Interface CleanRoomsMlClient

All Superinterfaces:

AutoCloseable, AwsClient, SdkAutoCloseable, SdkClient

@Generated("software.amazon.awssdk:codegen")
@SdkPublicApi
@ThreadSafe
public interface CleanRoomsMlClient
extends AwsClient

Service client for accessing AWS Clean Rooms ML. This can be created using the static builder() method.

Welcome to the Amazon Web Services Clean Rooms ML API Reference.

Amazon Web Services Clean Rooms ML provides a privacy-enhancing method for two parties to identify similar users in their data without the need to share their data with each other. The first party brings the training data to Clean Rooms so that they can create and configure an audience model (lookalike model) and associate it with a collaboration. The second party then brings their seed data to Clean Rooms and generates an audience (lookalike segment) that resembles the training data.

To learn more about Amazon Web Services Clean Rooms ML concepts, procedures, and best practices, see the Clean Rooms User Guide.

To learn more about SQL commands, functions, and conditions supported in Clean Rooms, see the Clean Rooms SQL Reference.

Field Summary

Fields

Modifier and Type	Field	Description
static final String	SERVICE_METADATA_ID	Value for looking up the service's metadata from the ServiceMetadataProvider.
static final String	SERVICE_NAME

Method Summary

Modifier and Type	Method	Description
static CleanRoomsMlClientBuilder	builder()	Create a builder that can be used to configure and create a CleanRoomsMlClient.
default CancelTrainedModelResponse	cancelTrainedModel(Consumer<CancelTrainedModelRequest.Builder> cancelTrainedModelRequest)	Submits a request to cancel the trained model job.
default CancelTrainedModelResponse	cancelTrainedModel(CancelTrainedModelRequest cancelTrainedModelRequest)	Submits a request to cancel the trained model job.
default CancelTrainedModelInferenceJobResponse	cancelTrainedModelInferenceJob(Consumer<CancelTrainedModelInferenceJobRequest.Builder> cancelTrainedModelInferenceJobRequest)	Submits a request to cancel a trained model inference job.
default CancelTrainedModelInferenceJobResponse	cancelTrainedModelInferenceJob(CancelTrainedModelInferenceJobRequest cancelTrainedModelInferenceJobRequest)	Submits a request to cancel a trained model inference job.
static CleanRoomsMlClient	create()	Create a CleanRoomsMlClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.
default CreateAudienceModelResponse	createAudienceModel(Consumer<CreateAudienceModelRequest.Builder> createAudienceModelRequest)	Defines the information necessary to create an audience model.
default CreateAudienceModelResponse	createAudienceModel(CreateAudienceModelRequest createAudienceModelRequest)	Defines the information necessary to create an audience model.
default CreateConfiguredAudienceModelResponse	createConfiguredAudienceModel(Consumer<CreateConfiguredAudienceModelRequest.Builder> createConfiguredAudienceModelRequest)	Defines the information necessary to create a configured audience model.
default CreateConfiguredAudienceModelResponse	createConfiguredAudienceModel(CreateConfiguredAudienceModelRequest createConfiguredAudienceModelRequest)	Defines the information necessary to create a configured audience model.
default CreateConfiguredModelAlgorithmResponse	createConfiguredModelAlgorithm(Consumer<CreateConfiguredModelAlgorithmRequest.Builder> createConfiguredModelAlgorithmRequest)	Creates a configured model algorithm using a container image stored in an ECR repository.
default CreateConfiguredModelAlgorithmResponse	createConfiguredModelAlgorithm(CreateConfiguredModelAlgorithmRequest createConfiguredModelAlgorithmRequest)	Creates a configured model algorithm using a container image stored in an ECR repository.
default CreateConfiguredModelAlgorithmAssociationResponse	createConfiguredModelAlgorithmAssociation(Consumer<CreateConfiguredModelAlgorithmAssociationRequest.Builder> createConfiguredModelAlgorithmAssociationRequest)	Associates a configured model algorithm to a collaboration for use by any member of the collaboration.
default CreateConfiguredModelAlgorithmAssociationResponse	createConfiguredModelAlgorithmAssociation(CreateConfiguredModelAlgorithmAssociationRequest createConfiguredModelAlgorithmAssociationRequest)	Associates a configured model algorithm to a collaboration for use by any member of the collaboration.
default CreateMlInputChannelResponse	createMLInputChannel(Consumer<CreateMlInputChannelRequest.Builder> createMlInputChannelRequest)	Provides the information to create an ML input channel.
default CreateMlInputChannelResponse	createMLInputChannel(CreateMlInputChannelRequest createMlInputChannelRequest)	Provides the information to create an ML input channel.
default CreateTrainedModelResponse	createTrainedModel(Consumer<CreateTrainedModelRequest.Builder> createTrainedModelRequest)	Creates a trained model from an associated configured model algorithm using data from any member of the collaboration.
default CreateTrainedModelResponse	createTrainedModel(CreateTrainedModelRequest createTrainedModelRequest)	Creates a trained model from an associated configured model algorithm using data from any member of the collaboration.
default CreateTrainingDatasetResponse	createTrainingDataset(Consumer<CreateTrainingDatasetRequest.Builder> createTrainingDatasetRequest)	Defines the information necessary to create a training dataset.
default CreateTrainingDatasetResponse	createTrainingDataset(CreateTrainingDatasetRequest createTrainingDatasetRequest)	Defines the information necessary to create a training dataset.
default DeleteAudienceGenerationJobResponse	deleteAudienceGenerationJob(Consumer<DeleteAudienceGenerationJobRequest.Builder> deleteAudienceGenerationJobRequest)	Deletes the specified audience generation job, and removes all data associated with the job.
default DeleteAudienceGenerationJobResponse	deleteAudienceGenerationJob(DeleteAudienceGenerationJobRequest deleteAudienceGenerationJobRequest)	Deletes the specified audience generation job, and removes all data associated with the job.
default DeleteAudienceModelResponse	deleteAudienceModel(Consumer<DeleteAudienceModelRequest.Builder> deleteAudienceModelRequest)	Specifies an audience model that you want to delete.
default DeleteAudienceModelResponse	deleteAudienceModel(DeleteAudienceModelRequest deleteAudienceModelRequest)	Specifies an audience model that you want to delete.
default DeleteConfiguredAudienceModelResponse	deleteConfiguredAudienceModel(Consumer<DeleteConfiguredAudienceModelRequest.Builder> deleteConfiguredAudienceModelRequest)	Deletes the specified configured audience model.
default DeleteConfiguredAudienceModelResponse	deleteConfiguredAudienceModel(DeleteConfiguredAudienceModelRequest deleteConfiguredAudienceModelRequest)	Deletes the specified configured audience model.
default DeleteConfiguredAudienceModelPolicyResponse	deleteConfiguredAudienceModelPolicy(Consumer<DeleteConfiguredAudienceModelPolicyRequest.Builder> deleteConfiguredAudienceModelPolicyRequest)	Deletes the specified configured audience model policy.
default DeleteConfiguredAudienceModelPolicyResponse	deleteConfiguredAudienceModelPolicy(DeleteConfiguredAudienceModelPolicyRequest deleteConfiguredAudienceModelPolicyRequest)	Deletes the specified configured audience model policy.
default DeleteConfiguredModelAlgorithmResponse	deleteConfiguredModelAlgorithm(Consumer<DeleteConfiguredModelAlgorithmRequest.Builder> deleteConfiguredModelAlgorithmRequest)	Deletes a configured model algorithm.
default DeleteConfiguredModelAlgorithmResponse	deleteConfiguredModelAlgorithm(DeleteConfiguredModelAlgorithmRequest deleteConfiguredModelAlgorithmRequest)	Deletes a configured model algorithm.
default DeleteConfiguredModelAlgorithmAssociationResponse	deleteConfiguredModelAlgorithmAssociation(Consumer<DeleteConfiguredModelAlgorithmAssociationRequest.Builder> deleteConfiguredModelAlgorithmAssociationRequest)	Deletes a configured model algorithm association.
default DeleteConfiguredModelAlgorithmAssociationResponse	deleteConfiguredModelAlgorithmAssociation(DeleteConfiguredModelAlgorithmAssociationRequest deleteConfiguredModelAlgorithmAssociationRequest)	Deletes a configured model algorithm association.
default DeleteMlConfigurationResponse	deleteMLConfiguration(Consumer<DeleteMlConfigurationRequest.Builder> deleteMlConfigurationRequest)	Deletes a ML modeling configuration.
default DeleteMlConfigurationResponse	deleteMLConfiguration(DeleteMlConfigurationRequest deleteMlConfigurationRequest)	Deletes a ML modeling configuration.
default DeleteMlInputChannelDataResponse	deleteMLInputChannelData(Consumer<DeleteMlInputChannelDataRequest.Builder> deleteMlInputChannelDataRequest)	Provides the information necessary to delete an ML input channel.
default DeleteMlInputChannelDataResponse	deleteMLInputChannelData(DeleteMlInputChannelDataRequest deleteMlInputChannelDataRequest)	Provides the information necessary to delete an ML input channel.
default DeleteTrainedModelOutputResponse	deleteTrainedModelOutput(Consumer<DeleteTrainedModelOutputRequest.Builder> deleteTrainedModelOutputRequest)	Deletes the model artifacts stored by the service.
default DeleteTrainedModelOutputResponse	deleteTrainedModelOutput(DeleteTrainedModelOutputRequest deleteTrainedModelOutputRequest)	Deletes the model artifacts stored by the service.
default DeleteTrainingDatasetResponse	deleteTrainingDataset(Consumer<DeleteTrainingDatasetRequest.Builder> deleteTrainingDatasetRequest)	Specifies a training dataset that you want to delete.
default DeleteTrainingDatasetResponse	deleteTrainingDataset(DeleteTrainingDatasetRequest deleteTrainingDatasetRequest)	Specifies a training dataset that you want to delete.
default GetAudienceGenerationJobResponse	getAudienceGenerationJob(Consumer<GetAudienceGenerationJobRequest.Builder> getAudienceGenerationJobRequest)	Returns information about an audience generation job.
default GetAudienceGenerationJobResponse	getAudienceGenerationJob(GetAudienceGenerationJobRequest getAudienceGenerationJobRequest)	Returns information about an audience generation job.
default GetAudienceModelResponse	getAudienceModel(Consumer<GetAudienceModelRequest.Builder> getAudienceModelRequest)	Returns information about an audience model
default GetAudienceModelResponse	getAudienceModel(GetAudienceModelRequest getAudienceModelRequest)	Returns information about an audience model
default GetCollaborationConfiguredModelAlgorithmAssociationResponse	getCollaborationConfiguredModelAlgorithmAssociation(Consumer<GetCollaborationConfiguredModelAlgorithmAssociationRequest.Builder> getCollaborationConfiguredModelAlgorithmAssociationRequest)	Returns information about the configured model algorithm association in a collaboration.
default GetCollaborationConfiguredModelAlgorithmAssociationResponse	getCollaborationConfiguredModelAlgorithmAssociation(GetCollaborationConfiguredModelAlgorithmAssociationRequest getCollaborationConfiguredModelAlgorithmAssociationRequest)	Returns information about the configured model algorithm association in a collaboration.
default GetCollaborationMlInputChannelResponse	getCollaborationMLInputChannel(Consumer<GetCollaborationMlInputChannelRequest.Builder> getCollaborationMlInputChannelRequest)	Returns information about a specific ML input channel in a collaboration.
default GetCollaborationMlInputChannelResponse	getCollaborationMLInputChannel(GetCollaborationMlInputChannelRequest getCollaborationMlInputChannelRequest)	Returns information about a specific ML input channel in a collaboration.
default GetCollaborationTrainedModelResponse	getCollaborationTrainedModel(Consumer<GetCollaborationTrainedModelRequest.Builder> getCollaborationTrainedModelRequest)	Returns information about a trained model in a collaboration.
default GetCollaborationTrainedModelResponse	getCollaborationTrainedModel(GetCollaborationTrainedModelRequest getCollaborationTrainedModelRequest)	Returns information about a trained model in a collaboration.
default GetConfiguredAudienceModelResponse	getConfiguredAudienceModel(Consumer<GetConfiguredAudienceModelRequest.Builder> getConfiguredAudienceModelRequest)	Returns information about a specified configured audience model.
default GetConfiguredAudienceModelResponse	getConfiguredAudienceModel(GetConfiguredAudienceModelRequest getConfiguredAudienceModelRequest)	Returns information about a specified configured audience model.
default GetConfiguredAudienceModelPolicyResponse	getConfiguredAudienceModelPolicy(Consumer<GetConfiguredAudienceModelPolicyRequest.Builder> getConfiguredAudienceModelPolicyRequest)	Returns information about a configured audience model policy.
default GetConfiguredAudienceModelPolicyResponse	getConfiguredAudienceModelPolicy(GetConfiguredAudienceModelPolicyRequest getConfiguredAudienceModelPolicyRequest)	Returns information about a configured audience model policy.
default GetConfiguredModelAlgorithmResponse	getConfiguredModelAlgorithm(Consumer<GetConfiguredModelAlgorithmRequest.Builder> getConfiguredModelAlgorithmRequest)	Returns information about a configured model algorithm.
default GetConfiguredModelAlgorithmResponse	getConfiguredModelAlgorithm(GetConfiguredModelAlgorithmRequest getConfiguredModelAlgorithmRequest)	Returns information about a configured model algorithm.
default GetConfiguredModelAlgorithmAssociationResponse	getConfiguredModelAlgorithmAssociation(Consumer<GetConfiguredModelAlgorithmAssociationRequest.Builder> getConfiguredModelAlgorithmAssociationRequest)	Returns information about a configured model algorithm association.
default GetConfiguredModelAlgorithmAssociationResponse	getConfiguredModelAlgorithmAssociation(GetConfiguredModelAlgorithmAssociationRequest getConfiguredModelAlgorithmAssociationRequest)	Returns information about a configured model algorithm association.
default GetMlConfigurationResponse	getMLConfiguration(Consumer<GetMlConfigurationRequest.Builder> getMlConfigurationRequest)	Returns information about a specific ML configuration.
default GetMlConfigurationResponse	getMLConfiguration(GetMlConfigurationRequest getMlConfigurationRequest)	Returns information about a specific ML configuration.
default GetMlInputChannelResponse	getMLInputChannel(Consumer<GetMlInputChannelRequest.Builder> getMlInputChannelRequest)	Returns information about an ML input channel.
default GetMlInputChannelResponse	getMLInputChannel(GetMlInputChannelRequest getMlInputChannelRequest)	Returns information about an ML input channel.
default GetTrainedModelResponse	getTrainedModel(Consumer<GetTrainedModelRequest.Builder> getTrainedModelRequest)	Returns information about a trained model.
default GetTrainedModelResponse	getTrainedModel(GetTrainedModelRequest getTrainedModelRequest)	Returns information about a trained model.
default GetTrainedModelInferenceJobResponse	getTrainedModelInferenceJob(Consumer<GetTrainedModelInferenceJobRequest.Builder> getTrainedModelInferenceJobRequest)	Returns information about a trained model inference job.
default GetTrainedModelInferenceJobResponse	getTrainedModelInferenceJob(GetTrainedModelInferenceJobRequest getTrainedModelInferenceJobRequest)	Returns information about a trained model inference job.
default GetTrainingDatasetResponse	getTrainingDataset(Consumer<GetTrainingDatasetRequest.Builder> getTrainingDatasetRequest)	Returns information about a training dataset.
default GetTrainingDatasetResponse	getTrainingDataset(GetTrainingDatasetRequest getTrainingDatasetRequest)	Returns information about a training dataset.
default ListAudienceExportJobsResponse	listAudienceExportJobs(Consumer<ListAudienceExportJobsRequest.Builder> listAudienceExportJobsRequest)	Returns a list of the audience export jobs.
default ListAudienceExportJobsResponse	listAudienceExportJobs(ListAudienceExportJobsRequest listAudienceExportJobsRequest)	Returns a list of the audience export jobs.
default ListAudienceExportJobsIterable	listAudienceExportJobsPaginator(Consumer<ListAudienceExportJobsRequest.Builder> listAudienceExportJobsRequest)	This is a variant of listAudienceExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceExportJobsRequest) operation.
default ListAudienceExportJobsIterable	listAudienceExportJobsPaginator(ListAudienceExportJobsRequest listAudienceExportJobsRequest)	This is a variant of listAudienceExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceExportJobsRequest) operation.
default ListAudienceGenerationJobsResponse	listAudienceGenerationJobs(Consumer<ListAudienceGenerationJobsRequest.Builder> listAudienceGenerationJobsRequest)	Returns a list of audience generation jobs.
default ListAudienceGenerationJobsResponse	listAudienceGenerationJobs(ListAudienceGenerationJobsRequest listAudienceGenerationJobsRequest)	Returns a list of audience generation jobs.
default ListAudienceGenerationJobsIterable	listAudienceGenerationJobsPaginator(Consumer<ListAudienceGenerationJobsRequest.Builder> listAudienceGenerationJobsRequest)	This is a variant of listAudienceGenerationJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceGenerationJobsRequest) operation.
default ListAudienceGenerationJobsIterable	listAudienceGenerationJobsPaginator(ListAudienceGenerationJobsRequest listAudienceGenerationJobsRequest)	This is a variant of listAudienceGenerationJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceGenerationJobsRequest) operation.
default ListAudienceModelsResponse	listAudienceModels(Consumer<ListAudienceModelsRequest.Builder> listAudienceModelsRequest)	Returns a list of audience models.
default ListAudienceModelsResponse	listAudienceModels(ListAudienceModelsRequest listAudienceModelsRequest)	Returns a list of audience models.
default ListAudienceModelsIterable	listAudienceModelsPaginator(Consumer<ListAudienceModelsRequest.Builder> listAudienceModelsRequest)	This is a variant of listAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceModelsRequest) operation.
