Class GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigPredictionDriftDetectionConfig
The config for Prediction data drift detection.
Inheritance
GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigPredictionDriftDetectionConfig
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigPredictionDriftDetectionConfig : IDirectResponseSchema
Properties
AttributionScoreDriftThresholds
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.
Declaration
[JsonProperty("attributionScoreDriftThresholds")]
public virtual IDictionary<string, GoogleCloudAiplatformV1ThresholdConfig> AttributionScoreDriftThresholds { get; set; }
Property Value
Type | Description |
---|---|
IDictionary<string, GoogleCloudAiplatformV1ThresholdConfig> |
DefaultDriftThreshold
Drift anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
Declaration
[JsonProperty("defaultDriftThreshold")]
public virtual GoogleCloudAiplatformV1ThresholdConfig DefaultDriftThreshold { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1ThresholdConfig |
DriftThresholds
Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.
Declaration
[JsonProperty("driftThresholds")]
public virtual IDictionary<string, GoogleCloudAiplatformV1ThresholdConfig> DriftThresholds { get; set; }
Property Value
Type | Description |
---|---|
IDictionary<string, GoogleCloudAiplatformV1ThresholdConfig> |
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
string |