Class: Aws::SageMaker::Types::StoppingCondition
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::StoppingCondition
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Specifies a limit to how long a job can run. When the job reaches the time limit, SageMaker ends the job. Use this API to cap 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
.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#max_pending_time_in_seconds ⇒ Integer
The maximum length of time, in seconds, that a training or compilation job can be pending before it is stopped.
-
#max_runtime_in_seconds ⇒ Integer
The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
-
#max_wait_time_in_seconds ⇒ Integer
The maximum length of time, in seconds, that a managed Spot training job has to complete.
Instance Attribute Details
#max_pending_time_in_seconds ⇒ Integer
The maximum length of time, in seconds, that a training or compilation job can be pending before it is stopped.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 41730 class StoppingCondition < Struct.new( :max_runtime_in_seconds, :max_wait_time_in_seconds, :max_pending_time_in_seconds) SENSITIVE = [] include Aws::Structure end |
#max_runtime_in_seconds ⇒ Integer
The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
For compilation jobs, if the job does not complete during this time,
a TimeOut
error is generated. We recommend starting with 900
seconds and increasing as necessary based on your model.
For all other jobs, if the job does not complete during this time,
SageMaker ends the job. When RetryStrategy
is specified in the job
request, MaxRuntimeInSeconds
specifies the maximum time for all of
the attempts in total, not each individual attempt. The default
value is 1 day. The maximum value is 28 days.
The maximum time that a TrainingJob
can run in total, including
any time spent publishing metrics or archiving and uploading models
after it has been stopped, is 30 days.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 41730 class StoppingCondition < Struct.new( :max_runtime_in_seconds, :max_wait_time_in_seconds, :max_pending_time_in_seconds) SENSITIVE = [] include Aws::Structure end |
#max_wait_time_in_seconds ⇒ Integer
The maximum length of time, in seconds, that a managed Spot training
job has to complete. It is the amount of time spent waiting for Spot
capacity plus the amount of time the job can run. It must be equal
to or greater than MaxRuntimeInSeconds
. If the job does not
complete during this time, SageMaker ends the job.
When RetryStrategy
is specified in the job request,
MaxWaitTimeInSeconds
specifies the maximum time for all of the
attempts in total, not each individual attempt.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 41730 class StoppingCondition < Struct.new( :max_runtime_in_seconds, :max_wait_time_in_seconds, :max_pending_time_in_seconds) SENSITIVE = [] include Aws::Structure end |