Package com.google.cloud.aiplatform.v1

Interface FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      FeaturestoreMonitoringConfig.ThresholdConfig.ThresholdCase getThresholdCase()  
      double getValue()
      Specify a threshold value that can trigger the alert.
      boolean hasValue()
      Specify a threshold value that can trigger the alert.

      • 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

      • hasValue

        boolean hasValue()
         Specify a threshold value that can trigger the alert.
 1. For categorical feature, the distribution distance is calculated by
 L-inifinity norm.
 2. For numerical feature, the distribution distance is calculated by
 Jensen–Shannon divergence. Each feature must have a non-zero threshold
 if they need to be monitored. Otherwise no alert will be triggered for
 that feature.
        double value = 1;
        Returns:
        Whether the value field is set.

      • getValue

        double getValue()
         Specify a threshold value that can trigger the alert.
 1. For categorical feature, the distribution distance is calculated by
 L-inifinity norm.
 2. For numerical feature, the distribution distance is calculated by
 Jensen–Shannon divergence. Each feature must have a non-zero threshold
 if they need to be monitored. Otherwise no alert will be triggered for
 that feature.
        double value = 1;
        Returns:
        The value.