Class ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig (3.45.0)

public static final class ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig extends GeneratedMessageV3 implements ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.

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

Inheritance

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

Static Fields

ATTRIBUTION_SCORE_SKEW_THRESHOLDS_FIELD_NUMBER

public static final int ATTRIBUTION_SCORE_SKEW_THRESHOLDS_FIELD_NUMBER
Field Value
Type Description
int

DEFAULT_SKEW_THRESHOLD_FIELD_NUMBER

public static final int DEFAULT_SKEW_THRESHOLD_FIELD_NUMBER
Field Value
Type Description
int

SKEW_THRESHOLDS_FIELD_NUMBER

public static final int SKEW_THRESHOLDS_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getDefaultInstance()
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

getDescriptor()

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

newBuilder()

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilder()
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder

newBuilder(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig prototype)

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilder(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig prototype)
Parameter
Name Description
prototype ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder

parseDelimitedFrom(InputStream input)

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

parseFrom(byte[] data)

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

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

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

parseFrom(ByteString data)

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

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

parseFrom(CodedInputStream input)

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

parseFrom(InputStream input)

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

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

parseFrom(ByteBuffer data)

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

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

parser()

public static Parser<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig> parser()
Returns
Type Description
Parser<TrainingPredictionSkewDetectionConfig>

Methods

containsAttributionScoreSkewThresholds(String key)

public boolean containsAttributionScoreSkewThresholds(String key)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.

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

Parameter
Name Description
key String
Returns
Type Description
boolean

containsSkewThresholds(String key)

public boolean containsSkewThresholds(String key)

Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_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

getAttributionScoreSkewThresholds() (deprecated)

public Map<String,ThresholdConfig> getAttributionScoreSkewThresholds()
Returns
Type Description
Map<String,ThresholdConfig>

getAttributionScoreSkewThresholdsCount()

public int getAttributionScoreSkewThresholdsCount()

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.

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

Returns
Type Description
int

getAttributionScoreSkewThresholdsMap()

public Map<String,ThresholdConfig> getAttributionScoreSkewThresholdsMap()

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.

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

Returns
Type Description
Map<String,ThresholdConfig>

getAttributionScoreSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public ThresholdConfig getAttributionScoreSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.

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

Parameters
Name Description
key String
defaultValue ThresholdConfig
Returns
Type Description
ThresholdConfig

getAttributionScoreSkewThresholdsOrThrow(String key)

public ThresholdConfig getAttributionScoreSkewThresholdsOrThrow(String key)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.

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

Parameter
Name Description
key String
Returns
Type Description
ThresholdConfig

getDefaultInstanceForType()

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getDefaultInstanceForType()
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

getDefaultSkewThreshold()

public ThresholdConfig getDefaultSkewThreshold()

Skew 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_skew_threshold = 6;

Returns
Type Description
ThresholdConfig

The defaultSkewThreshold.

getDefaultSkewThresholdOrBuilder()

public ThresholdConfigOrBuilder getDefaultSkewThresholdOrBuilder()

Skew 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_skew_threshold = 6;

Returns
Type Description
ThresholdConfigOrBuilder

getParserForType()

public Parser<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig> getParserForType()
Returns
Type Description
Parser<TrainingPredictionSkewDetectionConfig>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

getSkewThresholds() (deprecated)

public Map<String,ThresholdConfig> getSkewThresholds()
Returns
Type Description
Map<String,ThresholdConfig>

getSkewThresholdsCount()

public int getSkewThresholdsCount()

Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.

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

Returns
Type Description
int

getSkewThresholdsMap()

public Map<String,ThresholdConfig> getSkewThresholdsMap()

Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.

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

Returns
Type Description
Map<String,ThresholdConfig>

getSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public ThresholdConfig getSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)

Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.

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

Parameters
Name Description
key String
defaultValue ThresholdConfig
Returns
Type Description
ThresholdConfig

getSkewThresholdsOrThrow(String key)

public ThresholdConfig getSkewThresholdsOrThrow(String key)

Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.

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

Parameter
Name Description
key String
Returns
Type Description
ThresholdConfig

hasDefaultSkewThreshold()

public boolean hasDefaultSkewThreshold()

Skew 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_skew_threshold = 6;

Returns
Type Description
boolean

Whether the defaultSkewThreshold field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

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

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilderForType()
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

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

toBuilder()

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder toBuilder()
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder

writeTo(CodedOutputStream output)

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