Class ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies (3.32.0)

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
TypeDescription
int

PREDICTION_STATS_FIELD_NUMBER

public static final int PREDICTION_STATS_FIELD_NUMBER
Field Value
TypeDescription
int

THRESHOLD_FIELD_NUMBER

public static final int THRESHOLD_FIELD_NUMBER
Field Value
TypeDescription
int

TRAINING_STATS_FIELD_NUMBER

public static final int TRAINING_STATS_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies getDefaultInstance()
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

newBuilder()

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilder()
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

newBuilder(ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies prototype)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilder(ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies prototype)
Parameter
NameDescription
prototypeModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

parseDelimitedFrom(InputStream input)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

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

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getDefaultInstanceForType()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies getDefaultInstanceForType()
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

getFeatureDisplayName()

public String getFeatureDisplayName()

Display Name of the Feature.

string feature_display_name = 1;

Returns
TypeDescription
String

The featureDisplayName.

getFeatureDisplayNameBytes()

public ByteString getFeatureDisplayNameBytes()

Display Name of the Feature.

string feature_display_name = 1;

Returns
TypeDescription
ByteString

The bytes for featureDisplayName.

getParserForType()

public Parser<ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies> getParserForType()
Returns
TypeDescription
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
NameDescription
indexint
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
NameDescription
indexint
Returns
TypeDescription
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
TypeDescription
List<? extends com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomalyOrBuilder>

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getThreshold()

public ThresholdConfig getThreshold()

Threshold for anomaly detection.

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

Returns
TypeDescription
ThresholdConfig

The threshold.

getThresholdOrBuilder()

public ThresholdConfigOrBuilder getThresholdOrBuilder()

Threshold for anomaly detection.

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

Returns
TypeDescription
ThresholdConfigOrBuilder

getTrainingStats()

public FeatureStatsAnomaly getTrainingStats()

Stats calculated for the Training Dataset.

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

Returns
TypeDescription
FeatureStatsAnomaly

The trainingStats.

getTrainingStatsOrBuilder()

public FeatureStatsAnomalyOrBuilder getTrainingStatsOrBuilder()

Stats calculated for the Training Dataset.

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

Returns
TypeDescription
FeatureStatsAnomalyOrBuilder

hasThreshold()

public boolean hasThreshold()

Threshold for anomaly detection.

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

Returns
TypeDescription
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
TypeDescription
boolean

Whether the trainingStats field is set.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilderForType()
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder toBuilder()
Returns
TypeDescription
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides
Exceptions
TypeDescription
IOException