisher listTrialComponentsPaginator(Consumer<ListTrialComponentsRequest.Builder> listTrialComponentsRequest)
Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
This is a variant of
listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsPublisher publisher = client.listTrialComponentsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsPublisher publisher = client.listTrialComponentsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest)
operation.
This is a convenience which creates an instance of the ListTrialComponentsRequest.Builder avoiding the
need to create one manually via ListTrialComponentsRequest.builder()
listTrialComponentsRequest - A Consumer that will call methods on ListTrialComponentsRequest.Builder to create a
request.default CompletableFuture<ListTrialsResponse> listTrials(ListTrialsRequest listTrialsRequest)
Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
listTrialsRequest - default CompletableFuture<ListTrialsResponse> listTrials(Consumer<ListTrialsRequest.Builder> listTrialsRequest)
Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
This is a convenience which creates an instance of the ListTrialsRequest.Builder avoiding the need to
create one manually via ListTrialsRequest.builder()
listTrialsRequest - A Consumer that will call methods on ListTrialsRequest.Builder to create a request.default ListTrialsPublisher listTrialsPaginator(ListTrialsRequest listTrialsRequest)
Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
This is a variant of listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrialsPublisher publisher = client.listTrialsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrialsPublisher publisher = client.listTrialsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrialsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrialsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest) operation.
listTrialsRequest - default ListTrialsPublisher listTrialsPaginator(Consumer<ListTrialsRequest.Builder> listTrialsRequest)
Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
This is a variant of listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrialsPublisher publisher = client.listTrialsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrialsPublisher publisher = client.listTrialsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrialsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrialsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest) operation.
This is a convenience which creates an instance of the ListTrialsRequest.Builder avoiding the need to
create one manually via ListTrialsRequest.builder()
listTrialsRequest - A Consumer that will call methods on ListTrialsRequest.Builder to create a request.default CompletableFuture<ListUserProfilesResponse> listUserProfiles(ListUserProfilesRequest listUserProfilesRequest)
Lists user profiles.
listUserProfilesRequest - default CompletableFuture<ListUserProfilesResponse> listUserProfiles(Consumer<ListUserProfilesRequest.Builder> listUserProfilesRequest)
Lists user profiles.
This is a convenience which creates an instance of the ListUserProfilesRequest.Builder avoiding the need
to create one manually via ListUserProfilesRequest.builder()
listUserProfilesRequest - A Consumer that will call methods on ListUserProfilesRequest.Builder to create a request.default ListUserProfilesPublisher listUserProfilesPaginator(ListUserProfilesRequest listUserProfilesRequest)
Lists user profiles.
This is a variant of
listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesPublisher publisher = client.listUserProfilesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesPublisher publisher = client.listUserProfilesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListUserProfilesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation.
listUserProfilesRequest - default ListUserProfilesPublisher listUserProfilesPaginator(Consumer<ListUserProfilesRequest.Builder> listUserProfilesRequest)
Lists user profiles.
This is a variant of
listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesPublisher publisher = client.listUserProfilesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesPublisher publisher = client.listUserProfilesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListUserProfilesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation.
This is a convenience which creates an instance of the ListUserProfilesRequest.Builder avoiding the need
to create one manually via ListUserProfilesRequest.builder()
listUserProfilesRequest - A Consumer that will call methods on ListUserProfilesRequest.Builder to create a request.default CompletableFuture<ListWorkforcesResponse> listWorkforces(ListWorkforcesRequest listWorkforcesRequest)
Use this operation to list all private and vendor workforces in an AWS Region. Note that you can only have one private workforce per AWS Region.
listWorkforcesRequest - default CompletableFuture<ListWorkforcesResponse> listWorkforces(Consumer<ListWorkforcesRequest.Builder> listWorkforcesRequest)
Use this operation to list all private and vendor workforces in an AWS Region. Note that you can only have one private workforce per AWS Region.