default ListAudienceModelsIterable	listAudienceModelsPaginator(ListAudienceModelsRequest listAudienceModelsRequest)	This is a variant of listAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceModelsRequest) operation.
default ListCollaborationConfiguredModelAlgorithmAssociationsResponse	listCollaborationConfiguredModelAlgorithmAssociations(Consumer<ListCollaborationConfiguredModelAlgorithmAssociationsRequest.Builder> listCollaborationConfiguredModelAlgorithmAssociationsRequest)	Returns a list of the configured model algorithm associations in a collaboration.
default ListCollaborationConfiguredModelAlgorithmAssociationsResponse	listCollaborationConfiguredModelAlgorithmAssociations(ListCollaborationConfiguredModelAlgorithmAssociationsRequest listCollaborationConfiguredModelAlgorithmAssociationsRequest)	Returns a list of the configured model algorithm associations in a collaboration.
default ListCollaborationConfiguredModelAlgorithmAssociationsIterable	listCollaborationConfiguredModelAlgorithmAssociationsPaginator(Consumer<ListCollaborationConfiguredModelAlgorithmAssociationsRequest.Builder> listCollaborationConfiguredModelAlgorithmAssociationsRequest)	This is a variant of listCollaborationConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationConfiguredModelAlgorithmAssociationsRequest) operation.
default ListCollaborationConfiguredModelAlgorithmAssociationsIterable	listCollaborationConfiguredModelAlgorithmAssociationsPaginator(ListCollaborationConfiguredModelAlgorithmAssociationsRequest listCollaborationConfiguredModelAlgorithmAssociationsRequest)	This is a variant of listCollaborationConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationConfiguredModelAlgorithmAssociationsRequest) operation.
default ListCollaborationMlInputChannelsResponse	listCollaborationMLInputChannels(Consumer<ListCollaborationMlInputChannelsRequest.Builder> listCollaborationMlInputChannelsRequest)	Returns a list of the ML input channels in a collaboration.
default ListCollaborationMlInputChannelsResponse	listCollaborationMLInputChannels(ListCollaborationMlInputChannelsRequest listCollaborationMlInputChannelsRequest)	Returns a list of the ML input channels in a collaboration.
default ListCollaborationMLInputChannelsIterable	listCollaborationMLInputChannelsPaginator(Consumer<ListCollaborationMlInputChannelsRequest.Builder> listCollaborationMlInputChannelsRequest)	This is a variant of listCollaborationMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationMlInputChannelsRequest) operation.
default ListCollaborationMLInputChannelsIterable	listCollaborationMLInputChannelsPaginator(ListCollaborationMlInputChannelsRequest listCollaborationMlInputChannelsRequest)	This is a variant of listCollaborationMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationMlInputChannelsRequest) operation.
default ListCollaborationTrainedModelExportJobsResponse	listCollaborationTrainedModelExportJobs(Consumer<ListCollaborationTrainedModelExportJobsRequest.Builder> listCollaborationTrainedModelExportJobsRequest)	Returns a list of the export jobs for a trained model in a collaboration.
default ListCollaborationTrainedModelExportJobsResponse	listCollaborationTrainedModelExportJobs(ListCollaborationTrainedModelExportJobsRequest listCollaborationTrainedModelExportJobsRequest)	Returns a list of the export jobs for a trained model in a collaboration.
default ListCollaborationTrainedModelExportJobsIterable	listCollaborationTrainedModelExportJobsPaginator(Consumer<ListCollaborationTrainedModelExportJobsRequest.Builder> listCollaborationTrainedModelExportJobsRequest)	This is a variant of listCollaborationTrainedModelExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelExportJobsRequest) operation.
default ListCollaborationTrainedModelExportJobsIterable	listCollaborationTrainedModelExportJobsPaginator(ListCollaborationTrainedModelExportJobsRequest listCollaborationTrainedModelExportJobsRequest)	This is a variant of listCollaborationTrainedModelExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelExportJobsRequest) operation.
default ListCollaborationTrainedModelInferenceJobsResponse	listCollaborationTrainedModelInferenceJobs(Consumer<ListCollaborationTrainedModelInferenceJobsRequest.Builder> listCollaborationTrainedModelInferenceJobsRequest)	Returns a list of trained model inference jobs in a specified collaboration.
default ListCollaborationTrainedModelInferenceJobsResponse	listCollaborationTrainedModelInferenceJobs(ListCollaborationTrainedModelInferenceJobsRequest listCollaborationTrainedModelInferenceJobsRequest)	Returns a list of trained model inference jobs in a specified collaboration.
default ListCollaborationTrainedModelInferenceJobsIterable	listCollaborationTrainedModelInferenceJobsPaginator(Consumer<ListCollaborationTrainedModelInferenceJobsRequest.Builder> listCollaborationTrainedModelInferenceJobsRequest)	This is a variant of listCollaborationTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelInferenceJobsRequest) operation.
default ListCollaborationTrainedModelInferenceJobsIterable	listCollaborationTrainedModelInferenceJobsPaginator(ListCollaborationTrainedModelInferenceJobsRequest listCollaborationTrainedModelInferenceJobsRequest)	This is a variant of listCollaborationTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelInferenceJobsRequest) operation.
default ListCollaborationTrainedModelsResponse	listCollaborationTrainedModels(Consumer<ListCollaborationTrainedModelsRequest.Builder> listCollaborationTrainedModelsRequest)	Returns a list of the trained models in a collaboration.
default ListCollaborationTrainedModelsResponse	listCollaborationTrainedModels(ListCollaborationTrainedModelsRequest listCollaborationTrainedModelsRequest)	Returns a list of the trained models in a collaboration.
default ListCollaborationTrainedModelsIterable	listCollaborationTrainedModelsPaginator(Consumer<ListCollaborationTrainedModelsRequest.Builder> listCollaborationTrainedModelsRequest)	This is a variant of listCollaborationTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelsRequest) operation.
default ListCollaborationTrainedModelsIterable	listCollaborationTrainedModelsPaginator(ListCollaborationTrainedModelsRequest listCollaborationTrainedModelsRequest)	This is a variant of listCollaborationTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelsRequest) operation.
default ListConfiguredAudienceModelsResponse	listConfiguredAudienceModels(Consumer<ListConfiguredAudienceModelsRequest.Builder> listConfiguredAudienceModelsRequest)	Returns a list of the configured audience models.
default ListConfiguredAudienceModelsResponse	listConfiguredAudienceModels(ListConfiguredAudienceModelsRequest listConfiguredAudienceModelsRequest)	Returns a list of the configured audience models.
default ListConfiguredAudienceModelsIterable	listConfiguredAudienceModelsPaginator(Consumer<ListConfiguredAudienceModelsRequest.Builder> listConfiguredAudienceModelsRequest)	This is a variant of listConfiguredAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredAudienceModelsRequest) operation.
default ListConfiguredAudienceModelsIterable	listConfiguredAudienceModelsPaginator(ListConfiguredAudienceModelsRequest listConfiguredAudienceModelsRequest)	This is a variant of listConfiguredAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredAudienceModelsRequest) operation.
default ListConfiguredModelAlgorithmAssociationsResponse	listConfiguredModelAlgorithmAssociations(Consumer<ListConfiguredModelAlgorithmAssociationsRequest.Builder> listConfiguredModelAlgorithmAssociationsRequest)	Returns a list of configured model algorithm associations.
default ListConfiguredModelAlgorithmAssociationsResponse	listConfiguredModelAlgorithmAssociations(ListConfiguredModelAlgorithmAssociationsRequest listConfiguredModelAlgorithmAssociationsRequest)	Returns a list of configured model algorithm associations.
default ListConfiguredModelAlgorithmAssociationsIterable	listConfiguredModelAlgorithmAssociationsPaginator(Consumer<ListConfiguredModelAlgorithmAssociationsRequest.Builder> listConfiguredModelAlgorithmAssociationsRequest)	This is a variant of listConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmAssociationsRequest) operation.
default ListConfiguredModelAlgorithmAssociationsIterable	listConfiguredModelAlgorithmAssociationsPaginator(ListConfiguredModelAlgorithmAssociationsRequest listConfiguredModelAlgorithmAssociationsRequest)	This is a variant of listConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmAssociationsRequest) operation.
default ListConfiguredModelAlgorithmsResponse	listConfiguredModelAlgorithms(Consumer<ListConfiguredModelAlgorithmsRequest.Builder> listConfiguredModelAlgorithmsRequest)	Returns a list of configured model algorithms.
default ListConfiguredModelAlgorithmsResponse	listConfiguredModelAlgorithms(ListConfiguredModelAlgorithmsRequest listConfiguredModelAlgorithmsRequest)	Returns a list of configured model algorithms.
default ListConfiguredModelAlgorithmsIterable	listConfiguredModelAlgorithmsPaginator(Consumer<ListConfiguredModelAlgorithmsRequest.Builder> listConfiguredModelAlgorithmsRequest)	This is a variant of listConfiguredModelAlgorithms(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmsRequest) operation.
default ListConfiguredModelAlgorithmsIterable	listConfiguredModelAlgorithmsPaginator(ListConfiguredModelAlgorithmsRequest listConfiguredModelAlgorithmsRequest)	This is a variant of listConfiguredModelAlgorithms(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmsRequest) operation.
default ListMlInputChannelsResponse	listMLInputChannels(Consumer<ListMlInputChannelsRequest.Builder> listMlInputChannelsRequest)	Returns a list of ML input channels.
default ListMlInputChannelsResponse	listMLInputChannels(ListMlInputChannelsRequest listMlInputChannelsRequest)	Returns a list of ML input channels.
default ListMLInputChannelsIterable	listMLInputChannelsPaginator(Consumer<ListMlInputChannelsRequest.Builder> listMlInputChannelsRequest)	This is a variant of listMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListMlInputChannelsRequest) operation.
default ListMLInputChannelsIterable	listMLInputChannelsPaginator(ListMlInputChannelsRequest listMlInputChannelsRequest)	This is a variant of listMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListMlInputChannelsRequest) operation.
default ListTagsForResourceResponse	listTagsForResource(Consumer<ListTagsForResourceRequest.Builder> listTagsForResourceRequest)	Returns a list of tags for a provided resource.
default ListTagsForResourceResponse	listTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest)	Returns a list of tags for a provided resource.
default ListTrainedModelInferenceJobsResponse	listTrainedModelInferenceJobs(Consumer<ListTrainedModelInferenceJobsRequest.Builder> listTrainedModelInferenceJobsRequest)	Returns a list of trained model inference jobs that match the request parameters.
default ListTrainedModelInferenceJobsResponse	listTrainedModelInferenceJobs(ListTrainedModelInferenceJobsRequest listTrainedModelInferenceJobsRequest)	Returns a list of trained model inference jobs that match the request parameters.
default ListTrainedModelInferenceJobsIterable	listTrainedModelInferenceJobsPaginator(Consumer<ListTrainedModelInferenceJobsRequest.Builder> listTrainedModelInferenceJobsRequest)	This is a variant of listTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelInferenceJobsRequest) operation.
default ListTrainedModelInferenceJobsIterable	listTrainedModelInferenceJobsPaginator(ListTrainedModelInferenceJobsRequest listTrainedModelInferenceJobsRequest)	This is a variant of listTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelInferenceJobsRequest) operation.
default ListTrainedModelsResponse	listTrainedModels(Consumer<ListTrainedModelsRequest.Builder> listTrainedModelsRequest)	Returns a list of trained models.
default ListTrainedModelsResponse	listTrainedModels(ListTrainedModelsRequest listTrainedModelsRequest)	Returns a list of trained models.
default ListTrainedModelsIterable	listTrainedModelsPaginator(Consumer<ListTrainedModelsRequest.Builder> listTrainedModelsRequest)	This is a variant of listTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelsRequest) operation.
default ListTrainedModelsIterable	listTrainedModelsPaginator(ListTrainedModelsRequest listTrainedModelsRequest)	This is a variant of listTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelsRequest) operation.
default ListTrainedModelVersionsResponse	listTrainedModelVersions(Consumer<ListTrainedModelVersionsRequest.Builder> listTrainedModelVersionsRequest)	Returns a list of trained model versions for a specified trained model.
default ListTrainedModelVersionsResponse	listTrainedModelVersions(ListTrainedModelVersionsRequest listTrainedModelVersionsRequest)	Returns a list of trained model versions for a specified trained model.
default ListTrainedModelVersionsIterable	listTrainedModelVersionsPaginator(Consumer<ListTrainedModelVersionsRequest.Builder> listTrainedModelVersionsRequest)	This is a variant of listTrainedModelVersions(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelVersionsRequest) operation.
default ListTrainedModelVersionsIterable	listTrainedModelVersionsPaginator(ListTrainedModelVersionsRequest listTrainedModelVersionsRequest)	This is a variant of listTrainedModelVersions(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelVersionsRequest) operation.
default ListTrainingDatasetsResponse	listTrainingDatasets(Consumer<ListTrainingDatasetsRequest.Builder> listTrainingDatasetsRequest)	Returns a list of training datasets.
default ListTrainingDatasetsResponse	listTrainingDatasets(ListTrainingDatasetsRequest listTrainingDatasetsRequest)	Returns a list of training datasets.
default ListTrainingDatasetsIterable	listTrainingDatasetsPaginator(Consumer<ListTrainingDatasetsRequest.Builder> listTrainingDatasetsRequest)	This is a variant of listTrainingDatasets(software.amazon.awssdk.services.cleanroomsml.model.ListTrainingDatasetsRequest) operation.
default ListTrainingDatasetsIterable	listTrainingDatasetsPaginator(ListTrainingDatasetsRequest listTrainingDatasetsRequest)	This is a variant of listTrainingDatasets(software.amazon.awssdk.services.cleanroomsml.model.ListTrainingDatasetsRequest) operation.
default PutConfiguredAudienceModelPolicyResponse	putConfiguredAudienceModelPolicy(Consumer<PutConfiguredAudienceModelPolicyRequest.Builder> putConfiguredAudienceModelPolicyRequest)	Create or update the resource policy for a configured audience model.
default PutConfiguredAudienceModelPolicyResponse	putConfiguredAudienceModelPolicy(PutConfiguredAudienceModelPolicyRequest putConfiguredAudienceModelPolicyRequest)	Create or update the resource policy for a configured audience model.
default PutMlConfigurationResponse	putMLConfiguration(Consumer<PutMlConfigurationRequest.Builder> putMlConfigurationRequest)	Assigns information about an ML configuration.
default PutMlConfigurationResponse	putMLConfiguration(PutMlConfigurationRequest putMlConfigurationRequest)	Assigns information about an ML configuration.
default CleanRoomsMlServiceClientConfiguration	serviceClientConfiguration()	The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration
static ServiceMetadata	serviceMetadata()
default StartAudienceExportJobResponse	startAudienceExportJob(Consumer<StartAudienceExportJobRequest.Builder> startAudienceExportJobRequest)	Export an audience of a specified size after you have generated an audience.
default StartAudienceExportJobResponse	startAudienceExportJob(StartAudienceExportJobRequest startAudienceExportJobRequest)	Export an audience of a specified size after you have generated an audience.
default StartAudienceGenerationJobResponse	startAudienceGenerationJob(Consumer<StartAudienceGenerationJobRequest.Builder> startAudienceGenerationJobRequest)	Information necessary to start the audience generation job.
default StartAudienceGenerationJobResponse	startAudienceGenerationJob(StartAudienceGenerationJobRequest startAudienceGenerationJobRequest)	Information necessary to start the audience generation job.
default StartTrainedModelExportJobResponse	startTrainedModelExportJob(Consumer<StartTrainedModelExportJobRequest.Builder> startTrainedModelExportJobRequest)	Provides the information necessary to start a trained model export job.
default StartTrainedModelExportJobResponse	startTrainedModelExportJob(StartTrainedModelExportJobRequest startTrainedModelExportJobRequest)	Provides the information necessary to start a trained model export job.
default StartTrainedModelInferenceJobResponse	startTrainedModelInferenceJob(Consumer<StartTrainedModelInferenceJobRequest.Builder> startTrainedModelInferenceJobRequest)	Defines the information necessary to begin a trained model inference job.
default StartTrainedModelInferenceJobResponse	startTrainedModelInferenceJob(StartTrainedModelInferenceJobRequest startTrainedModelInferenceJobRequest)	Defines the information necessary to begin a trained model inference job.
default TagResourceResponse	tagResource(Consumer<TagResourceRequest.Builder> tagResourceRequest)	Adds metadata tags to a specified resource.
default TagResourceResponse	tagResource(TagResourceRequest tagResourceRequest)	Adds metadata tags to a specified resource.
default UntagResourceResponse	untagResource(Consumer<UntagResourceRequest.Builder> untagResourceRequest)	Removes metadata tags from a specified resource.
default UntagResourceResponse	untagResource(UntagResourceRequest untagResourceRequest)	Removes metadata tags from a specified resource.
default UpdateConfiguredAudienceModelResponse	updateConfiguredAudienceModel(Consumer<UpdateConfiguredAudienceModelRequest.Builder> updateConfiguredAudienceModelRequest)	Provides the information necessary to update a configured audience model.
default UpdateConfiguredAudienceModelResponse	updateConfiguredAudienceModel(UpdateConfiguredAudienceModelRequest updateConfiguredAudienceModelRequest)	Provides the information necessary to update a configured audience model.

Methods inherited from interface software.amazon.awssdk.utils.SdkAutoCloseable

close

Methods inherited from interface software.amazon.awssdk.core.SdkClient

serviceName

Field Details

SERVICE_NAME

static final String SERVICE_NAME

See Also:

• Constant Field Values

SERVICE_METADATA_ID

static final String SERVICE_METADATA_ID

Value for looking up the service's metadata from the ServiceMetadataProvider.

See Also:

• Constant Field Values

Method Details

cancelTrainedModel

default CancelTrainedModelResponse cancelTrainedModel(CancelTrainedModelRequest cancelTrainedModelRequest)
                                               throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Submits a request to cancel the trained model job.

Parameters:

cancelTrainedModelRequest -

Returns:

Result of the CancelTrainedModel operation returned by the service.

See Also:

• AWS API Documentation

cancelTrainedModel

default CancelTrainedModelResponse cancelTrainedModel(Consumer<CancelTrainedModelRequest.Builder> cancelTrainedModelRequest)
                                               throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Submits a request to cancel the trained model job.

This is a convenience which creates an instance of the CancelTrainedModelRequest.Builder avoiding the need to create one manually via CancelTrainedModelRequest.builder()

Parameters:

cancelTrainedModelRequest - A Consumer that will call methods on CancelTrainedModelRequest.Builder to create a request.

Returns:

Result of the CancelTrainedModel operation returned by the service.

See Also:

• AWS API Documentation

cancelTrainedModelInferenceJob

default CancelTrainedModelInferenceJobResponse cancelTrainedModelInferenceJob(CancelTrainedModelInferenceJobRequest cancelTrainedModelInferenceJobRequest)
                                                                       throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Submits a request to cancel a trained model inference job.

Parameters:

cancelTrainedModelInferenceJobRequest -

Returns:

Result of the CancelTrainedModelInferenceJob operation returned by the service.

See Also:

• AWS API Documentation

cancelTrainedModelInferenceJob

default CancelTrainedModelInferenceJobResponse cancelTrainedModelInferenceJob(Consumer<CancelTrainedModelInferenceJobRequest.Builder> cancelTrainedModelInferenceJobRequest)
                                                                       throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Submits a request to cancel a trained model inference job.

This is a convenience which creates an instance of the CancelTrainedModelInferenceJobRequest.Builder avoiding the need to create one manually via CancelTrainedModelInferenceJobRequest.builder()

Parameters:

cancelTrainedModelInferenceJobRequest - A Consumer that will call methods on CancelTrainedModelInferenceJobRequest.Builder to create a request.

Returns:

Result of the CancelTrainedModelInferenceJob operation returned by the service.

See Also:

• AWS API Documentation

createAudienceModel

default CreateAudienceModelResponse createAudienceModel(CreateAudienceModelRequest createAudienceModelRequest)
                                                 throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Defines the information necessary to create an audience model. An audience model is a machine learning model that Clean Rooms ML trains to measure similarity between users. Clean Rooms ML manages training and storing the audience model. The audience model can be used in multiple calls to the StartAudienceGenerationJob API.

Parameters:

createAudienceModelRequest -

Returns:

Result of the CreateAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

createAudienceModel

default CreateAudienceModelResponse createAudienceModel(Consumer<CreateAudienceModelRequest.Builder> createAudienceModelRequest)
                                                 throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Defines the information necessary to create an audience model. An audience model is a machine learning model that Clean Rooms ML trains to measure similarity between users. Clean Rooms ML manages training and storing the audience model. The audience model can be used in multiple calls to the StartAudienceGenerationJob API.

This is a convenience which creates an instance of the CreateAudienceModelRequest.Builder avoiding the need to create one manually via CreateAudienceModelRequest.builder()

Parameters:

createAudienceModelRequest - A Consumer that will call methods on CreateAudienceModelRequest.Builder to create a request.

Returns:

Result of the CreateAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

createConfiguredAudienceModel

default CreateConfiguredAudienceModelResponse createConfiguredAudienceModel(CreateConfiguredAudienceModelRequest createConfiguredAudienceModelRequest)
                                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Defines the information necessary to create a configured audience model.

Parameters:

createConfiguredAudienceModelRequest -

Returns:

Result of the CreateConfiguredAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

createConfiguredAudienceModel

default CreateConfiguredAudienceModelResponse createConfiguredAudienceModel(Consumer<CreateConfiguredAudienceModelRequest.Builder> createConfiguredAudienceModelRequest)
                                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Defines the information necessary to create a configured audience model.

This is a convenience which creates an instance of the CreateConfiguredAudienceModelRequest.Builder avoiding the need to create one manually via CreateConfiguredAudienceModelRequest.builder()

Parameters:

createConfiguredAudienceModelRequest - A Consumer that will call methods on CreateConfiguredAudienceModelRequest.Builder to create a request.

Returns:

Result of the CreateConfiguredAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

createConfiguredModelAlgorithm

default CreateConfiguredModelAlgorithmResponse createConfiguredModelAlgorithm(CreateConfiguredModelAlgorithmRequest createConfiguredModelAlgorithmRequest)
                                                                       throws ConflictException,
ValidationException,
AccessDeniedException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Creates a configured model algorithm using a container image stored in an ECR repository.

Parameters:

createConfiguredModelAlgorithmRequest -

Returns:

Result of the CreateConfiguredModelAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

createConfiguredModelAlgorithm

default CreateConfiguredModelAlgorithmResponse createConfiguredModelAlgorithm(Consumer<CreateConfiguredModelAlgorithmRequest.Builder> createConfiguredModelAlgorithmRequest)
                                                                       throws ConflictException,
ValidationException,
AccessDeniedException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Creates a configured model algorithm using a container image stored in an ECR repository.

This is a convenience which creates an instance of the CreateConfiguredModelAlgorithmRequest.Builder avoiding the need to create one manually via CreateConfiguredModelAlgorithmRequest.builder()

Parameters:

createConfiguredModelAlgorithmRequest - A Consumer that will call methods on CreateConfiguredModelAlgorithmRequest.Builder to create a request.

Returns:

Result of the CreateConfiguredModelAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

createConfiguredModelAlgorithmAssociation

default CreateConfiguredModelAlgorithmAssociationResponse createConfiguredModelAlgorithmAssociation(CreateConfiguredModelAlgorithmAssociationRequest createConfiguredModelAlgorithmAssociationRequest)
                                                                                             throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Associates a configured model algorithm to a collaboration for use by any member of the collaboration.

Parameters:

createConfiguredModelAlgorithmAssociationRequest -

Returns:

Result of the CreateConfiguredModelAlgorithmAssociation operation returned by the service.

See Also:

• AWS API Documentation

createConfiguredModelAlgorithmAssociation

default CreateConfiguredModelAlgorithmAssociationResponse createConfiguredModelAlgorithmAssociation(Consumer<CreateConfiguredModelAlgorithmAssociationRequest.Builder> createConfiguredModelAlgorithmAssociationRequest)
                                                                                             throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Associates a configured model algorithm to a collaboration for use by any member of the collaboration.

This is a convenience which creates an instance of the CreateConfiguredModelAlgorithmAssociationRequest.Builder avoiding the need to create one manually via CreateConfiguredModelAlgorithmAssociationRequest.builder()

Parameters:

createConfiguredModelAlgorithmAssociationRequest - A Consumer that will call methods on CreateConfiguredModelAlgorithmAssociationRequest.Builder to create a request.

Returns:

Result of the CreateConfiguredModelAlgorithmAssociation operation returned by the service.

See Also:

• AWS API Documentation

createMLInputChannel

default CreateMlInputChannelResponse createMLInputChannel(CreateMlInputChannelRequest createMlInputChannelRequest)
                                                   throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Provides the information to create an ML input channel. An ML input channel is the result of a query that can be used for ML modeling.

Parameters:

createMlInputChannelRequest -

Returns:

Result of the CreateMLInputChannel operation returned by the service.

See Also:

• AWS API Documentation

createMLInputChannel

default CreateMlInputChannelResponse createMLInputChannel(Consumer<CreateMlInputChannelRequest.Builder> createMlInputChannelRequest)
                                                   throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Provides the information to create an ML input channel. An ML input channel is the result of a query that can be used for ML modeling.

This is a convenience which creates an instance of the CreateMlInputChannelRequest.Builder avoiding the need to create one manually via CreateMlInputChannelRequest.builder()

Parameters:

createMlInputChannelRequest - A Consumer that will call methods on CreateMlInputChannelRequest.Builder to create a request.

Returns:

Result of the CreateMLInputChannel operation returned by the service.

See Also:

• AWS API Documentation

createTrainedModel

default CreateTrainedModelResponse createTrainedModel(CreateTrainedModelRequest createTrainedModelRequest)
                                               throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
InternalServiceException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Creates a trained model from an associated configured model algorithm using data from any member of the collaboration.

Parameters:

createTrainedModelRequest -

Returns:

Result of the CreateTrainedModel operation returned by the service.

See Also:

• AWS API Documentation

createTrainedModel

default CreateTrainedModelResponse createTrainedModel(Consumer<CreateTrainedModelRequest.Builder> createTrainedModelRequest)
                                               throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
InternalServiceException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Creates a trained model from an associated configured model algorithm using data from any member of the collaboration.

This is a convenience which creates an instance of the CreateTrainedModelRequest.Builder avoiding the need to create one manually via CreateTrainedModelRequest.builder()

Parameters:

createTrainedModelRequest - A Consumer that will call methods on CreateTrainedModelRequest.Builder to create a request.

Returns:

Result of the CreateTrainedModel operation returned by the service.

See Also:

• AWS API Documentation

createTrainingDataset

default CreateTrainingDatasetResponse createTrainingDataset(CreateTrainingDatasetRequest createTrainingDatasetRequest)
                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Defines the information necessary to create a training dataset. In Clean Rooms ML, the TrainingDataset is metadata that points to a Glue table, which is read only during AudienceModel creation.

Parameters:

createTrainingDatasetRequest -

Returns:

Result of the CreateTrainingDataset operation returned by the service.

See Also:

• AWS API Documentation

createTrainingDataset

default CreateTrainingDatasetResponse createTrainingDataset(Consumer<CreateTrainingDatasetRequest.Builder> createTrainingDatasetRequest)
                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Defines the information necessary to create a training dataset. In Clean Rooms ML, the TrainingDataset is metadata that points to a Glue table, which is read only during AudienceModel creation.

This is a convenience which creates an instance of the CreateTrainingDatasetRequest.Builder avoiding the need to create one manually via CreateTrainingDatasetRequest.builder()

Parameters:

createTrainingDatasetRequest - A Consumer that will call methods on CreateTrainingDatasetRequest.Builder to create a request.

Returns:

Result of the CreateTrainingDataset operation returned by the service.

See Also:

• AWS API Documentation

deleteAudienceGenerationJob

default DeleteAudienceGenerationJobResponse deleteAudienceGenerationJob(DeleteAudienceGenerationJobRequest deleteAudienceGenerationJobRequest)
                                                                 throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes the specified audience generation job, and removes all data associated with the job.

Parameters:

deleteAudienceGenerationJobRequest -

Returns:

Result of the DeleteAudienceGenerationJob operation returned by the service.

See Also:

• AWS API Documentation

deleteAudienceGenerationJob

default DeleteAudienceGenerationJobResponse deleteAudienceGenerationJob(Consumer<DeleteAudienceGenerationJobRequest.Builder> deleteAudienceGenerationJobRequest)
                                                                 throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes the specified audience generation job, and removes all data associated with the job.

This is a convenience which creates an instance of the DeleteAudienceGenerationJobRequest.Builder avoiding the need to create one manually via DeleteAudienceGenerationJobRequest.builder()

Parameters:

deleteAudienceGenerationJobRequest - A Consumer that will call methods on DeleteAudienceGenerationJobRequest.Builder to create a request.

Returns:

Result of the DeleteAudienceGenerationJob operation returned by the service.

