github.com/aavshr/aws-sdk-go@v1.41.3/service/augmentedairuntime/doc.go (about)

     1  // Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT.
     2  
     3  // Package augmentedairuntime provides the client and types for making API
     4  // requests to Amazon Augmented AI Runtime.
     5  //
     6  // Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any
     7  // machine learning application. When an AI application can't evaluate data
     8  // with a high degree of confidence, human reviewers can take over. This human
     9  // review is called a human review workflow. To create and start a human review
    10  // workflow, you need three resources: a worker task template, a flow definition,
    11  // and a human loop.
    12  //
    13  // For information about these resources and prerequisites for using Amazon
    14  // A2I, see Get Started with Amazon Augmented AI (https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-getting-started.html)
    15  // in the Amazon SageMaker Developer Guide.
    16  //
    17  // This API reference includes information about API actions and data types
    18  // that you can use to interact with Amazon A2I programmatically. Use this guide
    19  // to:
    20  //
    21  //    * Start a human loop with the StartHumanLoop operation when using Amazon
    22  //    A2I with a custom task type. To learn more about the difference between
    23  //    custom and built-in task types, see Use Task Types (https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-task-types-general.html).
    24  //    To learn how to start a human loop using this API, see Create and Start
    25  //    a Human Loop for a Custom Task Type (https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-start-human-loop.html#a2i-instructions-starthumanloop)
    26  //    in the Amazon SageMaker Developer Guide.
    27  //
    28  //    * Manage your human loops. You can list all human loops that you have
    29  //    created, describe individual human loops, and stop and delete human loops.
    30  //    To learn more, see Monitor and Manage Your Human Loop (https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-monitor-humanloop-results.html)
    31  //    in the Amazon SageMaker Developer Guide.
    32  //
    33  // Amazon A2I integrates APIs from various AWS services to create and start
    34  // human review workflows for those services. To learn how Amazon A2I uses these
    35  // APIs, see Use APIs in Amazon A2I (https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-api-references.html)
    36  // in the Amazon SageMaker Developer Guide.
    37  //
    38  // See https://docs.aws.amazon.com/goto/WebAPI/sagemaker-a2i-runtime-2019-11-07 for more information on this service.
    39  //
    40  // See augmentedairuntime package documentation for more information.
    41  // https://docs.aws.amazon.com/sdk-for-go/api/service/augmentedairuntime/
    42  //
    43  // Using the Client
    44  //
    45  // To contact Amazon Augmented AI Runtime with the SDK use the New function to create
    46  // a new service client. With that client you can make API requests to the service.
    47  // These clients are safe to use concurrently.
    48  //
    49  // See the SDK's documentation for more information on how to use the SDK.
    50  // https://docs.aws.amazon.com/sdk-for-go/api/
    51  //
    52  // See aws.Config documentation for more information on configuring SDK clients.
    53  // https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config
    54  //
    55  // See the Amazon Augmented AI Runtime client AugmentedAIRuntime for more
    56  // information on creating client for this service.
    57  // https://docs.aws.amazon.com/sdk-for-go/api/service/augmentedairuntime/#New
    58  package augmentedairuntime