Class ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder (3.20.0)

Version 3.20.0

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public static final class ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder extends GeneratedMessageV3.Builder<ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder> implements ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomaliesOrBuilder

Historical Stats (and Anomalies) for a specific Feature.

Protobuf type google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Implements

ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomaliesOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addAllPredictionStats(Iterable<? extends FeatureStatsAnomaly> values)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addAllPredictionStats(Iterable<? extends FeatureStatsAnomaly> values)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.aiplatform.v1.FeatureStatsAnomaly>

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

addPredictionStats(FeatureStatsAnomaly value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addPredictionStats(FeatureStatsAnomaly value)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameter
Name	Description
value	FeatureStatsAnomaly

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

addPredictionStats(FeatureStatsAnomaly.Builder builderForValue)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addPredictionStats(FeatureStatsAnomaly.Builder builderForValue)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameter
Name	Description
builderForValue	FeatureStatsAnomaly.Builder

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

addPredictionStats(int index, FeatureStatsAnomaly value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addPredictionStats(int index, FeatureStatsAnomaly value)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameters
Name	Description
index	int
value	FeatureStatsAnomaly

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

addPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameters
Name	Description
index	int
builderForValue	FeatureStatsAnomaly.Builder

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

addPredictionStatsBuilder()

public FeatureStatsAnomaly.Builder addPredictionStatsBuilder()

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Returns
Type	Description
FeatureStatsAnomaly.Builder

addPredictionStatsBuilder(int index)

public FeatureStatsAnomaly.Builder addPredictionStatsBuilder(int index)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameter
Name	Description
index	int

Returns
Type	Description
FeatureStatsAnomaly.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies build()

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

buildPartial()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies buildPartial()

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

clear()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clear()

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearFeatureDisplayName()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearFeatureDisplayName()

Display Name of the Feature.

string feature_display_name = 1;

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearPredictionStats()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearPredictionStats()

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

clearThreshold()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearThreshold()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

clearTrainingStats()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearTrainingStats()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

clone()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clone()

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies getDefaultInstanceForType()

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getFeatureDisplayName()

public String getFeatureDisplayName()

Display Name of the Feature.

string feature_display_name = 1;

Returns
Type	Description
String	The featureDisplayName.

getFeatureDisplayNameBytes()

public ByteString getFeatureDisplayNameBytes()

Display Name of the Feature.

string feature_display_name = 1;

Returns
Type	Description
ByteString	The bytes for featureDisplayName.

getPredictionStats(int index)

public FeatureStatsAnomaly getPredictionStats(int index)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameter
Name	Description
index	int

Returns
Type	Description
FeatureStatsAnomaly

getPredictionStatsBuilder(int index)

public FeatureStatsAnomaly.Builder getPredictionStatsBuilder(int index)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameter
Name	Description
index	int

Returns
Type	Description
FeatureStatsAnomaly.Builder

getPredictionStatsBuilderList()

public List<FeatureStatsAnomaly.Builder> getPredictionStatsBuilderList()

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Returns
Type	Description
List<Builder>

getPredictionStatsCount()

public int getPredictionStatsCount()

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Returns
Type	Description
int

getPredictionStatsList()

public List<FeatureStatsAnomaly> getPredictionStatsList()

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Returns
Type	Description
List<FeatureStatsAnomaly>

getPredictionStatsOrBuilder(int index)

public FeatureStatsAnomalyOrBuilder getPredictionStatsOrBuilder(int index)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameter
Name	Description
index	int

Returns
Type	Description
FeatureStatsAnomalyOrBuilder

getPredictionStatsOrBuilderList()

public List<? extends FeatureStatsAnomalyOrBuilder> getPredictionStatsOrBuilderList()

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1.FeatureStatsAnomalyOrBuilder>

getThreshold()

public ThresholdConfig getThreshold()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;

Returns
Type	Description
ThresholdConfig	The threshold.

getThresholdBuilder()

public ThresholdConfig.Builder getThresholdBuilder()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;

Returns
Type	Description
ThresholdConfig.Builder

getThresholdOrBuilder()

public ThresholdConfigOrBuilder getThresholdOrBuilder()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;

Returns
Type	Description
ThresholdConfigOrBuilder

getTrainingStats()

public FeatureStatsAnomaly getTrainingStats()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;

Returns
Type	Description
FeatureStatsAnomaly	The trainingStats.

getTrainingStatsBuilder()

public FeatureStatsAnomaly.Builder getTrainingStatsBuilder()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;

Returns
Type	Description
FeatureStatsAnomaly.Builder

getTrainingStatsOrBuilder()

public FeatureStatsAnomalyOrBuilder getTrainingStatsOrBuilder()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;

Returns
Type	Description
FeatureStatsAnomalyOrBuilder

hasThreshold()

public boolean hasThreshold()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;

Returns
Type	Description
boolean	Whether the threshold field is set.

hasTrainingStats()

public boolean hasTrainingStats()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;

Returns
Type	Description
boolean	Whether the trainingStats field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies other)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeFrom(ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies other)

Parameter
Name	Description
other	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeThreshold(ThresholdConfig value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeThreshold(ThresholdConfig value)

Threshold for anomaly detection.

.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;

Parameter
Name	Description
value	ThresholdConfig

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

mergeTrainingStats(FeatureStatsAnomaly value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeTrainingStats(FeatureStatsAnomaly value)

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;

Parameter
Name	Description
value	FeatureStatsAnomaly

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removePredictionStats(int index)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder removePredictionStats(int index)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

setFeatureDisplayName(String value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setFeatureDisplayName(String value)

Display Name of the Feature.

string feature_display_name = 1;

Parameter
Name	Description
value	String The featureDisplayName to set.

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder	This builder for chaining.

setFeatureDisplayNameBytes(ByteString value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setFeatureDisplayNameBytes(ByteString value)

Display Name of the Feature.

string feature_display_name = 1;

Parameter
Name	Description
value	ByteString The bytes for featureDisplayName to set.

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setPredictionStats(int index, FeatureStatsAnomaly value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setPredictionStats(int index, FeatureStatsAnomaly value)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameters
Name	Description
index	int
value	FeatureStatsAnomaly

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

setPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;

Parameters
Name	Description
index	int
builderForValue	FeatureStatsAnomaly.Builder

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setThreshold(ThresholdConfig value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setThreshold(ThresholdConfig value)

Threshold for anomaly detection.

.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;

Parameter
Name	Description
value	ThresholdConfig

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

setThreshold(ThresholdConfig.Builder builderForValue)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setThreshold(ThresholdConfig.Builder builderForValue)

Threshold for anomaly detection.

.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;

Parameter
Name	Description
builderForValue	ThresholdConfig.Builder

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

setTrainingStats(FeatureStatsAnomaly value)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setTrainingStats(FeatureStatsAnomaly value)

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;

Parameter
Name	Description
value	FeatureStatsAnomaly

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

setTrainingStats(FeatureStatsAnomaly.Builder builderForValue)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setTrainingStats(FeatureStatsAnomaly.Builder builderForValue)

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;

Parameter
Name	Description
builderForValue	FeatureStatsAnomaly.Builder

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)