This is a convenience which creates an instance of the ListWorkforcesRequest.Builder avoiding the need to
create one manually via ListWorkforcesRequest.builder()
listWorkforcesRequest - A Consumer that will call methods on ListWorkforcesRequest.Builder to create a request.default ListWorkforcesPublisher listWorkforcesPaginator(ListWorkforcesRequest listWorkforcesRequest)
Use this operation to list all private and vendor workforces in an AWS Region. Note that you can only have one private workforce per AWS Region.
This is a variant of
listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesPublisher publisher = client.listWorkforcesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesPublisher publisher = client.listWorkforcesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListWorkforcesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation.
listWorkforcesRequest - default ListWorkforcesPublisher listWorkforcesPaginator(Consumer<ListWorkforcesRequest.Builder> listWorkforcesRequest)
Use this operation to list all private and vendor workforces in an AWS Region. Note that you can only have one private workforce per AWS Region.
This is a variant of
listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesPublisher publisher = client.listWorkforcesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesPublisher publisher = client.listWorkforcesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListWorkforcesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation.
This is a convenience which creates an instance of the ListWorkforcesRequest.Builder avoiding the need to
create one manually via ListWorkforcesRequest.builder()
listWorkforcesRequest - A Consumer that will call methods on ListWorkforcesRequest.Builder to create a request.default CompletableFuture<ListWorkteamsResponse> listWorkteams(ListWorkteamsRequest listWorkteamsRequest)
Gets a list of private work teams that you have defined in a region. The list may be empty if no work team
satisfies the filter specified in the NameContains parameter.
listWorkteamsRequest - default CompletableFuture<ListWorkteamsResponse> listWorkteams(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)
Gets a list of private work teams that you have defined in a region. The list may be empty if no work team
satisfies the filter specified in the NameContains parameter.
This is a convenience which creates an instance of the ListWorkteamsRequest.Builder avoiding the need to
create one manually via ListWorkteamsRequest.builder()
listWorkteamsRequest - A Consumer that will call methods on ListWorkteamsRequest.Builder to create a request.default CompletableFuture<ListWorkteamsResponse> listWorkteams()
Gets a list of private work teams that you have defined in a region. The list may be empty if no work team
satisfies the filter specified in the NameContains parameter.
default ListWorkteamsPublisher listWorkteamsPaginator()
Gets a list of private work teams that you have defined in a region. The list may be empty if no work team
satisfies the filter specified in the NameContains parameter.
This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation.
default ListWorkteamsPublisher listWorkteamsPaginator(ListWorkteamsRequest listWorkteamsRequest)
Gets a list of private work teams that you have defined in a region. The list may be empty if no work team
satisfies the filter specified in the NameContains parameter.
This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation.
listWorkteamsRequest - default ListWorkteamsPublisher listWorkteamsPaginator(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)
Gets a list of private work teams that you have defined in a region. The list may be empty if no work team
satisfies the filter specified in the NameContains parameter.
This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation.
This is a convenience which creates an instance of the ListWorkteamsRequest.Builder avoiding the need to
create one manually via ListWorkteamsRequest.builder()
listWorkteamsRequest - A Consumer that will call methods on ListWorkteamsRequest.Builder to create a request.default CompletableFuture<RenderUiTemplateResponse> renderUiTemplate(RenderUiTemplateRequest renderUiTemplateRequest)
Renders the UI template so that you can preview the worker's experience.
renderUiTemplateRequest - default CompletableFuture<RenderUiTemplateResponse> renderUiTemplate(Consumer<RenderUiTemplateRequest.Builder> renderUiTemplateRequest)
Renders the UI template so that you can preview the worker's experience.
This is a convenience which creates an instance of the RenderUiTemplateRequest.Builder avoiding the need
to create one manually via RenderUiTemplateRequest.builder()
renderUiTemplateRequest - A Consumer that will call methods on RenderUiTemplateRequest.Builder to create a request.default CompletableFuture<SearchResponse> search(SearchRequest searchRequest)
Finds Amazon SageMaker resources that match a search query. Matching resources are returned as a list of
SearchRecord objects in the response. You can sort the search results by any resource property in a
ascending or descending order.
You can query against the following value types: numeric, text, Boolean, and timestamp.
searchRequest - default CompletableFuture<SearchResponse> search(Consumer<SearchRequest.Builder> searchRequest)
Finds Amazon SageMaker resources that match a search query. Matching resources are returned as a list of
SearchRecord objects in the response. You can sort the search results by any resource property in a
ascending or descending order.
You can query against the following value types: numeric, text, Boolean, and timestamp.
This is a convenience which creates an instance of the SearchRequest.Builder avoiding the need to create
one manually via SearchRequest.builder()
searchRequest - A Consumer that will call methods on SearchRequest.Builder to create a request.default SearchPublisher searchPaginator(SearchRequest searchRequest)
Finds Amazon SageMaker resources that match a search query. Matching resources are returned as a list of
SearchRecord objects in the response. You can sort the search results by any resource property in a
ascending or descending order.
You can query against the following value types: numeric, text, Boolean, and timestamp.
This is a variant of search(software.amazon.awssdk.services.sagemaker.model.SearchRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.SearchPublisher publisher = client.searchPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.SearchPublisher publisher = client.searchPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.SearchResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.SearchResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
search(software.amazon.awssdk.services.sagemaker.model.SearchRequest) operation.
searchRequest - default SearchPublisher searchPaginator(Consumer<SearchRequest.Builder> searchRequest)
Finds Amazon SageMaker resources that match a search query. Matching resources are returned as a list of
SearchRecord objects in the response. You can sort the search results by any resource property in a
ascending or descending order.
You can query against the following value types: numeric, text, Boolean, and timestamp.
This is a variant of search(software.amazon.awssdk.services.sagemaker.model.SearchRequest) operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe
method will result in a new Subscription i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.SearchPublisher publisher = client.searchPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.SearchPublisher publisher = client.searchPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.SearchResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.SearchResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
search(software.amazon.awssdk.services.sagemaker.model.SearchRequest) operation.
This is a convenience which creates an instance of the SearchRequest.Builder avoiding the need to create
one manually via SearchRequest.builder()
searchRequest - A Consumer that will call methods on SearchRequest.Builder to create a request.default CompletableFuture<StartMonitoringScheduleResponse> startMonitoringSchedule(StartMonitoringScheduleRequest startMonitoringScheduleRequest)
Starts a previously stopped monitoring schedule.
New monitoring schedules are immediately started after creation.
startMonitoringScheduleRequest - default CompletableFuture<StartMonitoringScheduleResponse> startMonitoringSchedule(Consumer<StartMonitoringScheduleRequest.Builder> startMonitoringScheduleRequest)
Starts a previously stopped monitoring schedule.
New monitoring schedules are immediately started after creation.
This is a convenience which creates an instance of the StartMonitoringScheduleRequest.Builder avoiding
the need to create one manually via StartMonitoringScheduleRequest.builder()
startMonitoringScheduleRequest - A Consumer that will call methods on StartMonitoringScheduleRequest.Builder to create a
request.default CompletableFuture<StartNotebookInstanceResponse> startNotebookInstance(StartNotebookInstanceRequest startNotebookInstanceRequest)
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to
InService. A notebook instance's status must be InService before you can connect to
your Jupyter notebook.
startNotebookInstanceRequest - default CompletableFuture<StartNotebookInstanceResponse> startNotebookInstance(Consumer<StartNotebookInstanceRequest.Builder> startNotebookInstanceRequest)
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to
InService. A notebook instance's status must be InService before you can connect to
your Jupyter notebook.
This is a convenience which creates an instance of the StartNotebookInstanceRequest.Builder avoiding the
need to create one manually via StartNotebookInstanceRequest.builder()
startNotebookInstanceRequest - A Consumer that will call methods on StartNotebookInstanceInput.Builder to create a
request.default CompletableFuture<StopAutoMlJobResponse> stopAutoMLJob(StopAutoMlJobRequest stopAutoMlJobRequest)
A method for forcing the termination of a running job.
stopAutoMlJobRequest - default CompletableFuture<StopAutoMlJobResponse> stopAutoMLJob(Consumer<StopAutoMlJobRequest.Builder> stopAutoMlJobRequest)
A method for forcing the termination of a running job.
This is a convenience which creates an instance of the StopAutoMlJobRequest.Builder avoiding the need to
create one manually via StopAutoMlJobRequest.builder()
stopAutoMlJobRequest - A Consumer that will call methods on StopAutoMLJobRequest.Builder to create a request.default CompletableFuture<StopCompilationJobResponse> stopCompilationJob(StopCompilationJobRequest stopCompilationJobRequest)
Stops a model compilation job.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.
When it receives a StopCompilationJob request, Amazon SageMaker changes the
CompilationJobSummary$CompilationJobStatus of the job to Stopping. After Amazon SageMaker
stops the job, it sets the CompilationJobSummary$CompilationJobStatus to Stopped.
stopCompilationJobRequest - default CompletableFuture<StopCompilationJobResponse> stopCompilationJob(Consumer<StopCompilationJobRequest.Builder> stopCompilationJobRequest)
Stops a model compilation job.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.
When it receives a StopCompilationJob request, Amazon SageMaker changes the
CompilationJobSummary$CompilationJobStatus of the job to Stopping. After Amazon SageMaker
stops the job, it sets the CompilationJobSummary$CompilationJobStatus to Stopped.
This is a convenience which creates an instance of the StopCompilationJobRequest.Builder avoiding the
need to create one manually via StopCompilationJobRequest.builder()
stopCompilationJobRequest - A Consumer that will call methods on StopCompilationJobRequest.Builder to create a
request.default CompletableFuture<StopHyperParameterTuningJobResponse> stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest stopHyperParameterTuningJobRequest)
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All
data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning
job moves to the Stopped state, it releases all reserved resources for the tuning job.
stopHyperParameterTuningJobRequest - default CompletableFuture<StopHyperParameterTuningJobResponse> stopHyperParameterTuningJob(Consumer<StopHyperParameterTuningJobRequest.Builder> stopHyperParameterTuningJobRequest)
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All
data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning
job moves to the Stopped state, it releases all reserved resources for the tuning job.
This is a convenience which creates an instance of the StopHyperParameterTuningJobRequest.Builder
avoiding the need to create one manually via StopHyperParameterTuningJobRequest.builder()
stopHyperParameterTuningJobRequest - A Consumer that will call methods on StopHyperParameterTuningJobRequest.Builder to create
a request.default CompletableFuture<StopLabelingJobResponse> stopLabelingJob(StopLabelingJobRequest stopLabelingJobRequest)
Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
stopLabelingJobRequest - default CompletableFuture<StopLabelingJobResponse> stopLabelingJob(Consumer<StopLabelingJobRequest.Builder> stopLabelingJobRequest)
Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
This is a convenience which creates an instance of the StopLabelingJobRequest.Builder avoiding the need
to create one manually via StopLabelingJobRequest.builder()
stopLabelingJobRequest - A Consumer that will call methods on StopLabelingJobRequest.Builder to create a request.default CompletableFuture<StopMonitoringScheduleResponse> stopMonitoringSchedule(StopMonitoringScheduleRequest stopMonitoringScheduleRequest)
Stops a previously started monitoring schedule.
stopMonitoringScheduleRequest - default CompletableFuture<StopMonitoringScheduleResponse> stopMonitoringSchedule(Consumer<StopMonitoringScheduleRequest.Builder> stopMonitoringScheduleRequest)
Stops a previously started monitoring schedule.
This is a convenience which creates an instance of the StopMonitoringScheduleRequest.Builder avoiding the
need to create one manually via StopMonitoringScheduleRequest.builder()
stopMonitoringScheduleRequest - A Consumer that will call methods on StopMonitoringScheduleRequest.Builder to create a
request.default CompletableFuture<StopNotebookInstanceResponse> stopNotebookInstance(StopNotebookInstanceRequest stopNotebookInstanceRequest)
Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage
volume from it. Amazon SageMaker preserves the ML storage volume. Amazon SageMaker stops charging you for the ML
compute instance when you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been terminated, call the
StartNotebookInstance API. StartNotebookInstance launches another ML compute instance,
configures it, and attaches the preserved ML storage volume so you can continue your work.
stopNotebookInstanceRequest - default CompletableFuture<StopNotebookInstanceResponse> stopNotebookInstance(Consumer<StopNotebookInstanceRequest.Builder> stopNotebookInstanceRequest)
Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage
volume from it. Amazon SageMaker preserves the ML storage volume. Amazon SageMaker stops charging you for the ML
compute instance when you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been terminated, call the
StartNotebookInstance API. StartNotebookInstance launches another ML compute instance,
configures it, and attaches the preserved ML storage volume so you can continue your work.
This is a convenience which creates an instance of the StopNotebookInstanceRequest.Builder avoiding the
need to create one manually via StopNotebookInstanceRequest.builder()
stopNotebookInstanceRequest - A Consumer that will call methods on StopNotebookInstanceInput.Builder to create a
request.default CompletableFuture<StopProcessingJobResponse> stopProcessingJob(StopProcessingJobRequest stopProcessingJobRequest)
Stops a processing job.
stopProcessingJobRequest - default CompletableFuture<StopProcessingJobResponse> stopProcessingJob(Consumer<StopProcessingJobRequest.Builder> stopProcessingJobRequest)
Stops a processing job.
This is a convenience which creates an instance of the StopProcessingJobRequest.Builder avoiding the need
to create one manually via StopProcessingJobRequest.builder()
stopProcessingJobRequest - A Consumer that will call methods on StopProcessingJobRequest.Builder to create a request.default CompletableFuture<StopTrainingJobResponse> stopTrainingJob(StopTrainingJobRequest stopTrainingJobRequest)
Stops a training job. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts,
so the results of the training is not lost.
When it receives a StopTrainingJob request, Amazon SageMaker changes the status of the job to
Stopping. After Amazon SageMaker stops the job, it sets the status to Stopped.
stopTrainingJobRequest - default CompletableFuture<StopTrainingJobResponse> stopTrainingJob(Consumer<StopTrainingJobRequest.Builder> stopTrainingJobRequest)
Stops a training job. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts,
so the results of the training is not lost.
When it receives a StopTrainingJob request, Amazon SageMaker changes the status of the job to
Stopping. After Amazon SageMaker stops the job, it sets the status to Stopped.
This is a convenience which creates an instance of the StopTrainingJobRequest.Builder avoiding the need
to create one manually via StopTrainingJobRequest.builder()
stopTrainingJobRequest - A Consumer that will call methods on StopTrainingJobRequest.Builder to create a request.default CompletableFuture<StopTransformJobResponse> stopTransformJob(StopTransformJobRequest stopTransformJobRequest)
Stops a transform job.
When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to
Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you
stop a transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.
stopTransformJobRequest - default CompletableFuture<StopTransformJobResponse> stopTransformJob(Consumer<StopTransformJobRequest.Builder> stopTransformJobRequest)
Stops a transform job.
When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to
Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you
stop a transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.
This is a convenience which creates an instance of the StopTransformJobRequest.Builder avoiding the need
to create one manually via StopTransformJobRequest.builder()
stopTransformJobRequest - A Consumer that will call methods on StopTransformJobRequest.Builder to create a request.default CompletableFuture<UpdateCodeRepositoryResponse> updateCodeRepository(UpdateCodeRepositoryRequest updateCodeRepositoryRequest)
Updates the specified Git repository with the specified values.
updateCodeRepositoryRequest - default CompletableFuture<UpdateCodeRepositoryResponse> updateCodeRepository(Consumer<UpdateCodeRepositoryRequest.Builder> updateCodeRepositoryRequest)
Updates the specified Git repository with the specified values.
