Class ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder (2.7.4) 

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

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

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

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

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder
Overrides

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

getDefaultInstanceForType()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies getDefaultInstanceForType()
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

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

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

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 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

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

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

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

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