Uses of Class
software.amazon.awssdk.services.personalize.model.TooManyTagsException

Packages that use TooManyTagsException

Package	Description
software.amazon.awssdk.services.personalize	Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.

Uses of TooManyTagsException in software.amazon.awssdk.services.personalize

Methods in software.amazon.awssdk.services.personalize that throw TooManyTagsException

Modifier and Type	Method	Description
default CreateBatchInferenceJobResponse	PersonalizeClient.createBatchInferenceJob(Consumer<CreateBatchInferenceJobRequest.Builder> createBatchInferenceJobRequest)	Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.
default CreateBatchInferenceJobResponse	PersonalizeClient.createBatchInferenceJob(CreateBatchInferenceJobRequest createBatchInferenceJobRequest)	Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.
default CreateBatchSegmentJobResponse	PersonalizeClient.createBatchSegmentJob(Consumer<CreateBatchSegmentJobRequest.Builder> createBatchSegmentJobRequest)	Creates a batch segment job.
default CreateBatchSegmentJobResponse	PersonalizeClient.createBatchSegmentJob(CreateBatchSegmentJobRequest createBatchSegmentJobRequest)	Creates a batch segment job.
default CreateCampaignResponse	PersonalizeClient.createCampaign(Consumer<CreateCampaignRequest.Builder> createCampaignRequest)	Creates a campaign that deploys a solution version.
default CreateCampaignResponse	PersonalizeClient.createCampaign(CreateCampaignRequest createCampaignRequest)	Creates a campaign that deploys a solution version.
default CreateDatasetResponse	PersonalizeClient.createDataset(Consumer<CreateDatasetRequest.Builder> createDatasetRequest)	Creates an empty dataset and adds it to the specified dataset group.
default CreateDatasetResponse	PersonalizeClient.createDataset(CreateDatasetRequest createDatasetRequest)	Creates an empty dataset and adds it to the specified dataset group.
default CreateDatasetExportJobResponse	PersonalizeClient.createDatasetExportJob(Consumer<CreateDatasetExportJobRequest.Builder> createDatasetExportJobRequest)	Creates a job that exports data from your dataset to an Amazon S3 bucket.
default CreateDatasetExportJobResponse	PersonalizeClient.createDatasetExportJob(CreateDatasetExportJobRequest createDatasetExportJobRequest)	Creates a job that exports data from your dataset to an Amazon S3 bucket.
default CreateDatasetGroupResponse	PersonalizeClient.createDatasetGroup(Consumer<CreateDatasetGroupRequest.Builder> createDatasetGroupRequest)	Creates an empty dataset group.
default CreateDatasetGroupResponse	PersonalizeClient.createDatasetGroup(CreateDatasetGroupRequest createDatasetGroupRequest)	Creates an empty dataset group.
default CreateDatasetImportJobResponse	PersonalizeClient.createDatasetImportJob(Consumer<CreateDatasetImportJobRequest.Builder> createDatasetImportJobRequest)	Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset.
default CreateDatasetImportJobResponse	PersonalizeClient.createDatasetImportJob(CreateDatasetImportJobRequest createDatasetImportJobRequest)	Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset.
default CreateEventTrackerResponse	PersonalizeClient.createEventTracker(Consumer<CreateEventTrackerRequest.Builder> createEventTrackerRequest)	Creates an event tracker that you use when adding event data to a specified dataset group using the PutEvents API.
default CreateEventTrackerResponse	PersonalizeClient.createEventTracker(CreateEventTrackerRequest createEventTrackerRequest)	Creates an event tracker that you use when adding event data to a specified dataset group using the PutEvents API.
default CreateFilterResponse	PersonalizeClient.createFilter(Consumer<CreateFilterRequest.Builder> createFilterRequest)	Creates a recommendation filter.
default CreateFilterResponse	PersonalizeClient.createFilter(CreateFilterRequest createFilterRequest)	Creates a recommendation filter.
default CreateRecommenderResponse	PersonalizeClient.createRecommender(Consumer<CreateRecommenderRequest.Builder> createRecommenderRequest)	Creates a recommender with the recipe (a Domain dataset group use case) you specify.
default CreateRecommenderResponse	PersonalizeClient.createRecommender(CreateRecommenderRequest createRecommenderRequest)	Creates a recommender with the recipe (a Domain dataset group use case) you specify.
default CreateSolutionResponse	PersonalizeClient.createSolution(Consumer<CreateSolutionRequest.Builder> createSolutionRequest)	Creates the configuration for training a model.
default CreateSolutionResponse	PersonalizeClient.createSolution(CreateSolutionRequest createSolutionRequest)	Creates the configuration for training a model.
default CreateSolutionVersionResponse	PersonalizeClient.createSolutionVersion(Consumer<CreateSolutionVersionRequest.Builder> createSolutionVersionRequest)	Trains or retrains an active solution in a Custom dataset group.
default CreateSolutionVersionResponse	PersonalizeClient.createSolutionVersion(CreateSolutionVersionRequest createSolutionVersionRequest)	Trains or retrains an active solution in a Custom dataset group.
default TagResourceResponse	PersonalizeClient.tagResource(Consumer<TagResourceRequest.Builder> tagResourceRequest)	Add a list of tags to a resource.
default TagResourceResponse	PersonalizeClient.tagResource(TagResourceRequest tagResourceRequest)	Add a list of tags to a resource.