This is a convenience which creates an instance of the UpdateCodeRepositoryRequest.Builder avoiding the
need to create one manually via UpdateCodeRepositoryRequest.builder()
updateCodeRepositoryRequest - A Consumer that will call methods on UpdateCodeRepositoryInput.Builder to create a
request.default CompletableFuture<UpdateDomainResponse> updateDomain(UpdateDomainRequest updateDomainRequest)
Updates the default settings for new user profiles in the domain.
updateDomainRequest - default CompletableFuture<UpdateDomainResponse> updateDomain(Consumer<UpdateDomainRequest.Builder> updateDomainRequest)
Updates the default settings for new user profiles in the domain.
This is a convenience which creates an instance of the UpdateDomainRequest.Builder avoiding the need to
create one manually via UpdateDomainRequest.builder()
updateDomainRequest - A Consumer that will call methods on UpdateDomainRequest.Builder to create a request.default CompletableFuture<UpdateEndpointResponse> updateEndpoint(UpdateEndpointRequest updateEndpointRequest)
Deploys the new EndpointConfig specified in the request, switches to using newly created endpoint,
and then deletes resources provisioned for the endpoint using the previous EndpointConfig (there is
no availability loss).
When Amazon SageMaker receives the request, it sets the endpoint status to Updating. After updating
the endpoint, it sets the status to InService. To check the status of an endpoint, use the
DescribeEndpoint API.
You must not delete an EndpointConfig in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig.
If you delete the EndpointConfig of an endpoint that is active or being created or updated you may
lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop
incurring charges.
updateEndpointRequest - default CompletableFuture<UpdateEndpointResponse> updateEndpoint(Consumer<UpdateEndpointRequest.Builder> updateEndpointRequest)
Deploys the new EndpointConfig specified in the request, switches to using newly created endpoint,
and then deletes resources provisioned for the endpoint using the previous EndpointConfig (there is
no availability loss).
When Amazon SageMaker receives the request, it sets the endpoint status to Updating. After updating
the endpoint, it sets the status to InService. To check the status of an endpoint, use the
DescribeEndpoint API.
You must not delete an EndpointConfig in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig.
If you delete the EndpointConfig of an endpoint that is active or being created or updated you may
lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop
incurring charges.
This is a convenience which creates an instance of the UpdateEndpointRequest.Builder avoiding the need to
create one manually via UpdateEndpointRequest.builder()
updateEndpointRequest - A Consumer that will call methods on UpdateEndpointInput.Builder to create a request.default CompletableFuture<UpdateEndpointWeightsAndCapacitiesResponse> updateEndpointWeightsAndCapacities(UpdateEndpointWeightsAndCapacitiesRequest updateEndpointWeightsAndCapacitiesRequest)
Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant
associated with an existing endpoint. When it receives the request, Amazon SageMaker sets the endpoint status to
Updating. After updating the endpoint, it sets the status to InService. To check the
status of an endpoint, use the DescribeEndpoint API.
updateEndpointWeightsAndCapacitiesRequest - default CompletableFuture<UpdateEndpointWeightsAndCapacitiesResponse> updateEndpointWeightsAndCapacities(Consumer<UpdateEndpointWeightsAndCapacitiesRequest.Builder> updateEndpointWeightsAndCapacitiesRequest)
Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant
associated with an existing endpoint. When it receives the request, Amazon SageMaker sets the endpoint status to
Updating. After updating the endpoint, it sets the status to InService. To check the
status of an endpoint, use the DescribeEndpoint API.
