Struct aws_sdk_sagemaker::client::fluent_builders::StopTrainingJob

pub struct StopTrainingJob<C = DynConnector, M = AwsMiddleware, R = Standard> { /* fields omitted */ }

Fluent builder constructing a request to StopTrainingJob.

Stops a training job. To stop a job, Amazon 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, Amazon SageMaker changes the status of the job to Stopping. After Amazon SageMaker stops the job, it sets the status to Stopped.

Implementations

impl<C, M, R> StopTrainingJob<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub async fn send(
    self
) -> Result<StopTrainingJobOutput, SdkError<StopTrainingJobError>> where
    R::Policy: SmithyRetryPolicy<StopTrainingJobInputOperationOutputAlias, StopTrainingJobOutput, StopTrainingJobError, StopTrainingJobInputOperationRetryAlias>, 

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, inp: 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<C: Debug, M: Debug, R: Debug> Debug for StopTrainingJob<C, M, R>

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

Formats the value using the given formatter.