public static interface SecondaryStatusTransition.Builder extends SdkPojo, CopyableBuilder<SecondaryStatusTransition.Builder,SecondaryStatusTransition>
| Modifier and Type | Method and Description |
|---|---|
SecondaryStatusTransition.Builder |
endTime(Instant endTime)
A timestamp that shows when the training job transitioned out of this secondary status state into another
secondary status state or when the training job has ended.
|
SecondaryStatusTransition.Builder |
startTime(Instant startTime)
A timestamp that shows when the training job transitioned to the current secondary status state.
|
SecondaryStatusTransition.Builder |
status(SecondaryStatus status)
Contains a secondary status information from a training job.
|
SecondaryStatusTransition.Builder |
status(String status)
Contains a secondary status information from a training job.
|
SecondaryStatusTransition.Builder |
statusMessage(String statusMessage)
A detailed description of the progress within a secondary status.
|
copyapplyMutation, buildSecondaryStatusTransition.Builder status(String status)
Contains a secondary status information from a training job.
Status might be one of the following secondary statuses:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training input
mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the
FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
status - Contains a secondary status information from a training job.
Status might be one of the following secondary statuses:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training
input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3
location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the
FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
SecondaryStatus,
SecondaryStatusSecondaryStatusTransition.Builder status(SecondaryStatus status)
Contains a secondary status information from a training job.
Status might be one of the following secondary statuses:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training input
mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the
FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
status - Contains a secondary status information from a training job.
Status might be one of the following secondary statuses:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training
input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3
location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the
FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
SecondaryStatus,
SecondaryStatusSecondaryStatusTransition.Builder startTime(Instant startTime)
A timestamp that shows when the training job transitioned to the current secondary status state.
startTime - A timestamp that shows when the training job transitioned to the current secondary status state.SecondaryStatusTransition.Builder endTime(Instant endTime)
A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.
endTime - A timestamp that shows when the training job transitioned out of this secondary status state into
another secondary status state or when the training job has ended.SecondaryStatusTransition.Builder statusMessage(String statusMessage)
A detailed description of the progress within a secondary status.
Amazon SageMaker provides secondary statuses and status messages that apply to each of them:
Starting the training job.
Launching requested ML instances.
Insufficient capacity error from EC2 while launching instances, retrying!
Launched instance was unhealthy, replacing it!
Preparing the instances for training.
Downloading the training image.
Training image download completed. Training in progress.
Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don't use status messages in if statements.
To have an overview of your training job's progress, view TrainingJobStatus and
SecondaryStatus in DescribeTrainingJobResponse, and StatusMessage together.
For example, at the start of a training job, you might see the following:
TrainingJobStatus - InProgress
SecondaryStatus - Training
StatusMessage - Downloading the training image
statusMessage - A detailed description of the progress within a secondary status.
Amazon SageMaker provides secondary statuses and status messages that apply to each of them:
Starting the training job.
Launching requested ML instances.
Insufficient capacity error from EC2 while launching instances, retrying!
Launched instance was unhealthy, replacing it!
Preparing the instances for training.
Downloading the training image.
Training image download completed. Training in progress.
Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don't use status messages in if statements.
To have an overview of your training job's progress, view TrainingJobStatus and
SecondaryStatus in DescribeTrainingJobResponse, and StatusMessage
together. For example, at the start of a training job, you might see the following:
TrainingJobStatus - InProgress
SecondaryStatus - Training
StatusMessage - Downloading the training image
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