/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ /** *

* Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning application. When an AI * application can't evaluate data with a high degree of confidence, human reviewers can take over. This human review is * called a human review workflow. To create and start a human review workflow, you need three resources: a worker * task template, a flow definition, and a human loop. *

*

* For information about these resources and prerequisites for using Amazon A2I, see Get Started with Amazon Augmented * AI in the Amazon SageMaker Developer Guide. *

*

* This API reference includes information about API actions and data types that you can use to interact with Amazon A2I * programmatically. Use this guide to: *

* *

* Amazon A2I integrates APIs from various AWS services to create and start human review workflows for those services. * To learn how Amazon A2I uses these APIs, see Use APIs in Amazon A2I in the * Amazon SageMaker Developer Guide. *

*/ package com.amazonaws.services.augmentedairuntime;