Class ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig (3.11.0)

Version 3.11.0

• 3.52.0 (latest)
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public static final class ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig extends GeneratedMessageV3 implements ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder

The config for Prediction data drift detection.

Protobuf type google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Implements

ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder

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)

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)

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

ATTRIBUTION_SCORE_DRIFT_THRESHOLDS_FIELD_NUMBER

public static final int ATTRIBUTION_SCORE_DRIFT_THRESHOLDS_FIELD_NUMBER

Field Value

Type	Description
int

DEFAULT_DRIFT_THRESHOLD_FIELD_NUMBER

public static final int DEFAULT_DRIFT_THRESHOLD_FIELD_NUMBER

Field Value

Type	Description
int

DRIFT_THRESHOLDS_FIELD_NUMBER

public static final int DRIFT_THRESHOLDS_FIELD_NUMBER

Field Value

Type	Description
int

Static Methods

getDefaultInstance()

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstance()

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns

Type	Description
Descriptor

newBuilder()

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilder()

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder

newBuilder(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prototype)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilder(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prototype)

Parameter

Name	Description
prototype	ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder

parseDelimitedFrom(InputStream input)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseDelimitedFrom(InputStream input)

Parameter

Name	Description
input	InputStream

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
IOException

parseFrom(byte[] data)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(byte[] data)

Parameter

Name	Description
data	byte[]

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	byte[]
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteString data)

Parameter

Name	Description
data	ByteString

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	ByteString
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(CodedInputStream input)

Parameter

Name	Description
input	CodedInputStream

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
IOException

parseFrom(InputStream input)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(InputStream input)

Parameter

Name	Description
input	InputStream

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
IOException

parseFrom(ByteBuffer data)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteBuffer data)

Parameter

Name	Description
data	ByteBuffer

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	ByteBuffer
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

Exceptions

Type	Description
InvalidProtocolBufferException

parser()

public static Parser<ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig> parser()

Returns

Type	Description
Parser<PredictionDriftDetectionConfig>

Methods

containsAttributionScoreDriftThresholds(String key)

public boolean containsAttributionScoreDriftThresholds(String key)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameter

Name	Description
key	String

Returns

Type	Description
boolean

containsDriftThresholds(String key)

public boolean containsDriftThresholds(String key)

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Parameter

Name	Description
key	String

Returns

Type	Description
boolean

equals(Object obj)

public boolean equals(Object obj)

Parameter

Name	Description
obj	Object

Returns

Type	Description
boolean

Overrides

AbstractMessage.equals(Object other)

getAttributionScoreDriftThresholds()

public Map<String,ThresholdConfig> getAttributionScoreDriftThresholds()

Use #getAttributionScoreDriftThresholdsMap() instead.

Returns

Type	Description
Map<String,ThresholdConfig>

getAttributionScoreDriftThresholdsCount()

public int getAttributionScoreDriftThresholdsCount()

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Returns

Type	Description
int

getAttributionScoreDriftThresholdsMap()

public Map<String,ThresholdConfig> getAttributionScoreDriftThresholdsMap()

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Returns

Type	Description
Map<String,ThresholdConfig>

getAttributionScoreDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public ThresholdConfig getAttributionScoreDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameters

Name	Description
key	String
defaultValue	ThresholdConfig

Returns

Type	Description
ThresholdConfig

getAttributionScoreDriftThresholdsOrThrow(String key)

public ThresholdConfig getAttributionScoreDriftThresholdsOrThrow(String key)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameter

Name	Description
key	String

Returns

Type	Description
ThresholdConfig

getDefaultDriftThreshold()

public ThresholdConfig getDefaultDriftThreshold()

Drift anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.

.google.cloud.aiplatform.v1.ThresholdConfig default_drift_threshold = 5;

Returns

Type	Description
ThresholdConfig	The defaultDriftThreshold.

getDefaultDriftThresholdOrBuilder()

public ThresholdConfigOrBuilder getDefaultDriftThresholdOrBuilder()

Drift anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.

.google.cloud.aiplatform.v1.ThresholdConfig default_drift_threshold = 5;

Returns

Type	Description
ThresholdConfigOrBuilder

getDefaultInstanceForType()

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getDefaultInstanceForType()

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

getDriftThresholds()

public Map<String,ThresholdConfig> getDriftThresholds()

Use #getDriftThresholdsMap() instead.

Returns

Type	Description
Map<String,ThresholdConfig>

getDriftThresholdsCount()

public int getDriftThresholdsCount()

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Returns

Type	Description
int

getDriftThresholdsMap()

public Map<String,ThresholdConfig> getDriftThresholdsMap()

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Returns

Type	Description
Map<String,ThresholdConfig>

getDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public ThresholdConfig getDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Parameters

Name	Description
key	String
defaultValue	ThresholdConfig

Returns

Type	Description
ThresholdConfig

getDriftThresholdsOrThrow(String key)

public ThresholdConfig getDriftThresholdsOrThrow(String key)

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Parameter

Name	Description
key	String

Returns

Type	Description
ThresholdConfig

getParserForType()

public Parser<ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig> getParserForType()

Returns

Type	Description
Parser<PredictionDriftDetectionConfig>

Overrides

GeneratedMessageV3.getParserForType()

getSerializedSize()

public int getSerializedSize()

Returns

Type	Description
int

Overrides

GeneratedMessageV3.getSerializedSize()

getUnknownFields()

public final UnknownFieldSet getUnknownFields()

Returns

Type	Description
UnknownFieldSet

Overrides

GeneratedMessageV3.getUnknownFields()

hasDefaultDriftThreshold()

public boolean hasDefaultDriftThreshold()

Drift anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.

.google.cloud.aiplatform.v1.ThresholdConfig default_drift_threshold = 5;

Returns

Type	Description
boolean	Whether the defaultDriftThreshold 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()

internalGetMapField(int number)

protected MapField internalGetMapField(int number)

Parameter

Name	Description
number	int

Returns

Type	Description
MapField

Overrides

GeneratedMessageV3.internalGetMapField(int fieldNumber)

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilderForType()

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter

Name	Description
parent	BuilderParent

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.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 ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder toBuilder()

Returns

Type	Description
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter

Name	Description
output	CodedOutputStream

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions

Type	Description
IOException