Struct ModelMonitoringStatsAnomalies 

#[non_exhaustive]
pub struct ModelMonitoringStatsAnomalies {
    pub objective: ModelDeploymentMonitoringObjectiveType,
    pub deployed_model_id: String,
    pub anomaly_count: i32,
    pub feature_stats: Vec<FeatureHistoricStatsAnomalies>,
    /* private fields */
}

Available on crate feature job-service only.

Statistics and anomalies generated by Model Monitoring.

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.

objective: ModelDeploymentMonitoringObjectiveType

Model Monitoring Objective those stats and anomalies belonging to.

deployed_model_id: String

Deployed Model ID.

anomaly_count: i32

Number of anomalies within all stats.

feature_stats: Vec<FeatureHistoricStatsAnomalies>

A list of historical Stats and Anomalies generated for all Features.

Implementations

impl ModelMonitoringStatsAnomalies

pub fn new() -> Self

pub fn set_objective<T: Into<ModelDeploymentMonitoringObjectiveType>>( self, v: T, ) -> Self

Sets the value of objective.

Example

use google_cloud_aiplatform_v1::model::ModelDeploymentMonitoringObjectiveType;
let x0 = ModelMonitoringStatsAnomalies::new().set_objective(ModelDeploymentMonitoringObjectiveType::RawFeatureSkew);
let x1 = ModelMonitoringStatsAnomalies::new().set_objective(ModelDeploymentMonitoringObjectiveType::RawFeatureDrift);
let x2 = ModelMonitoringStatsAnomalies::new().set_objective(ModelDeploymentMonitoringObjectiveType::FeatureAttributionSkew);

pub fn set_deployed_model_id<T: Into<String>>(self, v: T) -> Self

Sets the value of deployed_model_id.

Example

let x = ModelMonitoringStatsAnomalies::new().set_deployed_model_id("example");

pub fn set_anomaly_count<T: Into<i32>>(self, v: T) -> Self

Sets the value of anomaly_count.

Example

let x = ModelMonitoringStatsAnomalies::new().set_anomaly_count(42);

pub fn set_feature_stats<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<FeatureHistoricStatsAnomalies>,

Sets the value of feature_stats.

Example

use google_cloud_aiplatform_v1::model::model_monitoring_stats_anomalies::FeatureHistoricStatsAnomalies;
let x = ModelMonitoringStatsAnomalies::new()
    .set_feature_stats([
        FeatureHistoricStatsAnomalies::default()/* use setters */,
        FeatureHistoricStatsAnomalies::default()/* use (different) setters */,
    ]);

Trait Implementations

impl Clone for ModelMonitoringStatsAnomalies

fn clone(&self) -> ModelMonitoringStatsAnomalies

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ModelMonitoringStatsAnomalies

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

Formats the value using the given formatter.

impl Default for ModelMonitoringStatsAnomalies

fn default() -> ModelMonitoringStatsAnomalies

Returns the “default value” for a type.

impl Message for ModelMonitoringStatsAnomalies

fn typename() -> &'static str

The typename of this message.

impl PartialEq for ModelMonitoringStatsAnomalies

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

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

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 ModelMonitoringStatsAnomalies