Struct GoogleCloudAiplatformV1StudySpecStudyStoppingConfig

pub struct GoogleCloudAiplatformV1StudySpecStudyStoppingConfig {
    pub should_stop_asap: Option<bool>,
    pub min_num_trials: Option<i32>,
    pub minimum_runtime_constraint: Option<GoogleCloudAiplatformV1StudyTimeConstraint>,
    pub max_duration_no_progress: Option<Duration>,
    pub max_num_trials_no_progress: Option<i32>,
    pub max_num_trials: Option<i32>,
    pub maximum_runtime_constraint: Option<GoogleCloudAiplatformV1StudyTimeConstraint>,
}

The configuration (stopping conditions) for automated stopping of a Study. Conditions include trial budgets, time budgets, and convergence detection.

This type is not used in any activity, and only used as part of another schema.

Fields

should_stop_asap: Option<bool>

If true, a Study enters STOPPING_ASAP whenever it would normally enters STOPPING state. The bottom line is: set to true if you want to interrupt on-going evaluations of Trials as soon as the study stopping condition is met. (Please see Study.State documentation for the source of truth).

min_num_trials: Option<i32>

If there are fewer than this many COMPLETED trials, do not stop the study.

minimum_runtime_constraint: Option<GoogleCloudAiplatformV1StudyTimeConstraint>

Each “stopping rule” in this proto specifies an “if” condition. Before Vizier would generate a new suggestion, it first checks each specified stopping rule, from top to bottom in this list. Note that the first few rules (e.g. minimum_runtime_constraint, min_num_trials) will prevent other stopping rules from being evaluated until they are met. For example, setting min_num_trials=5 and always_stop_after= 1 hour means that the Study will ONLY stop after it has 5 COMPLETED trials, even if more than an hour has passed since its creation. It follows the first applicable rule (whose “if” condition is satisfied) to make a stopping decision. If none of the specified rules are applicable, then Vizier decides that the study should not stop. If Vizier decides that the study should stop, the study enters STOPPING state (or STOPPING_ASAP if should_stop_asap = true). IMPORTANT: The automatic study state transition happens precisely as described above; that is, deleting trials or updating StudyConfig NEVER automatically moves the study state back to ACTIVE. If you want to resume a Study that was stopped, 1) change the stopping conditions if necessary, 2) activate the study, and then 3) ask for suggestions. If the specified time or duration has not passed, do not stop the study.

max_duration_no_progress: Option<Duration>

If the objective value has not improved for this much time, stop the study. WARNING: Effective only for single-objective studies.

max_num_trials_no_progress: Option<i32>

If the objective value has not improved for this many consecutive trials, stop the study. WARNING: Effective only for single-objective studies.

max_num_trials: Option<i32>

If there are more than this many trials, stop the study.

maximum_runtime_constraint: Option<GoogleCloudAiplatformV1StudyTimeConstraint>

If the specified time or duration has passed, stop the study.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1StudySpecStudyStoppingConfig

fn clone(&self) -> GoogleCloudAiplatformV1StudySpecStudyStoppingConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1StudySpecStudyStoppingConfig

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1StudySpecStudyStoppingConfig

fn default() -> GoogleCloudAiplatformV1StudySpecStudyStoppingConfig

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1StudySpecStudyStoppingConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1StudySpecStudyStoppingConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for GoogleCloudAiplatformV1StudySpecStudyStoppingConfig