NAME

Paws::SageMaker::StoppingCondition

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::SageMaker::StoppingCondition object:

$service_obj->Method(Att1 => { MaxRuntimeInSeconds => $value, ..., MaxRuntimeInSeconds => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::StoppingCondition object:

$result = $service_obj->Method(...);
$result->Att1->MaxRuntimeInSeconds

DESCRIPTION

Specifies how long model training can run. When model training reaches the limit, Amazon SageMaker ends the training job. Use this API to cap model training cost.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of training is not lost.

Training algorithms provided by Amazon SageMaker automatically saves the intermediate results of a model training job (it is best effort case, as model might not be ready to save as some stages, for example training just started). This intermediate data is a valid model artifact. You can use it to create a model (CreateModel).

ATTRIBUTES

MaxRuntimeInSeconds => Int

The maximum length of time, in seconds, that the training job can run.
If model training does not complete during this time, Amazon SageMaker
ends the job. If value is not specified, default value is 1 day.
Maximum value is 28 days.

SEE ALSO

This class forms part of Paws, describing an object used in Paws::SageMaker

BUGS and CONTRIBUTIONS

The source code is located here: https://github.com/pplu/aws-sdk-perl

Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues