ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder (proto-google-cloud-aiplatform-v1 3.37.0 API)

java.lang.Object
- com.google.protobuf.AbstractMessageLite.Builder
- - com.google.protobuf.AbstractMessage.Builder<BuilderT>
  - - com.google.protobuf.GeneratedMessageV3.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.GeneratedMessageV3.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

All Methods Static Methods Instance Methods Concrete Methods Deprecated Methods
Modifier and Type	Method and Description
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)`
`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`	`clearField(com.google.protobuf.Descriptors.FieldDescriptor field)`
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)`
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`clearSkewThresholds()`
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`clone()`
`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 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.GeneratedMessageV3.FieldAccessorTable`	`internalGetFieldAccessorTable()`
`protected com.google.protobuf.MapFieldReflectionAccessor`	`internalGetMapFieldReflection(int number)`
`protected com.google.protobuf.MapFieldReflectionAccessor`	`internalGetMutableMapFieldReflection(int number)`
`boolean`	`isInitialized()`
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`mergeDefaultSkewThreshold(ThresholdConfig value)` Skew anomaly detection threshold used by all features.
`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`	`mergeFrom(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig other)`
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)`
`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.Builder builderForValue)` Skew anomaly detection threshold used by all features.
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`setDefaultSkewThreshold(ThresholdConfig value)` Skew anomaly detection threshold used by all features.
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)`
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)`
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`	`setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)`

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, 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, newUninitializedMessageException

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

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

Method Detail

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.GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

internalGetMutableMapFieldReflection
```
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
```
Overrides:

internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

internalGetFieldAccessorTable
```
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
```
Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.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.GeneratedMessageV3.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.GeneratedMessageV3.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

clone
```
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clone()
```
Specified by:

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

Specified by:

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

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

setField

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                             Object value)

Specified by:: setField in interface com.google.protobuf.Message.Builder
Overrides:: setField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

clearField
```
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
```
Specified by:

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

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

clearOneof
```
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
```
Specified by:

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

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

setRepeatedField

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                                     int index,
                                                                                                     Object value)

Specified by:: setRepeatedField in interface com.google.protobuf.Message.Builder
Overrides:: setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder>

addRepeatedField

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                                     Object value)

Specified by:: addRepeatedField in interface com.google.protobuf.Message.Builder
Overrides:: addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.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.GeneratedMessageV3.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.