"documentation":"<p>Deletes the specified human loop for a flow definition.</p> <p>If the human loop was deleted, this operation will return a <code>ResourceNotFoundException</code>. </p>"
"documentation":"<p>Returns information about the specified human loop. If the human loop was deleted, this operation will return a <code>ResourceNotFoundException</code> error. </p>"
"documentation":"<p>Your request has the same name as another active human loop but has different input data. You cannot start two human loops with the same name and different input data.</p>",
"documentation":"<p>A failure code that identifies the type of failure.</p> <p>Possible values: <code>ValidationError</code>, <code>Expired</code>, <code>InternalError</code> </p>"
"documentation":"<p>The name of the human loop. The name must be lowercase, unique within the Region in your account, and can have up to 63 characters. Valid characters: a-z, 0-9, and - (hyphen).</p>"
"documentation":"<p>Declares that your content is free of personally identifiable information or adult content.</p> <p>Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this information.</p>"
"documentation":"<p>(Optional) The timestamp of the date when you want the human loops to begin in ISO 8601 format. For example, <code>2020-02-24</code>.</p>",
"documentation":"<p>(Optional) The timestamp of the date before which you want the human loops to begin in ISO 8601 format. For example, <code>2020-02-24</code>.</p>",
"documentation":"<p>The total number of items to return. If the total number of available items is more than the value specified in <code>MaxResults</code>, then a <code>NextToken</code> is returned in the output. You can use this token to display the next page of results. </p>",
"documentation":"<p>We couldn't find the requested resource. Check that your resources exists and were created in the same AWS Region as your request, and try your request again. </p>",
"documentation":"<p>You exceeded your service quota. Service quotas, also referred to as limits, are the maximum number of service resources or operations for your AWS account. For a list of Amazon A2I service quotes, see <a href=\"https://docs.aws.amazon.com/general/latest/gr/a2i.html\">Amazon Augmented AI Service Quotes</a>. Delete some resources or request an increase in your service quota. You can request a quota increase using Service Quotas or the AWS Support Center. To request an increase, see <a href=\"https://docs.aws.amazon.com/general/latest/gr/aws_service_limits.html\">AWS Service Quotas</a> in the <i>AWS General Reference</i>.</p>",
"documentation":"<p>Attributes of the specified data. Use <code>DataAttributes</code> to specify if your data is free of personally identifiable information and/or free of adult content.</p>"
"documentation":"<p>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 <i>worker task template</i>, a <i>flow definition</i>, and a <i>human loop</i>.</p> <p>For information about these resources and prerequisites for using Amazon A2I, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-getting-started.html\">Get Started with Amazon Augmented AI</a> in the Amazon SageMaker Developer Guide.</p> <p>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:</p> <ul> <li> <p>Start a human loop with the <code>StartHumanLoop</code> operation when using Amazon A2I with a <i>custom task type</i>. To learn more about the difference between custom and built-in task types, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-task-types-general.html\">Use Task Types </a>. To learn how to start a human loop using this API, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-start-human-loop.html#a2i-instructions-starthumanloop\">Create and Start a Human Loop for a Custom Task Type </a> in the Amazon SageMaker Developer Guide.</p> </li> <li> <p>Manage your human loops. You can list all human loops that you have created, describe individual human loops, and stop and delete human loops. To learn more, see <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-monitor-humanloop-results.html\">Monitor and Manage Your Human Loop </a> in the Amazon SageMaker Developer Guide.</p> </li> </ul> <p>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 <a href=\"https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-api-references.html\">Use APIs in Amazon A2I</a> in the Amazon SageMaker Developer Guide.</p>"