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
Static Fields
public static final int ATTRIBUTION_SCORE_DRIFT_THRESHOLDS_FIELD_NUMBER
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public static final int DEFAULT_DRIFT_THRESHOLD_FIELD_NUMBER
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public static final int DRIFT_THRESHOLDS_FIELD_NUMBER
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Static Methods
public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstance()
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public static final Descriptors.Descriptor getDescriptor()
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public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilder()
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public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilder(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prototype)
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public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseDelimitedFrom(InputStream input)
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public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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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)
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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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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;
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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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public boolean equals(Object obj)
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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;
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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;
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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;
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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;
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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;
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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;
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstanceForType()
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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;
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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;
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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;
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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;
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public Parser<ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig> getParserForType()
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public int getSerializedSize()
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public final UnknownFieldSet getUnknownFields()
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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;
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Type | Description |
boolean | Whether the defaultDriftThreshold field is set.
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protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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protected MapField internalGetMapField(int number)
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public final boolean isInitialized()
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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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protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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