Package com.google.cloud.aiplatform.v1

Interface ModelMonitoringObjectiveConfigOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ModelMonitoringObjectiveConfig, ModelMonitoringObjectiveConfig.Builder

public interface ModelMonitoringObjectiveConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method	Description
ModelMonitoringObjectiveConfig.ExplanationConfig	getExplanationConfig()	The config for integrating with Vertex Explainable AI.
ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder	getExplanationConfigOrBuilder()	The config for integrating with Vertex Explainable AI.
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig	getPredictionDriftDetectionConfig()	The config for drift of prediction data.
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder	getPredictionDriftDetectionConfigOrBuilder()	The config for drift of prediction data.
ModelMonitoringObjectiveConfig.TrainingDataset	getTrainingDataset()	Training dataset for models.
ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder	getTrainingDatasetOrBuilder()	Training dataset for models.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	getTrainingPredictionSkewDetectionConfig()	The config for skew between training data and prediction data.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder	getTrainingPredictionSkewDetectionConfigOrBuilder()	The config for skew between training data and prediction data.
boolean	hasExplanationConfig()	The config for integrating with Vertex Explainable AI.
boolean	hasPredictionDriftDetectionConfig()	The config for drift of prediction data.
boolean	hasTrainingDataset()	Training dataset for models.
boolean	hasTrainingPredictionSkewDetectionConfig()	The config for skew between training data and prediction data.

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Method Detail

hasTrainingDataset

boolean hasTrainingDataset()

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

Returns:

Whether the trainingDataset field is set.

getTrainingDataset

ModelMonitoringObjectiveConfig.TrainingDataset getTrainingDataset()

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

Returns:

The trainingDataset.

getTrainingDatasetOrBuilder

ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder getTrainingDatasetOrBuilder()

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

hasTrainingPredictionSkewDetectionConfig

boolean hasTrainingPredictionSkewDetectionConfig()

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

Returns:

Whether the trainingPredictionSkewDetectionConfig field is set.

getTrainingPredictionSkewDetectionConfig

ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getTrainingPredictionSkewDetectionConfig()

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

Returns:

The trainingPredictionSkewDetectionConfig.

getTrainingPredictionSkewDetectionConfigOrBuilder

ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder getTrainingPredictionSkewDetectionConfigOrBuilder()

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

hasPredictionDriftDetectionConfig

boolean hasPredictionDriftDetectionConfig()

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

Returns:

Whether the predictionDriftDetectionConfig field is set.

getPredictionDriftDetectionConfig

ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getPredictionDriftDetectionConfig()

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

Returns:

The predictionDriftDetectionConfig.

getPredictionDriftDetectionConfigOrBuilder

ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder getPredictionDriftDetectionConfigOrBuilder()

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

hasExplanationConfig

boolean hasExplanationConfig()

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

Returns:

Whether the explanationConfig field is set.

getExplanationConfig

ModelMonitoringObjectiveConfig.ExplanationConfig getExplanationConfig()

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

Returns:

The explanationConfig.

getExplanationConfigOrBuilder

ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder getExplanationConfigOrBuilder()

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;