Google Cloud Ai Platform V1 Client - Class ModelDeploymentMonitoringObjectiveType (1.2.0)

Version 1.2.0

• 1.9.0 (latest)
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.39.0
• 0.38.0
• 0.37.1
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.2
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.13.0
• 0.12.0
• 0.11.1
• 0.10.0

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

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

static::name

Parameter
Name	Description
value	mixed

static::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;