Struct UpdateTrainingJobInput

#[non_exhaustive]
pub struct UpdateTrainingJobInput {
    pub training_job_name: Option<String>,
    pub profiler_config: Option<ProfilerConfigForUpdate>,
    pub profiler_rule_configurations: Option<Vec<ProfilerRuleConfiguration>>,
    pub resource_config: Option<ResourceConfigForUpdate>,
    pub remote_debug_config: Option<RemoteDebugConfigForUpdate>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

training_job_name: Option<String>

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

profiler_config: Option<ProfilerConfigForUpdate>

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

profiler_rule_configurations: Option<Vec<ProfilerRuleConfiguration>>

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

resource_config: Option<ResourceConfigForUpdate>

The training job ResourceConfig to update warm pool retention length.

remote_debug_config: Option<RemoteDebugConfigForUpdate>

Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the SecondaryStatus of the job is Downloading or Training.To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.

Implementations

impl UpdateTrainingJobInput

pub fn training_job_name(&self) -> Option<&str>

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

pub fn profiler_config(&self) -> Option<&ProfilerConfigForUpdate>

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

pub fn profiler_rule_configurations(&self) -> &[ProfilerRuleConfiguration]

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .profiler_rule_configurations.is_none().

pub fn resource_config(&self) -> Option<&ResourceConfigForUpdate>

The training job ResourceConfig to update warm pool retention length.

pub fn remote_debug_config(&self) -> Option<&RemoteDebugConfigForUpdate>

Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the SecondaryStatus of the job is Downloading or Training.To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.

impl UpdateTrainingJobInput

pub fn builder() -> UpdateTrainingJobInputBuilder

Creates a new builder-style object to manufacture UpdateTrainingJobInput.

Trait Implementations

impl Clone for UpdateTrainingJobInput

fn clone(&self) -> UpdateTrainingJobInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateTrainingJobInput

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

Formats the value using the given formatter.

impl PartialEq for UpdateTrainingJobInput

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for UpdateTrainingJobInput