AmazonPersonalizeAsyncClient (AWS SDK for Java

java.lang.Object
- com.amazonaws.AmazonWebServiceClient
- - com.amazonaws.services.personalize.AmazonPersonalizeClient
  - - com.amazonaws.services.personalize.AmazonPersonalizeAsyncClient

All Implemented Interfaces:

AmazonPersonalize, AmazonPersonalizeAsync
```
@ThreadSafe
 @Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class AmazonPersonalizeAsyncClient
extends AmazonPersonalizeClient
implements AmazonPersonalizeAsync
```
Client for accessing Amazon Personalize asynchronously. Each asynchronous method will return a Java Future object representing the asynchronous operation; overloads which accept an AsyncHandler can be used to receive notification when an asynchronous operation completes.

Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.

Field Summary
- Fields inherited from class com.amazonaws.AmazonWebServiceClient
  LOGGING_AWS_REQUEST_METRIC
- Fields inherited from interface com.amazonaws.services.personalize.AmazonPersonalize
  ENDPOINT_PREFIX

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`static AmazonPersonalizeAsyncClientBuilder`	`asyncBuilder()`
`Future<CreateBatchInferenceJobResult>`	`createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request)` Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.
`Future<CreateBatchInferenceJobResult>`	`createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request, AsyncHandler<CreateBatchInferenceJobRequest,CreateBatchInferenceJobResult> asyncHandler)` Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.
`Future<CreateBatchSegmentJobResult>`	`createBatchSegmentJobAsync(CreateBatchSegmentJobRequest request)` Creates a batch segment job.
`Future<CreateBatchSegmentJobResult>`	`createBatchSegmentJobAsync(CreateBatchSegmentJobRequest request, AsyncHandler<CreateBatchSegmentJobRequest,CreateBatchSegmentJobResult> asyncHandler)` Creates a batch segment job.
`Future<CreateCampaignResult>`	`createCampaignAsync(CreateCampaignRequest request)`
`Future<CreateCampaignResult>`	`createCampaignAsync(CreateCampaignRequest request, AsyncHandler<CreateCampaignRequest,CreateCampaignResult> asyncHandler)`
`Future<CreateDataDeletionJobResult>`	`createDataDeletionJobAsync(CreateDataDeletionJobRequest request)` Creates a batch job that deletes all references to specific users from an Amazon Personalize dataset group in batches.
`Future<CreateDataDeletionJobResult>`	`createDataDeletionJobAsync(CreateDataDeletionJobRequest request, AsyncHandler<CreateDataDeletionJobRequest,CreateDataDeletionJobResult> asyncHandler)` Creates a batch job that deletes all references to specific users from an Amazon Personalize dataset group in batches.
`Future<CreateDatasetResult>`	`createDatasetAsync(CreateDatasetRequest request)` Creates an empty dataset and adds it to the specified dataset group.
`Future<CreateDatasetResult>`	`createDatasetAsync(CreateDatasetRequest request, AsyncHandler<CreateDatasetRequest,CreateDatasetResult> asyncHandler)` Creates an empty dataset and adds it to the specified dataset group.
`Future<CreateDatasetExportJobResult>`	`createDatasetExportJobAsync(CreateDatasetExportJobRequest request)` Creates a job that exports data from your dataset to an Amazon S3 bucket.
`Future<CreateDatasetExportJobResult>`	`createDatasetExportJobAsync(CreateDatasetExportJobRequest request, AsyncHandler<CreateDatasetExportJobRequest,CreateDatasetExportJobResult> asyncHandler)` Creates a job that exports data from your dataset to an Amazon S3 bucket.
`Future<CreateDatasetGroupResult>`	`createDatasetGroupAsync(CreateDatasetGroupRequest request)` Creates an empty dataset group.
`Future<CreateDatasetGroupResult>`	`createDatasetGroupAsync(CreateDatasetGroupRequest request, AsyncHandler<CreateDatasetGroupRequest,CreateDatasetGroupResult> asyncHandler)` Creates an empty dataset group.
`Future<CreateDatasetImportJobResult>`	`createDatasetImportJobAsync(CreateDatasetImportJobRequest request)` Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset.
`Future<CreateDatasetImportJobResult>`	`createDatasetImportJobAsync(CreateDatasetImportJobRequest request, AsyncHandler<CreateDatasetImportJobRequest,CreateDatasetImportJobResult> asyncHandler)` Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset.
`Future<CreateEventTrackerResult>`	`createEventTrackerAsync(CreateEventTrackerRequest request)` Creates an event tracker that you use when adding event data to a specified dataset group using the PutEvents API.
`Future<CreateEventTrackerResult>`	`createEventTrackerAsync(CreateEventTrackerRequest request, AsyncHandler<CreateEventTrackerRequest,CreateEventTrackerResult> asyncHandler)` Creates an event tracker that you use when adding event data to a specified dataset group using the PutEvents API.
`Future<CreateFilterResult>`	`createFilterAsync(CreateFilterRequest request)` Creates a recommendation filter.
`Future<CreateFilterResult>`	`createFilterAsync(CreateFilterRequest request, AsyncHandler<CreateFilterRequest,CreateFilterResult> asyncHandler)` Creates a recommendation filter.
`Future<CreateMetricAttributionResult>`	`createMetricAttributionAsync(CreateMetricAttributionRequest request)` Creates a metric attribution.
`Future<CreateMetricAttributionResult>`	`createMetricAttributionAsync(CreateMetricAttributionRequest request, AsyncHandler<CreateMetricAttributionRequest,CreateMetricAttributionResult> asyncHandler)` Creates a metric attribution.
`Future<CreateRecommenderResult>`	`createRecommenderAsync(CreateRecommenderRequest request)` Creates a recommender with the recipe (a Domain dataset group use case) you specify.
`Future<CreateRecommenderResult>`	`createRecommenderAsync(CreateRecommenderRequest request, AsyncHandler<CreateRecommenderRequest,CreateRecommenderResult> asyncHandler)` Creates a recommender with the recipe (a Domain dataset group use case) you specify.
`Future<CreateSchemaResult>`	`createSchemaAsync(CreateSchemaRequest request)` Creates an Amazon Personalize schema from the specified schema string.
`Future<CreateSchemaResult>`	`createSchemaAsync(CreateSchemaRequest request, AsyncHandler<CreateSchemaRequest,CreateSchemaResult> asyncHandler)` Creates an Amazon Personalize schema from the specified schema string.
`Future<CreateSolutionResult>`	`createSolutionAsync(CreateSolutionRequest request)`
`Future<CreateSolutionResult>`	`createSolutionAsync(CreateSolutionRequest request, AsyncHandler<CreateSolutionRequest,CreateSolutionResult> asyncHandler)`
`Future<CreateSolutionVersionResult>`	`createSolutionVersionAsync(CreateSolutionVersionRequest request)` Trains or retrains an active solution in a Custom dataset group.
`Future<CreateSolutionVersionResult>`	`createSolutionVersionAsync(CreateSolutionVersionRequest request, AsyncHandler<CreateSolutionVersionRequest,CreateSolutionVersionResult> asyncHandler)` Trains or retrains an active solution in a Custom dataset group.
`Future<DeleteCampaignResult>`	`deleteCampaignAsync(DeleteCampaignRequest request)` Removes a campaign by deleting the solution deployment.
`Future<DeleteCampaignResult>`	`deleteCampaignAsync(DeleteCampaignRequest request, AsyncHandler<DeleteCampaignRequest,DeleteCampaignResult> asyncHandler)` Removes a campaign by deleting the solution deployment.
`Future<DeleteDatasetResult>`	`deleteDatasetAsync(DeleteDatasetRequest request)` Deletes a dataset.
`Future<DeleteDatasetResult>`	`deleteDatasetAsync(DeleteDatasetRequest request, AsyncHandler<DeleteDatasetRequest,DeleteDatasetResult> asyncHandler)` Deletes a dataset.
`Future<DeleteDatasetGroupResult>`	`deleteDatasetGroupAsync(DeleteDatasetGroupRequest request)` Deletes a dataset group.
`Future<DeleteDatasetGroupResult>`	`deleteDatasetGroupAsync(DeleteDatasetGroupRequest request, AsyncHandler<DeleteDatasetGroupRequest,DeleteDatasetGroupResult> asyncHandler)` Deletes a dataset group.
`Future<DeleteEventTrackerResult>`	`deleteEventTrackerAsync(DeleteEventTrackerRequest request)` Deletes the event tracker.
`Future<DeleteEventTrackerResult>`	`deleteEventTrackerAsync(DeleteEventTrackerRequest request, AsyncHandler<DeleteEventTrackerRequest,DeleteEventTrackerResult> asyncHandler)` Deletes the event tracker.
`Future<DeleteFilterResult>`	`deleteFilterAsync(DeleteFilterRequest request)` Deletes a filter.
`Future<DeleteFilterResult>`	`deleteFilterAsync(DeleteFilterRequest request, AsyncHandler<DeleteFilterRequest,DeleteFilterResult> asyncHandler)` Deletes a filter.
`Future<DeleteMetricAttributionResult>`	`deleteMetricAttributionAsync(DeleteMetricAttributionRequest request)` Deletes a metric attribution.
`Future<DeleteMetricAttributionResult>`	`deleteMetricAttributionAsync(DeleteMetricAttributionRequest request, AsyncHandler<DeleteMetricAttributionRequest,DeleteMetricAttributionResult> asyncHandler)` Deletes a metric attribution.
`Future<DeleteRecommenderResult>`	`deleteRecommenderAsync(DeleteRecommenderRequest request)` Deactivates and removes a recommender.
`Future<DeleteRecommenderResult>`	`deleteRecommenderAsync(DeleteRecommenderRequest request, AsyncHandler<DeleteRecommenderRequest,DeleteRecommenderResult> asyncHandler)` Deactivates and removes a recommender.
`Future<DeleteSchemaResult>`	`deleteSchemaAsync(DeleteSchemaRequest request)` Deletes a schema.
`Future<DeleteSchemaResult>`	`deleteSchemaAsync(DeleteSchemaRequest request, AsyncHandler<DeleteSchemaRequest,DeleteSchemaResult> asyncHandler)` Deletes a schema.
`Future<DeleteSolutionResult>`	`deleteSolutionAsync(DeleteSolutionRequest request)` Deletes all versions of a solution and the `Solution` object itself.
`Future<DeleteSolutionResult>`	`deleteSolutionAsync(DeleteSolutionRequest request, AsyncHandler<DeleteSolutionRequest,DeleteSolutionResult> asyncHandler)` Deletes all versions of a solution and the `Solution` object itself.
`Future<DescribeAlgorithmResult>`	`describeAlgorithmAsync(DescribeAlgorithmRequest request)` Describes the given algorithm.
`Future<DescribeAlgorithmResult>`	`describeAlgorithmAsync(DescribeAlgorithmRequest request, AsyncHandler<DescribeAlgorithmRequest,DescribeAlgorithmResult> asyncHandler)` Describes the given algorithm.
`Future<DescribeBatchInferenceJobResult>`	`describeBatchInferenceJobAsync(DescribeBatchInferenceJobRequest request)` Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate the recommendations.
`Future<DescribeBatchInferenceJobResult>`	`describeBatchInferenceJobAsync(DescribeBatchInferenceJobRequest request, AsyncHandler<DescribeBatchInferenceJobRequest,DescribeBatchInferenceJobResult> asyncHandler)` Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate the recommendations.
`Future<DescribeBatchSegmentJobResult>`	`describeBatchSegmentJobAsync(DescribeBatchSegmentJobRequest request)` Gets the properties of a batch segment job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate segments.
`Future<DescribeBatchSegmentJobResult>`	`describeBatchSegmentJobAsync(DescribeBatchSegmentJobRequest request, AsyncHandler<DescribeBatchSegmentJobRequest,DescribeBatchSegmentJobResult> asyncHandler)` Gets the properties of a batch segment job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate segments.
`Future<DescribeCampaignResult>`	`describeCampaignAsync(DescribeCampaignRequest request)` Describes the given campaign, including its status.
`Future<DescribeCampaignResult>`	`describeCampaignAsync(DescribeCampaignRequest request, AsyncHandler<DescribeCampaignRequest,DescribeCampaignResult> asyncHandler)` Describes the given campaign, including its status.
`Future<DescribeDataDeletionJobResult>`	`describeDataDeletionJobAsync(DescribeDataDeletionJobRequest request)` Describes the data deletion job created by CreateDataDeletionJob, including the job status.
`Future<DescribeDataDeletionJobResult>`	`describeDataDeletionJobAsync(DescribeDataDeletionJobRequest request, AsyncHandler<DescribeDataDeletionJobRequest,DescribeDataDeletionJobResult> asyncHandler)` Describes the data deletion job created by CreateDataDeletionJob, including the job status.
`Future<DescribeDatasetResult>`	`describeDatasetAsync(DescribeDatasetRequest request)` Describes the given dataset.
`Future<DescribeDatasetResult>`	`describeDatasetAsync(DescribeDatasetRequest request, AsyncHandler<DescribeDatasetRequest,DescribeDatasetResult> asyncHandler)` Describes the given dataset.
`Future<DescribeDatasetExportJobResult>`	`describeDatasetExportJobAsync(DescribeDatasetExportJobRequest request)` Describes the dataset export job created by CreateDatasetExportJob, including the export job status.
`Future<DescribeDatasetExportJobResult>`	`describeDatasetExportJobAsync(DescribeDatasetExportJobRequest request, AsyncHandler<DescribeDatasetExportJobRequest,DescribeDatasetExportJobResult> asyncHandler)` Describes the dataset export job created by CreateDatasetExportJob, including the export job status.
`Future<DescribeDatasetGroupResult>`	`describeDatasetGroupAsync(DescribeDatasetGroupRequest request)` Describes the given dataset group.
`Future<DescribeDatasetGroupResult>`	`describeDatasetGroupAsync(DescribeDatasetGroupRequest request, AsyncHandler<DescribeDatasetGroupRequest,DescribeDatasetGroupResult> asyncHandler)` Describes the given dataset group.
`Future<DescribeDatasetImportJobResult>`	`describeDatasetImportJobAsync(DescribeDatasetImportJobRequest request)` Describes the dataset import job created by CreateDatasetImportJob, including the import job status.
`Future<DescribeDatasetImportJobResult>`	`describeDatasetImportJobAsync(DescribeDatasetImportJobRequest request, AsyncHandler<DescribeDatasetImportJobRequest,DescribeDatasetImportJobResult> asyncHandler)` Describes the dataset import job created by CreateDatasetImportJob, including the import job status.
`Future<DescribeEventTrackerResult>`	`describeEventTrackerAsync(DescribeEventTrackerRequest request)` Describes an event tracker.
