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Class ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig (2.4.0)
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Version 2.4.0 keyboard_arrow_down
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
Fields
public static final int ATTRIBUTION_SCORE_DRIFT_THRESHOLDS_FIELD_NUMBER
Field Value
public static final int DRIFT_THRESHOLDS_FIELD_NUMBER
Field Value
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
Returns
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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public boolean equals ( Object obj )
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Overrides
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;
Returns
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;
Returns
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;
Parameters
Returns
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
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig getDefaultInstance ()
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public ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig getDefaultInstanceForType ()
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public static final Descriptors . Descriptor getDescriptor ()
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public Map<String , ThresholdConfig > getDriftThresholds ()
Returns
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
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;
Returns
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;
Parameters
Returns
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
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public Parser<ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig > getParserForType ()
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Overrides
public int getSerializedSize ()
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Overrides
public final UnknownFieldSet getUnknownFields ()
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Overrides
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Overrides
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
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Overrides
protected MapField internalGetMapField ( int number )
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Overrides
public final boolean isInitialized ()
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Overrides
public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig . Builder newBuilder ()
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig . Builder newBuilder ( ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig prototype )
Parameter
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public ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig . Builder newBuilderForType ()
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protected ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig . Builder newBuilderForType ( GeneratedMessageV3 . BuilderParent parent )
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Overrides
protected Object newInstance ( GeneratedMessageV3 . UnusedPrivateParameter unused )
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Overrides
public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseDelimitedFrom ( InputStream input )
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Exceptions
public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseDelimitedFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
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Exceptions
public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( byte [] data )
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Name Description data byte []
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( byte [] data , ExtensionRegistryLite extensionRegistry )
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( ByteString data )
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( ByteString data , ExtensionRegistryLite extensionRegistry )
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( CodedInputStream input )
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( InputStream input )
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( InputStream input , ExtensionRegistryLite extensionRegistry )
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( ByteBuffer data )
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public static ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig parseFrom ( ByteBuffer data , ExtensionRegistryLite extensionRegistry )
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public static Parser<ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig > parser ()
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public ModelMonitoringObjectiveConfig . PredictionDriftDetectionConfig . Builder toBuilder ()
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public void writeTo ( CodedOutputStream output )
Parameter
Overrides
Exceptions
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Last updated 2025-01-28 UTC.
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