Struct GoogleCloudAiplatformV1StudySpec

pub struct GoogleCloudAiplatformV1StudySpec {
    pub convex_automated_stopping_spec: Option<GoogleCloudAiplatformV1StudySpecConvexAutomatedStoppingSpec>,
    pub measurement_selection_type: Option<String>,
    pub metrics: Option<Vec<GoogleCloudAiplatformV1StudySpecMetricSpec>>,
    pub parameters: Option<Vec<GoogleCloudAiplatformV1StudySpecParameterSpec>>,
    pub decay_curve_stopping_spec: Option<GoogleCloudAiplatformV1StudySpecDecayCurveAutomatedStoppingSpec>,
    pub median_automated_stopping_spec: Option<GoogleCloudAiplatformV1StudySpecMedianAutomatedStoppingSpec>,
    pub study_stopping_config: Option<GoogleCloudAiplatformV1StudySpecStudyStoppingConfig>,
    pub algorithm: Option<String>,
    pub observation_noise: Option<String>,
}

Represents specification of a Study.

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

Fields

convex_automated_stopping_spec: Option<GoogleCloudAiplatformV1StudySpecConvexAutomatedStoppingSpec>

The automated early stopping spec using convex stopping rule.

measurement_selection_type: Option<String>

Describe which measurement selection type will be used

metrics: Option<Vec<GoogleCloudAiplatformV1StudySpecMetricSpec>>

Required. Metric specs for the Study.

parameters: Option<Vec<GoogleCloudAiplatformV1StudySpecParameterSpec>>

Required. The set of parameters to tune.

decay_curve_stopping_spec: Option<GoogleCloudAiplatformV1StudySpecDecayCurveAutomatedStoppingSpec>

The automated early stopping spec using decay curve rule.

median_automated_stopping_spec: Option<GoogleCloudAiplatformV1StudySpecMedianAutomatedStoppingSpec>

The automated early stopping spec using median rule.

study_stopping_config: Option<GoogleCloudAiplatformV1StudySpecStudyStoppingConfig>

Conditions for automated stopping of a Study. Enable automated stopping by configuring at least one condition.

algorithm: Option<String>

The search algorithm specified for the Study.

observation_noise: Option<String>

The observation noise level of the study. Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1StudySpec

fn clone(&self) -> GoogleCloudAiplatformV1StudySpec

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1StudySpec

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1StudySpec

fn default() -> GoogleCloudAiplatformV1StudySpec

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1StudySpec

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1StudySpec

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 GoogleCloudAiplatformV1StudySpec