Google Cloud Ai Platform V1 Client - Class ModelDeploymentMonitoringObjectiveType (0.13.0)
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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
Parameter |
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Name | Description |
value |
mixed
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Parameter |
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Name | Description |
name |
mixed
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Constants
Default value, should not be set.
Generated from protobuf enum MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED = 0;
Raw feature values' stats to detect skew between Training-Prediction
datasets.
Generated from protobuf enum RAW_FEATURE_SKEW = 1;
Raw feature values' stats to detect drift between Serving-Prediction
datasets.
Generated from protobuf enum RAW_FEATURE_DRIFT = 2;
Feature attribution scores to detect skew between Training-Prediction
datasets.
Generated from protobuf enum FEATURE_ATTRIBUTION_SKEW = 3;
Feature attribution scores to detect skew between Prediction datasets
collected within different time windows.
Generated from protobuf enum FEATURE_ATTRIBUTION_DRIFT = 4;
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Last updated 2024-09-24 UTC.
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{"lastModified": "Last updated 2024-09-24 UTC."}
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