Interface ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder

    • Method Detail

      • getDriftThresholdsCount

        int getDriftThresholdsCount()
         Key is the feature name and value is the threshold. If a feature needs to
         be monitored for drift, a value threshold must be configured for that
         feature. The threshold here is against feature distribution distance
         between different time windws.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;
      • containsDriftThresholds

        boolean containsDriftThresholds​(String key)
         Key is the feature name and value is the threshold. If a feature needs to
         be monitored for drift, a value threshold must be configured for that
         feature. The threshold here is against feature distribution distance
         between different time windws.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;
      • getDriftThresholdsMap

        Map<String,​ThresholdConfig> getDriftThresholdsMap()
         Key is the feature name and value is the threshold. If a feature needs to
         be monitored for drift, a value threshold must be configured for that
         feature. The threshold here is against feature distribution distance
         between different time windws.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;
      • getDriftThresholdsOrDefault

        ThresholdConfig getDriftThresholdsOrDefault​(String key,
                                                    ThresholdConfig defaultValue)
         Key is the feature name and value is the threshold. If a feature needs to
         be monitored for drift, a value threshold must be configured for that
         feature. The threshold here is against feature distribution distance
         between different time windws.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;
      • getDriftThresholdsOrThrow

        ThresholdConfig getDriftThresholdsOrThrow​(String key)
         Key is the feature name and value is the threshold. If a feature needs to
         be monitored for drift, a value threshold must be configured for that
         feature. The threshold here is against feature distribution distance
         between different time windws.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> drift_thresholds = 1;
      • getAttributionScoreDriftThresholdsCount

        int getAttributionScoreDriftThresholdsCount()
         Key is the feature name and value is the threshold. The threshold here is
         against attribution score distance between different time windows.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;
      • containsAttributionScoreDriftThresholds

        boolean containsAttributionScoreDriftThresholds​(String key)
         Key is the feature name and value is the threshold. The threshold here is
         against attribution score distance between different time windows.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;
      • getAttributionScoreDriftThresholdsMap

        Map<String,​ThresholdConfig> getAttributionScoreDriftThresholdsMap()
         Key is the feature name and value is the threshold. The threshold here is
         against attribution score distance between different time windows.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;
      • getAttributionScoreDriftThresholdsOrDefault

        ThresholdConfig getAttributionScoreDriftThresholdsOrDefault​(String key,
                                                                    ThresholdConfig defaultValue)
         Key is the feature name and value is the threshold. The threshold here is
         against attribution score distance between different time windows.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;
      • getAttributionScoreDriftThresholdsOrThrow

        ThresholdConfig getAttributionScoreDriftThresholdsOrThrow​(String key)
         Key is the feature name and value is the threshold. The threshold here is
         against attribution score distance between different time windows.
         
        map<string, .google.cloud.aiplatform.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;
      • hasDefaultDriftThreshold

        boolean hasDefaultDriftThreshold()
         Drift anomaly detection threshold used by all features.
         When the per-feature thresholds are not set, this field can be used to
         specify a threshold for all features.
         
        .google.cloud.aiplatform.v1beta1.ThresholdConfig default_drift_threshold = 5;
        Returns:
        Whether the defaultDriftThreshold field is set.
      • getDefaultDriftThreshold

        ThresholdConfig getDefaultDriftThreshold()
         Drift anomaly detection threshold used by all features.
         When the per-feature thresholds are not set, this field can be used to
         specify a threshold for all features.
         
        .google.cloud.aiplatform.v1beta1.ThresholdConfig default_drift_threshold = 5;
        Returns:
        The defaultDriftThreshold.
      • getDefaultDriftThresholdOrBuilder

        ThresholdConfigOrBuilder getDefaultDriftThresholdOrBuilder()
         Drift anomaly detection threshold used by all features.
         When the per-feature thresholds are not set, this field can be used to
         specify a threshold for all features.
         
        .google.cloud.aiplatform.v1beta1.ThresholdConfig default_drift_threshold = 5;