`Future<DescribeEventTrackerResult>`	`describeEventTrackerAsync(DescribeEventTrackerRequest request, AsyncHandler<DescribeEventTrackerRequest,DescribeEventTrackerResult> asyncHandler)` Describes an event tracker.
`Future<DescribeFeatureTransformationResult>`	`describeFeatureTransformationAsync(DescribeFeatureTransformationRequest request)` Describes the given feature transformation.
`Future<DescribeFeatureTransformationResult>`	`describeFeatureTransformationAsync(DescribeFeatureTransformationRequest request, AsyncHandler<DescribeFeatureTransformationRequest,DescribeFeatureTransformationResult> asyncHandler)` Describes the given feature transformation.
`Future<DescribeFilterResult>`	`describeFilterAsync(DescribeFilterRequest request)` Describes a filter's properties.
`Future<DescribeFilterResult>`	`describeFilterAsync(DescribeFilterRequest request, AsyncHandler<DescribeFilterRequest,DescribeFilterResult> asyncHandler)` Describes a filter's properties.
`Future<DescribeMetricAttributionResult>`	`describeMetricAttributionAsync(DescribeMetricAttributionRequest request)` Describes a metric attribution.
`Future<DescribeMetricAttributionResult>`	`describeMetricAttributionAsync(DescribeMetricAttributionRequest request, AsyncHandler<DescribeMetricAttributionRequest,DescribeMetricAttributionResult> asyncHandler)` Describes a metric attribution.
`Future<DescribeRecipeResult>`	`describeRecipeAsync(DescribeRecipeRequest request)` Describes a recipe.
`Future<DescribeRecipeResult>`	`describeRecipeAsync(DescribeRecipeRequest request, AsyncHandler<DescribeRecipeRequest,DescribeRecipeResult> asyncHandler)` Describes a recipe.
`Future<DescribeRecommenderResult>`	`describeRecommenderAsync(DescribeRecommenderRequest request)` Describes the given recommender, including its status.
`Future<DescribeRecommenderResult>`	`describeRecommenderAsync(DescribeRecommenderRequest request, AsyncHandler<DescribeRecommenderRequest,DescribeRecommenderResult> asyncHandler)` Describes the given recommender, including its status.
`Future<DescribeSchemaResult>`	`describeSchemaAsync(DescribeSchemaRequest request)` Describes a schema.
`Future<DescribeSchemaResult>`	`describeSchemaAsync(DescribeSchemaRequest request, AsyncHandler<DescribeSchemaRequest,DescribeSchemaResult> asyncHandler)` Describes a schema.
`Future<DescribeSolutionResult>`	`describeSolutionAsync(DescribeSolutionRequest request)` Describes a solution.
`Future<DescribeSolutionResult>`	`describeSolutionAsync(DescribeSolutionRequest request, AsyncHandler<DescribeSolutionRequest,DescribeSolutionResult> asyncHandler)` Describes a solution.
`Future<DescribeSolutionVersionResult>`	`describeSolutionVersionAsync(DescribeSolutionVersionRequest request)` Describes a specific version of a solution.
`Future<DescribeSolutionVersionResult>`	`describeSolutionVersionAsync(DescribeSolutionVersionRequest request, AsyncHandler<DescribeSolutionVersionRequest,DescribeSolutionVersionResult> asyncHandler)` Describes a specific version of a solution.
`ExecutorService`	`getExecutorService()` Returns the executor service used by this client to execute async requests.
`Future<GetSolutionMetricsResult>`	`getSolutionMetricsAsync(GetSolutionMetricsRequest request)` Gets the metrics for the specified solution version.
`Future<GetSolutionMetricsResult>`	`getSolutionMetricsAsync(GetSolutionMetricsRequest request, AsyncHandler<GetSolutionMetricsRequest,GetSolutionMetricsResult> asyncHandler)` Gets the metrics for the specified solution version.
`Future<ListBatchInferenceJobsResult>`	`listBatchInferenceJobsAsync(ListBatchInferenceJobsRequest request)` Gets a list of the batch inference jobs that have been performed off of a solution version.
`Future<ListBatchInferenceJobsResult>`	`listBatchInferenceJobsAsync(ListBatchInferenceJobsRequest request, AsyncHandler<ListBatchInferenceJobsRequest,ListBatchInferenceJobsResult> asyncHandler)` Gets a list of the batch inference jobs that have been performed off of a solution version.
`Future<ListBatchSegmentJobsResult>`	`listBatchSegmentJobsAsync(ListBatchSegmentJobsRequest request)` Gets a list of the batch segment jobs that have been performed off of a solution version that you specify.
`Future<ListBatchSegmentJobsResult>`	`listBatchSegmentJobsAsync(ListBatchSegmentJobsRequest request, AsyncHandler<ListBatchSegmentJobsRequest,ListBatchSegmentJobsResult> asyncHandler)` Gets a list of the batch segment jobs that have been performed off of a solution version that you specify.
`Future<ListCampaignsResult>`	`listCampaignsAsync(ListCampaignsRequest request)` Returns a list of campaigns that use the given solution.
`Future<ListCampaignsResult>`	`listCampaignsAsync(ListCampaignsRequest request, AsyncHandler<ListCampaignsRequest,ListCampaignsResult> asyncHandler)` Returns a list of campaigns that use the given solution.
`Future<ListDataDeletionJobsResult>`	`listDataDeletionJobsAsync(ListDataDeletionJobsRequest request)` Returns a list of data deletion jobs for a dataset group ordered by creation time, with the most recent first.
`Future<ListDataDeletionJobsResult>`	`listDataDeletionJobsAsync(ListDataDeletionJobsRequest request, AsyncHandler<ListDataDeletionJobsRequest,ListDataDeletionJobsResult> asyncHandler)` Returns a list of data deletion jobs for a dataset group ordered by creation time, with the most recent first.
`Future<ListDatasetExportJobsResult>`	`listDatasetExportJobsAsync(ListDatasetExportJobsRequest request)` Returns a list of dataset export jobs that use the given dataset.
`Future<ListDatasetExportJobsResult>`	`listDatasetExportJobsAsync(ListDatasetExportJobsRequest request, AsyncHandler<ListDatasetExportJobsRequest,ListDatasetExportJobsResult> asyncHandler)` Returns a list of dataset export jobs that use the given dataset.
`Future<ListDatasetGroupsResult>`	`listDatasetGroupsAsync(ListDatasetGroupsRequest request)` Returns a list of dataset groups.
`Future<ListDatasetGroupsResult>`	`listDatasetGroupsAsync(ListDatasetGroupsRequest request, AsyncHandler<ListDatasetGroupsRequest,ListDatasetGroupsResult> asyncHandler)` Returns a list of dataset groups.
`Future<ListDatasetImportJobsResult>`	`listDatasetImportJobsAsync(ListDatasetImportJobsRequest request)` Returns a list of dataset import jobs that use the given dataset.
`Future<ListDatasetImportJobsResult>`	`listDatasetImportJobsAsync(ListDatasetImportJobsRequest request, AsyncHandler<ListDatasetImportJobsRequest,ListDatasetImportJobsResult> asyncHandler)` Returns a list of dataset import jobs that use the given dataset.
`Future<ListDatasetsResult>`	`listDatasetsAsync(ListDatasetsRequest request)` Returns the list of datasets contained in the given dataset group.
`Future<ListDatasetsResult>`	`listDatasetsAsync(ListDatasetsRequest request, AsyncHandler<ListDatasetsRequest,ListDatasetsResult> asyncHandler)` Returns the list of datasets contained in the given dataset group.
`Future<ListEventTrackersResult>`	`listEventTrackersAsync(ListEventTrackersRequest request)` Returns the list of event trackers associated with the account.
`Future<ListEventTrackersResult>`	`listEventTrackersAsync(ListEventTrackersRequest request, AsyncHandler<ListEventTrackersRequest,ListEventTrackersResult> asyncHandler)` Returns the list of event trackers associated with the account.
`Future<ListFiltersResult>`	`listFiltersAsync(ListFiltersRequest request)` Lists all filters that belong to a given dataset group.
`Future<ListFiltersResult>`	`listFiltersAsync(ListFiltersRequest request, AsyncHandler<ListFiltersRequest,ListFiltersResult> asyncHandler)` Lists all filters that belong to a given dataset group.
`Future<ListMetricAttributionMetricsResult>`	`listMetricAttributionMetricsAsync(ListMetricAttributionMetricsRequest request)` Lists the metrics for the metric attribution.
`Future<ListMetricAttributionMetricsResult>`	`listMetricAttributionMetricsAsync(ListMetricAttributionMetricsRequest request, AsyncHandler<ListMetricAttributionMetricsRequest,ListMetricAttributionMetricsResult> asyncHandler)` Lists the metrics for the metric attribution.
`Future<ListMetricAttributionsResult>`	`listMetricAttributionsAsync(ListMetricAttributionsRequest request)` Lists metric attributions.
`Future<ListMetricAttributionsResult>`	`listMetricAttributionsAsync(ListMetricAttributionsRequest request, AsyncHandler<ListMetricAttributionsRequest,ListMetricAttributionsResult> asyncHandler)` Lists metric attributions.
`Future<ListRecipesResult>`	`listRecipesAsync(ListRecipesRequest request)` Returns a list of available recipes.
`Future<ListRecipesResult>`	`listRecipesAsync(ListRecipesRequest request, AsyncHandler<ListRecipesRequest,ListRecipesResult> asyncHandler)` Returns a list of available recipes.
`Future<ListRecommendersResult>`	`listRecommendersAsync(ListRecommendersRequest request)` Returns a list of recommenders in a given Domain dataset group.
`Future<ListRecommendersResult>`	`listRecommendersAsync(ListRecommendersRequest request, AsyncHandler<ListRecommendersRequest,ListRecommendersResult> asyncHandler)` Returns a list of recommenders in a given Domain dataset group.
`Future<ListSchemasResult>`	`listSchemasAsync(ListSchemasRequest request)` Returns the list of schemas associated with the account.
`Future<ListSchemasResult>`	`listSchemasAsync(ListSchemasRequest request, AsyncHandler<ListSchemasRequest,ListSchemasResult> asyncHandler)` Returns the list of schemas associated with the account.
`Future<ListSolutionsResult>`	`listSolutionsAsync(ListSolutionsRequest request)` Returns a list of solutions in a given dataset group.
`Future<ListSolutionsResult>`	`listSolutionsAsync(ListSolutionsRequest request, AsyncHandler<ListSolutionsRequest,ListSolutionsResult> asyncHandler)` Returns a list of solutions in a given dataset group.
`Future<ListSolutionVersionsResult>`	`listSolutionVersionsAsync(ListSolutionVersionsRequest request)` Returns a list of solution versions for the given solution.
`Future<ListSolutionVersionsResult>`	`listSolutionVersionsAsync(ListSolutionVersionsRequest request, AsyncHandler<ListSolutionVersionsRequest,ListSolutionVersionsResult> asyncHandler)` Returns a list of solution versions for the given solution.
`Future<ListTagsForResourceResult>`	`listTagsForResourceAsync(ListTagsForResourceRequest request)` Get a list of tags attached to a resource.
`Future<ListTagsForResourceResult>`	`listTagsForResourceAsync(ListTagsForResourceRequest request, AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)` Get a list of tags attached to a resource.
`void`	`shutdown()` Shuts down the client, releasing all managed resources.
`Future<StartRecommenderResult>`	`startRecommenderAsync(StartRecommenderRequest request)` Starts a recommender that is INACTIVE.
`Future<StartRecommenderResult>`	`startRecommenderAsync(StartRecommenderRequest request, AsyncHandler<StartRecommenderRequest,StartRecommenderResult> asyncHandler)` Starts a recommender that is INACTIVE.
`Future<StopRecommenderResult>`	`stopRecommenderAsync(StopRecommenderRequest request)` Stops a recommender that is ACTIVE.
`Future<StopRecommenderResult>`	`stopRecommenderAsync(StopRecommenderRequest request, AsyncHandler<StopRecommenderRequest,StopRecommenderResult> asyncHandler)` Stops a recommender that is ACTIVE.
`Future<StopSolutionVersionCreationResult>`	`stopSolutionVersionCreationAsync(StopSolutionVersionCreationRequest request)` Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS.
`Future<StopSolutionVersionCreationResult>`	`stopSolutionVersionCreationAsync(StopSolutionVersionCreationRequest request, AsyncHandler<StopSolutionVersionCreationRequest,StopSolutionVersionCreationResult> asyncHandler)` Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS.
`Future<TagResourceResult>`	`tagResourceAsync(TagResourceRequest request)` Add a list of tags to a resource.
`Future<TagResourceResult>`	`tagResourceAsync(TagResourceRequest request, AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)` Add a list of tags to a resource.
`Future<UntagResourceResult>`	`untagResourceAsync(UntagResourceRequest request)` Removes the specified tags that are attached to a resource.
`Future<UntagResourceResult>`	`untagResourceAsync(UntagResourceRequest request, AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)` Removes the specified tags that are attached to a resource.
`Future<UpdateCampaignResult>`	`updateCampaignAsync(UpdateCampaignRequest request)` Updates a campaign to deploy a retrained solution version with an existing campaign, change your campaign's `minProvisionedTPS`, or modify your campaign's configuration.
`Future<UpdateCampaignResult>`	`updateCampaignAsync(UpdateCampaignRequest request, AsyncHandler<UpdateCampaignRequest,UpdateCampaignResult> asyncHandler)` Updates a campaign to deploy a retrained solution version with an existing campaign, change your campaign's `minProvisionedTPS`, or modify your campaign's configuration.
`Future<UpdateDatasetResult>`	`updateDatasetAsync(UpdateDatasetRequest request)` Update a dataset to replace its schema with a new or existing one.
`Future<UpdateDatasetResult>`	`updateDatasetAsync(UpdateDatasetRequest request, AsyncHandler<UpdateDatasetRequest,UpdateDatasetResult> asyncHandler)` Update a dataset to replace its schema with a new or existing one.
`Future<UpdateMetricAttributionResult>`	`updateMetricAttributionAsync(UpdateMetricAttributionRequest request)` Updates a metric attribution.
`Future<UpdateMetricAttributionResult>`	`updateMetricAttributionAsync(UpdateMetricAttributionRequest request, AsyncHandler<UpdateMetricAttributionRequest,UpdateMetricAttributionResult> asyncHandler)` Updates a metric attribution.
`Future<UpdateRecommenderResult>`	`updateRecommenderAsync(UpdateRecommenderRequest request)` Updates the recommender to modify the recommender configuration.
`Future<UpdateRecommenderResult>`	`updateRecommenderAsync(UpdateRecommenderRequest request, AsyncHandler<UpdateRecommenderRequest,UpdateRecommenderResult> asyncHandler)` Updates the recommender to modify the recommender configuration.

