Class FeatureStatsAnomaly (3.31.0)

Version 3.31.0

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public final class FeatureStatsAnomaly extends GeneratedMessageV3 implements FeatureStatsAnomalyOrBuilder

Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display.

Protobuf type google.cloud.aiplatform.v1.FeatureStatsAnomaly

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > FeatureStatsAnomaly

Implements

FeatureStatsAnomalyOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

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

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

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

ANOMALY_DETECTION_THRESHOLD_FIELD_NUMBER

public static final int ANOMALY_DETECTION_THRESHOLD_FIELD_NUMBER

Field Value
Type	Description
int

ANOMALY_URI_FIELD_NUMBER

public static final int ANOMALY_URI_FIELD_NUMBER

Field Value
Type	Description
int

DISTRIBUTION_DEVIATION_FIELD_NUMBER

public static final int DISTRIBUTION_DEVIATION_FIELD_NUMBER

Field Value
Type	Description
int

END_TIME_FIELD_NUMBER

public static final int END_TIME_FIELD_NUMBER

Field Value
Type	Description
int

SCORE_FIELD_NUMBER

public static final int SCORE_FIELD_NUMBER

Field Value
Type	Description
int

START_TIME_FIELD_NUMBER

public static final int START_TIME_FIELD_NUMBER

Field Value
Type	Description
int

STATS_URI_FIELD_NUMBER

public static final int STATS_URI_FIELD_NUMBER

Field Value
Type	Description
int

Static Methods

getDefaultInstance()

public static FeatureStatsAnomaly getDefaultInstance()

Returns
Type	Description
FeatureStatsAnomaly

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

newBuilder()

public static FeatureStatsAnomaly.Builder newBuilder()

Returns
Type	Description
FeatureStatsAnomaly.Builder

newBuilder(FeatureStatsAnomaly prototype)

public static FeatureStatsAnomaly.Builder newBuilder(FeatureStatsAnomaly prototype)

Parameter
Name	Description
prototype	FeatureStatsAnomaly

Returns
Type	Description
FeatureStatsAnomaly.Builder

parseDelimitedFrom(InputStream input)

public static FeatureStatsAnomaly parseDelimitedFrom(InputStream input)

Parameter
Name	Description
input	InputStream

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static FeatureStatsAnomaly parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
IOException

parseFrom(byte[] data)

public static FeatureStatsAnomaly parseFrom(byte[] data)

Parameter
Name	Description
data	byte[]

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static FeatureStatsAnomaly parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
data	byte[]
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static FeatureStatsAnomaly parseFrom(ByteString data)

Parameter
Name	Description
data	ByteString

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static FeatureStatsAnomaly parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
data	ByteString
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static FeatureStatsAnomaly parseFrom(CodedInputStream input)

Parameter
Name	Description
input	CodedInputStream

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static FeatureStatsAnomaly parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
IOException

parseFrom(InputStream input)

public static FeatureStatsAnomaly parseFrom(InputStream input)

Parameter
Name	Description
input	InputStream

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static FeatureStatsAnomaly parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
IOException

parseFrom(ByteBuffer data)

public static FeatureStatsAnomaly parseFrom(ByteBuffer data)

Parameter
Name	Description
data	ByteBuffer

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static FeatureStatsAnomaly parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
data	ByteBuffer
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
FeatureStatsAnomaly

Exceptions
Type	Description
InvalidProtocolBufferException

parser()

public static Parser<FeatureStatsAnomaly> parser()

Returns
Type	Description
Parser<FeatureStatsAnomaly>

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter
Name	Description
obj	Object

Returns
Type	Description
boolean

Overrides

AbstractMessage.equals(Object other)

getAnomalyDetectionThreshold()

public double getAnomalyDetectionThreshold()

This is the threshold used when detecting anomalies. The threshold can be changed by user, so this one might be different from ThresholdConfig.value.

double anomaly_detection_threshold = 9;

Returns
Type	Description
double	The anomalyDetectionThreshold.

getAnomalyUri()

public String getAnomalyUri()

Path of the anomaly file for current feature values in Cloud Storage bucket. Format: gs://<bucket_name>/<object_name>/anomalies. Example: gs://monitoring_bucket/feature_name/anomalies. Stats are stored as binary format with Protobuf message Anoamlies are stored as binary format with Protobuf message tensorflow.metadata.v0.AnomalyInfo.

string anomaly_uri = 4;

Returns
Type	Description
String	The anomalyUri.

getAnomalyUriBytes()

public ByteString getAnomalyUriBytes()

Path of the anomaly file for current feature values in Cloud Storage bucket. Format: gs://<bucket_name>/<object_name>/anomalies. Example: gs://monitoring_bucket/feature_name/anomalies. Stats are stored as binary format with Protobuf message Anoamlies are stored as binary format with Protobuf message tensorflow.metadata.v0.AnomalyInfo.

string anomaly_uri = 4;

Returns
Type	Description
ByteString	The bytes for anomalyUri.

getDefaultInstanceForType()

public FeatureStatsAnomaly getDefaultInstanceForType()

Returns
Type	Description
FeatureStatsAnomaly

getDistributionDeviation()

public double getDistributionDeviation()

Deviation from the current stats to baseline stats.

1. For categorical feature, the distribution distance is calculated by L-inifinity norm.
2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence.

double distribution_deviation = 5;

Returns
Type	Description
double	The distributionDeviation.

getEndTime()

public Timestamp getEndTime()

The end timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), end_time indicates the timestamp of the data used to generate stats (e.g. timestamp we take snapshots for feature values).

.google.protobuf.Timestamp end_time = 8;

Returns
Type	Description
Timestamp	The endTime.

getEndTimeOrBuilder()

public TimestampOrBuilder getEndTimeOrBuilder()

The end timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), end_time indicates the timestamp of the data used to generate stats (e.g. timestamp we take snapshots for feature values).

.google.protobuf.Timestamp end_time = 8;

Returns
Type	Description
TimestampOrBuilder

getParserForType()

public Parser<FeatureStatsAnomaly> getParserForType()

Returns
Type	Description
Parser<FeatureStatsAnomaly>

Overrides

GeneratedMessageV3.getParserForType()

getScore()

public double getScore()

Feature importance score, only populated when cross-feature monitoring is enabled. For now only used to represent feature attribution score within range [0, 1] for ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW and ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT.

double score = 1;

Returns
Type	Description
double	The score.

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
int

Overrides

GeneratedMessageV3.getSerializedSize()

getStartTime()

public Timestamp getStartTime()

The start timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), start_time is only used to indicate the monitoring intervals, so it always equals to (end_time - monitoring_interval).

.google.protobuf.Timestamp start_time = 7;

Returns
Type	Description
Timestamp	The startTime.

getStartTimeOrBuilder()

public TimestampOrBuilder getStartTimeOrBuilder()

The start timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), start_time is only used to indicate the monitoring intervals, so it always equals to (end_time - monitoring_interval).

.google.protobuf.Timestamp start_time = 7;

Returns
Type	Description
TimestampOrBuilder

getStatsUri()

public String getStatsUri()

Path of the stats file for current feature values in Cloud Storage bucket. Format: gs://<bucket_name>/<object_name>/stats. Example: gs://monitoring_bucket/feature_name/stats. Stats are stored as binary format with Protobuf message tensorflow.metadata.v0.FeatureNameStatistics.

string stats_uri = 3;

Returns
Type	Description
String	The statsUri.

getStatsUriBytes()

public ByteString getStatsUriBytes()

Path of the stats file for current feature values in Cloud Storage bucket. Format: gs://<bucket_name>/<object_name>/stats. Example: gs://monitoring_bucket/feature_name/stats. Stats are stored as binary format with Protobuf message tensorflow.metadata.v0.FeatureNameStatistics.

string stats_uri = 3;

Returns
Type	Description
ByteString	The bytes for statsUri.

hasEndTime()

public boolean hasEndTime()

The end timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), end_time indicates the timestamp of the data used to generate stats (e.g. timestamp we take snapshots for feature values).

.google.protobuf.Timestamp end_time = 8;

Returns
Type	Description
boolean	Whether the endTime field is set.

hasStartTime()

public boolean hasStartTime()

The start timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), start_time is only used to indicate the monitoring intervals, so it always equals to (end_time - monitoring_interval).

.google.protobuf.Timestamp start_time = 7;

Returns
Type	Description
boolean	Whether the startTime field is set.

hashCode()

public int hashCode()

Returns
Type	Description
int

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public FeatureStatsAnomaly.Builder newBuilderForType()

Returns
Type	Description
FeatureStatsAnomaly.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected FeatureStatsAnomaly.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter
Name	Description
parent	BuilderParent

Returns
Type	Description
FeatureStatsAnomaly.Builder

Overrides

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

Parameter
Name	Description
unused	UnusedPrivateParameter

Returns
Type	Description
Object

Overrides

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

toBuilder()

public FeatureStatsAnomaly.Builder toBuilder()

Returns
Type	Description
FeatureStatsAnomaly.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter
Name	Description
output	CodedOutputStream

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions
Type	Description
IOException