This is a convenience which creates an instance of the UpdateEndpointWeightsAndCapacitiesRequest.Builder
avoiding the need to create one manually via UpdateEndpointWeightsAndCapacitiesRequest.builder()
updateEndpointWeightsAndCapacitiesRequest - A Consumer that will call methods on UpdateEndpointWeightsAndCapacitiesInput.Builder to
create a request.default CompletableFuture<UpdateExperimentResponse> updateExperiment(UpdateExperimentRequest updateExperimentRequest)
Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.
updateExperimentRequest - default CompletableFuture<UpdateExperimentResponse> updateExperiment(Consumer<UpdateExperimentRequest.Builder> updateExperimentRequest)
Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.
This is a convenience which creates an instance of the UpdateExperimentRequest.Builder avoiding the need
to create one manually via UpdateExperimentRequest.builder()
updateExperimentRequest - A Consumer that will call methods on UpdateExperimentRequest.Builder to create a request.default CompletableFuture<UpdateMonitoringScheduleResponse> updateMonitoringSchedule(UpdateMonitoringScheduleRequest updateMonitoringScheduleRequest)
Updates a previously created schedule.
updateMonitoringScheduleRequest - default CompletableFuture<UpdateMonitoringScheduleResponse> updateMonitoringSchedule(Consumer<UpdateMonitoringScheduleRequest.Builder> updateMonitoringScheduleRequest)
Updates a previously created schedule.
This is a convenience which creates an instance of the UpdateMonitoringScheduleRequest.Builder avoiding
the need to create one manually via UpdateMonitoringScheduleRequest.builder()
updateMonitoringScheduleRequest - A Consumer that will call methods on UpdateMonitoringScheduleRequest.Builder to create a
request.default CompletableFuture<UpdateNotebookInstanceResponse> updateNotebookInstance(UpdateNotebookInstanceRequest updateNotebookInstanceRequest)
Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
updateNotebookInstanceRequest - default CompletableFuture<UpdateNotebookInstanceResponse> updateNotebookInstance(Consumer<UpdateNotebookInstanceRequest.Builder> updateNotebookInstanceRequest)
Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
This is a convenience which creates an instance of the UpdateNotebookInstanceRequest.Builder avoiding the
need to create one manually via UpdateNotebookInstanceRequest.builder()
updateNotebookInstanceRequest - A Consumer that will call methods on UpdateNotebookInstanceInput.Builder to create a
request.default CompletableFuture<UpdateNotebookInstanceLifecycleConfigResponse> updateNotebookInstanceLifecycleConfig(UpdateNotebookInstanceLifecycleConfigRequest updateNotebookInstanceLifecycleConfigRequest)
Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
updateNotebookInstanceLifecycleConfigRequest - default CompletableFuture<UpdateNotebookInstanceLifecycleConfigResponse> updateNotebookInstanceLifecycleConfig(Consumer<UpdateNotebookInstanceLifecycleConfigRequest.Builder> updateNotebookInstanceLifecycleConfigRequest)
Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
This is a convenience which creates an instance of the
UpdateNotebookInstanceLifecycleConfigRequest.Builder avoiding the need to create one manually via
UpdateNotebookInstanceLifecycleConfigRequest.builder()
updateNotebookInstanceLifecycleConfigRequest - A Consumer that will call methods on UpdateNotebookInstanceLifecycleConfigInput.Builder to
create a request.default CompletableFuture<UpdateTrialResponse> updateTrial(UpdateTrialRequest updateTrialRequest)
Updates the display name of a trial.
updateTrialRequest - default CompletableFuture<UpdateTrialResponse> updateTrial(Consumer<UpdateTrialRequest.Builder> updateTrialRequest)
Updates the display name of a trial.
