Struct aws_sdk_sagemaker::client::fluent_builders::StopTrainingJob

pub struct StopTrainingJob { /* private fields */ }

Fluent builder constructing a request to StopTrainingJob.

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

When it receives a StopTrainingJob request, SageMaker changes the status of the job to Stopping. After SageMaker stops the job, it sets the status to Stopped.

Implementations

impl StopTrainingJob

pub async fn customize(
    self
) -> Result<CustomizableOperation<StopTrainingJob, AwsResponseRetryClassifier>, SdkError<StopTrainingJobError>>

Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.

pub async fn send(
    self
) -> Result<StopTrainingJobOutput, SdkError<StopTrainingJobError>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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

The name of the training job to stop.

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

The name of the training job to stop.

Trait Implementations

impl Clone for StopTrainingJob

fn clone(&self) -> StopTrainingJob

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for StopTrainingJob

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

Formats the value using the given formatter.