Interface CfnDataQualityJobDefinition.StoppingConditionProperty

All Superinterfaces:
software.amazon.jsii.JsiiSerializable
All Known Implementing Classes:
CfnDataQualityJobDefinition.StoppingConditionProperty.Jsii$Proxy
Enclosing class:
CfnDataQualityJobDefinition

@Stability(Stable) public static interface CfnDataQualityJobDefinition.StoppingConditionProperty extends software.amazon.jsii.JsiiSerializable
Specifies a limit to how long a model training job or model compilation job can run.

It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, SageMaker ends the training or compilation job. Use this API to cap model training costs.

To stop a training job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

The training algorithms provided by SageMaker automatically save the intermediate results of a model training job when possible. This attempt to save artifacts is only a best effort case as model might not be in a state from which it can be saved. For example, if training has just started, the model might not be ready to save. When saved, this intermediate data is a valid model artifact. You can use it to create a model with CreateModel .

The Neural Topic Model (NTM) currently does not support saving intermediate model artifacts. When training NTMs, make sure that the maximum runtime is sufficient for the training job to complete.

Example:

 // The code below shows an example of how to instantiate this type.
 // The values are placeholders you should change.
 import software.amazon.awscdk.services.sagemaker.*;
 StoppingConditionProperty stoppingConditionProperty = StoppingConditionProperty.builder()
         .maxRuntimeInSeconds(123)
         .build();
 

See Also: