Struct GoogleCloudAiplatformV1FeatureStatsAnomaly 

pub struct GoogleCloudAiplatformV1FeatureStatsAnomaly {
    pub score: Option<f64>,
    pub stats_uri: Option<String>,
    pub end_time: Option<DateTime<Utc>>,
    pub anomaly_detection_threshold: Option<f64>,
    pub distribution_deviation: Option<f64>,
    pub anomaly_uri: Option<String>,
    pub start_time: Option<DateTime<Utc>>,
}

Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display.

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

Fields

score: Option<f64>

Feature importance score, only populated when cross-feature monitoring is enabled. For now only used to represent feature attribution score within range [0, 1] for ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW and ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT.

stats_uri: Option<String>

Path of the stats file for current feature values in Cloud Storage bucket. Format: gs:////stats. Example: gs://monitoring_bucket/feature_name/stats. Stats are stored as binary format with Protobuf message tensorflow.metadata.v0.FeatureNameStatistics.

end_time: Option<DateTime<Utc>>

The end timestamp of window where stats were generated. For objectives where time window doesn’t make sense (e.g. Featurestore Snapshot Monitoring), end_time indicates the timestamp of the data used to generate stats (e.g. timestamp we take snapshots for feature values).

anomaly_detection_threshold: Option<f64>

This is the threshold used when detecting anomalies. The threshold can be changed by user, so this one might be different from ThresholdConfig.value.

distribution_deviation: Option<f64>

Deviation from the current stats to baseline stats. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence.

anomaly_uri: Option<String>

Path of the anomaly file for current feature values in Cloud Storage bucket. Format: gs:////anomalies. Example: gs://monitoring_bucket/feature_name/anomalies. Stats are stored as binary format with Protobuf message Anoamlies are stored as binary format with Protobuf message [tensorflow.metadata.v0.AnomalyInfo] (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto).

start_time: Option<DateTime<Utc>>

The start timestamp of window where stats were generated. For objectives where time window doesn’t make sense (e.g. Featurestore Snapshot Monitoring), start_time is only used to indicate the monitoring intervals, so it always equals to (end_time - monitoring_interval).

Trait Implementations

impl Clone for GoogleCloudAiplatformV1FeatureStatsAnomaly

fn clone(&self) -> GoogleCloudAiplatformV1FeatureStatsAnomaly

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1FeatureStatsAnomaly

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

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1FeatureStatsAnomaly

fn default() -> GoogleCloudAiplatformV1FeatureStatsAnomaly

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1FeatureStatsAnomaly

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1FeatureStatsAnomaly

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 GoogleCloudAiplatformV1FeatureStatsAnomaly