public static final class ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig extends GeneratedMessageV3 implements ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder
   
   The config for Prediction data drift detection.
 Protobuf type 
 google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
    Inherited Members
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
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  Static Fields
  
  
  
    public static final int ATTRIBUTION_SCORE_DRIFT_THRESHOLDS_FIELD_NUMBER
   
  
    
      
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        | int |  | 
    
  
  
  
    public static final int DEFAULT_DRIFT_THRESHOLD_FIELD_NUMBER
   
  
    
      
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        | int |  | 
    
  
  
  
    public static final int DRIFT_THRESHOLDS_FIELD_NUMBER
   
  
    
      
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  Static Methods
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstance()
   
  
  
  
  
    public static final Descriptors.Descriptor getDescriptor()
   
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilder()
   
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilder(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prototype)
   
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseDelimitedFrom(InputStream input)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(byte[] data)
   
  
    
      
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        | data | byte[]
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    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteString data)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(CodedInputStream input)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(InputStream input)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteBuffer data)
   
  
  
  
  
  
  
    public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
   
  
  
  
  
  
  
    public static Parser<ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig> parser()
   
  
  Methods
  
  
  
  
    public 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;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
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    public 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;
 
    
      
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        | Name | Description | 
      
        | key | String
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  Overrides
  
  
  
  
    public Map<String,ThresholdConfig> getAttributionScoreDriftThresholds()
   
  
  
  
  
  
    public 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;
 
    
      
        | Returns | 
      
        | Type | Description | 
      
        | int |  | 
    
  
  
  
  
    public 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;
 
    public 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;
 
    public 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;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
 | 
    
  
  
  
  
  
    public 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;
    public 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;
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstanceForType()
   
  
  
  
  
    public Map<String,ThresholdConfig> getDriftThresholds()
   
  
  
  
  
  
    public 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;
 
    
      
        | Returns | 
      
        | Type | Description | 
      
        | int |  | 
    
  
  
  
  
    public 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;
 
    public 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;
 
    public 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;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
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    public Parser<ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig> getParserForType()
   
  
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    public int getSerializedSize()
   
  
    
      
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  Overrides
  
  
  
  
    public 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 | 
      
        | Type | Description | 
      
        | boolean | Whether the defaultDriftThreshold field is set. | 
    
  
  
  
  
  
    
      
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    public final boolean isInitialized()
   
  
  Overrides
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilderForType()
   
  
  
  
  
    protected ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
   
  
  
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    protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
   
  
  
    
      
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    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder toBuilder()
   
  
  
  
  
    public void writeTo(CodedOutputStream output)
   
  
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