Class ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies (3.56.0) 

public static final class ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies extends GeneratedMessageV3 implements ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomaliesOrBuilder

Historical Stats (and Anomalies) for a specific Feature.

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

Inheritance

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

Static Fields

FEATURE_DISPLAY_NAME_FIELD_NUMBER

public static final int FEATURE_DISPLAY_NAME_FIELD_NUMBER
Field Value
Type Description
int

PREDICTION_STATS_FIELD_NUMBER

public static final int PREDICTION_STATS_FIELD_NUMBER
Field Value
Type Description
int

THRESHOLD_FIELD_NUMBER

public static final int THRESHOLD_FIELD_NUMBER
Field Value
Type Description
int

TRAINING_STATS_FIELD_NUMBER

public static final int TRAINING_STATS_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies getDefaultInstance()
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

getDescriptor()

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

newBuilder()

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilder()
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

newBuilder(ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies prototype)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilder(ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies prototype)
Parameter
Name Description
prototype ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

parseDelimitedFrom(InputStream input)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies> parser()
Returns
Type Description
Parser<FeatureHistoricStatsAnomalies>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getDefaultInstanceForType()

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

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.

getParserForType()

public Parser<ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies> getParserForType()
Returns
Type Description
Parser<FeatureHistoricStatsAnomalies>
Overrides

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

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>

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

getThreshold()

public ThresholdConfig getThreshold()

Threshold for anomaly detection.

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

Returns
Type Description
ThresholdConfig

The threshold.

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.

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.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilderForType()
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder toBuilder()
Returns
Type Description
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException