Class ModelDeploymentMonitoringObjectiveType (1.48.0)

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ModelDeploymentMonitoringObjectiveType(value)

The Model Monitoring Objective types.

Values: MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED (0): Default value, should not be set. RAW_FEATURE_SKEW (1): Raw feature values' stats to detect skew between Training-Prediction datasets. RAW_FEATURE_DRIFT (2): Raw feature values' stats to detect drift between Serving-Prediction datasets. FEATURE_ATTRIBUTION_SKEW (3): Feature attribution scores to detect skew between Training-Prediction datasets. FEATURE_ATTRIBUTION_DRIFT (4): Feature attribution scores to detect skew between Prediction datasets collected within different time windows.

Methods

ModelDeploymentMonitoringObjectiveType

ModelDeploymentMonitoringObjectiveType(value)

The Model Monitoring Objective types.

Values: MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED (0): Default value, should not be set. RAW_FEATURE_SKEW (1): Raw feature values' stats to detect skew between Training-Prediction datasets. RAW_FEATURE_DRIFT (2): Raw feature values' stats to detect drift between Serving-Prediction datasets. FEATURE_ATTRIBUTION_SKEW (3): Feature attribution scores to detect skew between Training-Prediction datasets. FEATURE_ATTRIBUTION_DRIFT (4): Feature attribution scores to detect skew between Prediction datasets collected within different time windows.