Package com.google.cloud.aiplatform.v1

Class ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder

All Implemented Interfaces:

ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

public static final class ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder
extends com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>
implements ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

 The config for Training & Prediction data skew detection. It specifies the
 training dataset sources and the skew detection parameters.
 

Protobuf type google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

Method Summary

Modifier and Type	Method	Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	build()
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	buildPartial()
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	clear()
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	clearAttributionScoreSkewThresholds()
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	clearDefaultSkewThreshold()	Skew anomaly detection threshold used by all features.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	clearSkewThresholds()
boolean	containsAttributionScoreSkewThresholds(String key)	Key is the feature name and value is the threshold.
boolean	containsSkewThresholds(String key)	Key is the feature name and value is the threshold.
Map<String,ThresholdConfig>	getAttributionScoreSkewThresholds()	Deprecated.
int	getAttributionScoreSkewThresholdsCount()	Key is the feature name and value is the threshold.
Map<String,ThresholdConfig>	getAttributionScoreSkewThresholdsMap()	Key is the feature name and value is the threshold.
ThresholdConfig	getAttributionScoreSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)	Key is the feature name and value is the threshold.
ThresholdConfig	getAttributionScoreSkewThresholdsOrThrow(String key)	Key is the feature name and value is the threshold.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	getDefaultInstanceForType()
ThresholdConfig	getDefaultSkewThreshold()	Skew anomaly detection threshold used by all features.
ThresholdConfig.Builder	getDefaultSkewThresholdBuilder()	Skew anomaly detection threshold used by all features.
ThresholdConfigOrBuilder	getDefaultSkewThresholdOrBuilder()	Skew anomaly detection threshold used by all features.
static final com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
Map<String,ThresholdConfig>	getMutableAttributionScoreSkewThresholds()	Deprecated.
Map<String,ThresholdConfig>	getMutableSkewThresholds()	Deprecated.
Map<String,ThresholdConfig>	getSkewThresholds()	Deprecated.
int	getSkewThresholdsCount()	Key is the feature name and value is the threshold.
Map<String,ThresholdConfig>	getSkewThresholdsMap()	Key is the feature name and value is the threshold.
ThresholdConfig	getSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)	Key is the feature name and value is the threshold.
ThresholdConfig	getSkewThresholdsOrThrow(String key)	Key is the feature name and value is the threshold.
boolean	hasDefaultSkewThreshold()	Skew anomaly detection threshold used by all features.
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
protected com.google.protobuf.MapFieldReflectionAccessor	internalGetMapFieldReflection(int number)
protected com.google.protobuf.MapFieldReflectionAccessor	internalGetMutableMapFieldReflection(int number)
final boolean	isInitialized()
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	mergeDefaultSkewThreshold(ThresholdConfig value)	Skew anomaly detection threshold used by all features.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	mergeFrom(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig other)
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	mergeFrom(com.google.protobuf.Message other)
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	putAllAttributionScoreSkewThresholds(Map<String,ThresholdConfig> values)	Key is the feature name and value is the threshold.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	putAllSkewThresholds(Map<String,ThresholdConfig> values)	Key is the feature name and value is the threshold.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	putAttributionScoreSkewThresholds(String key, ThresholdConfig value)	Key is the feature name and value is the threshold.
ThresholdConfig.Builder	putAttributionScoreSkewThresholdsBuilderIfAbsent(String key)	Key is the feature name and value is the threshold.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	putSkewThresholds(String key, ThresholdConfig value)	Key is the feature name and value is the threshold.
ThresholdConfig.Builder	putSkewThresholdsBuilderIfAbsent(String key)	Key is the feature name and value is the threshold.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	removeAttributionScoreSkewThresholds(String key)	Key is the feature name and value is the threshold.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	removeSkewThresholds(String key)	Key is the feature name and value is the threshold.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	setDefaultSkewThreshold(ThresholdConfig value)	Skew anomaly detection threshold used by all features.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	setDefaultSkewThreshold(ThresholdConfig.Builder builderForValue)	Skew anomaly detection threshold used by all features.

Methods inherited from class com.google.protobuf.GeneratedMessage.Builder

addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Methods inherited from interface com.google.protobuf.MessageLite.Builder

mergeFrom

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Method Details

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetMapFieldReflection

protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)

Overrides:

internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

internalGetMutableMapFieldReflection

protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)

Overrides:

internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

clear

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

getDefaultInstanceForType

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

mergeFrom

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

mergeFrom

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder mergeFrom(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

mergeFrom

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                                       throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

Throws:

IOException

getSkewThresholdsCount

public int getSkewThresholdsCount()

Description copied from interface: ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

 Key is the feature name and value is the threshold. If a feature needs to
 be monitored for skew, a value threshold must be configured for that
 feature. The threshold here is against feature distribution distance
 between the training and prediction feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;

Specified by:

getSkewThresholdsCount in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

containsSkewThresholds

public boolean containsSkewThresholds(String key)

 Key is the feature name and value is the threshold. If a feature needs to
 be monitored for skew, a value threshold must be configured for that
 feature. The threshold here is against feature distribution distance
 between the training and prediction feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;

Specified by:

containsSkewThresholds in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getSkewThresholds

@Deprecated
public Map<String,ThresholdConfig> getSkewThresholds()

Deprecated.

Use getSkewThresholdsMap() instead.

Specified by:

getSkewThresholds in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getSkewThresholdsMap

public Map<String,ThresholdConfig> getSkewThresholdsMap()

 Key is the feature name and value is the threshold. If a feature needs to
 be monitored for skew, a value threshold must be configured for that
 feature. The threshold here is against feature distribution distance
 between the training and prediction feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;

Specified by:

getSkewThresholdsMap in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getSkewThresholdsOrDefault

public ThresholdConfig getSkewThresholdsOrDefault(String key,
 ThresholdConfig defaultValue)

 Key is the feature name and value is the threshold. If a feature needs to
 be monitored for skew, a value threshold must be configured for that
 feature. The threshold here is against feature distribution distance
 between the training and prediction feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;

Specified by:

getSkewThresholdsOrDefault in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getSkewThresholdsOrThrow

public ThresholdConfig getSkewThresholdsOrThrow(String key)

 Key is the feature name and value is the threshold. If a feature needs to
 be monitored for skew, a value threshold must be configured for that
 feature. The threshold here is against feature distribution distance
 between the training and prediction feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;

Specified by:

getSkewThresholdsOrThrow in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

clearSkewThresholds

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearSkewThresholds()

removeSkewThresholds

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder removeSkewThresholds(String key)

 Key is the feature name and value is the threshold. If a feature needs to
 be monitored for skew, a value threshold must be configured for that
 feature. The threshold here is against feature distribution distance
 between the training and prediction feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;

getMutableSkewThresholds

@Deprecated
public Map<String,ThresholdConfig> getMutableSkewThresholds()

Deprecated.

Use alternate mutation accessors instead.

putSkewThresholds

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder putSkewThresholds(String key,
 ThresholdConfig value)

 Key is the feature name and value is the threshold. If a feature needs to
 be monitored for skew, a value threshold must be configured for that
 feature. The threshold here is against feature distribution distance
 between the training and prediction feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;

putAllSkewThresholds

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder putAllSkewThresholds(Map<String,ThresholdConfig> values)

 Key is the feature name and value is the threshold. If a feature needs to
 be monitored for skew, a value threshold must be configured for that
 feature. The threshold here is against feature distribution distance
 between the training and prediction feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;

putSkewThresholdsBuilderIfAbsent

public ThresholdConfig.Builder putSkewThresholdsBuilderIfAbsent(String key)

 Key is the feature name and value is the threshold. If a feature needs to
 be monitored for skew, a value threshold must be configured for that
 feature. The threshold here is against feature distribution distance
 between the training and prediction feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;

getAttributionScoreSkewThresholdsCount

public int getAttributionScoreSkewThresholdsCount()

Description copied from interface: ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

 Key is the feature name and value is the threshold. The threshold here is
 against attribution score distance between the training and prediction
 feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Specified by:

getAttributionScoreSkewThresholdsCount in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

containsAttributionScoreSkewThresholds

public boolean containsAttributionScoreSkewThresholds(String key)

 Key is the feature name and value is the threshold. The threshold here is
 against attribution score distance between the training and prediction
 feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Specified by:

containsAttributionScoreSkewThresholds in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getAttributionScoreSkewThresholds

@Deprecated
public Map<String,ThresholdConfig> getAttributionScoreSkewThresholds()

Deprecated.

Use getAttributionScoreSkewThresholdsMap() instead.

Specified by:

getAttributionScoreSkewThresholds in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getAttributionScoreSkewThresholdsMap

public Map<String,ThresholdConfig> getAttributionScoreSkewThresholdsMap()

 Key is the feature name and value is the threshold. The threshold here is
 against attribution score distance between the training and prediction
 feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Specified by:

getAttributionScoreSkewThresholdsMap in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getAttributionScoreSkewThresholdsOrDefault

public ThresholdConfig getAttributionScoreSkewThresholdsOrDefault(String key,
 ThresholdConfig defaultValue)

 Key is the feature name and value is the threshold. The threshold here is
 against attribution score distance between the training and prediction
 feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Specified by:

getAttributionScoreSkewThresholdsOrDefault in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getAttributionScoreSkewThresholdsOrThrow

public ThresholdConfig getAttributionScoreSkewThresholdsOrThrow(String key)

 Key is the feature name and value is the threshold. The threshold here is
 against attribution score distance between the training and prediction
 feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Specified by:

getAttributionScoreSkewThresholdsOrThrow in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

clearAttributionScoreSkewThresholds

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearAttributionScoreSkewThresholds()

removeAttributionScoreSkewThresholds

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder removeAttributionScoreSkewThresholds(String key)

 Key is the feature name and value is the threshold. The threshold here is
 against attribution score distance between the training and prediction
 feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;

getMutableAttributionScoreSkewThresholds

@Deprecated
public Map<String,ThresholdConfig> getMutableAttributionScoreSkewThresholds()

Deprecated.

Use alternate mutation accessors instead.

putAttributionScoreSkewThresholds

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder putAttributionScoreSkewThresholds(String key,
 ThresholdConfig value)

 Key is the feature name and value is the threshold. The threshold here is
 against attribution score distance between the training and prediction
 feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;

putAllAttributionScoreSkewThresholds

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder putAllAttributionScoreSkewThresholds(Map<String,ThresholdConfig> values)

 Key is the feature name and value is the threshold. The threshold here is
 against attribution score distance between the training and prediction
 feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;

putAttributionScoreSkewThresholdsBuilderIfAbsent

public ThresholdConfig.Builder putAttributionScoreSkewThresholdsBuilderIfAbsent(String key)

 Key is the feature name and value is the threshold. The threshold here is
 against attribution score distance between the training and prediction
 feature.
 

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;

hasDefaultSkewThreshold

public boolean hasDefaultSkewThreshold()

 Skew 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_skew_threshold = 6;

Specified by:

hasDefaultSkewThreshold in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

Returns:

Whether the defaultSkewThreshold field is set.

getDefaultSkewThreshold

public ThresholdConfig getDefaultSkewThreshold()

 Skew 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_skew_threshold = 6;

Specified by:

getDefaultSkewThreshold in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

Returns:

The defaultSkewThreshold.

setDefaultSkewThreshold

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder setDefaultSkewThreshold(ThresholdConfig value)

 Skew 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_skew_threshold = 6;

setDefaultSkewThreshold

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder setDefaultSkewThreshold(ThresholdConfig.Builder builderForValue)

 Skew 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_skew_threshold = 6;

mergeDefaultSkewThreshold

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder mergeDefaultSkewThreshold(ThresholdConfig value)

 Skew 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_skew_threshold = 6;

clearDefaultSkewThreshold

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearDefaultSkewThreshold()

 Skew 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_skew_threshold = 6;

getDefaultSkewThresholdBuilder

public ThresholdConfig.Builder getDefaultSkewThresholdBuilder()

 Skew 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_skew_threshold = 6;

getDefaultSkewThresholdOrBuilder

public ThresholdConfigOrBuilder getDefaultSkewThresholdOrBuilder()

 Skew 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_skew_threshold = 6;

Specified by:

getDefaultSkewThresholdOrBuilder in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder