aws_sdk_sagemaker/client/
update_training_job.rs

1// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
2impl super::Client {
3    /// Constructs a fluent builder for the [`UpdateTrainingJob`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder) operation.
4    ///
5    /// - The fluent builder is configurable:
6    ///   - [`training_job_name(impl Into<String>)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::training_job_name) / [`set_training_job_name(Option<String>)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::set_training_job_name):<br>required: **true**<br><p>The name of a training job to update the Debugger profiling configuration.</p><br>
7    ///   - [`profiler_config(ProfilerConfigForUpdate)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::profiler_config) / [`set_profiler_config(Option<ProfilerConfigForUpdate>)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::set_profiler_config):<br>required: **false**<br><p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.</p><br>
8    ///   - [`profiler_rule_configurations(ProfilerRuleConfiguration)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::profiler_rule_configurations) / [`set_profiler_rule_configurations(Option<Vec::<ProfilerRuleConfiguration>>)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::set_profiler_rule_configurations):<br>required: **false**<br><p>Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.</p><br>
9    ///   - [`resource_config(ResourceConfigForUpdate)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::resource_config) / [`set_resource_config(Option<ResourceConfigForUpdate>)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::set_resource_config):<br>required: **false**<br><p>The training job <code>ResourceConfig</code> to update warm pool retention length.</p><br>
10    ///   - [`remote_debug_config(RemoteDebugConfigForUpdate)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::remote_debug_config) / [`set_remote_debug_config(Option<RemoteDebugConfigForUpdate>)`](crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::set_remote_debug_config):<br>required: **false**<br><p>Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the <code>SecondaryStatus</code> of the job is <code>Downloading</code> or <code>Training</code>.To learn more about the remote debugging functionality of SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/train-remote-debugging.html">Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging</a>.</p><br>
11    /// - On success, responds with [`UpdateTrainingJobOutput`](crate::operation::update_training_job::UpdateTrainingJobOutput) with field(s):
12    ///   - [`training_job_arn(Option<String>)`](crate::operation::update_training_job::UpdateTrainingJobOutput::training_job_arn): <p>The Amazon Resource Name (ARN) of the training job.</p>
13    /// - On failure, responds with [`SdkError<UpdateTrainingJobError>`](crate::operation::update_training_job::UpdateTrainingJobError)
14    pub fn update_training_job(&self) -> crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder {
15        crate::operation::update_training_job::builders::UpdateTrainingJobFluentBuilder::new(self.handle.clone())
16    }
17}