Methods inherited from class com.amazonaws.services.personalize.AmazonPersonalizeClient
builder, createBatchInferenceJob, createBatchSegmentJob, createCampaign, createDataDeletionJob, createDataset, createDatasetExportJob, createDatasetGroup, createDatasetImportJob, createEventTracker, createFilter, createMetricAttribution, createRecommender, createSchema, createSolution, createSolutionVersion, deleteCampaign, deleteDataset, deleteDatasetGroup, deleteEventTracker, deleteFilter, deleteMetricAttribution, deleteRecommender, deleteSchema, deleteSolution, describeAlgorithm, describeBatchInferenceJob, describeBatchSegmentJob, describeCampaign, describeDataDeletionJob, describeDataset, describeDatasetExportJob, describeDatasetGroup, describeDatasetImportJob, describeEventTracker, describeFeatureTransformation, describeFilter, describeMetricAttribution, describeRecipe, describeRecommender, describeSchema, describeSolution, describeSolutionVersion, getCachedResponseMetadata, getSolutionMetrics, listBatchInferenceJobs, listBatchSegmentJobs, listCampaigns, listDataDeletionJobs, listDatasetExportJobs, listDatasetGroups, listDatasetImportJobs, listDatasets, listEventTrackers, listFilters, listMetricAttributionMetrics, listMetricAttributions, listRecipes, listRecommenders, listSchemas, listSolutions, listSolutionVersions, listTagsForResource, startRecommender, stopRecommender, stopSolutionVersionCreation, tagResource, untagResource, updateCampaign, updateDataset, updateMetricAttribution, updateRecommender

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.amazonaws.services.personalize.AmazonPersonalize
createBatchInferenceJob, createBatchSegmentJob, createCampaign, createDataDeletionJob, createDataset, createDatasetExportJob, createDatasetGroup, createDatasetImportJob, createEventTracker, createFilter, createMetricAttribution, createRecommender, createSchema, createSolution, createSolutionVersion, deleteCampaign, deleteDataset, deleteDatasetGroup, deleteEventTracker, deleteFilter, deleteMetricAttribution, deleteRecommender, deleteSchema, deleteSolution, describeAlgorithm, describeBatchInferenceJob, describeBatchSegmentJob, describeCampaign, describeDataDeletionJob, describeDataset, describeDatasetExportJob, describeDatasetGroup, describeDatasetImportJob, describeEventTracker, describeFeatureTransformation, describeFilter, describeMetricAttribution, describeRecipe, describeRecommender, describeSchema, describeSolution, describeSolutionVersion, getCachedResponseMetadata, getSolutionMetrics, listBatchInferenceJobs, listBatchSegmentJobs, listCampaigns, listDataDeletionJobs, listDatasetExportJobs, listDatasetGroups, listDatasetImportJobs, listDatasets, listEventTrackers, listFilters, listMetricAttributionMetrics, listMetricAttributions, listRecipes, listRecommenders, listSchemas, listSolutions, listSolutionVersions, listTagsForResource, startRecommender, stopRecommender, stopSolutionVersionCreation, tagResource, untagResource, updateCampaign, updateDataset, updateMetricAttribution, updateRecommender

- Method Detail
  - asyncBuilder
```
public static AmazonPersonalizeAsyncClientBuilder asyncBuilder()
```
  - getExecutorService
```
public ExecutorService getExecutorService()
```
    Returns the executor service used by this client to execute async requests.
    
    Returns:
    
    The executor service used by this client to execute async requests.
  - createBatchInferenceJobAsync
```
public Future<CreateBatchInferenceJobResult> createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request)
```
    Description copied from interface: AmazonPersonalizeAsync
    
    Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.
    
    To generate batch recommendations, specify the ARN of a solution version and an Amazon S3 URI for the input and output data. For user personalization, popular items, and personalized ranking solutions, the batch inference job generates a list of recommended items for each user ID in the input file. For related items solutions, the job generates a list of recommended items for each item ID in the input file.
    
    For more information, see Creating a batch inference job .
    
    If you use the Similar-Items recipe, Amazon Personalize can add descriptive themes to batch recommendations. To generate themes, set the job's mode to THEME_GENERATION and specify the name of the field that contains item names in the input data.
    
    For more information about generating themes, see Batch recommendations with themes from Content Generator .
    
    You can't get batch recommendations with the Trending-Now or Next-Best-Action recipes.
    
    Specified by:
    
    createBatchInferenceJobAsync in interface AmazonPersonalizeAsync
    
    Returns:
    
    A Java Future containing the result of the CreateBatchInferenceJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createBatchInferenceJobAsync
```
public Future<CreateBatchInferenceJobResult> createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request,
                                                                          AsyncHandler<CreateBatchInferenceJobRequest,CreateBatchInferenceJobResult> asyncHandler)
```
    Description copied from interface: AmazonPersonalizeAsync
    
    Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.
    
    To generate batch recommendations, specify the ARN of a solution version and an Amazon S3 URI for the input and output data. For user personalization, popular items, and personalized ranking solutions, the batch inference job generates a list of recommended items for each user ID in the input file. For related items solutions, the job generates a list of recommended items for each item ID in the input file.
    
    For more information, see Creating a batch inference job .
    
    If you use the Similar-Items recipe, Amazon Personalize can add descriptive themes to batch recommendations. To generate themes, set the job's mode to THEME_GENERATION and specify the name of the field that contains item names in the input data.
    
    For more information about generating themes, see Batch recommendations with themes from Content Generator .
    
    You can't get batch recommendations with the Trending-Now or Next-Best-Action recipes.
    
    Specified by:
    
    createBatchInferenceJobAsync in interface AmazonPersonalizeAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateBatchInferenceJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createBatchSegmentJobAsync
```
public Future<CreateBatchSegmentJobResult> createBatchSegmentJobAsync(CreateBatchSegmentJobRequest request)
```
    Description copied from interface: AmazonPersonalizeAsync
    
    Creates a batch segment job. The operation can handle up to 50 million records and the input file must be in JSON format. For more information, see Getting batch recommendations and user segments.
    
    Specified by:
    
    createBatchSegmentJobAsync in interface AmazonPersonalizeAsync
    
    Returns:
    
    A Java Future containing the result of the CreateBatchSegmentJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createBatchSegmentJobAsync
```
public Future<CreateBatchSegmentJobResult> createBatchSegmentJobAsync(CreateBatchSegmentJobRequest request,
                                                                      AsyncHandler<CreateBatchSegmentJobRequest,CreateBatchSegmentJobResult> asyncHandler)
```
    Description copied from interface: AmazonPersonalizeAsync
    
    Creates a batch segment job. The operation can handle up to 50 million records and the input file must be in JSON format. For more information, see Getting batch recommendations and user segments.
    
    Specified by:
    
    createBatchSegmentJobAsync in interface AmazonPersonalizeAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateBatchSegmentJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createCampaignAsync
```
public Future<CreateCampaignResult> createCampaignAsync(CreateCampaignRequest request)
```
    Description copied from interface: AmazonPersonalizeAsync
    You incur campaign costs while it is active. To avoid unnecessary costs, make sure to delete the campaign when you are finished. For information about campaign costs, see Amazon Personalize pricing.
    
    Creates a campaign that deploys a solution version. When a client calls the GetRecommendations and GetPersonalizedRanking APIs, a campaign is specified in the request.
    
    Minimum Provisioned TPS and Auto-Scaling
    
    A high minProvisionedTPS will increase your cost. We recommend starting with 1 for minProvisionedTPS (the default). Track your usage using Amazon CloudWatch metrics, and increase the minProvisionedTPS as necessary.
    
    When you create an Amazon Personalize campaign, you can specify the minimum provisioned transactions per second ( minProvisionedTPS) for the campaign. This is the baseline transaction throughput for the campaign provisioned by Amazon Personalize. It sets the minimum billing charge for the campaign while it is active. A transaction is a single GetRecommendations or GetPersonalizedRanking request. The default minProvisionedTPS is 1.
    
    If your TPS increases beyond the minProvisionedTPS, Amazon Personalize auto-scales the provisioned capacity up and down, but never below minProvisionedTPS. There's a short time delay while the capacity is increased that might cause loss of transactions. When your traffic reduces, capacity returns to the minProvisionedTPS.
    
    You are charged for the the minimum provisioned TPS or, if your requests exceed the minProvisionedTPS, the actual TPS. The actual TPS is the total number of recommendation requests you make. We recommend starting with a low minProvisionedTPS, track your usage using Amazon CloudWatch metrics, and then increase the minProvisionedTPS as necessary.
    
    For more information about campaign costs, see Amazon Personalize pricing.
    
    Status
    
    A campaign can be in one of the following states:
    - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
    - DELETE PENDING > DELETE IN_PROGRESS
    To get the campaign status, call DescribeCampaign.
    
    Wait until the status of the campaign is ACTIVE before asking the campaign for recommendations.
    
    Related APIs
    Specified by:
    
    createCampaignAsync in interface AmazonPersonalizeAsync
    
    Returns:
    
    A Java Future containing the result of the CreateCampaign operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createCampaignAsync
```
public Future<CreateCampaignResult> createCampaignAsync(CreateCampaignRequest request,
                                                        AsyncHandler<CreateCampaignRequest,CreateCampaignResult> asyncHandler)
```
    Description copied from interface: AmazonPersonalizeAsync
    You incur campaign costs while it is active. To avoid unnecessary costs, make sure to delete the campaign when you are finished. For information about campaign costs, see Amazon Personalize pricing.
    
    Creates a campaign that deploys a solution version. When a client calls the GetRecommendations and GetPersonalizedRanking APIs, a campaign is specified in the request.
    
    Minimum Provisioned TPS and Auto-Scaling
    
    A high minProvisionedTPS will increase your cost. We recommend starting with 1 for minProvisionedTPS (the default). Track your usage using Amazon CloudWatch metrics, and increase the minProvisionedTPS as necessary.
    
    When you create an Amazon Personalize campaign, you can specify the minimum provisioned transactions per second ( minProvisionedTPS) for the campaign. This is the baseline transaction throughput for the campaign provisioned by Amazon Personalize. It sets the minimum billing charge for the campaign while it is active. A transaction is a single GetRecommendations or GetPersonalizedRanking request. The default minProvisionedTPS is 1.
    
    If your TPS increases beyond the minProvisionedTPS, Amazon Personalize auto-scales the provisioned capacity up and down, but never below minProvisionedTPS. There's a short time delay while the capacity is increased that might cause loss of transactions. When your traffic reduces, capacity returns to the minProvisionedTPS.
    
    You are charged for the the minimum provisioned TPS or, if your requests exceed the minProvisionedTPS, the actual TPS. The actual TPS is the total number of recommendation requests you make. We recommend starting with a low minProvisionedTPS, track your usage using Amazon CloudWatch metrics, and then increase the minProvisionedTPS as necessary.
    
    For more information about campaign costs, see Amazon Personalize pricing.
    
    Status
    
    A campaign can be in one of the following states:
    - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
    - DELETE PENDING > DELETE IN_PROGRESS
    To get the campaign status, call DescribeCampaign.
    
    Wait until the status of the campaign is ACTIVE before asking the campaign for recommendations.
    
    Related APIs
    Specified by:
    
    createCampaignAsync in interface AmazonPersonalizeAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateCampaign operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDataDeletionJobAsync
```
public Future<CreateDataDeletionJobResult> createDataDeletionJobAsync(CreateDataDeletionJobRequest request)
```
    Description copied from interface: AmazonPersonalizeAsync
    Creates a batch job that deletes all references to specific users from an Amazon Personalize dataset group in batches. You specify the users to delete in a CSV file of userIds in an Amazon S3 bucket. After a job completes, Amazon Personalize no longer trains on the users’ data and no longer considers the users when generating user segments. For more information about creating a data deletion job, see Deleting users.
    - Your input file must be a CSV file with a single USER_ID column that lists the users IDs. For more information about preparing the CSV file, see Preparing your data deletion file and uploading it to Amazon S3.
    - To give Amazon Personalize permission to access your input CSV file of userIds, you must specify an IAM service role that has permission to read from the data source. This role needs GetObject and ListBucket permissions for the bucket and its content. These permissions are the same as importing data. For information on granting access to your Amazon S3 bucket, see Giving Amazon Personalize Access to Amazon S3 Resources.
    After you create a job, it can take up to a day to delete all references to the users from datasets and models. Until the job completes, Amazon Personalize continues to use the data when training. And if you use a User Segmentation recipe, the users might appear in user segments.
    
    Status
    
    A data deletion job can have one of the following statuses:
    - PENDING > IN_PROGRESS > COMPLETED -or- FAILED
    To get the status of the data deletion job, call DescribeDataDeletionJob API operation and specify the Amazon Resource Name (ARN) of the job. If the status is FAILED, the response includes a failureReason key, which describes why the job failed.
    
    Related APIs
    - ListDataDeletionJobs
    - DescribeDataDeletionJob
    Specified by:
    
    createDataDeletionJobAsync in interface AmazonPersonalizeAsync
    
    Returns:
    
    A Java Future containing the result of the CreateDataDeletionJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDataDeletionJobAsync
```
public Future<CreateDataDeletionJobResult> createDataDeletionJobAsync(CreateDataDeletionJobRequest request,
                                                                      AsyncHandler<CreateDataDeletionJobRequest,CreateDataDeletionJobResult> asyncHandler)
```
    Description copied from interface: AmazonPersonalizeAsync
    Creates a batch job that deletes all references to specific users from an Amazon Personalize dataset group in batches. You specify the users to delete in a CSV file of userIds in an Amazon S3 bucket. After a job completes, Amazon Personalize no longer trains on the users’ data and no longer considers the users when generating user segments. For more information about creating a data deletion job, see Deleting users.
    - Your input file must be a CSV file with a single USER_ID column that lists the users IDs. For more information about preparing the CSV file, see Preparing your data deletion file and uploading it to Amazon S3.
    - To give Amazon Personalize permission to access your input CSV file of userIds, you must specify an IAM service role that has permission to read from the data source. This role needs GetObject and ListBucket permissions for the bucket and its content. These permissions are the same as importing data. For information on granting access to your Amazon S3 bucket, see Giving Amazon Personalize Access to Amazon S3 Resources.
    After you create a job, it can take up to a day to delete all references to the users from datasets and models. Until the job completes, Amazon Personalize continues to use the data when training. And if you use a User Segmentation recipe, the users might appear in user segments.
    
