Package software.amazon.awscdk.services.stepfunctions.tasks

Interface StoppingCondition

All Superinterfaces:
software.amazon.jsii.JsiiSerializable
All Known Implementing Classes:
StoppingCondition.Jsii$Proxy
@Generated(value="jsii-pacmak/1.118.0 (build 02eec31)", date="2025-11-04T09:27:51.709Z") @Stability(Stable) public interface StoppingCondition extends software.amazon.jsii.JsiiSerializable
Specifies a limit to how long a model training job can run.

When the job reaches the time limit, Amazon SageMaker ends the training job.

Example: 

 SageMakerCreateTrainingJob.Builder.create(this, "TrainSagemaker")
         .trainingJobName(JsonPath.stringAt("$.JobName"))
         .algorithmSpecification(AlgorithmSpecification.builder()
                 .algorithmName("BlazingText")
                 .trainingInputMode(InputMode.FILE)
                 .build())
         .inputDataConfig(List.of(Channel.builder()
                 .channelName("train")
                 .dataSource(DataSource.builder()
                         .s3DataSource(S3DataSource.builder()
                                 .s3DataType(S3DataType.S3_PREFIX)
                                 .s3Location(S3Location.fromJsonExpression("$.S3Bucket"))
                                 .build())
                         .build())
                 .build()))
         .outputDataConfig(OutputDataConfig.builder()
                 .s3OutputLocation(S3Location.fromBucket(Bucket.fromBucketName(this, "Bucket", "amzn-s3-demo-bucket"), "myoutputpath"))
                 .build())
         .resourceConfig(ResourceConfig.builder()
                 .instanceCount(1)
                 .instanceType(new InstanceType(JsonPath.stringAt("$.InstanceType")))
                 .volumeSize(Size.gibibytes(50))
                 .build()) // optional: default is 1 instance of EC2 `M4.XLarge` with `10GB` volume
         .stoppingCondition(StoppingCondition.builder()
                 .maxRuntime(Duration.hours(2))
                 .build())
         .build();