# RecommendationJobStoppingConditions
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Specifies conditions for stopping a job. When a job reaches a stopping condition limit, SageMaker ends the job.

## Contents
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 ** FlatInvocations **   <a name="sagemaker-Type-RecommendationJobStoppingConditions-FlatInvocations"></a>
Stops a load test when the number of invocations (TPS) peaks and flattens, which means that the instance has reached capacity. The default value is `Stop`. If you want the load test to continue after invocations have flattened, set the value to `Continue`.  
Type: String  
Valid Values: `Continue | Stop`   
Required: No

 ** MaxInvocations **   <a name="sagemaker-Type-RecommendationJobStoppingConditions-MaxInvocations"></a>
The maximum number of requests per minute expected for the endpoint.  
Type: Integer  
Required: No

 ** ModelLatencyThresholds **   <a name="sagemaker-Type-RecommendationJobStoppingConditions-ModelLatencyThresholds"></a>
The interval of time taken by a model to respond as viewed from SageMaker. The interval includes the local communication time taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.  
Type: Array of [ModelLatencyThreshold](API_ModelLatencyThreshold.md) objects  
Array Members: Fixed number of 1 item.  
Required: No

## See Also
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For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\$1\$1](https://docs.aws.amazon.com/goto/SdkForCpp/sagemaker-2017-07-24/RecommendationJobStoppingConditions) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/sagemaker-2017-07-24/RecommendationJobStoppingConditions) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/sagemaker-2017-07-24/RecommendationJobStoppingConditions)