Class ModelMonitoringObjectiveSpec.DataDriftSpec

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec
All Implemented Interfaces:
ModelMonitoringObjectiveSpec.DataDriftSpecOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
Enclosing class:
ModelMonitoringObjectiveSpec

public static final class ModelMonitoringObjectiveSpec.DataDriftSpec extends com.google.protobuf.GeneratedMessage implements ModelMonitoringObjectiveSpec.DataDriftSpecOrBuilder
 Data drift monitoring spec.
 Data drift measures the distribution distance between the current dataset
 and a baseline dataset. A typical use case is to detect data drift between
 the recent production serving dataset and the training dataset, or to
 compare the recent production dataset with a dataset from a previous
 period.
 
Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.DataDriftSpec
See Also: