Google Cloud Ai Platform V1 Client - Class ModelDeploymentMonitoringObjectiveType (0.15.0)

Version 0.15.0

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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ModelDeploymentMonitoringObjectiveType.

The Model Monitoring Objective types.

Protobuf type google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveType

Methods

name

Parameter
Name	Description
value	mixed

value

Parameter
Name	Description
name	mixed

Constants

MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED

Value: 0

Default value, should not be set.

Generated from protobuf enum MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED = 0;

RAW_FEATURE_SKEW

Value: 1

Raw feature values' stats to detect skew between Training-Prediction datasets.

Generated from protobuf enum RAW_FEATURE_SKEW = 1;

RAW_FEATURE_DRIFT

Value: 2

Raw feature values' stats to detect drift between Serving-Prediction datasets.

Generated from protobuf enum RAW_FEATURE_DRIFT = 2;

FEATURE_ATTRIBUTION_SKEW

Value: 3

Feature attribution scores to detect skew between Training-Prediction datasets.

Generated from protobuf enum FEATURE_ATTRIBUTION_SKEW = 3;

FEATURE_ATTRIBUTION_DRIFT

Value: 4

Feature attribution scores to detect skew between Prediction datasets collected within different time windows.

Generated from protobuf enum FEATURE_ATTRIBUTION_DRIFT = 4;