    Status
    
    A data deletion job can have one of the following statuses:
    - PENDING > IN_PROGRESS > COMPLETED -or- FAILED
    To get the status of the data deletion job, call DescribeDataDeletionJob API operation and specify the Amazon Resource Name (ARN) of the job. If the status is FAILED, the response includes a failureReason key, which describes why the job failed.
    
    Related APIs
    - ListDataDeletionJobs
    - DescribeDataDeletionJob
    Specified by:
    
    createDataDeletionJobAsync in interface AmazonPersonalizeAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateDataDeletionJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDatasetAsync
```
public Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest request)
```
    Description copied from interface: AmazonPersonalizeAsync
    Creates an empty dataset and adds it to the specified dataset group. Use CreateDatasetImportJob to import your training data to a dataset.
    
    There are 5 types of datasets:
    - Item interactions
    - Items
    - Users
    - Action interactions
    - Actions
    Each dataset type has an associated schema with required field types. Only the Item interactions dataset is required in order to train a model (also referred to as creating a solution).
    
    A dataset can be in one of the following states:
    - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
    - DELETE PENDING > DELETE IN_PROGRESS
    To get the status of the dataset, call DescribeDataset.
    
    Related APIs
    Specified by:
    
    createDatasetAsync in interface AmazonPersonalizeAsync
    
    Returns:
    
    A Java Future containing the result of the CreateDataset operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDatasetAsync
```
public Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest request,
                                                      AsyncHandler<CreateDatasetRequest,CreateDatasetResult> asyncHandler)
```
    Description copied from interface: AmazonPersonalizeAsync
    Creates an empty dataset and adds it to the specified dataset group. Use CreateDatasetImportJob to import your training data to a dataset.
    
    There are 5 types of datasets:
    - Item interactions
    - Items
    - Users
    - Action interactions
    - Actions
    Each dataset type has an associated schema with required field types. Only the Item interactions dataset is required in order to train a model (also referred to as creating a solution).
    
    A dataset can be in one of the following states:
    - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
    - DELETE PENDING > DELETE IN_PROGRESS
    To get the status of the dataset, call DescribeDataset.
    
    Related APIs
    Specified by:
    
    createDatasetAsync in interface AmazonPersonalizeAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateDataset operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDatasetExportJobAsync
```
public Future<CreateDatasetExportJobResult> createDatasetExportJobAsync(CreateDatasetExportJobRequest request)
```
    Description copied from interface: AmazonPersonalizeAsync
    Creates a job that exports data from your dataset to an Amazon S3 bucket. To allow Amazon Personalize to export the training data, you must specify an service-linked IAM role that gives Amazon Personalize PutObject permissions for your Amazon S3 bucket. For information, see Exporting a dataset in the Amazon Personalize developer guide.
    
    Status
    
    A dataset export job can be in one of the following states:
    - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
    To get the status of the export job, call DescribeDatasetExportJob, and specify the Amazon Resource Name (ARN) of the dataset export job. The dataset export is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.
    Specified by:
    
    createDatasetExportJobAsync in interface AmazonPersonalizeAsync
    
    Returns:
    
    A Java Future containing the result of the CreateDatasetExportJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDatasetExportJobAsync
```
public Future<CreateDatasetExportJobResult> createDatasetExportJobAsync(CreateDatasetExportJobRequest request,
                                                                        AsyncHandler<CreateDatasetExportJobRequest,CreateDatasetExportJobResult> asyncHandler)
```
    Description copied from interface: AmazonPersonalizeAsync
    Creates a job that exports data from your dataset to an Amazon S3 bucket. To allow Amazon Personalize to export the training data, you must specify an service-linked IAM role that gives Amazon Personalize PutObject permissions for your Amazon S3 bucket. For information, see Exporting a dataset in the Amazon Personalize developer guide.
    
    Status
    
    A dataset export job can be in one of the following states:
    - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
    To get the status of the export job, call DescribeDatasetExportJob, and specify the Amazon Resource Name (ARN) of the dataset export job. The dataset export is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.
    Specified by:
    
    createDatasetExportJobAsync in interface AmazonPersonalizeAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateDatasetExportJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDatasetGroupAsync
```
public Future<CreateDatasetGroupResult> createDatasetGroupAsync(CreateDatasetGroupRequest request)
```
    Description copied from interface: AmazonPersonalizeAsync
    Creates an empty dataset group. A dataset group is a container for Amazon Personalize resources. A dataset group can contain at most three datasets, one for each type of dataset:
    - Item interactions
    - Items
    - Users
    - Actions
    - Action interactions
    A dataset group can be a Domain dataset group, where you specify a domain and use pre-configured resources like recommenders, or a Custom dataset group, where you use custom resources, such as a solution with a solution version, that you deploy with a campaign. If you start with a Domain dataset group, you can still add custom resources such as solutions and solution versions trained with recipes for custom use cases and deployed with campaigns.
    
    A dataset group can be in one of the following states:
    - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
    - DELETE PENDING
    To get the status of the dataset group, call DescribeDatasetGroup. If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the creation failed.
    
    You must wait until the status of the dataset group is ACTIVE before adding a dataset to the group.
    
    You can specify an Key Management Service (KMS) key to encrypt the datasets in the group. If you specify a KMS key, you must also include an Identity and Access Management (IAM) role that has permission to access the key.
    
    APIs that require a dataset group ARN in the request
    Related APIs
    Specified by:
    
    createDatasetGroupAsync in interface AmazonPersonalizeAsync
    
    Returns:
    
    A Java Future containing the result of the CreateDatasetGroup operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDatasetGroupAsync
```
public Future<CreateDatasetGroupResult> createDatasetGroupAsync(CreateDatasetGroupRequest request,
                                                                AsyncHandler<CreateDatasetGroupRequest,CreateDatasetGroupResult> asyncHandler)
```
    Description copied from interface: AmazonPersonalizeAsync
    Creates an empty dataset group. A dataset group is a container for Amazon Personalize resources. A dataset group can contain at most three datasets, one for each type of dataset:
    - Item interactions
    - Items
    - Users
    - Actions
    - Action interactions
    A dataset group can be a Domain dataset group, where you specify a domain and use pre-configured resources like recommenders, or a Custom dataset group, where you use custom resources, such as a solution with a solution version, that you deploy with a campaign. If you start with a Domain dataset group, you can still add custom resources such as solutions and solution versions trained with recipes for custom use cases and deployed with campaigns.
    
    A dataset group can be in one of the following states:
    - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
    - DELETE PENDING
    To get the status of the dataset group, call DescribeDatasetGroup. If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the creation failed.
    
    You must wait until the status of the dataset group is ACTIVE before adding a dataset to the group.
    
    You can specify an Key Management Service (KMS) key to encrypt the datasets in the group. If you specify a KMS key, you must also include an Identity and Access Management (IAM) role that has permission to access the key.
    
    APIs that require a dataset group ARN in the request
    Related APIs
    Specified by:
    
    createDatasetGroupAsync in interface AmazonPersonalizeAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateDatasetGroup operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createDatasetImportJobAsync
```
public Future<CreateDatasetImportJobResult> createDatasetImportJobAsync(CreateDatasetImportJobRequest request)
```
    Description copied from interface: AmazonPersonalizeAsync
    
    Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to ACTIVE -or- CREATE FAILED
  To get the status of the import job, call DescribeDatasetImportJob, providing the Amazon Resource Name (ARN) of the dataset import job. The dataset import is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.
  
  Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.
  
  Related APIs
  - ListDatasetImportJobs
  - DescribeDatasetImportJob

Specified by:: createDatasetImportJobAsync in interface AmazonPersonalizeAsync
Returns:: A Java Future containing the result of the CreateDatasetImportJob operation returned by the service.
See Also:: AWS API Documentation

createDatasetImportJobAsync
```
public Future<CreateDatasetImportJobResult> createDatasetImportJobAsync(CreateDatasetImportJobRequest request,
                                                                        AsyncHandler<CreateDatasetImportJobRequest,CreateDatasetImportJobResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to import the training data, you must specify an IAM service role that has permission to read from the data source, as Amazon Personalize makes a copy of your data and processes it internally. For information on granting access to your Amazon S3 bucket, see Giving Amazon Personalize Access to Amazon S3 Resources.

If you already created a recommender or deployed a custom solution version with a campaign, how new bulk records influence recommendations depends on the domain use case or recipe that you use. For more information, see How new data influences real-time recommendations.

By default, a dataset import job replaces any existing data in the dataset that you imported in bulk. To add new records without replacing existing data, specify INCREMENTAL for the import mode in the CreateDatasetImportJob operation.

Status

A dataset import job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
To get the status of the import job, call DescribeDatasetImportJob, providing the Amazon Resource Name (ARN) of the dataset import job. The dataset import is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.

Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.

Related APIs
- ListDatasetImportJobs
- DescribeDatasetImportJob
Specified by:

createDatasetImportJobAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the CreateDatasetImportJob operation returned by the service.

See Also:

AWS API Documentation

createEventTrackerAsync
```
public Future<CreateEventTrackerResult> createEventTrackerAsync(CreateEventTrackerRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Creates an event tracker that you use when adding event data to a specified dataset group using the PutEvents API.

Only one event tracker can be associated with a dataset group. You will get an error if you call CreateEventTracker using the same dataset group as an existing event tracker.

When you create an event tracker, the response includes a tracking ID, which you pass as a parameter when you use the PutEvents operation. Amazon Personalize then appends the event data to the Item interactions dataset of the dataset group you specify in your event tracker.

The event tracker can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
To get the status of the event tracker, call DescribeEventTracker.

The event tracker must be in the ACTIVE state before using the tracking ID.

Related APIs
Specified by:

createEventTrackerAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the CreateEventTracker operation returned by the service.

See Also:

AWS API Documentation

createEventTrackerAsync
```
public Future<CreateEventTrackerResult> createEventTrackerAsync(CreateEventTrackerRequest request,
                                                                AsyncHandler<CreateEventTrackerRequest,CreateEventTrackerResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Creates an event tracker that you use when adding event data to a specified dataset group using the PutEvents API.

Only one event tracker can be associated with a dataset group. You will get an error if you call CreateEventTracker using the same dataset group as an existing event tracker.

When you create an event tracker, the response includes a tracking ID, which you pass as a parameter when you use the PutEvents operation. Amazon Personalize then appends the event data to the Item interactions dataset of the dataset group you specify in your event tracker.

The event tracker can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
To get the status of the event tracker, call DescribeEventTracker.

The event tracker must be in the ACTIVE state before using the tracking ID.

Related APIs
Specified by:

createEventTrackerAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the CreateEventTracker operation returned by the service.

See Also:

AWS API Documentation

createFilterAsync
```
public Future<CreateFilterResult> createFilterAsync(CreateFilterRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Creates a recommendation filter. For more information, see Filtering recommendations and user segments.

Specified by:

createFilterAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the CreateFilter operation returned by the service.

See Also:

AWS API Documentation

createFilterAsync
```
public Future<CreateFilterResult> createFilterAsync(CreateFilterRequest request,
                                                    AsyncHandler<CreateFilterRequest,CreateFilterResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Creates a recommendation filter. For more information, see Filtering recommendations and user segments.

Specified by:

createFilterAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the CreateFilter operation returned by the service.

See Also:

AWS API Documentation

createMetricAttributionAsync
```
public Future<CreateMetricAttributionResult> createMetricAttributionAsync(CreateMetricAttributionRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Creates a metric attribution. A metric attribution creates reports on the data that you import into Amazon Personalize. Depending on how you imported the data, you can view reports in Amazon CloudWatch or Amazon S3. For more information, see Measuring impact of recommendations.

Specified by:

createMetricAttributionAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the CreateMetricAttribution operation returned by the service.

See Also:

AWS API Documentation

createMetricAttributionAsync
```
public Future<CreateMetricAttributionResult> createMetricAttributionAsync(CreateMetricAttributionRequest request,
                                                                          AsyncHandler<CreateMetricAttributionRequest,CreateMetricAttributionResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Creates a metric attribution. A metric attribution creates reports on the data that you import into Amazon Personalize. Depending on how you imported the data, you can view reports in Amazon CloudWatch or Amazon S3. For more information, see Measuring impact of recommendations.

Specified by:

createMetricAttributionAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the CreateMetricAttribution operation returned by the service.

See Also:

AWS API Documentation

createRecommenderAsync
```
public Future<CreateRecommenderResult> createRecommenderAsync(CreateRecommenderRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Creates a recommender with the recipe (a Domain dataset group use case) you specify. You create recommenders for a Domain dataset group and specify the recommender's Amazon Resource Name (ARN) when you make a GetRecommendations request.

Minimum recommendation requests per second

A high minRecommendationRequestsPerSecond will increase your bill. We recommend starting with 1 for minRecommendationRequestsPerSecond (the default). Track your usage using Amazon CloudWatch metrics, and increase the minRecommendationRequestsPerSecond as necessary.

When you create a recommender, you can configure the recommender's minimum recommendation requests per second. The minimum recommendation requests per second (minRecommendationRequestsPerSecond) specifies the baseline recommendation request throughput provisioned by Amazon Personalize. The default minRecommendationRequestsPerSecond is 1. A recommendation request is a single GetRecommendations operation. Request throughput is measured in requests per second and Amazon Personalize uses your requests per second to derive your requests per hour and the price of your recommender usage.

If your requests per second increases beyond minRecommendationRequestsPerSecond, Amazon Personalize auto-scales the provisioned capacity up and down, but never below minRecommendationRequestsPerSecond . There's a short time delay while the capacity is increased that might cause loss of requests.

Your bill is the greater of either the minimum requests per hour (based on minRecommendationRequestsPerSecond) or the actual number of requests. The actual request throughput used is calculated as the average requests/second within a one-hour window. We recommend starting with the default minRecommendationRequestsPerSecond, track your usage using Amazon CloudWatch metrics, and then increase the minRecommendationRequestsPerSecond as necessary.

Status

A recommender can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS
To get the recommender status, call DescribeRecommender.

Wait until the status of the recommender is ACTIVE before asking the recommender for recommendations.

Related APIs
Specified by:

createRecommenderAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the CreateRecommender operation returned by the service.

See Also:

AWS API Documentation

createRecommenderAsync
```
public Future<CreateRecommenderResult> createRecommenderAsync(CreateRecommenderRequest request,
                                                              AsyncHandler<CreateRecommenderRequest,CreateRecommenderResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Creates a recommender with the recipe (a Domain dataset group use case) you specify. You create recommenders for a Domain dataset group and specify the recommender's Amazon Resource Name (ARN) when you make a GetRecommendations request.

Minimum recommendation requests per second

A high minRecommendationRequestsPerSecond will increase your bill. We recommend starting with 1 for minRecommendationRequestsPerSecond (the default). Track your usage using Amazon CloudWatch metrics, and increase the minRecommendationRequestsPerSecond as necessary.

When you create a recommender, you can configure the recommender's minimum recommendation requests per second. The minimum recommendation requests per second (minRecommendationRequestsPerSecond) specifies the baseline recommendation request throughput provisioned by Amazon Personalize. The default minRecommendationRequestsPerSecond is 1. A recommendation request is a single GetRecommendations operation. Request throughput is measured in requests per second and Amazon Personalize uses your requests per second to derive your requests per hour and the price of your recommender usage.

If your requests per second increases beyond minRecommendationRequestsPerSecond, Amazon Personalize auto-scales the provisioned capacity up and down, but never below minRecommendationRequestsPerSecond . There's a short time delay while the capacity is increased that might cause loss of requests.

Your bill is the greater of either the minimum requests per hour (based on minRecommendationRequestsPerSecond) or the actual number of requests. The actual request throughput used is calculated as the average requests/second within a one-hour window. We recommend starting with the default minRecommendationRequestsPerSecond, track your usage using Amazon CloudWatch metrics, and then increase the minRecommendationRequestsPerSecond as necessary.

Status

A recommender can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS
To get the recommender status, call DescribeRecommender.

Wait until the status of the recommender is ACTIVE before asking the recommender for recommendations.

Related APIs
Specified by:

createRecommenderAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the CreateRecommender operation returned by the service.

See Also:

AWS API Documentation

createSchemaAsync
```
public Future<CreateSchemaResult> createSchemaAsync(CreateSchemaRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Creates an Amazon Personalize schema from the specified schema string. The schema you create must be in Avro JSON format.

Amazon Personalize recognizes three schema variants. Each schema is associated with a dataset type and has a set of required field and keywords. If you are creating a schema for a dataset in a Domain dataset group, you provide the domain of the Domain dataset group. You specify a schema when you call CreateDataset.

Related APIs
Specified by:

createSchemaAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the CreateSchema operation returned by the service.

See Also:

AWS API Documentation

createSchemaAsync
```
public Future<CreateSchemaResult> createSchemaAsync(CreateSchemaRequest request,
                                                    AsyncHandler<CreateSchemaRequest,CreateSchemaResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Creates an Amazon Personalize schema from the specified schema string. The schema you create must be in Avro JSON format.

Amazon Personalize recognizes three schema variants. Each schema is associated with a dataset type and has a set of required field and keywords. If you are creating a schema for a dataset in a Domain dataset group, you provide the domain of the Domain dataset group. You specify a schema when you call CreateDataset.

Related APIs
Specified by:

createSchemaAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the CreateSchema operation returned by the service.

See Also:

AWS API Documentation

createSolutionAsync
```
public Future<CreateSolutionResult> createSolutionAsync(CreateSolutionRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
After you create a solution, you can’t change its configuration. By default, all new solutions use automatic training. With automatic training, you incur training costs while your solution is active. You can't stop automatic training for a solution. To avoid unnecessary costs, make sure to delete the solution when you are finished. For information about training costs, see Amazon Personalize pricing.

Creates the configuration for training a model (creating a solution version). This configuration includes the recipe to use for model training and optional training configuration, such as columns to use in training and feature transformation parameters. For more information about configuring a solution, see Creating and configuring a solution.

By default, new solutions use automatic training to create solution versions every 7 days. You can change the training frequency. Automatic solution version creation starts one hour after the solution is ACTIVE. If you manually create a solution version within the hour, the solution skips the first automatic training. For more information, see Configuring automatic training.

To turn off automatic training, set performAutoTraining to false. If you turn off automatic training, you must manually create a solution version by calling the CreateSolutionVersion operation.

After training starts, you can get the solution version's Amazon Resource Name (ARN) with the ListSolutionVersions API operation. To get its status, use the DescribeSolutionVersion.

After training completes you can evaluate model accuracy by calling GetSolutionMetrics. When you are satisfied with the solution version, you deploy it using CreateCampaign. The campaign provides recommendations to a client through the GetRecommendations API.

Amazon Personalize doesn't support configuring the hpoObjective for solution hyperparameter optimization at this time.

Status

A solution can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
To get the status of the solution, call DescribeSolution. If you use manual training, the status must be ACTIVE before you call CreateSolutionVersion.

Related APIs
- ListSolutionVersions
- DescribeSolutionVersion
Specified by:

createSolutionAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the CreateSolution operation returned by the service.

See Also:

AWS API Documentation

createSolutionAsync
```
public Future<CreateSolutionResult> createSolutionAsync(CreateSolutionRequest request,
                                                        AsyncHandler<CreateSolutionRequest,CreateSolutionResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
After you create a solution, you can’t change its configuration. By default, all new solutions use automatic training. With automatic training, you incur training costs while your solution is active. You can't stop automatic training for a solution. To avoid unnecessary costs, make sure to delete the solution when you are finished. For information about training costs, see Amazon Personalize pricing.

Creates the configuration for training a model (creating a solution version). This configuration includes the recipe to use for model training and optional training configuration, such as columns to use in training and feature transformation parameters. For more information about configuring a solution, see Creating and configuring a solution.

By default, new solutions use automatic training to create solution versions every 7 days. You can change the training frequency. Automatic solution version creation starts one hour after the solution is ACTIVE. If you manually create a solution version within the hour, the solution skips the first automatic training. For more information, see Configuring automatic training.

To turn off automatic training, set performAutoTraining to false. If you turn off automatic training, you must manually create a solution version by calling the CreateSolutionVersion operation.

After training starts, you can get the solution version's Amazon Resource Name (ARN) with the ListSolutionVersions API operation. To get its status, use the DescribeSolutionVersion.

After training completes you can evaluate model accuracy by calling GetSolutionMetrics. When you are satisfied with the solution version, you deploy it using CreateCampaign. The campaign provides recommendations to a client through the GetRecommendations API.

Amazon Personalize doesn't support configuring the hpoObjective for solution hyperparameter optimization at this time.

Status

A solution can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
To get the status of the solution, call DescribeSolution. If you use manual training, the status must be ACTIVE before you call CreateSolutionVersion.

Related APIs
- ListSolutionVersions
- DescribeSolutionVersion
Specified by:

createSolutionAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the CreateSolution operation returned by the service.

See Also:

AWS API Documentation

createSolutionVersionAsync
```
public Future<CreateSolutionVersionResult> createSolutionVersionAsync(CreateSolutionVersionRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Trains or retrains an active solution in a Custom dataset group. A solution is created using the CreateSolution operation and must be in the ACTIVE state before calling CreateSolutionVersion. A new version of the solution is created every time you call this operation.

Status

A solution version can be in one of the following states:
- CREATE PENDING
- CREATE IN_PROGRESS
- ACTIVE
- CREATE FAILED
- CREATE STOPPING
- CREATE STOPPED
To get the status of the version, call DescribeSolutionVersion. Wait until the status shows as ACTIVE before calling CreateCampaign.

If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.

Related APIs
Specified by:

createSolutionVersionAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the CreateSolutionVersion operation returned by the service.

See Also:

AWS API Documentation

createSolutionVersionAsync
```
public Future<CreateSolutionVersionResult> createSolutionVersionAsync(CreateSolutionVersionRequest request,
                                                                      AsyncHandler<CreateSolutionVersionRequest,CreateSolutionVersionResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Trains or retrains an active solution in a Custom dataset group. A solution is created using the CreateSolution operation and must be in the ACTIVE state before calling CreateSolutionVersion. A new version of the solution is created every time you call this operation.

Status

A solution version can be in one of the following states:
- CREATE PENDING
- CREATE IN_PROGRESS
- ACTIVE
- CREATE FAILED
- CREATE STOPPING
- CREATE STOPPED
To get the status of the version, call DescribeSolutionVersion. Wait until the status shows as ACTIVE before calling CreateCampaign.

If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.

Related APIs
Specified by:

createSolutionVersionAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the CreateSolutionVersion operation returned by the service.

See Also:

AWS API Documentation

deleteCampaignAsync
```
public Future<DeleteCampaignResult> deleteCampaignAsync(DeleteCampaignRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Removes a campaign by deleting the solution deployment. The solution that the campaign is based on is not deleted and can be redeployed when needed. A deleted campaign can no longer be specified in a GetRecommendations request. For information on creating campaigns, see CreateCampaign.

Specified by:

deleteCampaignAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DeleteCampaign operation returned by the service.

See Also:

AWS API Documentation

deleteCampaignAsync
```
public Future<DeleteCampaignResult> deleteCampaignAsync(DeleteCampaignRequest request,
                                                        AsyncHandler<DeleteCampaignRequest,DeleteCampaignResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Removes a campaign by deleting the solution deployment. The solution that the campaign is based on is not deleted and can be redeployed when needed. A deleted campaign can no longer be specified in a GetRecommendations request. For information on creating campaigns, see CreateCampaign.

Specified by:

deleteCampaignAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DeleteCampaign operation returned by the service.

See Also:

AWS API Documentation

deleteDatasetAsync
```
public Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes a dataset. You can't delete a dataset if an associated DatasetImportJob or SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For more information on datasets, see CreateDataset.

Specified by:

deleteDatasetAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DeleteDataset operation returned by the service.

See Also:

AWS API Documentation

deleteDatasetAsync
```
public Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest request,
                                                      AsyncHandler<DeleteDatasetRequest,DeleteDatasetResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes a dataset. You can't delete a dataset if an associated DatasetImportJob or SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For more information on datasets, see CreateDataset.

Specified by:

deleteDatasetAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DeleteDataset operation returned by the service.

See Also:

AWS API Documentation

deleteDatasetGroupAsync
```
public Future<DeleteDatasetGroupResult> deleteDatasetGroupAsync(DeleteDatasetGroupRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Deletes a dataset group. Before you delete a dataset group, you must delete the following:
- All associated event trackers.
- All associated solutions.
- All datasets in the dataset group.
Specified by:

deleteDatasetGroupAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DeleteDatasetGroup operation returned by the service.

See Also:

AWS API Documentation

deleteDatasetGroupAsync
```
public Future<DeleteDatasetGroupResult> deleteDatasetGroupAsync(DeleteDatasetGroupRequest request,
                                                                AsyncHandler<DeleteDatasetGroupRequest,DeleteDatasetGroupResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Deletes a dataset group. Before you delete a dataset group, you must delete the following:
- All associated event trackers.
- All associated solutions.
- All datasets in the dataset group.
Specified by:

deleteDatasetGroupAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DeleteDatasetGroup operation returned by the service.

See Also:

AWS API Documentation

deleteEventTrackerAsync
```
public Future<DeleteEventTrackerResult> deleteEventTrackerAsync(DeleteEventTrackerRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes the event tracker. Does not delete the dataset from the dataset group. For more information on event trackers, see CreateEventTracker.

Specified by:

deleteEventTrackerAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DeleteEventTracker operation returned by the service.

See Also:

AWS API Documentation

deleteEventTrackerAsync
```
public Future<DeleteEventTrackerResult> deleteEventTrackerAsync(DeleteEventTrackerRequest request,
                                                                AsyncHandler<DeleteEventTrackerRequest,DeleteEventTrackerResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes the event tracker. Does not delete the dataset from the dataset group. For more information on event trackers, see CreateEventTracker.

Specified by:

deleteEventTrackerAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DeleteEventTracker operation returned by the service.

See Also:

AWS API Documentation

deleteFilterAsync
```
public Future<DeleteFilterResult> deleteFilterAsync(DeleteFilterRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes a filter.

Specified by:

deleteFilterAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DeleteFilter operation returned by the service.

See Also:

AWS API Documentation

deleteFilterAsync
```
public Future<DeleteFilterResult> deleteFilterAsync(DeleteFilterRequest request,
                                                    AsyncHandler<DeleteFilterRequest,DeleteFilterResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes a filter.

Specified by:

deleteFilterAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DeleteFilter operation returned by the service.

See Also:

AWS API Documentation

deleteMetricAttributionAsync
```
public Future<DeleteMetricAttributionResult> deleteMetricAttributionAsync(DeleteMetricAttributionRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes a metric attribution.

Specified by:

deleteMetricAttributionAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DeleteMetricAttribution operation returned by the service.

See Also:

AWS API Documentation

deleteMetricAttributionAsync
```
public Future<DeleteMetricAttributionResult> deleteMetricAttributionAsync(DeleteMetricAttributionRequest request,
                                                                          AsyncHandler<DeleteMetricAttributionRequest,DeleteMetricAttributionResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes a metric attribution.

Specified by:

deleteMetricAttributionAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DeleteMetricAttribution operation returned by the service.

See Also:

AWS API Documentation

deleteRecommenderAsync
```
public Future<DeleteRecommenderResult> deleteRecommenderAsync(DeleteRecommenderRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Deactivates and removes a recommender. A deleted recommender can no longer be specified in a GetRecommendations request.

Specified by:

deleteRecommenderAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DeleteRecommender operation returned by the service.

See Also:

AWS API Documentation

deleteRecommenderAsync
```
public Future<DeleteRecommenderResult> deleteRecommenderAsync(DeleteRecommenderRequest request,
                                                              AsyncHandler<DeleteRecommenderRequest,DeleteRecommenderResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Deactivates and removes a recommender. A deleted recommender can no longer be specified in a GetRecommendations request.

Specified by:

deleteRecommenderAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DeleteRecommender operation returned by the service.

See Also:

AWS API Documentation

deleteSchemaAsync
```
public Future<DeleteSchemaResult> deleteSchemaAsync(DeleteSchemaRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes a schema. Before deleting a schema, you must delete all datasets referencing the schema. For more information on schemas, see CreateSchema.

Specified by:

deleteSchemaAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DeleteSchema operation returned by the service.

See Also:

AWS API Documentation

deleteSchemaAsync
```
public Future<DeleteSchemaResult> deleteSchemaAsync(DeleteSchemaRequest request,
                                                    AsyncHandler<DeleteSchemaRequest,DeleteSchemaResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes a schema. Before deleting a schema, you must delete all datasets referencing the schema. For more information on schemas, see CreateSchema.

Specified by:

deleteSchemaAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DeleteSchema operation returned by the service.

See Also:

AWS API Documentation

deleteSolutionAsync
```
public Future<DeleteSolutionResult> deleteSolutionAsync(DeleteSolutionRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes all versions of a solution and the Solution object itself. Before deleting a solution, you must delete all campaigns based on the solution. To determine what campaigns are using the solution, call ListCampaigns and supply the Amazon Resource Name (ARN) of the solution. You can't delete a solution if an associated SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For more information on solutions, see CreateSolution.

Specified by:

deleteSolutionAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DeleteSolution operation returned by the service.

See Also:

AWS API Documentation

deleteSolutionAsync
```
public Future<DeleteSolutionResult> deleteSolutionAsync(DeleteSolutionRequest request,
                                                        AsyncHandler<DeleteSolutionRequest,DeleteSolutionResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Deletes all versions of a solution and the Solution object itself. Before deleting a solution, you must delete all campaigns based on the solution. To determine what campaigns are using the solution, call ListCampaigns and supply the Amazon Resource Name (ARN) of the solution. You can't delete a solution if an associated SolutionVersion is in the CREATE PENDING or IN PROGRESS state. For more information on solutions, see CreateSolution.

Specified by:

deleteSolutionAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DeleteSolution operation returned by the service.

See Also:

AWS API Documentation

describeAlgorithmAsync
```
public Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the given algorithm.

Specified by:

describeAlgorithmAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeAlgorithm operation returned by the service.

See Also:

AWS API Documentation

describeAlgorithmAsync
```
public Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest request,
                                                              AsyncHandler<DescribeAlgorithmRequest,DescribeAlgorithmResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the given algorithm.

Specified by:

describeAlgorithmAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeAlgorithm operation returned by the service.

See Also:

AWS API Documentation

describeBatchInferenceJobAsync
```
public Future<DescribeBatchInferenceJobResult> describeBatchInferenceJobAsync(DescribeBatchInferenceJobRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate the recommendations.

Specified by:

describeBatchInferenceJobAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeBatchInferenceJob operation returned by the service.

See Also:

AWS API Documentation

describeBatchInferenceJobAsync
```
public Future<DescribeBatchInferenceJobResult> describeBatchInferenceJobAsync(DescribeBatchInferenceJobRequest request,
                                                                              AsyncHandler<DescribeBatchInferenceJobRequest,DescribeBatchInferenceJobResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate the recommendations.

Specified by:

describeBatchInferenceJobAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeBatchInferenceJob operation returned by the service.

See Also:

AWS API Documentation

describeBatchSegmentJobAsync
```
public Future<DescribeBatchSegmentJobResult> describeBatchSegmentJobAsync(DescribeBatchSegmentJobRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Gets the properties of a batch segment job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate segments.

Specified by:

describeBatchSegmentJobAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeBatchSegmentJob operation returned by the service.

See Also:

AWS API Documentation

describeBatchSegmentJobAsync
```
public Future<DescribeBatchSegmentJobResult> describeBatchSegmentJobAsync(DescribeBatchSegmentJobRequest request,
                                                                          AsyncHandler<DescribeBatchSegmentJobRequest,DescribeBatchSegmentJobResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Gets the properties of a batch segment job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate segments.

Specified by:

describeBatchSegmentJobAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeBatchSegmentJob operation returned by the service.

See Also:

AWS API Documentation

describeCampaignAsync
```
public Future<DescribeCampaignResult> describeCampaignAsync(DescribeCampaignRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Describes the given campaign, including its status.

A campaign can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
When the status is CREATE FAILED, the response includes the failureReason key, which describes why.

For more information on campaigns, see CreateCampaign.
Specified by:

describeCampaignAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeCampaign operation returned by the service.

See Also:

AWS API Documentation

describeCampaignAsync
```
public Future<DescribeCampaignResult> describeCampaignAsync(DescribeCampaignRequest request,
                                                            AsyncHandler<DescribeCampaignRequest,DescribeCampaignResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Describes the given campaign, including its status.

A campaign can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
When the status is CREATE FAILED, the response includes the failureReason key, which describes why.

For more information on campaigns, see CreateCampaign.
Specified by:

describeCampaignAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeCampaign operation returned by the service.

See Also:

AWS API Documentation

describeDataDeletionJobAsync
```
public Future<DescribeDataDeletionJobResult> describeDataDeletionJobAsync(DescribeDataDeletionJobRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the data deletion job created by CreateDataDeletionJob, including the job status.

Specified by:

describeDataDeletionJobAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeDataDeletionJob operation returned by the service.

See Also:

AWS API Documentation

describeDataDeletionJobAsync
```
public Future<DescribeDataDeletionJobResult> describeDataDeletionJobAsync(DescribeDataDeletionJobRequest request,
                                                                          AsyncHandler<DescribeDataDeletionJobRequest,DescribeDataDeletionJobResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the data deletion job created by CreateDataDeletionJob, including the job status.

Specified by:

describeDataDeletionJobAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeDataDeletionJob operation returned by the service.

See Also:

AWS API Documentation

describeDatasetAsync
```
public Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the given dataset. For more information on datasets, see CreateDataset.

Specified by:

describeDatasetAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeDataset operation returned by the service.

See Also:

AWS API Documentation

describeDatasetAsync
```
public Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest request,
                                                          AsyncHandler<DescribeDatasetRequest,DescribeDatasetResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the given dataset. For more information on datasets, see CreateDataset.

Specified by:

describeDatasetAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeDataset operation returned by the service.

See Also:

AWS API Documentation

describeDatasetExportJobAsync
```
public Future<DescribeDatasetExportJobResult> describeDatasetExportJobAsync(DescribeDatasetExportJobRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the dataset export job created by CreateDatasetExportJob, including the export job status.

Specified by:

describeDatasetExportJobAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeDatasetExportJob operation returned by the service.

See Also:

AWS API Documentation

describeDatasetExportJobAsync
```
public Future<DescribeDatasetExportJobResult> describeDatasetExportJobAsync(DescribeDatasetExportJobRequest request,
                                                                            AsyncHandler<DescribeDatasetExportJobRequest,DescribeDatasetExportJobResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the dataset export job created by CreateDatasetExportJob, including the export job status.

Specified by:

describeDatasetExportJobAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeDatasetExportJob operation returned by the service.

See Also:

AWS API Documentation

describeDatasetGroupAsync
```
public Future<DescribeDatasetGroupResult> describeDatasetGroupAsync(DescribeDatasetGroupRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the given dataset group. For more information on dataset groups, see CreateDatasetGroup.

Specified by:

describeDatasetGroupAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeDatasetGroup operation returned by the service.

See Also:

AWS API Documentation

describeDatasetGroupAsync
```
public Future<DescribeDatasetGroupResult> describeDatasetGroupAsync(DescribeDatasetGroupRequest request,
                                                                    AsyncHandler<DescribeDatasetGroupRequest,DescribeDatasetGroupResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the given dataset group. For more information on dataset groups, see CreateDatasetGroup.

Specified by:

describeDatasetGroupAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeDatasetGroup operation returned by the service.

See Also:

AWS API Documentation

describeDatasetImportJobAsync
```
public Future<DescribeDatasetImportJobResult> describeDatasetImportJobAsync(DescribeDatasetImportJobRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the dataset import job created by CreateDatasetImportJob, including the import job status.

Specified by:

describeDatasetImportJobAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeDatasetImportJob operation returned by the service.

See Also:

AWS API Documentation

describeDatasetImportJobAsync
```
public Future<DescribeDatasetImportJobResult> describeDatasetImportJobAsync(DescribeDatasetImportJobRequest request,
                                                                            AsyncHandler<DescribeDatasetImportJobRequest,DescribeDatasetImportJobResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the dataset import job created by CreateDatasetImportJob, including the import job status.

Specified by:

describeDatasetImportJobAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeDatasetImportJob operation returned by the service.

See Also:

AWS API Documentation

describeEventTrackerAsync
```
public Future<DescribeEventTrackerResult> describeEventTrackerAsync(DescribeEventTrackerRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes an event tracker. The response includes the trackingId and status of the event tracker. For more information on event trackers, see CreateEventTracker.

Specified by:

describeEventTrackerAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeEventTracker operation returned by the service.

See Also:

AWS API Documentation

describeEventTrackerAsync
```
public Future<DescribeEventTrackerResult> describeEventTrackerAsync(DescribeEventTrackerRequest request,
                                                                    AsyncHandler<DescribeEventTrackerRequest,DescribeEventTrackerResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes an event tracker. The response includes the trackingId and status of the event tracker. For more information on event trackers, see CreateEventTracker.

Specified by:

describeEventTrackerAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeEventTracker operation returned by the service.

See Also:

AWS API Documentation

describeFeatureTransformationAsync
```
public Future<DescribeFeatureTransformationResult> describeFeatureTransformationAsync(DescribeFeatureTransformationRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the given feature transformation.

Specified by:

describeFeatureTransformationAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeFeatureTransformation operation returned by the service.

See Also:

AWS API Documentation

describeFeatureTransformationAsync
```
public Future<DescribeFeatureTransformationResult> describeFeatureTransformationAsync(DescribeFeatureTransformationRequest request,
                                                                                      AsyncHandler<DescribeFeatureTransformationRequest,DescribeFeatureTransformationResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes the given feature transformation.

Specified by:

describeFeatureTransformationAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeFeatureTransformation operation returned by the service.

See Also:

AWS API Documentation

describeFilterAsync
```
public Future<DescribeFilterResult> describeFilterAsync(DescribeFilterRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a filter's properties.

Specified by:

describeFilterAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeFilter operation returned by the service.

See Also:

AWS API Documentation

describeFilterAsync
```
public Future<DescribeFilterResult> describeFilterAsync(DescribeFilterRequest request,
                                                        AsyncHandler<DescribeFilterRequest,DescribeFilterResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a filter's properties.

Specified by:

describeFilterAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeFilter operation returned by the service.

See Also:

AWS API Documentation

describeMetricAttributionAsync
```
public Future<DescribeMetricAttributionResult> describeMetricAttributionAsync(DescribeMetricAttributionRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a metric attribution.

Specified by:

describeMetricAttributionAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeMetricAttribution operation returned by the service.

See Also:

AWS API Documentation

describeMetricAttributionAsync
```
public Future<DescribeMetricAttributionResult> describeMetricAttributionAsync(DescribeMetricAttributionRequest request,
                                                                              AsyncHandler<DescribeMetricAttributionRequest,DescribeMetricAttributionResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a metric attribution.

Specified by:

describeMetricAttributionAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeMetricAttribution operation returned by the service.

See Also:

AWS API Documentation

describeRecipeAsync
```
public Future<DescribeRecipeResult> describeRecipeAsync(DescribeRecipeRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Describes a recipe.

A recipe contains three items:
- An algorithm that trains a model.
- Hyperparameters that govern the training.
- Feature transformation information for modifying the input data before training.
Amazon Personalize provides a set of predefined recipes. You specify a recipe when you create a solution with the CreateSolution API. CreateSolution trains a model by using the algorithm in the specified recipe and a training dataset. The solution, when deployed as a campaign, can provide recommendations using the GetRecommendations API.
Specified by:

describeRecipeAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeRecipe operation returned by the service.

See Also:

AWS API Documentation

describeRecipeAsync
```
public Future<DescribeRecipeResult> describeRecipeAsync(DescribeRecipeRequest request,
                                                        AsyncHandler<DescribeRecipeRequest,DescribeRecipeResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Describes a recipe.

A recipe contains three items:
- An algorithm that trains a model.
- Hyperparameters that govern the training.
- Feature transformation information for modifying the input data before training.
Amazon Personalize provides a set of predefined recipes. You specify a recipe when you create a solution with the CreateSolution API. CreateSolution trains a model by using the algorithm in the specified recipe and a training dataset. The solution, when deployed as a campaign, can provide recommendations using the GetRecommendations API.
Specified by:

describeRecipeAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeRecipe operation returned by the service.

See Also:

AWS API Documentation

describeRecommenderAsync
```
public Future<DescribeRecommenderResult> describeRecommenderAsync(DescribeRecommenderRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Describes the given recommender, including its status.

A recommender can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS
When the status is CREATE FAILED, the response includes the failureReason key, which describes why.

The modelMetrics key is null when the recommender is being created or deleted.

For more information on recommenders, see CreateRecommender.
Specified by:

describeRecommenderAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeRecommender operation returned by the service.

See Also:

AWS API Documentation

describeRecommenderAsync
```
public Future<DescribeRecommenderResult> describeRecommenderAsync(DescribeRecommenderRequest request,
                                                                  AsyncHandler<DescribeRecommenderRequest,DescribeRecommenderResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Describes the given recommender, including its status.

A recommender can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
- DELETE PENDING > DELETE IN_PROGRESS
When the status is CREATE FAILED, the response includes the failureReason key, which describes why.

The modelMetrics key is null when the recommender is being created or deleted.

For more information on recommenders, see CreateRecommender.
Specified by:

describeRecommenderAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeRecommender operation returned by the service.

See Also:

AWS API Documentation

describeSchemaAsync
```
public Future<DescribeSchemaResult> describeSchemaAsync(DescribeSchemaRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a schema. For more information on schemas, see CreateSchema.

Specified by:

describeSchemaAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeSchema operation returned by the service.

See Also:

AWS API Documentation

describeSchemaAsync
```
public Future<DescribeSchemaResult> describeSchemaAsync(DescribeSchemaRequest request,
                                                        AsyncHandler<DescribeSchemaRequest,DescribeSchemaResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a schema. For more information on schemas, see CreateSchema.

Specified by:

describeSchemaAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeSchema operation returned by the service.

See Also:

AWS API Documentation

describeSolutionAsync
```
public Future<DescribeSolutionResult> describeSolutionAsync(DescribeSolutionRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a solution. For more information on solutions, see CreateSolution.

Specified by:

describeSolutionAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeSolution operation returned by the service.

See Also:

AWS API Documentation

describeSolutionAsync
```
public Future<DescribeSolutionResult> describeSolutionAsync(DescribeSolutionRequest request,
                                                            AsyncHandler<DescribeSolutionRequest,DescribeSolutionResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a solution. For more information on solutions, see CreateSolution.

Specified by:

describeSolutionAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeSolution operation returned by the service.

See Also:

AWS API Documentation

describeSolutionVersionAsync
```
public Future<DescribeSolutionVersionResult> describeSolutionVersionAsync(DescribeSolutionVersionRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a specific version of a solution. For more information on solutions, see CreateSolution

Specified by:

describeSolutionVersionAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the DescribeSolutionVersion operation returned by the service.

