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.v1beta1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig
Static Methods
public static final Descriptors.Descriptor getDescriptor()
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig build()
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig buildPartial()
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clear()
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clearAttributionScoreDriftThresholds()
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clearDriftThresholds()
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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.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;
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;
public Map<String,ThresholdConfig> getAttributionScoreDriftThresholds()
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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;
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;
public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstanceForType()
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public Descriptors.Descriptor getDescriptorForType()
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public Map<String,ThresholdConfig> getDriftThresholds()
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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;
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;
public Map<String,ThresholdConfig> getMutableAttributionScoreDriftThresholds()
Use alternate mutation accessors instead.
public Map<String,ThresholdConfig> getMutableDriftThresholds()
Use alternate mutation accessors instead.
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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protected MapField internalGetMapField(int number)
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protected MapField internalGetMutableMapField(int number)
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public final boolean isInitialized()
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder mergeFrom(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig other)
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder mergeFrom(Message other)
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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.v1beta1.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.v1beta1.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.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;
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.v1beta1.ThresholdConfig> drift_thresholds = 1;
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.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;
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.v1beta1.ThresholdConfig> drift_thresholds = 1;
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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