See Also:

• AWS API Documentation

deleteAudienceModel

default DeleteAudienceModelResponse deleteAudienceModel(DeleteAudienceModelRequest deleteAudienceModelRequest)
                                                 throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Specifies an audience model that you want to delete. You can't delete an audience model if there are any configured audience models that depend on the audience model.

Parameters:

deleteAudienceModelRequest -

Returns:

Result of the DeleteAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

deleteAudienceModel

default DeleteAudienceModelResponse deleteAudienceModel(Consumer<DeleteAudienceModelRequest.Builder> deleteAudienceModelRequest)
                                                 throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Specifies an audience model that you want to delete. You can't delete an audience model if there are any configured audience models that depend on the audience model.

This is a convenience which creates an instance of the DeleteAudienceModelRequest.Builder avoiding the need to create one manually via DeleteAudienceModelRequest.builder()

Parameters:

deleteAudienceModelRequest - A Consumer that will call methods on DeleteAudienceModelRequest.Builder to create a request.

Returns:

Result of the DeleteAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

deleteConfiguredAudienceModel

default DeleteConfiguredAudienceModelResponse deleteConfiguredAudienceModel(DeleteConfiguredAudienceModelRequest deleteConfiguredAudienceModelRequest)
                                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes the specified configured audience model. You can't delete a configured audience model if there are any lookalike models that use the configured audience model. If you delete a configured audience model, it will be removed from any collaborations that it is associated to.

Parameters:

deleteConfiguredAudienceModelRequest -

Returns:

Result of the DeleteConfiguredAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

deleteConfiguredAudienceModel

default DeleteConfiguredAudienceModelResponse deleteConfiguredAudienceModel(Consumer<DeleteConfiguredAudienceModelRequest.Builder> deleteConfiguredAudienceModelRequest)
                                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes the specified configured audience model. You can't delete a configured audience model if there are any lookalike models that use the configured audience model. If you delete a configured audience model, it will be removed from any collaborations that it is associated to.

This is a convenience which creates an instance of the DeleteConfiguredAudienceModelRequest.Builder avoiding the need to create one manually via DeleteConfiguredAudienceModelRequest.builder()

Parameters:

deleteConfiguredAudienceModelRequest - A Consumer that will call methods on DeleteConfiguredAudienceModelRequest.Builder to create a request.

Returns:

Result of the DeleteConfiguredAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

deleteConfiguredAudienceModelPolicy

default DeleteConfiguredAudienceModelPolicyResponse deleteConfiguredAudienceModelPolicy(DeleteConfiguredAudienceModelPolicyRequest deleteConfiguredAudienceModelPolicyRequest)
                                                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes the specified configured audience model policy.

Parameters:

deleteConfiguredAudienceModelPolicyRequest -

Returns:

Result of the DeleteConfiguredAudienceModelPolicy operation returned by the service.

See Also:

• AWS API Documentation

deleteConfiguredAudienceModelPolicy

default DeleteConfiguredAudienceModelPolicyResponse deleteConfiguredAudienceModelPolicy(Consumer<DeleteConfiguredAudienceModelPolicyRequest.Builder> deleteConfiguredAudienceModelPolicyRequest)
                                                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes the specified configured audience model policy.

This is a convenience which creates an instance of the DeleteConfiguredAudienceModelPolicyRequest.Builder avoiding the need to create one manually via DeleteConfiguredAudienceModelPolicyRequest.builder()

Parameters:

deleteConfiguredAudienceModelPolicyRequest - A Consumer that will call methods on DeleteConfiguredAudienceModelPolicyRequest.Builder to create a request.

Returns:

Result of the DeleteConfiguredAudienceModelPolicy operation returned by the service.

See Also:

• AWS API Documentation

deleteConfiguredModelAlgorithm

default DeleteConfiguredModelAlgorithmResponse deleteConfiguredModelAlgorithm(DeleteConfiguredModelAlgorithmRequest deleteConfiguredModelAlgorithmRequest)
                                                                       throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes a configured model algorithm.

Parameters:

deleteConfiguredModelAlgorithmRequest -

Returns:

Result of the DeleteConfiguredModelAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

deleteConfiguredModelAlgorithm

default DeleteConfiguredModelAlgorithmResponse deleteConfiguredModelAlgorithm(Consumer<DeleteConfiguredModelAlgorithmRequest.Builder> deleteConfiguredModelAlgorithmRequest)
                                                                       throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes a configured model algorithm.

This is a convenience which creates an instance of the DeleteConfiguredModelAlgorithmRequest.Builder avoiding the need to create one manually via DeleteConfiguredModelAlgorithmRequest.builder()

Parameters:

deleteConfiguredModelAlgorithmRequest - A Consumer that will call methods on DeleteConfiguredModelAlgorithmRequest.Builder to create a request.

Returns:

Result of the DeleteConfiguredModelAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

deleteConfiguredModelAlgorithmAssociation

default DeleteConfiguredModelAlgorithmAssociationResponse deleteConfiguredModelAlgorithmAssociation(DeleteConfiguredModelAlgorithmAssociationRequest deleteConfiguredModelAlgorithmAssociationRequest)
                                                                                             throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes a configured model algorithm association.

Parameters:

deleteConfiguredModelAlgorithmAssociationRequest -

Returns:

Result of the DeleteConfiguredModelAlgorithmAssociation operation returned by the service.

See Also:

• AWS API Documentation

deleteConfiguredModelAlgorithmAssociation

default DeleteConfiguredModelAlgorithmAssociationResponse deleteConfiguredModelAlgorithmAssociation(Consumer<DeleteConfiguredModelAlgorithmAssociationRequest.Builder> deleteConfiguredModelAlgorithmAssociationRequest)
                                                                                             throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes a configured model algorithm association.

This is a convenience which creates an instance of the DeleteConfiguredModelAlgorithmAssociationRequest.Builder avoiding the need to create one manually via DeleteConfiguredModelAlgorithmAssociationRequest.builder()

Parameters:

deleteConfiguredModelAlgorithmAssociationRequest - A Consumer that will call methods on DeleteConfiguredModelAlgorithmAssociationRequest.Builder to create a request.

Returns:

Result of the DeleteConfiguredModelAlgorithmAssociation operation returned by the service.

See Also:

• AWS API Documentation

deleteMLConfiguration

default DeleteMlConfigurationResponse deleteMLConfiguration(DeleteMlConfigurationRequest deleteMlConfigurationRequest)
                                                     throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes a ML modeling configuration.

Parameters:

deleteMlConfigurationRequest -

Returns:

Result of the DeleteMLConfiguration operation returned by the service.

See Also:

• AWS API Documentation

deleteMLConfiguration

default DeleteMlConfigurationResponse deleteMLConfiguration(Consumer<DeleteMlConfigurationRequest.Builder> deleteMlConfigurationRequest)
                                                     throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes a ML modeling configuration.

This is a convenience which creates an instance of the DeleteMlConfigurationRequest.Builder avoiding the need to create one manually via DeleteMlConfigurationRequest.builder()

Parameters:

deleteMlConfigurationRequest - A Consumer that will call methods on DeleteMlConfigurationRequest.Builder to create a request.

Returns:

Result of the DeleteMLConfiguration operation returned by the service.

See Also:

• AWS API Documentation

deleteMLInputChannelData

default DeleteMlInputChannelDataResponse deleteMLInputChannelData(DeleteMlInputChannelDataRequest deleteMlInputChannelDataRequest)
                                                           throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Provides the information necessary to delete an ML input channel.

Parameters:

deleteMlInputChannelDataRequest -

Returns:

Result of the DeleteMLInputChannelData operation returned by the service.

See Also:

• AWS API Documentation

deleteMLInputChannelData

default DeleteMlInputChannelDataResponse deleteMLInputChannelData(Consumer<DeleteMlInputChannelDataRequest.Builder> deleteMlInputChannelDataRequest)
                                                           throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Provides the information necessary to delete an ML input channel.

This is a convenience which creates an instance of the DeleteMlInputChannelDataRequest.Builder avoiding the need to create one manually via DeleteMlInputChannelDataRequest.builder()

Parameters:

deleteMlInputChannelDataRequest - A Consumer that will call methods on DeleteMlInputChannelDataRequest.Builder to create a request.

Returns:

Result of the DeleteMLInputChannelData operation returned by the service.

See Also:

• AWS API Documentation

deleteTrainedModelOutput

default DeleteTrainedModelOutputResponse deleteTrainedModelOutput(DeleteTrainedModelOutputRequest deleteTrainedModelOutputRequest)
                                                           throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes the model artifacts stored by the service.

Parameters:

deleteTrainedModelOutputRequest -

Returns:

Result of the DeleteTrainedModelOutput operation returned by the service.

See Also:

• AWS API Documentation

deleteTrainedModelOutput

default DeleteTrainedModelOutputResponse deleteTrainedModelOutput(Consumer<DeleteTrainedModelOutputRequest.Builder> deleteTrainedModelOutputRequest)
                                                           throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Deletes the model artifacts stored by the service.

This is a convenience which creates an instance of the DeleteTrainedModelOutputRequest.Builder avoiding the need to create one manually via DeleteTrainedModelOutputRequest.builder()

Parameters:

deleteTrainedModelOutputRequest - A Consumer that will call methods on DeleteTrainedModelOutputRequest.Builder to create a request.

Returns:

Result of the DeleteTrainedModelOutput operation returned by the service.

See Also:

• AWS API Documentation

deleteTrainingDataset

default DeleteTrainingDatasetResponse deleteTrainingDataset(DeleteTrainingDatasetRequest deleteTrainingDatasetRequest)
                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Specifies a training dataset that you want to delete. You can't delete a training dataset if there are any audience models that depend on the training dataset. In Clean Rooms ML, the TrainingDataset is metadata that points to a Glue table, which is read only during AudienceModel creation. This action deletes the metadata.

Parameters:

deleteTrainingDatasetRequest -

Returns:

Result of the DeleteTrainingDataset operation returned by the service.

See Also:

• AWS API Documentation

deleteTrainingDataset

default DeleteTrainingDatasetResponse deleteTrainingDataset(Consumer<DeleteTrainingDatasetRequest.Builder> deleteTrainingDatasetRequest)
                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Specifies a training dataset that you want to delete. You can't delete a training dataset if there are any audience models that depend on the training dataset. In Clean Rooms ML, the TrainingDataset is metadata that points to a Glue table, which is read only during AudienceModel creation. This action deletes the metadata.

This is a convenience which creates an instance of the DeleteTrainingDatasetRequest.Builder avoiding the need to create one manually via DeleteTrainingDatasetRequest.builder()

Parameters:

deleteTrainingDatasetRequest - A Consumer that will call methods on DeleteTrainingDatasetRequest.Builder to create a request.

Returns:

Result of the DeleteTrainingDataset operation returned by the service.

See Also:

• AWS API Documentation

getAudienceGenerationJob

default GetAudienceGenerationJobResponse getAudienceGenerationJob(GetAudienceGenerationJobRequest getAudienceGenerationJobRequest)
                                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about an audience generation job.

Parameters:

getAudienceGenerationJobRequest -

Returns:

Result of the GetAudienceGenerationJob operation returned by the service.

See Also:

• AWS API Documentation

getAudienceGenerationJob

default GetAudienceGenerationJobResponse getAudienceGenerationJob(Consumer<GetAudienceGenerationJobRequest.Builder> getAudienceGenerationJobRequest)
                                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about an audience generation job.

This is a convenience which creates an instance of the GetAudienceGenerationJobRequest.Builder avoiding the need to create one manually via GetAudienceGenerationJobRequest.builder()

Parameters:

getAudienceGenerationJobRequest - A Consumer that will call methods on GetAudienceGenerationJobRequest.Builder to create a request.

Returns:

Result of the GetAudienceGenerationJob operation returned by the service.

See Also:

• AWS API Documentation

getAudienceModel

default GetAudienceModelResponse getAudienceModel(GetAudienceModelRequest getAudienceModelRequest)
                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about an audience model

Parameters:

getAudienceModelRequest -

Returns:

Result of the GetAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

getAudienceModel

default GetAudienceModelResponse getAudienceModel(Consumer<GetAudienceModelRequest.Builder> getAudienceModelRequest)
                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about an audience model

This is a convenience which creates an instance of the GetAudienceModelRequest.Builder avoiding the need to create one manually via GetAudienceModelRequest.builder()

Parameters:

getAudienceModelRequest - A Consumer that will call methods on GetAudienceModelRequest.Builder to create a request.

Returns:

Result of the GetAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

getCollaborationConfiguredModelAlgorithmAssociation

default GetCollaborationConfiguredModelAlgorithmAssociationResponse getCollaborationConfiguredModelAlgorithmAssociation(GetCollaborationConfiguredModelAlgorithmAssociationRequest getCollaborationConfiguredModelAlgorithmAssociationRequest)
                                                                                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about the configured model algorithm association in a collaboration.

Parameters:

getCollaborationConfiguredModelAlgorithmAssociationRequest -

Returns:

Result of the GetCollaborationConfiguredModelAlgorithmAssociation operation returned by the service.

See Also:

• AWS API Documentation

getCollaborationConfiguredModelAlgorithmAssociation

default GetCollaborationConfiguredModelAlgorithmAssociationResponse getCollaborationConfiguredModelAlgorithmAssociation(Consumer<GetCollaborationConfiguredModelAlgorithmAssociationRequest.Builder> getCollaborationConfiguredModelAlgorithmAssociationRequest)
                                                                                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about the configured model algorithm association in a collaboration.

This is a convenience which creates an instance of the GetCollaborationConfiguredModelAlgorithmAssociationRequest.Builder avoiding the need to create one manually via GetCollaborationConfiguredModelAlgorithmAssociationRequest.builder()

Parameters:

getCollaborationConfiguredModelAlgorithmAssociationRequest - A Consumer that will call methods on GetCollaborationConfiguredModelAlgorithmAssociationRequest.Builder to create a request.

Returns:

Result of the GetCollaborationConfiguredModelAlgorithmAssociation operation returned by the service.

See Also:

• AWS API Documentation

getCollaborationMLInputChannel

default GetCollaborationMlInputChannelResponse getCollaborationMLInputChannel(GetCollaborationMlInputChannelRequest getCollaborationMlInputChannelRequest)
                                                                       throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a specific ML input channel in a collaboration.

Parameters:

getCollaborationMlInputChannelRequest -

Returns:

Result of the GetCollaborationMLInputChannel operation returned by the service.

See Also:

• AWS API Documentation

getCollaborationMLInputChannel

default GetCollaborationMlInputChannelResponse getCollaborationMLInputChannel(Consumer<GetCollaborationMlInputChannelRequest.Builder> getCollaborationMlInputChannelRequest)
                                                                       throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a specific ML input channel in a collaboration.

This is a convenience which creates an instance of the GetCollaborationMlInputChannelRequest.Builder avoiding the need to create one manually via GetCollaborationMlInputChannelRequest.builder()

Parameters:

getCollaborationMlInputChannelRequest - A Consumer that will call methods on GetCollaborationMlInputChannelRequest.Builder to create a request.

Returns:

Result of the GetCollaborationMLInputChannel operation returned by the service.

See Also:

• AWS API Documentation

getCollaborationTrainedModel

default GetCollaborationTrainedModelResponse getCollaborationTrainedModel(GetCollaborationTrainedModelRequest getCollaborationTrainedModelRequest)
                                                                   throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a trained model in a collaboration.

Parameters:

getCollaborationTrainedModelRequest -

Returns:

Result of the GetCollaborationTrainedModel operation returned by the service.