This is a convenience which creates an instance of the UpdateTrialRequest.Builder avoiding the need to
create one manually via UpdateTrialRequest.builder()
updateTrialRequest - A Consumer that will call methods on UpdateTrialRequest.Builder to create a request.default CompletableFuture<UpdateTrialComponentResponse> updateTrialComponent(UpdateTrialComponentRequest updateTrialComponentRequest)
Updates one or more properties of a trial component.
updateTrialComponentRequest - default CompletableFuture<UpdateTrialComponentResponse> updateTrialComponent(Consumer<UpdateTrialComponentRequest.Builder> updateTrialComponentRequest)
Updates one or more properties of a trial component.
This is a convenience which creates an instance of the UpdateTrialComponentRequest.Builder avoiding the
need to create one manually via UpdateTrialComponentRequest.builder()
updateTrialComponentRequest - A Consumer that will call methods on UpdateTrialComponentRequest.Builder to create a
request.default CompletableFuture<UpdateUserProfileResponse> updateUserProfile(UpdateUserProfileRequest updateUserProfileRequest)
Updates a user profile.
updateUserProfileRequest - default CompletableFuture<UpdateUserProfileResponse> updateUserProfile(Consumer<UpdateUserProfileRequest.Builder> updateUserProfileRequest)
Updates a user profile.
This is a convenience which creates an instance of the UpdateUserProfileRequest.Builder avoiding the need
to create one manually via UpdateUserProfileRequest.builder()
updateUserProfileRequest - A Consumer that will call methods on UpdateUserProfileRequest.Builder to create a request.default CompletableFuture<UpdateWorkforceResponse> updateWorkforce(UpdateWorkforceRequest updateWorkforceRequest)
Use this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.
Use SourceIpConfig to restrict worker access to tasks to a specific range of IP addresses. You
specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn't
restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks
using any IP address outside the specified range are denied and get a Not Found error message on the
worker portal.
Use OidcConfig to update the configuration of a workforce created using your own OIDC IdP.
You can only update your OIDC IdP configuration when there are no work teams associated with your workforce. You can delete work teams using the operation.
After restricting access to a range of IP addresses or updating your OIDC IdP configuration with this operation, you can view details about your update workforce using the operation.
This operation only applies to private workforces.
updateWorkforceRequest - default CompletableFuture<UpdateWorkforceResponse> updateWorkforce(Consumer<UpdateWorkforceRequest.Builder> updateWorkforceRequest)
Use this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.
Use SourceIpConfig to restrict worker access to tasks to a specific range of IP addresses. You
specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn't
restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks
using any IP address outside the specified range are denied and get a Not Found error message on the
worker portal.
Use OidcConfig to update the configuration of a workforce created using your own OIDC IdP.
You can only update your OIDC IdP configuration when there are no work teams associated with your workforce. You can delete work teams using the operation.
After restricting access to a range of IP addresses or updating your OIDC IdP configuration with this operation, you can view details about your update workforce using the operation.
This operation only applies to private workforces.
This is a convenience which creates an instance of the UpdateWorkforceRequest.Builder avoiding the need
to create one manually via UpdateWorkforceRequest.builder()
updateWorkforceRequest - A Consumer that will call methods on UpdateWorkforceRequest.Builder to create a request.default CompletableFuture<UpdateWorkteamResponse> updateWorkteam(UpdateWorkteamRequest updateWorkteamRequest)
Updates an existing work team with new member definitions or description.
updateWorkteamRequest - default CompletableFuture<UpdateWorkteamResponse> updateWorkteam(Consumer<UpdateWorkteamRequest.Builder> updateWorkteamRequest)
Updates an existing work team with new member definitions or description.
This is a convenience which creates an instance of the UpdateWorkteamRequest.Builder avoiding the need to
create one manually via UpdateWorkteamRequest.builder()
updateWorkteamRequest - A Consumer that will call methods on UpdateWorkteamRequest.Builder to create a request.default SageMakerAsyncWaiter waiter()
SageMakerAsyncWaiter using this client.
Waiters created via this method are managed by the SDK and resources will be released when the service client is closed.
SageMakerAsyncWaiterCopyright © 2020. All rights reserved.