public static final class ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder> implements ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder
   
   The config for Prediction data drift detection.
 Protobuf type 
 google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
    Inherited Members
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
    
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
    
    
    
    
    
    
    
    
    
    
    
    
   
  Static Methods
  
  
  
  
    public static final Descriptors.Descriptor getDescriptor()
   
  
  Methods
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
   
  
  
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    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig build()
   
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig buildPartial()
   
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clear()
   
  
  Overrides
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clearAttributionScoreDriftThresholds()
   
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clearDefaultDriftThreshold()
   
   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.v1.ThresholdConfig default_drift_threshold = 5;
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clearDriftThresholds()
   
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clearField(Descriptors.FieldDescriptor field)
   
  
  
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    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
   
  
  
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    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clone()
   
  
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    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.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
 | 
    
  
  
  
  
  
    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.v1.ThresholdConfig> drift_thresholds = 1;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
 | 
    
  
  
  
  
  
    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.v1.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.v1.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.v1.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.v1.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.v1.ThresholdConfig default_drift_threshold = 5;
    public ThresholdConfig.Builder getDefaultDriftThresholdBuilder()
   
   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.v1.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.v1.ThresholdConfig default_drift_threshold = 5;
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstanceForType()
   
  
  
  
  
    public Descriptors.Descriptor getDescriptorForType()
   
  
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    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.v1.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.v1.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.v1.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.v1.ThresholdConfig> drift_thresholds = 1;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
 | 
    
  
  
  
  
  
    public Map<String,ThresholdConfig> getMutableAttributionScoreDriftThresholds()
   
  Use alternate mutation accessors instead.
    public Map<String,ThresholdConfig> getMutableDriftThresholds()
   
  Use alternate mutation accessors instead.
    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.v1.ThresholdConfig default_drift_threshold = 5;
    
      
        | Returns | 
      
        | Type | Description | 
      
        | boolean | Whether the defaultDriftThreshold field is set. | 
    
  
  
  
  
    protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
   
  
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    protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
   
  
    
      
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        | com.google.protobuf.MapFieldReflectionAccessor |  | 
    
  
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  com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)
  
  
  
    protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
   
  
    
      
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  com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)
  
  
  
    public final boolean isInitialized()
   
  
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    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder mergeDefaultDriftThreshold(ThresholdConfig value)
   
   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.v1.ThresholdConfig default_drift_threshold = 5;
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder mergeFrom(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig other)
   
  
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
   
  
  
  Overrides
  
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder mergeFrom(Message other)
   
  
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | other | Message
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    public final ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
   
  
  
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    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder putAllAttributionScoreDriftThresholds(Map<String,ThresholdConfig> values)
   
   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.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;
 
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder putAllDriftThresholds(Map<String,ThresholdConfig> values)
   
   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.v1.ThresholdConfig> drift_thresholds = 1;
 
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder putAttributionScoreDriftThresholds(String key, ThresholdConfig value)
   
   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.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;
 
    public ThresholdConfig.Builder putAttributionScoreDriftThresholdsBuilderIfAbsent(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.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
 | 
    
  
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder putDriftThresholds(String key, ThresholdConfig value)
   
   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.v1.ThresholdConfig> drift_thresholds = 1;
 
    public ThresholdConfig.Builder putDriftThresholdsBuilderIfAbsent(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.v1.ThresholdConfig> drift_thresholds = 1;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
 | 
    
  
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder removeAttributionScoreDriftThresholds(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.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
 | 
    
  
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder removeDriftThresholds(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.v1.ThresholdConfig> drift_thresholds = 1;
 
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | key | String
 | 
    
  
  
  
  
  
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder setDefaultDriftThreshold(ThresholdConfig value)
   
   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.v1.ThresholdConfig default_drift_threshold = 5;
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder setDefaultDriftThreshold(ThresholdConfig.Builder builderForValue)
   
   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.v1.ThresholdConfig default_drift_threshold = 5;
    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
   
  
  
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    public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
   
  
  
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    public final ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
   
  
  
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