Struct aws_sdk_sagemaker::model::secondary_status_transition::Builder

#[non_exhaustive]
pub struct Builder { /* fields omitted */ }

A builder for SecondaryStatusTransition

Implementations

impl Builder

pub fn status(self, input: SecondaryStatus) -> Self

Contains a secondary status information from a training job.

Status might be one of the following secondary statuses:

InProgress

• 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

• Completed - The training job has completed.

Failed

• Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.

Stopped

• MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.

• Stopped - The training job has stopped.

Stopping

• Stopping - Stopping the training job.

We no longer support the following secondary statuses:

• LaunchingMLInstances

• PreparingTrainingStack

• DownloadingTrainingImage

pub fn set_status(self, input: Option<SecondaryStatus>) -> Self

Contains a secondary status information from a training job.

Status might be one of the following secondary statuses:

InProgress

• 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

• Completed - The training job has completed.

Failed

• Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.

Stopped

• MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.

• Stopped - The training job has stopped.

Stopping

• Stopping - Stopping the training job.

We no longer support the following secondary statuses:

• LaunchingMLInstances

• PreparingTrainingStack

• DownloadingTrainingImage

pub fn start_time(self, input: Instant) -> Self

A timestamp that shows when the training job transitioned to the current secondary status state.

pub fn set_start_time(self, input: Option<Instant>) -> Self

A timestamp that shows when the training job transitioned to the current secondary status state.

pub fn end_time(self, input: Instant) -> Self

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.

pub fn set_end_time(self, input: Option<Instant>) -> Self

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.

pub fn status_message(self, input: impl Into<String>) -> Self

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

• 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.

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

pub fn set_status_message(self, input: Option<String>) -> Self

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

• 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.

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

pub fn build(self) -> SecondaryStatusTransition

Consumes the builder and constructs a SecondaryStatusTransition

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Builder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

fn eq(&self, other: &Builder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Builder) -> bool

This method tests for !=.

impl StructuralPartialEq for Builder