Struct aws_sdk_sagemaker::types::AutoMlJobCompletionCriteria

#[non_exhaustive]
pub struct AutoMlJobCompletionCriteria {
    pub max_candidates: Option<i32>,
    pub max_runtime_per_training_job_in_seconds: Option<i32>,
    pub max_auto_ml_job_runtime_in_seconds: Option<i32>,
}

How long a job is allowed to run, or how many candidates a job is allowed to generate.

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.

max_candidates: Option<i32>

The maximum number of times a training job is allowed to run.

For text and image classification, time-series forecasting, as well as text generation (LLMs fine-tuning) problem types, the supported value is 1. For tabular problem types, the maximum value is 750.

max_runtime_per_training_job_in_seconds: Option<i32>

The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the StoppingCondition used by the CreateHyperParameterTuningJob action.

For job V2s (jobs created by calling CreateAutoMLJobV2), this field controls the runtime of the job candidate.

max_auto_ml_job_runtime_in_seconds: Option<i32>

The maximum runtime, in seconds, an AutoML job has to complete.

If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, are not completed.

Implementations

impl AutoMlJobCompletionCriteria

pub fn max_candidates(&self) -> Option<i32>

The maximum number of times a training job is allowed to run.

For text and image classification, time-series forecasting, as well as text generation (LLMs fine-tuning) problem types, the supported value is 1. For tabular problem types, the maximum value is 750.

pub fn max_runtime_per_training_job_in_seconds(&self) -> Option<i32>

The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the StoppingCondition used by the CreateHyperParameterTuningJob action.

For job V2s (jobs created by calling CreateAutoMLJobV2), this field controls the runtime of the job candidate.

pub fn max_auto_ml_job_runtime_in_seconds(&self) -> Option<i32>

The maximum runtime, in seconds, an AutoML job has to complete.

If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, are not completed.

impl AutoMlJobCompletionCriteria

pub fn builder() -> AutoMlJobCompletionCriteriaBuilder

Creates a new builder-style object to manufacture AutoMlJobCompletionCriteria.

Trait Implementations

impl Clone for AutoMlJobCompletionCriteria

fn clone(&self) -> AutoMlJobCompletionCriteria

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AutoMlJobCompletionCriteria

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

Formats the value using the given formatter.

impl PartialEq for AutoMlJobCompletionCriteria

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for AutoMlJobCompletionCriteria