Struct GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec 

pub struct GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec {
    pub features: Option<Vec<String>>,
    pub categorical_metric_type: Option<String>,
    pub numeric_metric_type: Option<String>,
    pub default_numeric_alert_condition: Option<GoogleCloudAiplatformV1beta1ModelMonitoringAlertCondition>,
    pub default_categorical_alert_condition: Option<GoogleCloudAiplatformV1beta1ModelMonitoringAlertCondition>,
    pub feature_alert_conditions: Option<HashMap<String, GoogleCloudAiplatformV1beta1ModelMonitoringAlertCondition>>,
}

Data drift monitoring spec. Data drift measures the distribution distance between the current dataset and a baseline dataset. A typical use case is to detect data drift between the recent production serving dataset and the training dataset, or to compare the recent production dataset with a dataset from a previous period.

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

Fields

features: Option<Vec<String>>

Feature names / Prediction output names interested in monitoring. These should be a subset of the input feature names or prediction output names specified in the monitoring schema. If the field is not specified all features / prediction outputs outlied in the monitoring schema will be used.

categorical_metric_type: Option<String>

Supported metrics type: * l_infinity * jensen_shannon_divergence

numeric_metric_type: Option<String>

Supported metrics type: * jensen_shannon_divergence

default_numeric_alert_condition: Option<GoogleCloudAiplatformV1beta1ModelMonitoringAlertCondition>

Default alert condition for all the numeric features.

default_categorical_alert_condition: Option<GoogleCloudAiplatformV1beta1ModelMonitoringAlertCondition>

Default alert condition for all the categorical features.

feature_alert_conditions: Option<HashMap<String, GoogleCloudAiplatformV1beta1ModelMonitoringAlertCondition>>

Per feature alert condition will override default alert condition.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec

fn clone( &self, ) -> GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec

fn default() -> GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec

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 GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveSpecDataDriftSpec