Interface ModelMonitoringObjectiveConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelMonitoringObjectiveConfig, ModelMonitoringObjectiveConfig.Builder

@Generated public interface ModelMonitoringObjectiveConfigOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • 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

       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

       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

       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

       The config for drift of prediction data.
       
      .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
      Returns:
      The predictionDriftDetectionConfig.
    • 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

       The config for integrating with Vertex Explainable AI.
       
      .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;
      Returns:
      The explanationConfig.
    • getExplanationConfigOrBuilder

       The config for integrating with Vertex Explainable AI.
       
      .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;