See Also:

• AWS API Documentation

getCollaborationTrainedModel

default GetCollaborationTrainedModelResponse getCollaborationTrainedModel(Consumer<GetCollaborationTrainedModelRequest.Builder> getCollaborationTrainedModelRequest)
                                                                   throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a trained model in a collaboration.

This is a convenience which creates an instance of the GetCollaborationTrainedModelRequest.Builder avoiding the need to create one manually via GetCollaborationTrainedModelRequest.builder()

Parameters:

getCollaborationTrainedModelRequest - A Consumer that will call methods on GetCollaborationTrainedModelRequest.Builder to create a request.

Returns:

Result of the GetCollaborationTrainedModel operation returned by the service.

See Also:

• AWS API Documentation

getConfiguredAudienceModel

default GetConfiguredAudienceModelResponse getConfiguredAudienceModel(GetConfiguredAudienceModelRequest getConfiguredAudienceModelRequest)
                                                               throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a specified configured audience model.

Parameters:

getConfiguredAudienceModelRequest -

Returns:

Result of the GetConfiguredAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

getConfiguredAudienceModel

default GetConfiguredAudienceModelResponse getConfiguredAudienceModel(Consumer<GetConfiguredAudienceModelRequest.Builder> getConfiguredAudienceModelRequest)
                                                               throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a specified configured audience model.

This is a convenience which creates an instance of the GetConfiguredAudienceModelRequest.Builder avoiding the need to create one manually via GetConfiguredAudienceModelRequest.builder()

Parameters:

getConfiguredAudienceModelRequest - A Consumer that will call methods on GetConfiguredAudienceModelRequest.Builder to create a request.

Returns:

Result of the GetConfiguredAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

getConfiguredAudienceModelPolicy

default GetConfiguredAudienceModelPolicyResponse getConfiguredAudienceModelPolicy(GetConfiguredAudienceModelPolicyRequest getConfiguredAudienceModelPolicyRequest)
                                                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a configured audience model policy.

Parameters:

getConfiguredAudienceModelPolicyRequest -

Returns:

Result of the GetConfiguredAudienceModelPolicy operation returned by the service.

See Also:

• AWS API Documentation

getConfiguredAudienceModelPolicy

default GetConfiguredAudienceModelPolicyResponse getConfiguredAudienceModelPolicy(Consumer<GetConfiguredAudienceModelPolicyRequest.Builder> getConfiguredAudienceModelPolicyRequest)
                                                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a configured audience model policy.

This is a convenience which creates an instance of the GetConfiguredAudienceModelPolicyRequest.Builder avoiding the need to create one manually via GetConfiguredAudienceModelPolicyRequest.builder()

Parameters:

getConfiguredAudienceModelPolicyRequest - A Consumer that will call methods on GetConfiguredAudienceModelPolicyRequest.Builder to create a request.

Returns:

Result of the GetConfiguredAudienceModelPolicy operation returned by the service.

See Also:

• AWS API Documentation

getConfiguredModelAlgorithm

default GetConfiguredModelAlgorithmResponse getConfiguredModelAlgorithm(GetConfiguredModelAlgorithmRequest getConfiguredModelAlgorithmRequest)
                                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a configured model algorithm.

Parameters:

getConfiguredModelAlgorithmRequest -

Returns:

Result of the GetConfiguredModelAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

getConfiguredModelAlgorithm

default GetConfiguredModelAlgorithmResponse getConfiguredModelAlgorithm(Consumer<GetConfiguredModelAlgorithmRequest.Builder> getConfiguredModelAlgorithmRequest)
                                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a configured model algorithm.

This is a convenience which creates an instance of the GetConfiguredModelAlgorithmRequest.Builder avoiding the need to create one manually via GetConfiguredModelAlgorithmRequest.builder()

Parameters:

getConfiguredModelAlgorithmRequest - A Consumer that will call methods on GetConfiguredModelAlgorithmRequest.Builder to create a request.

Returns:

Result of the GetConfiguredModelAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

getConfiguredModelAlgorithmAssociation

default GetConfiguredModelAlgorithmAssociationResponse getConfiguredModelAlgorithmAssociation(GetConfiguredModelAlgorithmAssociationRequest getConfiguredModelAlgorithmAssociationRequest)
                                                                                       throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a configured model algorithm association.

Parameters:

getConfiguredModelAlgorithmAssociationRequest -

Returns:

Result of the GetConfiguredModelAlgorithmAssociation operation returned by the service.

See Also:

• AWS API Documentation

getConfiguredModelAlgorithmAssociation

default GetConfiguredModelAlgorithmAssociationResponse getConfiguredModelAlgorithmAssociation(Consumer<GetConfiguredModelAlgorithmAssociationRequest.Builder> getConfiguredModelAlgorithmAssociationRequest)
                                                                                       throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a configured model algorithm association.

This is a convenience which creates an instance of the GetConfiguredModelAlgorithmAssociationRequest.Builder avoiding the need to create one manually via GetConfiguredModelAlgorithmAssociationRequest.builder()

Parameters:

getConfiguredModelAlgorithmAssociationRequest - A Consumer that will call methods on GetConfiguredModelAlgorithmAssociationRequest.Builder to create a request.

Returns:

Result of the GetConfiguredModelAlgorithmAssociation operation returned by the service.

See Also:

• AWS API Documentation

getMLConfiguration

default GetMlConfigurationResponse getMLConfiguration(GetMlConfigurationRequest getMlConfigurationRequest)
                                               throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a specific ML configuration.

Parameters:

getMlConfigurationRequest -

Returns:

Result of the GetMLConfiguration operation returned by the service.

See Also:

• AWS API Documentation

getMLConfiguration

default GetMlConfigurationResponse getMLConfiguration(Consumer<GetMlConfigurationRequest.Builder> getMlConfigurationRequest)
                                               throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a specific ML configuration.

This is a convenience which creates an instance of the GetMlConfigurationRequest.Builder avoiding the need to create one manually via GetMlConfigurationRequest.builder()

Parameters:

getMlConfigurationRequest - A Consumer that will call methods on GetMlConfigurationRequest.Builder to create a request.

Returns:

Result of the GetMLConfiguration operation returned by the service.

See Also:

• AWS API Documentation

getMLInputChannel

default GetMlInputChannelResponse getMLInputChannel(GetMlInputChannelRequest getMlInputChannelRequest)
                                             throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about an ML input channel.

Parameters:

getMlInputChannelRequest -

Returns:

Result of the GetMLInputChannel operation returned by the service.

See Also:

• AWS API Documentation

getMLInputChannel

default GetMlInputChannelResponse getMLInputChannel(Consumer<GetMlInputChannelRequest.Builder> getMlInputChannelRequest)
                                             throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about an ML input channel.

This is a convenience which creates an instance of the GetMlInputChannelRequest.Builder avoiding the need to create one manually via GetMlInputChannelRequest.builder()

Parameters:

getMlInputChannelRequest - A Consumer that will call methods on GetMlInputChannelRequest.Builder to create a request.

Returns:

Result of the GetMLInputChannel operation returned by the service.

See Also:

• AWS API Documentation

getTrainedModel

default GetTrainedModelResponse getTrainedModel(GetTrainedModelRequest getTrainedModelRequest)
                                         throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a trained model.

Parameters:

getTrainedModelRequest -

Returns:

Result of the GetTrainedModel operation returned by the service.

See Also:

• AWS API Documentation

getTrainedModel

default GetTrainedModelResponse getTrainedModel(Consumer<GetTrainedModelRequest.Builder> getTrainedModelRequest)
                                         throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a trained model.

This is a convenience which creates an instance of the GetTrainedModelRequest.Builder avoiding the need to create one manually via GetTrainedModelRequest.builder()

Parameters:

getTrainedModelRequest - A Consumer that will call methods on GetTrainedModelRequest.Builder to create a request.

Returns:

Result of the GetTrainedModel operation returned by the service.

See Also:

• AWS API Documentation

getTrainedModelInferenceJob

default GetTrainedModelInferenceJobResponse getTrainedModelInferenceJob(GetTrainedModelInferenceJobRequest getTrainedModelInferenceJobRequest)
                                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a trained model inference job.

Parameters:

getTrainedModelInferenceJobRequest -

Returns:

Result of the GetTrainedModelInferenceJob operation returned by the service.

See Also:

• AWS API Documentation

getTrainedModelInferenceJob

default GetTrainedModelInferenceJobResponse getTrainedModelInferenceJob(Consumer<GetTrainedModelInferenceJobRequest.Builder> getTrainedModelInferenceJobRequest)
                                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a trained model inference job.

This is a convenience which creates an instance of the GetTrainedModelInferenceJobRequest.Builder avoiding the need to create one manually via GetTrainedModelInferenceJobRequest.builder()

Parameters:

getTrainedModelInferenceJobRequest - A Consumer that will call methods on GetTrainedModelInferenceJobRequest.Builder to create a request.

Returns:

Result of the GetTrainedModelInferenceJob operation returned by the service.

See Also:

• AWS API Documentation

getTrainingDataset

default GetTrainingDatasetResponse getTrainingDataset(GetTrainingDatasetRequest getTrainingDatasetRequest)
                                               throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a training dataset.

Parameters:

getTrainingDatasetRequest -

Returns:

Result of the GetTrainingDataset operation returned by the service.

See Also:

• AWS API Documentation

getTrainingDataset

default GetTrainingDatasetResponse getTrainingDataset(Consumer<GetTrainingDatasetRequest.Builder> getTrainingDatasetRequest)
                                               throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns information about a training dataset.

This is a convenience which creates an instance of the GetTrainingDatasetRequest.Builder avoiding the need to create one manually via GetTrainingDatasetRequest.builder()

Parameters:

getTrainingDatasetRequest - A Consumer that will call methods on GetTrainingDatasetRequest.Builder to create a request.

Returns:

Result of the GetTrainingDataset operation returned by the service.

See Also:

• AWS API Documentation

listAudienceExportJobs

default ListAudienceExportJobsResponse listAudienceExportJobs(ListAudienceExportJobsRequest listAudienceExportJobsRequest)
                                                       throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the audience export jobs.

Parameters:

listAudienceExportJobsRequest -

Returns:

Result of the ListAudienceExportJobs operation returned by the service.

See Also:

• AWS API Documentation

listAudienceExportJobs

default ListAudienceExportJobsResponse listAudienceExportJobs(Consumer<ListAudienceExportJobsRequest.Builder> listAudienceExportJobsRequest)
                                                       throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the audience export jobs.

This is a convenience which creates an instance of the ListAudienceExportJobsRequest.Builder avoiding the need to create one manually via ListAudienceExportJobsRequest.builder()

Parameters:

listAudienceExportJobsRequest - A Consumer that will call methods on ListAudienceExportJobsRequest.Builder to create a request.

Returns:

Result of the ListAudienceExportJobs operation returned by the service.

See Also:

• AWS API Documentation

listAudienceExportJobsPaginator

default ListAudienceExportJobsIterable listAudienceExportJobsPaginator(ListAudienceExportJobsRequest listAudienceExportJobsRequest)
                                                                throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listAudienceExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceExportJobsIterable responses = client.listAudienceExportJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceExportJobsIterable responses = client
             .listAudienceExportJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListAudienceExportJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceExportJobsIterable responses = client.listAudienceExportJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listAudienceExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceExportJobsRequest) operation.

Parameters:

listAudienceExportJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAudienceExportJobsPaginator

default ListAudienceExportJobsIterable listAudienceExportJobsPaginator(Consumer<ListAudienceExportJobsRequest.Builder> listAudienceExportJobsRequest)
                                                                throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listAudienceExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceExportJobsIterable responses = client.listAudienceExportJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceExportJobsIterable responses = client
             .listAudienceExportJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListAudienceExportJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceExportJobsIterable responses = client.listAudienceExportJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listAudienceExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceExportJobsRequest) operation.

This is a convenience which creates an instance of the ListAudienceExportJobsRequest.Builder avoiding the need to create one manually via ListAudienceExportJobsRequest.builder()

Parameters:

listAudienceExportJobsRequest - A Consumer that will call methods on ListAudienceExportJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAudienceGenerationJobs

default ListAudienceGenerationJobsResponse listAudienceGenerationJobs(ListAudienceGenerationJobsRequest listAudienceGenerationJobsRequest)
                                                               throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of audience generation jobs.

Parameters:

listAudienceGenerationJobsRequest -

Returns:

Result of the ListAudienceGenerationJobs operation returned by the service.

See Also:

• AWS API Documentation

listAudienceGenerationJobs

default ListAudienceGenerationJobsResponse listAudienceGenerationJobs(Consumer<ListAudienceGenerationJobsRequest.Builder> listAudienceGenerationJobsRequest)
                                                               throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of audience generation jobs.

This is a convenience which creates an instance of the ListAudienceGenerationJobsRequest.Builder avoiding the need to create one manually via ListAudienceGenerationJobsRequest.builder()

Parameters:

listAudienceGenerationJobsRequest - A Consumer that will call methods on ListAudienceGenerationJobsRequest.Builder to create a request.

Returns:

Result of the ListAudienceGenerationJobs operation returned by the service.

See Also:

• AWS API Documentation

listAudienceGenerationJobsPaginator

default ListAudienceGenerationJobsIterable listAudienceGenerationJobsPaginator(ListAudienceGenerationJobsRequest listAudienceGenerationJobsRequest)
                                                                        throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listAudienceGenerationJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceGenerationJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceGenerationJobsIterable responses = client.listAudienceGenerationJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceGenerationJobsIterable responses = client
             .listAudienceGenerationJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListAudienceGenerationJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceGenerationJobsIterable responses = client.listAudienceGenerationJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listAudienceGenerationJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceGenerationJobsRequest) operation.

Parameters:

listAudienceGenerationJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAudienceGenerationJobsPaginator

default ListAudienceGenerationJobsIterable listAudienceGenerationJobsPaginator(Consumer<ListAudienceGenerationJobsRequest.Builder> listAudienceGenerationJobsRequest)
                                                                        throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listAudienceGenerationJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceGenerationJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceGenerationJobsIterable responses = client.listAudienceGenerationJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceGenerationJobsIterable responses = client
             .listAudienceGenerationJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListAudienceGenerationJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceGenerationJobsIterable responses = client.listAudienceGenerationJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listAudienceGenerationJobs(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceGenerationJobsRequest) operation.

This is a convenience which creates an instance of the ListAudienceGenerationJobsRequest.Builder avoiding the need to create one manually via ListAudienceGenerationJobsRequest.builder()

Parameters:

listAudienceGenerationJobsRequest - A Consumer that will call methods on ListAudienceGenerationJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAudienceModels

default ListAudienceModelsResponse listAudienceModels(ListAudienceModelsRequest listAudienceModelsRequest)
                                               throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of audience models.

Parameters:

listAudienceModelsRequest -

Returns:

Result of the ListAudienceModels operation returned by the service.

See Also:

• AWS API Documentation

listAudienceModels

default ListAudienceModelsResponse listAudienceModels(Consumer<ListAudienceModelsRequest.Builder> listAudienceModelsRequest)
                                               throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of audience models.

This is a convenience which creates an instance of the ListAudienceModelsRequest.Builder avoiding the need to create one manually via ListAudienceModelsRequest.builder()

Parameters:

listAudienceModelsRequest - A Consumer that will call methods on ListAudienceModelsRequest.Builder to create a request.

Returns:

Result of the ListAudienceModels operation returned by the service.

See Also:

• AWS API Documentation

listAudienceModelsPaginator

default ListAudienceModelsIterable listAudienceModelsPaginator(ListAudienceModelsRequest listAudienceModelsRequest)
                                                        throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceModelsIterable responses = client.listAudienceModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceModelsIterable responses = client
             .listAudienceModelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListAudienceModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceModelsIterable responses = client.listAudienceModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceModelsRequest) operation.

Parameters:

listAudienceModelsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAudienceModelsPaginator

default ListAudienceModelsIterable listAudienceModelsPaginator(Consumer<ListAudienceModelsRequest.Builder> listAudienceModelsRequest)
                                                        throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceModelsIterable responses = client.listAudienceModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceModelsIterable responses = client
             .listAudienceModelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListAudienceModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListAudienceModelsIterable responses = client.listAudienceModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListAudienceModelsRequest) operation.

This is a convenience which creates an instance of the ListAudienceModelsRequest.Builder avoiding the need to create one manually via ListAudienceModelsRequest.builder()

Parameters:

listAudienceModelsRequest - A Consumer that will call methods on ListAudienceModelsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationConfiguredModelAlgorithmAssociations

default ListCollaborationConfiguredModelAlgorithmAssociationsResponse listCollaborationConfiguredModelAlgorithmAssociations(ListCollaborationConfiguredModelAlgorithmAssociationsRequest listCollaborationConfiguredModelAlgorithmAssociationsRequest)
                                                                                                                     throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the configured model algorithm associations in a collaboration.

Parameters:

listCollaborationConfiguredModelAlgorithmAssociationsRequest -

Returns:

Result of the ListCollaborationConfiguredModelAlgorithmAssociations operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationConfiguredModelAlgorithmAssociations

default ListCollaborationConfiguredModelAlgorithmAssociationsResponse listCollaborationConfiguredModelAlgorithmAssociations(Consumer<ListCollaborationConfiguredModelAlgorithmAssociationsRequest.Builder> listCollaborationConfiguredModelAlgorithmAssociationsRequest)
                                                                                                                     throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the configured model algorithm associations in a collaboration.

This is a convenience which creates an instance of the ListCollaborationConfiguredModelAlgorithmAssociationsRequest.Builder avoiding the need to create one manually via ListCollaborationConfiguredModelAlgorithmAssociationsRequest.builder()

Parameters:

listCollaborationConfiguredModelAlgorithmAssociationsRequest - A Consumer that will call methods on ListCollaborationConfiguredModelAlgorithmAssociationsRequest.Builder to create a request.

Returns:

Result of the ListCollaborationConfiguredModelAlgorithmAssociations operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationConfiguredModelAlgorithmAssociationsPaginator

default ListCollaborationConfiguredModelAlgorithmAssociationsIterable listCollaborationConfiguredModelAlgorithmAssociationsPaginator(ListCollaborationConfiguredModelAlgorithmAssociationsRequest listCollaborationConfiguredModelAlgorithmAssociationsRequest)
                                                                                                                              throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationConfiguredModelAlgorithmAssociationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationConfiguredModelAlgorithmAssociationsIterable responses = client.listCollaborationConfiguredModelAlgorithmAssociationsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationConfiguredModelAlgorithmAssociationsIterable responses = client
             .listCollaborationConfiguredModelAlgorithmAssociationsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationConfiguredModelAlgorithmAssociationsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationConfiguredModelAlgorithmAssociationsIterable responses = client.listCollaborationConfiguredModelAlgorithmAssociationsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationConfiguredModelAlgorithmAssociationsRequest) operation.

Parameters:

listCollaborationConfiguredModelAlgorithmAssociationsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationConfiguredModelAlgorithmAssociationsPaginator

default ListCollaborationConfiguredModelAlgorithmAssociationsIterable listCollaborationConfiguredModelAlgorithmAssociationsPaginator(Consumer<ListCollaborationConfiguredModelAlgorithmAssociationsRequest.Builder> listCollaborationConfiguredModelAlgorithmAssociationsRequest)
                                                                                                                              throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationConfiguredModelAlgorithmAssociationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationConfiguredModelAlgorithmAssociationsIterable responses = client.listCollaborationConfiguredModelAlgorithmAssociationsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationConfiguredModelAlgorithmAssociationsIterable responses = client
             .listCollaborationConfiguredModelAlgorithmAssociationsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationConfiguredModelAlgorithmAssociationsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationConfiguredModelAlgorithmAssociationsIterable responses = client.listCollaborationConfiguredModelAlgorithmAssociationsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationConfiguredModelAlgorithmAssociationsRequest) operation.

This is a convenience which creates an instance of the ListCollaborationConfiguredModelAlgorithmAssociationsRequest.Builder avoiding the need to create one manually via ListCollaborationConfiguredModelAlgorithmAssociationsRequest.builder()

Parameters:

listCollaborationConfiguredModelAlgorithmAssociationsRequest - A Consumer that will call methods on ListCollaborationConfiguredModelAlgorithmAssociationsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationMLInputChannels

default ListCollaborationMlInputChannelsResponse listCollaborationMLInputChannels(ListCollaborationMlInputChannelsRequest listCollaborationMlInputChannelsRequest)
                                                                           throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the ML input channels in a collaboration.

Parameters:

listCollaborationMlInputChannelsRequest -

Returns:

Result of the ListCollaborationMLInputChannels operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationMLInputChannels

default ListCollaborationMlInputChannelsResponse listCollaborationMLInputChannels(Consumer<ListCollaborationMlInputChannelsRequest.Builder> listCollaborationMlInputChannelsRequest)
                                                                           throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the ML input channels in a collaboration.

This is a convenience which creates an instance of the ListCollaborationMlInputChannelsRequest.Builder avoiding the need to create one manually via ListCollaborationMlInputChannelsRequest.builder()

Parameters:

listCollaborationMlInputChannelsRequest - A Consumer that will call methods on ListCollaborationMlInputChannelsRequest.Builder to create a request.

Returns:

Result of the ListCollaborationMLInputChannels operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationMLInputChannelsPaginator

default ListCollaborationMLInputChannelsIterable listCollaborationMLInputChannelsPaginator(ListCollaborationMlInputChannelsRequest listCollaborationMlInputChannelsRequest)
                                                                                    throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationMlInputChannelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationMLInputChannelsIterable responses = client.listCollaborationMLInputChannelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationMLInputChannelsIterable responses = client
             .listCollaborationMLInputChannelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationMlInputChannelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationMLInputChannelsIterable responses = client.listCollaborationMLInputChannelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationMlInputChannelsRequest) operation.

Parameters:

listCollaborationMlInputChannelsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationMLInputChannelsPaginator

default ListCollaborationMLInputChannelsIterable listCollaborationMLInputChannelsPaginator(Consumer<ListCollaborationMlInputChannelsRequest.Builder> listCollaborationMlInputChannelsRequest)
                                                                                    throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationMlInputChannelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationMLInputChannelsIterable responses = client.listCollaborationMLInputChannelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationMLInputChannelsIterable responses = client
             .listCollaborationMLInputChannelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationMlInputChannelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationMLInputChannelsIterable responses = client.listCollaborationMLInputChannelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationMlInputChannelsRequest) operation.

This is a convenience which creates an instance of the ListCollaborationMlInputChannelsRequest.Builder avoiding the need to create one manually via ListCollaborationMlInputChannelsRequest.builder()

Parameters:

listCollaborationMlInputChannelsRequest - A Consumer that will call methods on ListCollaborationMlInputChannelsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationTrainedModelExportJobs

default ListCollaborationTrainedModelExportJobsResponse listCollaborationTrainedModelExportJobs(ListCollaborationTrainedModelExportJobsRequest listCollaborationTrainedModelExportJobsRequest)
                                                                                         throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the export jobs for a trained model in a collaboration.

Parameters:

listCollaborationTrainedModelExportJobsRequest -

Returns:

Result of the ListCollaborationTrainedModelExportJobs operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationTrainedModelExportJobs

default ListCollaborationTrainedModelExportJobsResponse listCollaborationTrainedModelExportJobs(Consumer<ListCollaborationTrainedModelExportJobsRequest.Builder> listCollaborationTrainedModelExportJobsRequest)
                                                                                         throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the export jobs for a trained model in a collaboration.

This is a convenience which creates an instance of the ListCollaborationTrainedModelExportJobsRequest.Builder avoiding the need to create one manually via ListCollaborationTrainedModelExportJobsRequest.builder()

Parameters:

listCollaborationTrainedModelExportJobsRequest - A Consumer that will call methods on ListCollaborationTrainedModelExportJobsRequest.Builder to create a request.

Returns:

Result of the ListCollaborationTrainedModelExportJobs operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationTrainedModelExportJobsPaginator

default ListCollaborationTrainedModelExportJobsIterable listCollaborationTrainedModelExportJobsPaginator(ListCollaborationTrainedModelExportJobsRequest listCollaborationTrainedModelExportJobsRequest)
                                                                                                  throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationTrainedModelExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelExportJobsIterable responses = client.listCollaborationTrainedModelExportJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelExportJobsIterable responses = client
             .listCollaborationTrainedModelExportJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelExportJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelExportJobsIterable responses = client.listCollaborationTrainedModelExportJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationTrainedModelExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelExportJobsRequest) operation.

Parameters:

listCollaborationTrainedModelExportJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationTrainedModelExportJobsPaginator

default ListCollaborationTrainedModelExportJobsIterable listCollaborationTrainedModelExportJobsPaginator(Consumer<ListCollaborationTrainedModelExportJobsRequest.Builder> listCollaborationTrainedModelExportJobsRequest)
                                                                                                  throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationTrainedModelExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelExportJobsIterable responses = client.listCollaborationTrainedModelExportJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelExportJobsIterable responses = client
             .listCollaborationTrainedModelExportJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelExportJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelExportJobsIterable responses = client.listCollaborationTrainedModelExportJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationTrainedModelExportJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelExportJobsRequest) operation.

This is a convenience which creates an instance of the ListCollaborationTrainedModelExportJobsRequest.Builder avoiding the need to create one manually via ListCollaborationTrainedModelExportJobsRequest.builder()

Parameters:

listCollaborationTrainedModelExportJobsRequest - A Consumer that will call methods on ListCollaborationTrainedModelExportJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationTrainedModelInferenceJobs

default ListCollaborationTrainedModelInferenceJobsResponse listCollaborationTrainedModelInferenceJobs(ListCollaborationTrainedModelInferenceJobsRequest listCollaborationTrainedModelInferenceJobsRequest)
                                                                                               throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of trained model inference jobs in a specified collaboration.

Parameters:

listCollaborationTrainedModelInferenceJobsRequest -

Returns:

Result of the ListCollaborationTrainedModelInferenceJobs operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationTrainedModelInferenceJobs

default ListCollaborationTrainedModelInferenceJobsResponse listCollaborationTrainedModelInferenceJobs(Consumer<ListCollaborationTrainedModelInferenceJobsRequest.Builder> listCollaborationTrainedModelInferenceJobsRequest)
                                                                                               throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of trained model inference jobs in a specified collaboration.

This is a convenience which creates an instance of the ListCollaborationTrainedModelInferenceJobsRequest.Builder avoiding the need to create one manually via ListCollaborationTrainedModelInferenceJobsRequest.builder()

Parameters:

listCollaborationTrainedModelInferenceJobsRequest - A Consumer that will call methods on ListCollaborationTrainedModelInferenceJobsRequest.Builder to create a request.

Returns:

Result of the ListCollaborationTrainedModelInferenceJobs operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationTrainedModelInferenceJobsPaginator

default ListCollaborationTrainedModelInferenceJobsIterable listCollaborationTrainedModelInferenceJobsPaginator(ListCollaborationTrainedModelInferenceJobsRequest listCollaborationTrainedModelInferenceJobsRequest)
                                                                                                        throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelInferenceJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelInferenceJobsIterable responses = client.listCollaborationTrainedModelInferenceJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelInferenceJobsIterable responses = client
             .listCollaborationTrainedModelInferenceJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelInferenceJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelInferenceJobsIterable responses = client.listCollaborationTrainedModelInferenceJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelInferenceJobsRequest) operation.

Parameters:

listCollaborationTrainedModelInferenceJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationTrainedModelInferenceJobsPaginator

default ListCollaborationTrainedModelInferenceJobsIterable listCollaborationTrainedModelInferenceJobsPaginator(Consumer<ListCollaborationTrainedModelInferenceJobsRequest.Builder> listCollaborationTrainedModelInferenceJobsRequest)
                                                                                                        throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelInferenceJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelInferenceJobsIterable responses = client.listCollaborationTrainedModelInferenceJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelInferenceJobsIterable responses = client
             .listCollaborationTrainedModelInferenceJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelInferenceJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelInferenceJobsIterable responses = client.listCollaborationTrainedModelInferenceJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelInferenceJobsRequest) operation.

This is a convenience which creates an instance of the ListCollaborationTrainedModelInferenceJobsRequest.Builder avoiding the need to create one manually via ListCollaborationTrainedModelInferenceJobsRequest.builder()

Parameters:

listCollaborationTrainedModelInferenceJobsRequest - A Consumer that will call methods on ListCollaborationTrainedModelInferenceJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationTrainedModels

default ListCollaborationTrainedModelsResponse listCollaborationTrainedModels(ListCollaborationTrainedModelsRequest listCollaborationTrainedModelsRequest)
                                                                       throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the trained models in a collaboration.

Parameters:

listCollaborationTrainedModelsRequest -

Returns:

Result of the ListCollaborationTrainedModels operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationTrainedModels

default ListCollaborationTrainedModelsResponse listCollaborationTrainedModels(Consumer<ListCollaborationTrainedModelsRequest.Builder> listCollaborationTrainedModelsRequest)
                                                                       throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the trained models in a collaboration.

This is a convenience which creates an instance of the ListCollaborationTrainedModelsRequest.Builder avoiding the need to create one manually via ListCollaborationTrainedModelsRequest.builder()

Parameters:

listCollaborationTrainedModelsRequest - A Consumer that will call methods on ListCollaborationTrainedModelsRequest.Builder to create a request.

Returns:

Result of the ListCollaborationTrainedModels operation returned by the service.

See Also:

• AWS API Documentation

listCollaborationTrainedModelsPaginator

default ListCollaborationTrainedModelsIterable listCollaborationTrainedModelsPaginator(ListCollaborationTrainedModelsRequest listCollaborationTrainedModelsRequest)
                                                                                throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelsIterable responses = client.listCollaborationTrainedModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelsIterable responses = client
             .listCollaborationTrainedModelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelsIterable responses = client.listCollaborationTrainedModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelsRequest) operation.

Parameters:

listCollaborationTrainedModelsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCollaborationTrainedModelsPaginator

default ListCollaborationTrainedModelsIterable listCollaborationTrainedModelsPaginator(Consumer<ListCollaborationTrainedModelsRequest.Builder> listCollaborationTrainedModelsRequest)
                                                                                throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listCollaborationTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelsIterable responses = client.listCollaborationTrainedModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelsIterable responses = client
             .listCollaborationTrainedModelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListCollaborationTrainedModelsIterable responses = client.listCollaborationTrainedModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listCollaborationTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListCollaborationTrainedModelsRequest) operation.

This is a convenience which creates an instance of the ListCollaborationTrainedModelsRequest.Builder avoiding the need to create one manually via ListCollaborationTrainedModelsRequest.builder()

Parameters:

listCollaborationTrainedModelsRequest - A Consumer that will call methods on ListCollaborationTrainedModelsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listConfiguredAudienceModels

default ListConfiguredAudienceModelsResponse listConfiguredAudienceModels(ListConfiguredAudienceModelsRequest listConfiguredAudienceModelsRequest)
                                                                   throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the configured audience models.

Parameters:

listConfiguredAudienceModelsRequest -

Returns:

Result of the ListConfiguredAudienceModels operation returned by the service.

See Also:

• AWS API Documentation

listConfiguredAudienceModels

default ListConfiguredAudienceModelsResponse listConfiguredAudienceModels(Consumer<ListConfiguredAudienceModelsRequest.Builder> listConfiguredAudienceModelsRequest)
                                                                   throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of the configured audience models.

This is a convenience which creates an instance of the ListConfiguredAudienceModelsRequest.Builder avoiding the need to create one manually via ListConfiguredAudienceModelsRequest.builder()

Parameters:

listConfiguredAudienceModelsRequest - A Consumer that will call methods on ListConfiguredAudienceModelsRequest.Builder to create a request.

Returns:

Result of the ListConfiguredAudienceModels operation returned by the service.

See Also:

• AWS API Documentation

listConfiguredAudienceModelsPaginator

default ListConfiguredAudienceModelsIterable listConfiguredAudienceModelsPaginator(ListConfiguredAudienceModelsRequest listConfiguredAudienceModelsRequest)
                                                                            throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listConfiguredAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredAudienceModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredAudienceModelsIterable responses = client.listConfiguredAudienceModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredAudienceModelsIterable responses = client
             .listConfiguredAudienceModelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredAudienceModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredAudienceModelsIterable responses = client.listConfiguredAudienceModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listConfiguredAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredAudienceModelsRequest) operation.

Parameters:

listConfiguredAudienceModelsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listConfiguredAudienceModelsPaginator

default ListConfiguredAudienceModelsIterable listConfiguredAudienceModelsPaginator(Consumer<ListConfiguredAudienceModelsRequest.Builder> listConfiguredAudienceModelsRequest)
                                                                            throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listConfiguredAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredAudienceModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredAudienceModelsIterable responses = client.listConfiguredAudienceModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredAudienceModelsIterable responses = client
             .listConfiguredAudienceModelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredAudienceModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredAudienceModelsIterable responses = client.listConfiguredAudienceModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listConfiguredAudienceModels(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredAudienceModelsRequest) operation.

This is a convenience which creates an instance of the ListConfiguredAudienceModelsRequest.Builder avoiding the need to create one manually via ListConfiguredAudienceModelsRequest.builder()

Parameters:

listConfiguredAudienceModelsRequest - A Consumer that will call methods on ListConfiguredAudienceModelsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listConfiguredModelAlgorithmAssociations

default ListConfiguredModelAlgorithmAssociationsResponse listConfiguredModelAlgorithmAssociations(ListConfiguredModelAlgorithmAssociationsRequest listConfiguredModelAlgorithmAssociationsRequest)
                                                                                           throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of configured model algorithm associations.

Parameters:

listConfiguredModelAlgorithmAssociationsRequest -

Returns:

Result of the ListConfiguredModelAlgorithmAssociations operation returned by the service.

See Also:

• AWS API Documentation

listConfiguredModelAlgorithmAssociations

default ListConfiguredModelAlgorithmAssociationsResponse listConfiguredModelAlgorithmAssociations(Consumer<ListConfiguredModelAlgorithmAssociationsRequest.Builder> listConfiguredModelAlgorithmAssociationsRequest)
                                                                                           throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of configured model algorithm associations.

This is a convenience which creates an instance of the ListConfiguredModelAlgorithmAssociationsRequest.Builder avoiding the need to create one manually via ListConfiguredModelAlgorithmAssociationsRequest.builder()

Parameters:

listConfiguredModelAlgorithmAssociationsRequest - A Consumer that will call methods on ListConfiguredModelAlgorithmAssociationsRequest.Builder to create a request.

Returns:

Result of the ListConfiguredModelAlgorithmAssociations operation returned by the service.

See Also:

• AWS API Documentation

listConfiguredModelAlgorithmAssociationsPaginator

default ListConfiguredModelAlgorithmAssociationsIterable listConfiguredModelAlgorithmAssociationsPaginator(ListConfiguredModelAlgorithmAssociationsRequest listConfiguredModelAlgorithmAssociationsRequest)
                                                                                                    throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmAssociationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmAssociationsIterable responses = client.listConfiguredModelAlgorithmAssociationsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmAssociationsIterable responses = client
             .listConfiguredModelAlgorithmAssociationsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmAssociationsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmAssociationsIterable responses = client.listConfiguredModelAlgorithmAssociationsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmAssociationsRequest) operation.

Parameters:

listConfiguredModelAlgorithmAssociationsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listConfiguredModelAlgorithmAssociationsPaginator

default ListConfiguredModelAlgorithmAssociationsIterable listConfiguredModelAlgorithmAssociationsPaginator(Consumer<ListConfiguredModelAlgorithmAssociationsRequest.Builder> listConfiguredModelAlgorithmAssociationsRequest)
                                                                                                    throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmAssociationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmAssociationsIterable responses = client.listConfiguredModelAlgorithmAssociationsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmAssociationsIterable responses = client
             .listConfiguredModelAlgorithmAssociationsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmAssociationsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmAssociationsIterable responses = client.listConfiguredModelAlgorithmAssociationsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listConfiguredModelAlgorithmAssociations(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmAssociationsRequest) operation.

This is a convenience which creates an instance of the ListConfiguredModelAlgorithmAssociationsRequest.Builder avoiding the need to create one manually via ListConfiguredModelAlgorithmAssociationsRequest.builder()

Parameters:

listConfiguredModelAlgorithmAssociationsRequest - A Consumer that will call methods on ListConfiguredModelAlgorithmAssociationsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listConfiguredModelAlgorithms

default ListConfiguredModelAlgorithmsResponse listConfiguredModelAlgorithms(ListConfiguredModelAlgorithmsRequest listConfiguredModelAlgorithmsRequest)
                                                                     throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of configured model algorithms.

Parameters:

listConfiguredModelAlgorithmsRequest -

Returns:

Result of the ListConfiguredModelAlgorithms operation returned by the service.

See Also:

• AWS API Documentation

listConfiguredModelAlgorithms

default ListConfiguredModelAlgorithmsResponse listConfiguredModelAlgorithms(Consumer<ListConfiguredModelAlgorithmsRequest.Builder> listConfiguredModelAlgorithmsRequest)
                                                                     throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of configured model algorithms.

This is a convenience which creates an instance of the ListConfiguredModelAlgorithmsRequest.Builder avoiding the need to create one manually via ListConfiguredModelAlgorithmsRequest.builder()

Parameters:

listConfiguredModelAlgorithmsRequest - A Consumer that will call methods on ListConfiguredModelAlgorithmsRequest.Builder to create a request.

Returns:

Result of the ListConfiguredModelAlgorithms operation returned by the service.

See Also:

• AWS API Documentation

listConfiguredModelAlgorithmsPaginator

default ListConfiguredModelAlgorithmsIterable listConfiguredModelAlgorithmsPaginator(ListConfiguredModelAlgorithmsRequest listConfiguredModelAlgorithmsRequest)
                                                                              throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listConfiguredModelAlgorithms(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmsIterable responses = client.listConfiguredModelAlgorithmsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmsIterable responses = client
             .listConfiguredModelAlgorithmsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmsIterable responses = client.listConfiguredModelAlgorithmsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listConfiguredModelAlgorithms(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmsRequest) operation.

Parameters:

listConfiguredModelAlgorithmsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listConfiguredModelAlgorithmsPaginator

default ListConfiguredModelAlgorithmsIterable listConfiguredModelAlgorithmsPaginator(Consumer<ListConfiguredModelAlgorithmsRequest.Builder> listConfiguredModelAlgorithmsRequest)
                                                                              throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listConfiguredModelAlgorithms(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmsIterable responses = client.listConfiguredModelAlgorithmsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmsIterable responses = client
             .listConfiguredModelAlgorithmsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListConfiguredModelAlgorithmsIterable responses = client.listConfiguredModelAlgorithmsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listConfiguredModelAlgorithms(software.amazon.awssdk.services.cleanroomsml.model.ListConfiguredModelAlgorithmsRequest) operation.

This is a convenience which creates an instance of the ListConfiguredModelAlgorithmsRequest.Builder avoiding the need to create one manually via ListConfiguredModelAlgorithmsRequest.builder()

Parameters:

listConfiguredModelAlgorithmsRequest - A Consumer that will call methods on ListConfiguredModelAlgorithmsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMLInputChannels

default ListMlInputChannelsResponse listMLInputChannels(ListMlInputChannelsRequest listMlInputChannelsRequest)
                                                 throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of ML input channels.

Parameters:

listMlInputChannelsRequest -

Returns:

Result of the ListMLInputChannels operation returned by the service.

See Also:

• AWS API Documentation

listMLInputChannels

default ListMlInputChannelsResponse listMLInputChannels(Consumer<ListMlInputChannelsRequest.Builder> listMlInputChannelsRequest)
                                                 throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of ML input channels.

This is a convenience which creates an instance of the ListMlInputChannelsRequest.Builder avoiding the need to create one manually via ListMlInputChannelsRequest.builder()

Parameters:

listMlInputChannelsRequest - A Consumer that will call methods on ListMlInputChannelsRequest.Builder to create a request.

Returns:

Result of the ListMLInputChannels operation returned by the service.

See Also:

• AWS API Documentation

listMLInputChannelsPaginator

default ListMLInputChannelsIterable listMLInputChannelsPaginator(ListMlInputChannelsRequest listMlInputChannelsRequest)
                                                          throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListMlInputChannelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListMLInputChannelsIterable responses = client.listMLInputChannelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListMLInputChannelsIterable responses = client
             .listMLInputChannelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListMlInputChannelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListMLInputChannelsIterable responses = client.listMLInputChannelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListMlInputChannelsRequest) operation.

Parameters:

listMlInputChannelsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMLInputChannelsPaginator

default ListMLInputChannelsIterable listMLInputChannelsPaginator(Consumer<ListMlInputChannelsRequest.Builder> listMlInputChannelsRequest)
                                                          throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListMlInputChannelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListMLInputChannelsIterable responses = client.listMLInputChannelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListMLInputChannelsIterable responses = client
             .listMLInputChannelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListMlInputChannelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListMLInputChannelsIterable responses = client.listMLInputChannelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listMLInputChannels(software.amazon.awssdk.services.cleanroomsml.model.ListMlInputChannelsRequest) operation.

This is a convenience which creates an instance of the ListMlInputChannelsRequest.Builder avoiding the need to create one manually via ListMlInputChannelsRequest.builder()

Parameters:

listMlInputChannelsRequest - A Consumer that will call methods on ListMlInputChannelsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTagsForResource

default ListTagsForResourceResponse listTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest)
                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of tags for a provided resource.

Parameters:

listTagsForResourceRequest -

Returns:

Result of the ListTagsForResource operation returned by the service.

See Also:

• AWS API Documentation

listTagsForResource

default ListTagsForResourceResponse listTagsForResource(Consumer<ListTagsForResourceRequest.Builder> listTagsForResourceRequest)
                                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of tags for a provided resource.

This is a convenience which creates an instance of the ListTagsForResourceRequest.Builder avoiding the need to create one manually via ListTagsForResourceRequest.builder()

Parameters:

listTagsForResourceRequest - A Consumer that will call methods on ListTagsForResourceRequest.Builder to create a request.

Returns:

Result of the ListTagsForResource operation returned by the service.

See Also:

• AWS API Documentation

listTrainedModelInferenceJobs

default ListTrainedModelInferenceJobsResponse listTrainedModelInferenceJobs(ListTrainedModelInferenceJobsRequest listTrainedModelInferenceJobsRequest)
                                                                     throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of trained model inference jobs that match the request parameters.

Parameters:

listTrainedModelInferenceJobsRequest -

Returns:

Result of the ListTrainedModelInferenceJobs operation returned by the service.

See Also:

• AWS API Documentation

listTrainedModelInferenceJobs

default ListTrainedModelInferenceJobsResponse listTrainedModelInferenceJobs(Consumer<ListTrainedModelInferenceJobsRequest.Builder> listTrainedModelInferenceJobsRequest)
                                                                     throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of trained model inference jobs that match the request parameters.

This is a convenience which creates an instance of the ListTrainedModelInferenceJobsRequest.Builder avoiding the need to create one manually via ListTrainedModelInferenceJobsRequest.builder()

Parameters:

listTrainedModelInferenceJobsRequest - A Consumer that will call methods on ListTrainedModelInferenceJobsRequest.Builder to create a request.

Returns:

Result of the ListTrainedModelInferenceJobs operation returned by the service.

See Also:

• AWS API Documentation

listTrainedModelInferenceJobsPaginator

default ListTrainedModelInferenceJobsIterable listTrainedModelInferenceJobsPaginator(ListTrainedModelInferenceJobsRequest listTrainedModelInferenceJobsRequest)
                                                                              throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelInferenceJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelInferenceJobsIterable responses = client.listTrainedModelInferenceJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelInferenceJobsIterable responses = client
             .listTrainedModelInferenceJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelInferenceJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelInferenceJobsIterable responses = client.listTrainedModelInferenceJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelInferenceJobsRequest) operation.

Parameters:

listTrainedModelInferenceJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainedModelInferenceJobsPaginator

default ListTrainedModelInferenceJobsIterable listTrainedModelInferenceJobsPaginator(Consumer<ListTrainedModelInferenceJobsRequest.Builder> listTrainedModelInferenceJobsRequest)
                                                                              throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelInferenceJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelInferenceJobsIterable responses = client.listTrainedModelInferenceJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelInferenceJobsIterable responses = client
             .listTrainedModelInferenceJobsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelInferenceJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelInferenceJobsIterable responses = client.listTrainedModelInferenceJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listTrainedModelInferenceJobs(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelInferenceJobsRequest) operation.

This is a convenience which creates an instance of the ListTrainedModelInferenceJobsRequest.Builder avoiding the need to create one manually via ListTrainedModelInferenceJobsRequest.builder()

Parameters:

listTrainedModelInferenceJobsRequest - A Consumer that will call methods on ListTrainedModelInferenceJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainedModelVersions

default ListTrainedModelVersionsResponse listTrainedModelVersions(ListTrainedModelVersionsRequest listTrainedModelVersionsRequest)
                                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of trained model versions for a specified trained model. This operation allows you to view all versions of a trained model, including information about their status and creation details. You can use this to track the evolution of your trained models and select specific versions for inference or further training.

Parameters:

listTrainedModelVersionsRequest -

Returns:

Result of the ListTrainedModelVersions operation returned by the service.

See Also:

• AWS API Documentation

listTrainedModelVersions

default ListTrainedModelVersionsResponse listTrainedModelVersions(Consumer<ListTrainedModelVersionsRequest.Builder> listTrainedModelVersionsRequest)
                                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of trained model versions for a specified trained model. This operation allows you to view all versions of a trained model, including information about their status and creation details. You can use this to track the evolution of your trained models and select specific versions for inference or further training.

This is a convenience which creates an instance of the ListTrainedModelVersionsRequest.Builder avoiding the need to create one manually via ListTrainedModelVersionsRequest.builder()

Parameters:

listTrainedModelVersionsRequest - A Consumer that will call methods on ListTrainedModelVersionsRequest.Builder to create a request.

Returns:

Result of the ListTrainedModelVersions operation returned by the service.

See Also:

• AWS API Documentation

listTrainedModelVersionsPaginator

default ListTrainedModelVersionsIterable listTrainedModelVersionsPaginator(ListTrainedModelVersionsRequest listTrainedModelVersionsRequest)
                                                                    throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listTrainedModelVersions(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelVersionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelVersionsIterable responses = client.listTrainedModelVersionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelVersionsIterable responses = client
             .listTrainedModelVersionsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelVersionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelVersionsIterable responses = client.listTrainedModelVersionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listTrainedModelVersions(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelVersionsRequest) operation.

