Class ModelDeploymentMonitoringObjectiveType (1.50.0)

Version 1.50.0

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ModelDeploymentMonitoringObjectiveType(value)

The Model Monitoring Objective types.

Enum 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.

Enum 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.