Enum ModelDeploymentMonitoringObjectiveType (3.19.0)

Version 3.19.0

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public enum ModelDeploymentMonitoringObjectiveType extends Enum<ModelDeploymentMonitoringObjectiveType> implements ProtocolMessageEnum

The Model Monitoring Objective types.

Protobuf enum google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType

Implements

ProtocolMessageEnum

Inherited Members

Enum.<T>valueOf(Class<T>,String)

Enum.clone()

Enum.compareTo(E)

Enum.equals(Object)

Enum.finalize()

Enum.getDeclaringClass()

Enum.hashCode()

Enum.name()

Enum.ordinal()

Enum.toString()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields
Name	Description
FEATURE_ATTRIBUTION_DRIFT	Feature attribution scores to detect skew between Prediction datasets collected within different time windows. FEATURE_ATTRIBUTION_DRIFT = 4;
FEATURE_ATTRIBUTION_DRIFT_VALUE	Feature attribution scores to detect skew between Prediction datasets collected within different time windows. FEATURE_ATTRIBUTION_DRIFT = 4;
FEATURE_ATTRIBUTION_SKEW	Feature attribution scores to detect skew between Training-Prediction datasets. FEATURE_ATTRIBUTION_SKEW = 3;
FEATURE_ATTRIBUTION_SKEW_VALUE	Feature attribution scores to detect skew between Training-Prediction datasets. FEATURE_ATTRIBUTION_SKEW = 3;
MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED	Default value, should not be set. MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED = 0;
MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED_VALUE	Default value, should not be set. MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_TYPE_UNSPECIFIED = 0;
RAW_FEATURE_DRIFT	Raw feature values' stats to detect drift between Serving-Prediction datasets. RAW_FEATURE_DRIFT = 2;
RAW_FEATURE_DRIFT_VALUE	Raw feature values' stats to detect drift between Serving-Prediction datasets. RAW_FEATURE_DRIFT = 2;
RAW_FEATURE_SKEW	Raw feature values' stats to detect skew between Training-Prediction datasets. RAW_FEATURE_SKEW = 1;
RAW_FEATURE_SKEW_VALUE	Raw feature values' stats to detect skew between Training-Prediction datasets. RAW_FEATURE_SKEW = 1;
UNRECOGNIZED

Static Methods
Name	Description
forNumber(int value)
getDescriptor()
internalGetValueMap()
valueOf(Descriptors.EnumValueDescriptor desc)
valueOf(int value)	Deprecated. Use #forNumber(int) instead.
valueOf(String name)
values()

Methods
Name	Description
getDescriptorForType()
getNumber()
getValueDescriptor()