See Also:

AWS API Documentation

describeSolutionVersionAsync
```
public Future<DescribeSolutionVersionResult> describeSolutionVersionAsync(DescribeSolutionVersionRequest request,
                                                                          AsyncHandler<DescribeSolutionVersionRequest,DescribeSolutionVersionResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Describes a specific version of a solution. For more information on solutions, see CreateSolution

Specified by:

describeSolutionVersionAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the DescribeSolutionVersion operation returned by the service.

See Also:

AWS API Documentation

getSolutionMetricsAsync
```
public Future<GetSolutionMetricsResult> getSolutionMetricsAsync(GetSolutionMetricsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Gets the metrics for the specified solution version.

Specified by:

getSolutionMetricsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the GetSolutionMetrics operation returned by the service.

See Also:

AWS API Documentation

getSolutionMetricsAsync
```
public Future<GetSolutionMetricsResult> getSolutionMetricsAsync(GetSolutionMetricsRequest request,
                                                                AsyncHandler<GetSolutionMetricsRequest,GetSolutionMetricsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Gets the metrics for the specified solution version.

Specified by:

getSolutionMetricsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the GetSolutionMetrics operation returned by the service.

See Also:

AWS API Documentation

listBatchInferenceJobsAsync
```
public Future<ListBatchInferenceJobsResult> listBatchInferenceJobsAsync(ListBatchInferenceJobsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Gets a list of the batch inference jobs that have been performed off of a solution version.

Specified by:

listBatchInferenceJobsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListBatchInferenceJobs operation returned by the service.

See Also:

AWS API Documentation

listBatchInferenceJobsAsync
```
public Future<ListBatchInferenceJobsResult> listBatchInferenceJobsAsync(ListBatchInferenceJobsRequest request,
                                                                        AsyncHandler<ListBatchInferenceJobsRequest,ListBatchInferenceJobsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Gets a list of the batch inference jobs that have been performed off of a solution version.

Specified by:

listBatchInferenceJobsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListBatchInferenceJobs operation returned by the service.

See Also:

AWS API Documentation

listBatchSegmentJobsAsync
```
public Future<ListBatchSegmentJobsResult> listBatchSegmentJobsAsync(ListBatchSegmentJobsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Gets a list of the batch segment jobs that have been performed off of a solution version that you specify.

Specified by:

listBatchSegmentJobsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListBatchSegmentJobs operation returned by the service.

See Also:

AWS API Documentation

listBatchSegmentJobsAsync
```
public Future<ListBatchSegmentJobsResult> listBatchSegmentJobsAsync(ListBatchSegmentJobsRequest request,
                                                                    AsyncHandler<ListBatchSegmentJobsRequest,ListBatchSegmentJobsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Gets a list of the batch segment jobs that have been performed off of a solution version that you specify.

Specified by:

listBatchSegmentJobsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListBatchSegmentJobs operation returned by the service.

See Also:

AWS API Documentation

listCampaignsAsync
```
public Future<ListCampaignsResult> listCampaignsAsync(ListCampaignsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of campaigns that use the given solution. When a solution is not specified, all the campaigns associated with the account are listed. The response provides the properties for each campaign, including the Amazon Resource Name (ARN). For more information on campaigns, see CreateCampaign.

Specified by:

listCampaignsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListCampaigns operation returned by the service.

See Also:

AWS API Documentation

listCampaignsAsync
```
public Future<ListCampaignsResult> listCampaignsAsync(ListCampaignsRequest request,
                                                      AsyncHandler<ListCampaignsRequest,ListCampaignsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of campaigns that use the given solution. When a solution is not specified, all the campaigns associated with the account are listed. The response provides the properties for each campaign, including the Amazon Resource Name (ARN). For more information on campaigns, see CreateCampaign.

Specified by:

listCampaignsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListCampaigns operation returned by the service.

See Also:

AWS API Documentation

listDataDeletionJobsAsync
```
public Future<ListDataDeletionJobsResult> listDataDeletionJobsAsync(ListDataDeletionJobsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of data deletion jobs for a dataset group ordered by creation time, with the most recent first. When a dataset group is not specified, all the data deletion jobs associated with the account are listed. The response provides the properties for each job, including the Amazon Resource Name (ARN). For more information on data deletion jobs, see Deleting users.

Specified by:

listDataDeletionJobsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListDataDeletionJobs operation returned by the service.

See Also:

AWS API Documentation

listDataDeletionJobsAsync
```
public Future<ListDataDeletionJobsResult> listDataDeletionJobsAsync(ListDataDeletionJobsRequest request,
                                                                    AsyncHandler<ListDataDeletionJobsRequest,ListDataDeletionJobsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of data deletion jobs for a dataset group ordered by creation time, with the most recent first. When a dataset group is not specified, all the data deletion jobs associated with the account are listed. The response provides the properties for each job, including the Amazon Resource Name (ARN). For more information on data deletion jobs, see Deleting users.

Specified by:

listDataDeletionJobsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListDataDeletionJobs operation returned by the service.

See Also:

AWS API Documentation

listDatasetExportJobsAsync
```
public Future<ListDatasetExportJobsResult> listDatasetExportJobsAsync(ListDatasetExportJobsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of dataset export jobs that use the given dataset. When a dataset is not specified, all the dataset export jobs associated with the account are listed. The response provides the properties for each dataset export job, including the Amazon Resource Name (ARN). For more information on dataset export jobs, see CreateDatasetExportJob. For more information on datasets, see CreateDataset.

Specified by:

listDatasetExportJobsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListDatasetExportJobs operation returned by the service.

See Also:

AWS API Documentation

listDatasetExportJobsAsync
```
public Future<ListDatasetExportJobsResult> listDatasetExportJobsAsync(ListDatasetExportJobsRequest request,
                                                                      AsyncHandler<ListDatasetExportJobsRequest,ListDatasetExportJobsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of dataset export jobs that use the given dataset. When a dataset is not specified, all the dataset export jobs associated with the account are listed. The response provides the properties for each dataset export job, including the Amazon Resource Name (ARN). For more information on dataset export jobs, see CreateDatasetExportJob. For more information on datasets, see CreateDataset.

Specified by:

listDatasetExportJobsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListDatasetExportJobs operation returned by the service.

See Also:

AWS API Documentation

listDatasetGroupsAsync
```
public Future<ListDatasetGroupsResult> listDatasetGroupsAsync(ListDatasetGroupsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of dataset groups. The response provides the properties for each dataset group, including the Amazon Resource Name (ARN). For more information on dataset groups, see CreateDatasetGroup.

Specified by:

listDatasetGroupsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListDatasetGroups operation returned by the service.

See Also:

AWS API Documentation

listDatasetGroupsAsync
```
public Future<ListDatasetGroupsResult> listDatasetGroupsAsync(ListDatasetGroupsRequest request,
                                                              AsyncHandler<ListDatasetGroupsRequest,ListDatasetGroupsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of dataset groups. The response provides the properties for each dataset group, including the Amazon Resource Name (ARN). For more information on dataset groups, see CreateDatasetGroup.

Specified by:

listDatasetGroupsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListDatasetGroups operation returned by the service.

See Also:

AWS API Documentation

listDatasetImportJobsAsync
```
public Future<ListDatasetImportJobsResult> listDatasetImportJobsAsync(ListDatasetImportJobsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of dataset import jobs that use the given dataset. When a dataset is not specified, all the dataset import jobs associated with the account are listed. The response provides the properties for each dataset import job, including the Amazon Resource Name (ARN). For more information on dataset import jobs, see CreateDatasetImportJob. For more information on datasets, see CreateDataset.

Specified by:

listDatasetImportJobsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListDatasetImportJobs operation returned by the service.

See Also:

AWS API Documentation

listDatasetImportJobsAsync
```
public Future<ListDatasetImportJobsResult> listDatasetImportJobsAsync(ListDatasetImportJobsRequest request,
                                                                      AsyncHandler<ListDatasetImportJobsRequest,ListDatasetImportJobsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of dataset import jobs that use the given dataset. When a dataset is not specified, all the dataset import jobs associated with the account are listed. The response provides the properties for each dataset import job, including the Amazon Resource Name (ARN). For more information on dataset import jobs, see CreateDatasetImportJob. For more information on datasets, see CreateDataset.

Specified by:

listDatasetImportJobsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListDatasetImportJobs operation returned by the service.

See Also:

AWS API Documentation

listDatasetsAsync
```
public Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns the list of datasets contained in the given dataset group. The response provides the properties for each dataset, including the Amazon Resource Name (ARN). For more information on datasets, see CreateDataset.

Specified by:

listDatasetsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListDatasets operation returned by the service.

See Also:

AWS API Documentation

listDatasetsAsync
```
public Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest request,
                                                    AsyncHandler<ListDatasetsRequest,ListDatasetsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns the list of datasets contained in the given dataset group. The response provides the properties for each dataset, including the Amazon Resource Name (ARN). For more information on datasets, see CreateDataset.

Specified by:

listDatasetsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListDatasets operation returned by the service.

See Also:

AWS API Documentation

listEventTrackersAsync
```
public Future<ListEventTrackersResult> listEventTrackersAsync(ListEventTrackersRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns the list of event trackers associated with the account. The response provides the properties for each event tracker, including the Amazon Resource Name (ARN) and tracking ID. For more information on event trackers, see CreateEventTracker.

Specified by:

listEventTrackersAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListEventTrackers operation returned by the service.

See Also:

AWS API Documentation

listEventTrackersAsync
```
public Future<ListEventTrackersResult> listEventTrackersAsync(ListEventTrackersRequest request,
                                                              AsyncHandler<ListEventTrackersRequest,ListEventTrackersResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns the list of event trackers associated with the account. The response provides the properties for each event tracker, including the Amazon Resource Name (ARN) and tracking ID. For more information on event trackers, see CreateEventTracker.

Specified by:

listEventTrackersAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListEventTrackers operation returned by the service.

See Also:

AWS API Documentation

listFiltersAsync
```
public Future<ListFiltersResult> listFiltersAsync(ListFiltersRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Lists all filters that belong to a given dataset group.

Specified by:

listFiltersAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListFilters operation returned by the service.

See Also:

AWS API Documentation

listFiltersAsync
```
public Future<ListFiltersResult> listFiltersAsync(ListFiltersRequest request,
                                                  AsyncHandler<ListFiltersRequest,ListFiltersResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Lists all filters that belong to a given dataset group.

Specified by:

listFiltersAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListFilters operation returned by the service.

See Also:

AWS API Documentation

listMetricAttributionMetricsAsync
```
public Future<ListMetricAttributionMetricsResult> listMetricAttributionMetricsAsync(ListMetricAttributionMetricsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Lists the metrics for the metric attribution.

Specified by:

listMetricAttributionMetricsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListMetricAttributionMetrics operation returned by the service.

See Also:

AWS API Documentation

listMetricAttributionMetricsAsync
```
public Future<ListMetricAttributionMetricsResult> listMetricAttributionMetricsAsync(ListMetricAttributionMetricsRequest request,
                                                                                    AsyncHandler<ListMetricAttributionMetricsRequest,ListMetricAttributionMetricsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Lists the metrics for the metric attribution.

Specified by:

listMetricAttributionMetricsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListMetricAttributionMetrics operation returned by the service.

See Also:

AWS API Documentation

listMetricAttributionsAsync
```
public Future<ListMetricAttributionsResult> listMetricAttributionsAsync(ListMetricAttributionsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Lists metric attributions.

Specified by:

listMetricAttributionsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListMetricAttributions operation returned by the service.

See Also:

AWS API Documentation

listMetricAttributionsAsync
```
public Future<ListMetricAttributionsResult> listMetricAttributionsAsync(ListMetricAttributionsRequest request,
                                                                        AsyncHandler<ListMetricAttributionsRequest,ListMetricAttributionsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Lists metric attributions.

Specified by:

listMetricAttributionsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListMetricAttributions operation returned by the service.

See Also:

AWS API Documentation

listRecipesAsync
```
public Future<ListRecipesResult> listRecipesAsync(ListRecipesRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of available recipes. The response provides the properties for each recipe, including the recipe's Amazon Resource Name (ARN).

Specified by:

listRecipesAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListRecipes operation returned by the service.

See Also:

AWS API Documentation

listRecipesAsync
```
public Future<ListRecipesResult> listRecipesAsync(ListRecipesRequest request,
                                                  AsyncHandler<ListRecipesRequest,ListRecipesResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of available recipes. The response provides the properties for each recipe, including the recipe's Amazon Resource Name (ARN).

Specified by:

listRecipesAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListRecipes operation returned by the service.

See Also:

AWS API Documentation

listRecommendersAsync
```
public Future<ListRecommendersResult> listRecommendersAsync(ListRecommendersRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of recommenders in a given Domain dataset group. When a Domain dataset group is not specified, all the recommenders associated with the account are listed. The response provides the properties for each recommender, including the Amazon Resource Name (ARN). For more information on recommenders, see CreateRecommender.

Specified by:

listRecommendersAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListRecommenders operation returned by the service.

See Also:

AWS API Documentation

listRecommendersAsync
```
public Future<ListRecommendersResult> listRecommendersAsync(ListRecommendersRequest request,
                                                            AsyncHandler<ListRecommendersRequest,ListRecommendersResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of recommenders in a given Domain dataset group. When a Domain dataset group is not specified, all the recommenders associated with the account are listed. The response provides the properties for each recommender, including the Amazon Resource Name (ARN). For more information on recommenders, see CreateRecommender.

Specified by:

listRecommendersAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListRecommenders operation returned by the service.

See Also:

AWS API Documentation

listSchemasAsync
```
public Future<ListSchemasResult> listSchemasAsync(ListSchemasRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns the list of schemas associated with the account. The response provides the properties for each schema, including the Amazon Resource Name (ARN). For more information on schemas, see CreateSchema.

Specified by:

listSchemasAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListSchemas operation returned by the service.

See Also:

AWS API Documentation

listSchemasAsync
```
public Future<ListSchemasResult> listSchemasAsync(ListSchemasRequest request,
                                                  AsyncHandler<ListSchemasRequest,ListSchemasResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns the list of schemas associated with the account. The response provides the properties for each schema, including the Amazon Resource Name (ARN). For more information on schemas, see CreateSchema.

Specified by:

listSchemasAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListSchemas operation returned by the service.

See Also:

AWS API Documentation

listSolutionVersionsAsync
```
public Future<ListSolutionVersionsResult> listSolutionVersionsAsync(ListSolutionVersionsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of solution versions for the given solution. When a solution is not specified, all the solution versions associated with the account are listed. The response provides the properties for each solution version, including the Amazon Resource Name (ARN).