Parameters:

listTrainedModelVersionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainedModelVersionsPaginator

default ListTrainedModelVersionsIterable listTrainedModelVersionsPaginator(Consumer<ListTrainedModelVersionsRequest.Builder> listTrainedModelVersionsRequest)
                                                                    throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listTrainedModelVersions(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelVersionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelVersionsIterable responses = client.listTrainedModelVersionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelVersionsIterable responses = client
             .listTrainedModelVersionsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelVersionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelVersionsIterable responses = client.listTrainedModelVersionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listTrainedModelVersions(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelVersionsRequest) operation.

This is a convenience which creates an instance of the ListTrainedModelVersionsRequest.Builder avoiding the need to create one manually via ListTrainedModelVersionsRequest.builder()

Parameters:

listTrainedModelVersionsRequest - A Consumer that will call methods on ListTrainedModelVersionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainedModels

default ListTrainedModelsResponse listTrainedModels(ListTrainedModelsRequest listTrainedModelsRequest)
                                             throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of trained models.

Parameters:

listTrainedModelsRequest -

Returns:

Result of the ListTrainedModels operation returned by the service.

See Also:

• AWS API Documentation

listTrainedModels

default ListTrainedModelsResponse listTrainedModels(Consumer<ListTrainedModelsRequest.Builder> listTrainedModelsRequest)
                                             throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of trained models.

This is a convenience which creates an instance of the ListTrainedModelsRequest.Builder avoiding the need to create one manually via ListTrainedModelsRequest.builder()

Parameters:

listTrainedModelsRequest - A Consumer that will call methods on ListTrainedModelsRequest.Builder to create a request.

Returns:

Result of the ListTrainedModels operation returned by the service.

See Also:

• AWS API Documentation

listTrainedModelsPaginator

default ListTrainedModelsIterable listTrainedModelsPaginator(ListTrainedModelsRequest listTrainedModelsRequest)
                                                      throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelsIterable responses = client.listTrainedModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelsIterable responses = client
             .listTrainedModelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelsIterable responses = client.listTrainedModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelsRequest) operation.

Parameters:

listTrainedModelsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainedModelsPaginator

default ListTrainedModelsIterable listTrainedModelsPaginator(Consumer<ListTrainedModelsRequest.Builder> listTrainedModelsRequest)
                                                      throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelsIterable responses = client.listTrainedModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelsIterable responses = client
             .listTrainedModelsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainedModelsIterable responses = client.listTrainedModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listTrainedModels(software.amazon.awssdk.services.cleanroomsml.model.ListTrainedModelsRequest) operation.

This is a convenience which creates an instance of the ListTrainedModelsRequest.Builder avoiding the need to create one manually via ListTrainedModelsRequest.builder()

Parameters:

listTrainedModelsRequest - A Consumer that will call methods on ListTrainedModelsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainingDatasets

default ListTrainingDatasetsResponse listTrainingDatasets(ListTrainingDatasetsRequest listTrainingDatasetsRequest)
                                                   throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of training datasets.

Parameters:

listTrainingDatasetsRequest -

Returns:

Result of the ListTrainingDatasets operation returned by the service.

See Also:

• AWS API Documentation

listTrainingDatasets

default ListTrainingDatasetsResponse listTrainingDatasets(Consumer<ListTrainingDatasetsRequest.Builder> listTrainingDatasetsRequest)
                                                   throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Returns a list of training datasets.

This is a convenience which creates an instance of the ListTrainingDatasetsRequest.Builder avoiding the need to create one manually via ListTrainingDatasetsRequest.builder()

Parameters:

listTrainingDatasetsRequest - A Consumer that will call methods on ListTrainingDatasetsRequest.Builder to create a request.

Returns:

Result of the ListTrainingDatasets operation returned by the service.

See Also:

• AWS API Documentation

listTrainingDatasetsPaginator

default ListTrainingDatasetsIterable listTrainingDatasetsPaginator(ListTrainingDatasetsRequest listTrainingDatasetsRequest)
                                                            throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listTrainingDatasets(software.amazon.awssdk.services.cleanroomsml.model.ListTrainingDatasetsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainingDatasetsIterable responses = client.listTrainingDatasetsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainingDatasetsIterable responses = client
             .listTrainingDatasetsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListTrainingDatasetsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainingDatasetsIterable responses = client.listTrainingDatasetsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listTrainingDatasets(software.amazon.awssdk.services.cleanroomsml.model.ListTrainingDatasetsRequest) operation.

Parameters:

listTrainingDatasetsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainingDatasetsPaginator

default ListTrainingDatasetsIterable listTrainingDatasetsPaginator(Consumer<ListTrainingDatasetsRequest.Builder> listTrainingDatasetsRequest)
                                                            throws ValidationException,
AccessDeniedException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

This is a variant of listTrainingDatasets(software.amazon.awssdk.services.cleanroomsml.model.ListTrainingDatasetsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainingDatasetsIterable responses = client.listTrainingDatasetsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainingDatasetsIterable responses = client
             .listTrainingDatasetsPaginator(request);
     for (software.amazon.awssdk.services.cleanroomsml.model.ListTrainingDatasetsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.cleanroomsml.paginators.ListTrainingDatasetsIterable responses = client.listTrainingDatasetsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

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 listTrainingDatasets(software.amazon.awssdk.services.cleanroomsml.model.ListTrainingDatasetsRequest) operation.

This is a convenience which creates an instance of the ListTrainingDatasetsRequest.Builder avoiding the need to create one manually via ListTrainingDatasetsRequest.builder()

Parameters:

listTrainingDatasetsRequest - A Consumer that will call methods on ListTrainingDatasetsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

putConfiguredAudienceModelPolicy

default PutConfiguredAudienceModelPolicyResponse putConfiguredAudienceModelPolicy(PutConfiguredAudienceModelPolicyRequest putConfiguredAudienceModelPolicyRequest)
                                                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Create or update the resource policy for a configured audience model.

Parameters:

putConfiguredAudienceModelPolicyRequest -

Returns:

Result of the PutConfiguredAudienceModelPolicy operation returned by the service.

See Also:

• AWS API Documentation

putConfiguredAudienceModelPolicy

default PutConfiguredAudienceModelPolicyResponse putConfiguredAudienceModelPolicy(Consumer<PutConfiguredAudienceModelPolicyRequest.Builder> putConfiguredAudienceModelPolicyRequest)
                                                                           throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Create or update the resource policy for a configured audience model.

This is a convenience which creates an instance of the PutConfiguredAudienceModelPolicyRequest.Builder avoiding the need to create one manually via PutConfiguredAudienceModelPolicyRequest.builder()

Parameters:

putConfiguredAudienceModelPolicyRequest - A Consumer that will call methods on PutConfiguredAudienceModelPolicyRequest.Builder to create a request.

Returns:

Result of the PutConfiguredAudienceModelPolicy operation returned by the service.

See Also:

• AWS API Documentation

putMLConfiguration

default PutMlConfigurationResponse putMLConfiguration(PutMlConfigurationRequest putMlConfigurationRequest)
                                               throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Assigns information about an ML configuration.

Parameters:

putMlConfigurationRequest -

Returns:

Result of the PutMLConfiguration operation returned by the service.

See Also:

• AWS API Documentation

putMLConfiguration

default PutMlConfigurationResponse putMLConfiguration(Consumer<PutMlConfigurationRequest.Builder> putMlConfigurationRequest)
                                               throws ValidationException,
AccessDeniedException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Assigns information about an ML configuration.

This is a convenience which creates an instance of the PutMlConfigurationRequest.Builder avoiding the need to create one manually via PutMlConfigurationRequest.builder()

Parameters:

putMlConfigurationRequest - A Consumer that will call methods on PutMlConfigurationRequest.Builder to create a request.

Returns:

Result of the PutMLConfiguration operation returned by the service.

See Also:

• AWS API Documentation

startAudienceExportJob

default StartAudienceExportJobResponse startAudienceExportJob(StartAudienceExportJobRequest startAudienceExportJobRequest)
                                                       throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Export an audience of a specified size after you have generated an audience.

Parameters:

startAudienceExportJobRequest -

Returns:

Result of the StartAudienceExportJob operation returned by the service.

See Also:

• AWS API Documentation

startAudienceExportJob

default StartAudienceExportJobResponse startAudienceExportJob(Consumer<StartAudienceExportJobRequest.Builder> startAudienceExportJobRequest)
                                                       throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Export an audience of a specified size after you have generated an audience.

This is a convenience which creates an instance of the StartAudienceExportJobRequest.Builder avoiding the need to create one manually via StartAudienceExportJobRequest.builder()

Parameters:

startAudienceExportJobRequest - A Consumer that will call methods on StartAudienceExportJobRequest.Builder to create a request.

Returns:

Result of the StartAudienceExportJob operation returned by the service.

See Also:

• AWS API Documentation

startAudienceGenerationJob

default StartAudienceGenerationJobResponse startAudienceGenerationJob(StartAudienceGenerationJobRequest startAudienceGenerationJobRequest)
                                                               throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Information necessary to start the audience generation job.

Parameters:

startAudienceGenerationJobRequest -

Returns:

Result of the StartAudienceGenerationJob operation returned by the service.

See Also:

• AWS API Documentation

startAudienceGenerationJob

default StartAudienceGenerationJobResponse startAudienceGenerationJob(Consumer<StartAudienceGenerationJobRequest.Builder> startAudienceGenerationJobRequest)
                                                               throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Information necessary to start the audience generation job.

This is a convenience which creates an instance of the StartAudienceGenerationJobRequest.Builder avoiding the need to create one manually via StartAudienceGenerationJobRequest.builder()

Parameters:

startAudienceGenerationJobRequest - A Consumer that will call methods on StartAudienceGenerationJobRequest.Builder to create a request.

Returns:

Result of the StartAudienceGenerationJob operation returned by the service.

See Also:

• AWS API Documentation

startTrainedModelExportJob

default StartTrainedModelExportJobResponse startTrainedModelExportJob(StartTrainedModelExportJobRequest startTrainedModelExportJobRequest)
                                                               throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Provides the information necessary to start a trained model export job.

Parameters:

startTrainedModelExportJobRequest -

Returns:

Result of the StartTrainedModelExportJob operation returned by the service.

See Also:

• AWS API Documentation

startTrainedModelExportJob

default StartTrainedModelExportJobResponse startTrainedModelExportJob(Consumer<StartTrainedModelExportJobRequest.Builder> startTrainedModelExportJobRequest)
                                                               throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Provides the information necessary to start a trained model export job.

This is a convenience which creates an instance of the StartTrainedModelExportJobRequest.Builder avoiding the need to create one manually via StartTrainedModelExportJobRequest.builder()

Parameters:

startTrainedModelExportJobRequest - A Consumer that will call methods on StartTrainedModelExportJobRequest.Builder to create a request.

Returns:

Result of the StartTrainedModelExportJob operation returned by the service.

See Also:

• AWS API Documentation

startTrainedModelInferenceJob

default StartTrainedModelInferenceJobResponse startTrainedModelInferenceJob(StartTrainedModelInferenceJobRequest startTrainedModelInferenceJobRequest)
                                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Defines the information necessary to begin a trained model inference job.

Parameters:

startTrainedModelInferenceJobRequest -

Returns:

Result of the StartTrainedModelInferenceJob operation returned by the service.

See Also:

• AWS API Documentation

startTrainedModelInferenceJob

default StartTrainedModelInferenceJobResponse startTrainedModelInferenceJob(Consumer<StartTrainedModelInferenceJobRequest.Builder> startTrainedModelInferenceJobRequest)
                                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
ThrottlingException,
ServiceQuotaExceededException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Defines the information necessary to begin a trained model inference job.

This is a convenience which creates an instance of the StartTrainedModelInferenceJobRequest.Builder avoiding the need to create one manually via StartTrainedModelInferenceJobRequest.builder()

Parameters:

startTrainedModelInferenceJobRequest - A Consumer that will call methods on StartTrainedModelInferenceJobRequest.Builder to create a request.

Returns:

Result of the StartTrainedModelInferenceJob operation returned by the service.

See Also:

• AWS API Documentation

tagResource

default TagResourceResponse tagResource(TagResourceRequest tagResourceRequest)
                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Adds metadata tags to a specified resource.

Parameters:

tagResourceRequest -

Returns:

Result of the TagResource operation returned by the service.

See Also:

• AWS API Documentation

tagResource

default TagResourceResponse tagResource(Consumer<TagResourceRequest.Builder> tagResourceRequest)
                                 throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Adds metadata tags to a specified resource.

This is a convenience which creates an instance of the TagResourceRequest.Builder avoiding the need to create one manually via TagResourceRequest.builder()

Parameters:

tagResourceRequest - A Consumer that will call methods on TagResourceRequest.Builder to create a request.

Returns:

Result of the TagResource operation returned by the service.

See Also:

• AWS API Documentation

untagResource

default UntagResourceResponse untagResource(UntagResourceRequest untagResourceRequest)
                                     throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Removes metadata tags from a specified resource.

Parameters:

untagResourceRequest -

Returns:

Result of the UntagResource operation returned by the service.

See Also:

• AWS API Documentation

untagResource

default UntagResourceResponse untagResource(Consumer<UntagResourceRequest.Builder> untagResourceRequest)
                                     throws ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Removes metadata tags from a specified resource.

This is a convenience which creates an instance of the UntagResourceRequest.Builder avoiding the need to create one manually via UntagResourceRequest.builder()

Parameters:

untagResourceRequest - A Consumer that will call methods on UntagResourceRequest.Builder to create a request.

Returns:

Result of the UntagResource operation returned by the service.

See Also:

• AWS API Documentation

updateConfiguredAudienceModel

default UpdateConfiguredAudienceModelResponse updateConfiguredAudienceModel(UpdateConfiguredAudienceModelRequest updateConfiguredAudienceModelRequest)
                                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Provides the information necessary to update a configured audience model. Updates that impact audience generation jobs take effect when a new job starts, but do not impact currently running jobs.

Parameters:

updateConfiguredAudienceModelRequest -

Returns:

Result of the UpdateConfiguredAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

updateConfiguredAudienceModel

default UpdateConfiguredAudienceModelResponse updateConfiguredAudienceModel(Consumer<UpdateConfiguredAudienceModelRequest.Builder> updateConfiguredAudienceModelRequest)
                                                                     throws ConflictException,
ValidationException,
AccessDeniedException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
CleanRoomsMlException

Provides the information necessary to update a configured audience model. Updates that impact audience generation jobs take effect when a new job starts, but do not impact currently running jobs.

This is a convenience which creates an instance of the UpdateConfiguredAudienceModelRequest.Builder avoiding the need to create one manually via UpdateConfiguredAudienceModelRequest.builder()

Parameters:

updateConfiguredAudienceModelRequest - A Consumer that will call methods on UpdateConfiguredAudienceModelRequest.Builder to create a request.

Returns:

Result of the UpdateConfiguredAudienceModel operation returned by the service.

See Also:

• AWS API Documentation

create

static CleanRoomsMlClient create()

Create a CleanRoomsMlClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.

builder

static CleanRoomsMlClientBuilder builder()

Create a builder that can be used to configure and create a CleanRoomsMlClient.

serviceMetadata

static ServiceMetadata serviceMetadata()

serviceClientConfiguration

default CleanRoomsMlServiceClientConfiguration serviceClientConfiguration()

Description copied from interface: SdkClient

The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration

Specified by:

serviceClientConfiguration in interface AwsClient

Specified by:

serviceClientConfiguration in interface SdkClient

Returns:

SdkServiceClientConfiguration