public static final class ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder extends GeneratedMessageV3.Builder.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)
Overrides
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)
Overrides
public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Overrides
public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder clone()
Overrides
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 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 drift_thresholds = 1;
| Parameter |
| Name |
Description |
key |
String
|
public Map,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 attribution_score_drift_thresholds = 2;
| Returns |
| Type |
Description |
int |
|
public Map,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 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 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 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()
Overrides
public Map,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 drift_thresholds = 1;
| Returns |
| Type |
Description |
int |
|
public Map,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 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 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 drift_thresholds = 1;
| Parameter |
| Name |
Description |
key |
String
|
public Map,ThresholdConfig> getMutableAttributionScoreDriftThresholds()
Use alternate mutation accessors instead.
public Map,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()
Overrides
protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
| Parameter |
| Name |
Description |
number |
int
|
| Returns |
| Type |
Description |
com.google.protobuf.MapFieldReflectionAccessor |
|
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)
protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
| Parameter |
| Name |
Description |
number |
int
|
| Returns |
| Type |
Description |
com.google.protobuf.MapFieldReflectionAccessor |
|
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)
public final boolean isInitialized()
Overrides
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
|
Overrides
public final ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Overrides
public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder putAllAttributionScoreDriftThresholds(Map,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 attribution_score_drift_thresholds = 2;
public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder putAllDriftThresholds(Map,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 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 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 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 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 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 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 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)
Overrides
public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Overrides
public final ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Overrides
