Uses of Class
com.amazonaws.services.personalize.model.CreateBatchInferenceJobRequest

Packages that use CreateBatchInferenceJobRequest

Package	Description
com.amazonaws.services.personalize	Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.
com.amazonaws.services.personalize.model

Uses of CreateBatchInferenceJobRequest in com.amazonaws.services.personalize

Methods in com.amazonaws.services.personalize with parameters of type CreateBatchInferenceJobRequest

Modifier and Type	Method and Description
CreateBatchInferenceJobResult	AbstractAmazonPersonalize.createBatchInferenceJob(CreateBatchInferenceJobRequest request)
CreateBatchInferenceJobResult	AmazonPersonalizeClient.createBatchInferenceJob(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.
CreateBatchInferenceJobResult	AmazonPersonalize.createBatchInferenceJob(CreateBatchInferenceJobRequest createBatchInferenceJobRequest) Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.
Future<CreateBatchInferenceJobResult>	AmazonPersonalizeAsyncClient.createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request)
Future<CreateBatchInferenceJobResult>	AbstractAmazonPersonalizeAsync.createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request)
Future<CreateBatchInferenceJobResult>	AmazonPersonalizeAsync.createBatchInferenceJobAsync(CreateBatchInferenceJobRequest createBatchInferenceJobRequest) Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.
Future<CreateBatchInferenceJobResult>	AmazonPersonalizeAsyncClient.createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request, AsyncHandler<CreateBatchInferenceJobRequest,CreateBatchInferenceJobResult> asyncHandler)
Future<CreateBatchInferenceJobResult>	AbstractAmazonPersonalizeAsync.createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request, AsyncHandler<CreateBatchInferenceJobRequest,CreateBatchInferenceJobResult> asyncHandler)
Future<CreateBatchInferenceJobResult>	AmazonPersonalizeAsync.createBatchInferenceJobAsync(CreateBatchInferenceJobRequest createBatchInferenceJobRequest, 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.

Method parameters in com.amazonaws.services.personalize with type arguments of type CreateBatchInferenceJobRequest

Modifier and Type	Method and Description
Future<CreateBatchInferenceJobResult>	AmazonPersonalizeAsyncClient.createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request, AsyncHandler<CreateBatchInferenceJobRequest,CreateBatchInferenceJobResult> asyncHandler)
Future<CreateBatchInferenceJobResult>	AbstractAmazonPersonalizeAsync.createBatchInferenceJobAsync(CreateBatchInferenceJobRequest request, AsyncHandler<CreateBatchInferenceJobRequest,CreateBatchInferenceJobResult> asyncHandler)
Future<CreateBatchInferenceJobResult>	AmazonPersonalizeAsync.createBatchInferenceJobAsync(CreateBatchInferenceJobRequest createBatchInferenceJobRequest, 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.

Uses of CreateBatchInferenceJobRequest in com.amazonaws.services.personalize.model

Methods in com.amazonaws.services.personalize.model that return CreateBatchInferenceJobRequest

Modifier and Type	Method and Description
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.clone()
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withBatchInferenceJobConfig(BatchInferenceJobConfig batchInferenceJobConfig) The configuration details of a batch inference job.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withBatchInferenceJobMode(BatchInferenceJobMode batchInferenceJobMode) The mode of the batch inference job.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withBatchInferenceJobMode(String batchInferenceJobMode) The mode of the batch inference job.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withFilterArn(String filterArn) The ARN of the filter to apply to the batch inference job.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withJobInput(BatchInferenceJobInput jobInput) The Amazon S3 path that leads to the input file to base your recommendations on.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withJobName(String jobName) The name of the batch inference job to create.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withJobOutput(BatchInferenceJobOutput jobOutput) The path to the Amazon S3 bucket where the job's output will be stored.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withNumResults(Integer numResults) The number of recommendations to retrieve.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withRoleArn(String roleArn) The ARN of the Amazon Identity and Access Management role that has permissions to read and write to your input and output Amazon S3 buckets respectively.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withSolutionVersionArn(String solutionVersionArn) The Amazon Resource Name (ARN) of the solution version that will be used to generate the batch inference recommendations.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withTags(Collection<Tag> tags) A list of tags to apply to the batch inference job.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withTags(Tag... tags) A list of tags to apply to the batch inference job.
CreateBatchInferenceJobRequest	CreateBatchInferenceJobRequest.withThemeGenerationConfig(ThemeGenerationConfig themeGenerationConfig) For theme generation jobs, specify the name of the column in your Items dataset that contains each item's name.