Specified by:

listSolutionVersionsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListSolutionVersions operation returned by the service.

See Also:

AWS API Documentation

listSolutionVersionsAsync
```
public Future<ListSolutionVersionsResult> listSolutionVersionsAsync(ListSolutionVersionsRequest request,
                                                                    AsyncHandler<ListSolutionVersionsRequest,ListSolutionVersionsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of solution versions for the given solution. When a solution is not specified, all the solution versions associated with the account are listed. The response provides the properties for each solution version, including the Amazon Resource Name (ARN).

Specified by:

listSolutionVersionsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListSolutionVersions operation returned by the service.

See Also:

AWS API Documentation

listSolutionsAsync
```
public Future<ListSolutionsResult> listSolutionsAsync(ListSolutionsRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of solutions in a given dataset group. When a dataset group is not specified, all the solutions associated with the account are listed. The response provides the properties for each solution, including the Amazon Resource Name (ARN). For more information on solutions, see CreateSolution.

Specified by:

listSolutionsAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListSolutions operation returned by the service.

See Also:

AWS API Documentation

listSolutionsAsync
```
public Future<ListSolutionsResult> listSolutionsAsync(ListSolutionsRequest request,
                                                      AsyncHandler<ListSolutionsRequest,ListSolutionsResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Returns a list of solutions in a given dataset group. When a dataset group is not specified, all the solutions associated with the account are listed. The response provides the properties for each solution, including the Amazon Resource Name (ARN). For more information on solutions, see CreateSolution.

Specified by:

listSolutionsAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListSolutions operation returned by the service.

See Also:

AWS API Documentation

listTagsForResourceAsync
```
public Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Get a list of tags attached to a resource.

Specified by:

listTagsForResourceAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the ListTagsForResource operation returned by the service.

See Also:

AWS API Documentation

listTagsForResourceAsync
```
public Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request,
                                                                  AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Get a list of tags attached to a resource.

Specified by:

listTagsForResourceAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the ListTagsForResource operation returned by the service.

See Also:

AWS API Documentation

startRecommenderAsync
```
public Future<StartRecommenderResult> startRecommenderAsync(StartRecommenderRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Starts a recommender that is INACTIVE. Starting a recommender does not create any new models, but resumes billing and automatic retraining for the recommender.

Specified by:

startRecommenderAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the StartRecommender operation returned by the service.

See Also:

AWS API Documentation

startRecommenderAsync
```
public Future<StartRecommenderResult> startRecommenderAsync(StartRecommenderRequest request,
                                                            AsyncHandler<StartRecommenderRequest,StartRecommenderResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Starts a recommender that is INACTIVE. Starting a recommender does not create any new models, but resumes billing and automatic retraining for the recommender.

Specified by:

startRecommenderAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the StartRecommender operation returned by the service.

See Also:

AWS API Documentation

stopRecommenderAsync
```
public Future<StopRecommenderResult> stopRecommenderAsync(StopRecommenderRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Stops a recommender that is ACTIVE. Stopping a recommender halts billing and automatic retraining for the recommender.

Specified by:

stopRecommenderAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the StopRecommender operation returned by the service.

See Also:

AWS API Documentation

stopRecommenderAsync
```
public Future<StopRecommenderResult> stopRecommenderAsync(StopRecommenderRequest request,
                                                          AsyncHandler<StopRecommenderRequest,StopRecommenderResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Stops a recommender that is ACTIVE. Stopping a recommender halts billing and automatic retraining for the recommender.

Specified by:

stopRecommenderAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the StopRecommender operation returned by the service.

See Also:

AWS API Documentation

stopSolutionVersionCreationAsync
```
public Future<StopSolutionVersionCreationResult> stopSolutionVersionCreationAsync(StopSolutionVersionCreationRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS.

Depending on the current state of the solution version, the solution version state changes as follows:
- CREATE_PENDING > CREATE_STOPPED
  
  or
- CREATE_IN_PROGRESS > CREATE_STOPPING > CREATE_STOPPED
You are billed for all of the training completed up until you stop the solution version creation. You cannot resume creating a solution version once it has been stopped.
Specified by:

stopSolutionVersionCreationAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the StopSolutionVersionCreation operation returned by the service.

See Also:

AWS API Documentation

stopSolutionVersionCreationAsync
```
public Future<StopSolutionVersionCreationResult> stopSolutionVersionCreationAsync(StopSolutionVersionCreationRequest request,
                                                                                  AsyncHandler<StopSolutionVersionCreationRequest,StopSolutionVersionCreationResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Stops creating a solution version that is in a state of CREATE_PENDING or CREATE IN_PROGRESS.

Depending on the current state of the solution version, the solution version state changes as follows:
- CREATE_PENDING > CREATE_STOPPED
  
  or
- CREATE_IN_PROGRESS > CREATE_STOPPING > CREATE_STOPPED
You are billed for all of the training completed up until you stop the solution version creation. You cannot resume creating a solution version once it has been stopped.
Specified by:

stopSolutionVersionCreationAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the StopSolutionVersionCreation operation returned by the service.

See Also:

AWS API Documentation

tagResourceAsync
```
public Future<TagResourceResult> tagResourceAsync(TagResourceRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Add a list of tags to a resource.

Specified by:

tagResourceAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the TagResource operation returned by the service.

See Also:

AWS API Documentation

tagResourceAsync
```
public Future<TagResourceResult> tagResourceAsync(TagResourceRequest request,
                                                  AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Add a list of tags to a resource.

Specified by:

tagResourceAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the TagResource operation returned by the service.

See Also:

AWS API Documentation

untagResourceAsync
```
public Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Removes the specified tags that are attached to a resource. For more information, see Removing tags from Amazon Personalize resources.

Specified by:

untagResourceAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the UntagResource operation returned by the service.

See Also:

AWS API Documentation

untagResourceAsync
```
public Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request,
                                                      AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Removes the specified tags that are attached to a resource. For more information, see Removing tags from Amazon Personalize resources.

Specified by:

untagResourceAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the UntagResource operation returned by the service.

See Also:

AWS API Documentation

updateCampaignAsync
```
public Future<UpdateCampaignResult> updateCampaignAsync(UpdateCampaignRequest request)
```
Description copied from interface: AmazonPersonalizeAsync
Updates a campaign to deploy a retrained solution version with an existing campaign, change your campaign's minProvisionedTPS, or modify your campaign's configuration. For example, you can set enableMetadataWithRecommendations to true for an existing campaign.

To update a campaign to start automatically using the latest solution version, specify the following:
- For the SolutionVersionArn parameter, specify the Amazon Resource Name (ARN) of your solution in SolutionArn/$LATEST format.
- In the campaignConfig, set syncWithLatestSolutionVersion to true.
To update a campaign, the campaign status must be ACTIVE or CREATE FAILED. Check the campaign status using the DescribeCampaign operation.

You can still get recommendations from a campaign while an update is in progress. The campaign will use the previous solution version and campaign configuration to generate recommendations until the latest campaign update status is Active.

For more information about updating a campaign, including code samples, see Updating a campaign. For more information about campaigns, see Creating a campaign.
Specified by:

updateCampaignAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the UpdateCampaign operation returned by the service.

See Also:

AWS API Documentation

updateCampaignAsync
```
public Future<UpdateCampaignResult> updateCampaignAsync(UpdateCampaignRequest request,
                                                        AsyncHandler<UpdateCampaignRequest,UpdateCampaignResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync
Updates a campaign to deploy a retrained solution version with an existing campaign, change your campaign's minProvisionedTPS, or modify your campaign's configuration. For example, you can set enableMetadataWithRecommendations to true for an existing campaign.

To update a campaign to start automatically using the latest solution version, specify the following:
- For the SolutionVersionArn parameter, specify the Amazon Resource Name (ARN) of your solution in SolutionArn/$LATEST format.
- In the campaignConfig, set syncWithLatestSolutionVersion to true.
To update a campaign, the campaign status must be ACTIVE or CREATE FAILED. Check the campaign status using the DescribeCampaign operation.

You can still get recommendations from a campaign while an update is in progress. The campaign will use the previous solution version and campaign configuration to generate recommendations until the latest campaign update status is Active.

For more information about updating a campaign, including code samples, see Updating a campaign. For more information about campaigns, see Creating a campaign.
Specified by:

updateCampaignAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the UpdateCampaign operation returned by the service.

See Also:

AWS API Documentation

updateDatasetAsync
```
public Future<UpdateDatasetResult> updateDatasetAsync(UpdateDatasetRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Update a dataset to replace its schema with a new or existing one. For more information, see Replacing a dataset's schema.

Specified by:

updateDatasetAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the UpdateDataset operation returned by the service.

See Also:

AWS API Documentation

updateDatasetAsync
```
public Future<UpdateDatasetResult> updateDatasetAsync(UpdateDatasetRequest request,
                                                      AsyncHandler<UpdateDatasetRequest,UpdateDatasetResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Update a dataset to replace its schema with a new or existing one. For more information, see Replacing a dataset's schema.

Specified by:

updateDatasetAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the UpdateDataset operation returned by the service.

See Also:

AWS API Documentation

updateMetricAttributionAsync
```
public Future<UpdateMetricAttributionResult> updateMetricAttributionAsync(UpdateMetricAttributionRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Updates a metric attribution.

Specified by:

updateMetricAttributionAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the UpdateMetricAttribution operation returned by the service.

See Also:

AWS API Documentation

updateMetricAttributionAsync
```
public Future<UpdateMetricAttributionResult> updateMetricAttributionAsync(UpdateMetricAttributionRequest request,
                                                                          AsyncHandler<UpdateMetricAttributionRequest,UpdateMetricAttributionResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Updates a metric attribution.

Specified by:

updateMetricAttributionAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the UpdateMetricAttribution operation returned by the service.

See Also:

AWS API Documentation

updateRecommenderAsync
```
public Future<UpdateRecommenderResult> updateRecommenderAsync(UpdateRecommenderRequest request)
```
Description copied from interface: AmazonPersonalizeAsync

Updates the recommender to modify the recommender configuration. If you update the recommender to modify the columns used in training, Amazon Personalize automatically starts a full retraining of the models backing your recommender. While the update completes, you can still get recommendations from the recommender. The recommender uses the previous configuration until the update completes. To track the status of this update, use the latestRecommenderUpdate returned in the DescribeRecommender operation.

Specified by:

updateRecommenderAsync in interface AmazonPersonalizeAsync

Returns:

A Java Future containing the result of the UpdateRecommender operation returned by the service.

See Also:

AWS API Documentation

updateRecommenderAsync
```
public Future<UpdateRecommenderResult> updateRecommenderAsync(UpdateRecommenderRequest request,
                                                              AsyncHandler<UpdateRecommenderRequest,UpdateRecommenderResult> asyncHandler)
```
Description copied from interface: AmazonPersonalizeAsync

Updates the recommender to modify the recommender configuration. If you update the recommender to modify the columns used in training, Amazon Personalize automatically starts a full retraining of the models backing your recommender. While the update completes, you can still get recommendations from the recommender. The recommender uses the previous configuration until the update completes. To track the status of this update, use the latestRecommenderUpdate returned in the DescribeRecommender operation.

Specified by:

updateRecommenderAsync in interface AmazonPersonalizeAsync

asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.

Returns:

A Java Future containing the result of the UpdateRecommender operation returned by the service.

See Also:

AWS API Documentation

shutdown
```
public void shutdown()
```
Shuts down the client, releasing all managed resources. This includes forcibly terminating all pending asynchronous service calls. Clients who wish to give pending asynchronous service calls time to complete should call getExecutorService().shutdown() followed by getExecutorService().awaitTermination() prior to calling this method.

Specified by:

shutdown in interface AmazonPersonalize

Overrides:

shutdown in class AmazonPersonalizeClient

AWS SDK for Java 1.x API Reference - 1.12.779

Class AmazonPersonalizeAsyncClient

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceClient

Fields inherited from interface com.amazonaws.services.personalize.AmazonPersonalize

Method Summary

Methods inherited from class com.amazonaws.services.personalize.AmazonPersonalizeClient

Methods inherited from class com.amazonaws.AmazonWebServiceClient

Methods inherited from class java.lang.Object

Methods inherited from interface com.amazonaws.services.personalize.AmazonPersonalize

Method Detail

asyncBuilder

getExecutorService

createBatchInferenceJobAsync

createBatchInferenceJobAsync

createBatchSegmentJobAsync

createBatchSegmentJobAsync

createCampaignAsync

createCampaignAsync

createDataDeletionJobAsync

createDataDeletionJobAsync

createDatasetAsync

createDatasetAsync

createDatasetExportJobAsync

createDatasetExportJobAsync

createDatasetGroupAsync

createDatasetGroupAsync

createDatasetImportJobAsync

createDatasetImportJobAsync

createEventTrackerAsync

createEventTrackerAsync

createFilterAsync

createFilterAsync

createMetricAttributionAsync

createMetricAttributionAsync

createRecommenderAsync

createRecommenderAsync

createSchemaAsync

createSchemaAsync

createSolutionAsync

createSolutionAsync

createSolutionVersionAsync

createSolutionVersionAsync

deleteCampaignAsync

deleteCampaignAsync

deleteDatasetAsync

deleteDatasetAsync

deleteDatasetGroupAsync

deleteDatasetGroupAsync

deleteEventTrackerAsync

deleteEventTrackerAsync

deleteFilterAsync

deleteFilterAsync

deleteMetricAttributionAsync

deleteMetricAttributionAsync

deleteRecommenderAsync

deleteRecommenderAsync

deleteSchemaAsync

deleteSchemaAsync

deleteSolutionAsync

deleteSolutionAsync

describeAlgorithmAsync

describeAlgorithmAsync

describeBatchInferenceJobAsync

describeBatchInferenceJobAsync

describeBatchSegmentJobAsync

describeBatchSegmentJobAsync

describeCampaignAsync

describeCampaignAsync

describeDataDeletionJobAsync

describeDataDeletionJobAsync

describeDatasetAsync

describeDatasetAsync

describeDatasetExportJobAsync

describeDatasetExportJobAsync

describeDatasetGroupAsync

describeDatasetGroupAsync

describeDatasetImportJobAsync

describeDatasetImportJobAsync

describeEventTrackerAsync