Interface ModelMonitoringObjectiveConfigOrBuilder (3.52.0)

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public interface ModelMonitoringObjectiveConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getExplanationConfig()

public abstract ModelMonitoringObjectiveConfig.ExplanationConfig getExplanationConfig()

The config for integrating with Vertex Explainable AI.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig	The explanationConfig.

getExplanationConfigOrBuilder()

public abstract ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder getExplanationConfigOrBuilder()

The config for integrating with Vertex Explainable AI.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder

getPredictionDriftDetectionConfig()

public abstract ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getPredictionDriftDetectionConfig()

The config for drift of prediction data.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

Returns
Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig	The predictionDriftDetectionConfig.

getPredictionDriftDetectionConfigOrBuilder()

public abstract ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder getPredictionDriftDetectionConfigOrBuilder()

The config for drift of prediction data.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

Returns
Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder

getTrainingDataset()

public abstract ModelMonitoringObjectiveConfig.TrainingDataset getTrainingDataset()

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

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

Returns
Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset	The trainingDataset.

getTrainingDatasetOrBuilder()

public abstract ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder getTrainingDatasetOrBuilder()

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

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

Returns
Type	Description
ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

getTrainingPredictionSkewDetectionConfig()

public abstract ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getTrainingPredictionSkewDetectionConfig()

The config for skew between training data and prediction data.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

Returns
Type	Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	The trainingPredictionSkewDetectionConfig.

getTrainingPredictionSkewDetectionConfigOrBuilder()

public abstract ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder getTrainingPredictionSkewDetectionConfigOrBuilder()

The config for skew between training data and prediction data.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

Returns
Type	Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

hasExplanationConfig()

public abstract boolean hasExplanationConfig()

The config for integrating with Vertex Explainable AI.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

Returns
Type	Description
boolean	Whether the explanationConfig field is set.

hasPredictionDriftDetectionConfig()

public abstract boolean hasPredictionDriftDetectionConfig()

The config for drift of prediction data.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

Returns
Type	Description
boolean	Whether the predictionDriftDetectionConfig field is set.

hasTrainingDataset()

public abstract boolean hasTrainingDataset()

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

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

Returns
Type	Description
boolean	Whether the trainingDataset field is set.

hasTrainingPredictionSkewDetectionConfig()

public abstract boolean hasTrainingPredictionSkewDetectionConfig()

The config for skew between training data and prediction data.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

Returns
Type	Description
boolean	Whether the trainingPredictionSkewDetectionConfig field is set.