Struct aws_sdk_sagemaker::client::fluent_builders::UpdateTrainingJob

pub struct UpdateTrainingJob { /* private fields */ }

Fluent builder constructing a request to UpdateTrainingJob.

Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.

Implementations

impl UpdateTrainingJob

pub async fn customize(
    self
) -> Result<CustomizableOperation<UpdateTrainingJob, AwsResponseRetryClassifier>, SdkError<UpdateTrainingJobError>>

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<UpdateTrainingJobOutput, SdkError<UpdateTrainingJobError>>

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 a training job to update the Debugger profiling configuration.

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

The name of a training job to update the Debugger profiling configuration.

pub fn profiler_config(self, input: ProfilerConfigForUpdate) -> Self

Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.

pub fn set_profiler_config(self, input: Option<ProfilerConfigForUpdate>) -> Self

Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.

pub fn profiler_rule_configurations(
    self,
    input: ProfilerRuleConfiguration
) -> Self

Appends an item to ProfilerRuleConfigurations.

To override the contents of this collection use set_profiler_rule_configurations.

Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.

pub fn set_profiler_rule_configurations(
    self,
    input: Option<Vec<ProfilerRuleConfiguration>>
) -> Self

Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.

pub fn resource_config(self, input: ResourceConfigForUpdate) -> Self

The training job ResourceConfig to update warm pool retention length.

pub fn set_resource_config(self, input: Option<ResourceConfigForUpdate>) -> Self

The training job ResourceConfig to update warm pool retention length.

Trait Implementations

impl Clone for UpdateTrainingJob

fn clone(&self) -> UpdateTrainingJob

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateTrainingJob

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

Formats the value using the given formatter.