* An array element of SecondaryStatusTransitions for DescribeTrainingJob. It provides additional details about a status that the training job has transitioned
* through. A training job can be in one of several states, for example, starting, downloading, training, or uploading.
* Within each state, there are a number of intermediate states. For example, within the starting state, SageMaker could
* be starting the training job or launching the ML instances. These transitional states are referred to as the job's
* secondary 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
*
* A timestamp that shows when the training job transitioned to the current secondary status state. *
*/ private java.util.Date startTime; /** ** 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. *
*/ private java.util.Date endTime; /** ** A detailed description of the progress within a secondary status. *
** 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 DescribeTrainingJob, 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
*
* 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 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
*
* 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 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
*
* 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 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
*
* 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 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
*
* A timestamp that shows when the training job transitioned to the current secondary status state. *
* * @param startTime * A timestamp that shows when the training job transitioned to the current secondary status state. */ public void setStartTime(java.util.Date startTime) { this.startTime = startTime; } /** ** A timestamp that shows when the training job transitioned to the current secondary status state. *
* * @return A timestamp that shows when the training job transitioned to the current secondary status state. */ public java.util.Date getStartTime() { return this.startTime; } /** ** A timestamp that shows when the training job transitioned to the current secondary status state. *
* * @param startTime * A timestamp that shows when the training job transitioned to the current secondary status state. * @return Returns a reference to this object so that method calls can be chained together. */ public SecondaryStatusTransition withStartTime(java.util.Date startTime) { setStartTime(startTime); return this; } /** ** 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. *
* * @param 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. */ public void setEndTime(java.util.Date endTime) { this.endTime = 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. *
* * @return 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. */ public java.util.Date getEndTime() { return this.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. *
* * @param 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. * @return Returns a reference to this object so that method calls can be chained together. */ public SecondaryStatusTransition withEndTime(java.util.Date endTime) { setEndTime(endTime); return this; } /** ** A detailed description of the progress within a secondary status. *
** 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 DescribeTrainingJob, 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
*
* 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 DescribeTrainingJob, 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
*
* A detailed description of the progress within a secondary status. *
** 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 DescribeTrainingJob, 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
*
* 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 DescribeTrainingJob, 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
*
* A detailed description of the progress within a secondary status. *
** 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 DescribeTrainingJob, 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
*
* 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 DescribeTrainingJob, 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
*