Class ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder (2.4.0) 

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.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

Inheritance

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

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.v1beta1.FeatureStatsAnomaly prediction_stats = 5;

Parameter
Name Description
values Iterable<? extends com.google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.FeatureStatsAnomaly prediction_stats = 5;

Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

clearThreshold()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearThreshold()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1beta1.ThresholdConfig threshold = 3;

Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

clearTrainingStats()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearTrainingStats()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1beta1.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

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.FeatureStatsAnomaly prediction_stats = 5;

Returns
Type Description
List<? extends com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomalyOrBuilder>

getThreshold()

public ThresholdConfig getThreshold()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1beta1.ThresholdConfig threshold = 3;

Returns
Type Description
ThresholdConfig

The threshold.

getThresholdBuilder()

public ThresholdConfig.Builder getThresholdBuilder()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1beta1.ThresholdConfig threshold = 3;

Returns
Type Description
ThresholdConfig.Builder

getThresholdOrBuilder()

public ThresholdConfigOrBuilder getThresholdOrBuilder()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1beta1.ThresholdConfig threshold = 3;

Returns
Type Description
ThresholdConfigOrBuilder

getTrainingStats()

public FeatureStatsAnomaly getTrainingStats()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly training_stats = 4;

Returns
Type Description
FeatureStatsAnomaly

The trainingStats.

getTrainingStatsBuilder()

public FeatureStatsAnomaly.Builder getTrainingStatsBuilder()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly training_stats = 4;

Returns
Type Description
FeatureStatsAnomaly.Builder

getTrainingStatsOrBuilder()

public FeatureStatsAnomalyOrBuilder getTrainingStatsOrBuilder()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly training_stats = 4;

Returns
Type Description
FeatureStatsAnomalyOrBuilder

hasThreshold()

public boolean hasThreshold()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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