Package com.google.cloud.aiplatform.v1

Class ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

java.lang.Object

com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessage

com.google.protobuf.GeneratedMessage

com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

All Implemented Interfaces:

ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable

Enclosing class:

ModelMonitoringObjectiveConfig

public static final class ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
extends com.google.protobuf.GeneratedMessage
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

See Also:

• Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final class	ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	The config for Training & Prediction data skew detection.

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessage

com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.FieldAccessorTable, com.google.protobuf.GeneratedMessage.GeneratedExtension<ContainingT extends com.google.protobuf.Message,T extends Object>, com.google.protobuf.GeneratedMessage.UnusedPrivateParameter

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessage

com.google.protobuf.AbstractMessage.BuilderParent

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field	Description
static final int	ATTRIBUTION_SCORE_SKEW_THRESHOLDS_FIELD_NUMBER
static final int	DEFAULT_SKEW_THRESHOLD_FIELD_NUMBER
static final int	SKEW_THRESHOLDS_FIELD_NUMBER

Fields inherited from class com.google.protobuf.GeneratedMessage

alwaysUseFieldBuilders, loggedPre22TypeNames, unknownFields

Fields inherited from class com.google.protobuf.AbstractMessage

memoizedSize

Fields inherited from class com.google.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method	Description
boolean	containsAttributionScoreSkewThresholds(String key)	Key is the feature name and value is the threshold.
boolean	containsSkewThresholds(String key)	Key is the feature name and value is the threshold.
boolean	equals(Object obj)
Map<String,ThresholdConfig>	getAttributionScoreSkewThresholds()	Deprecated.
int	getAttributionScoreSkewThresholdsCount()	Key is the feature name and value is the threshold.
Map<String,ThresholdConfig>	getAttributionScoreSkewThresholdsMap()	Key is the feature name and value is the threshold.
ThresholdConfig	getAttributionScoreSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)	Key is the feature name and value is the threshold.
ThresholdConfig	getAttributionScoreSkewThresholdsOrThrow(String key)	Key is the feature name and value is the threshold.
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	getDefaultInstance()
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	getDefaultInstanceForType()
ThresholdConfig	getDefaultSkewThreshold()	Skew anomaly detection threshold used by all features.
ThresholdConfigOrBuilder	getDefaultSkewThresholdOrBuilder()	Skew anomaly detection threshold used by all features.
static final com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Parser<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig>	getParserForType()
int	getSerializedSize()
Map<String,ThresholdConfig>	getSkewThresholds()	Deprecated.
int	getSkewThresholdsCount()	Key is the feature name and value is the threshold.
Map<String,ThresholdConfig>	getSkewThresholdsMap()	Key is the feature name and value is the threshold.
ThresholdConfig	getSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)	Key is the feature name and value is the threshold.
ThresholdConfig	getSkewThresholdsOrThrow(String key)	Key is the feature name and value is the threshold.
boolean	hasDefaultSkewThreshold()	Skew anomaly detection threshold used by all features.
int	hashCode()
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
protected com.google.protobuf.MapFieldReflectionAccessor	internalGetMapFieldReflection(int number)
final boolean	isInitialized()
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	newBuilder()
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	newBuilder(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig prototype)
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	newBuilderForType()
protected ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseDelimitedFrom(InputStream input)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(byte[] data)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(com.google.protobuf.ByteString data)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(com.google.protobuf.CodedInputStream input)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(InputStream input)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(ByteBuffer data)
static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig>	parser()
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Methods inherited from class com.google.protobuf.GeneratedMessage

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, newFileScopedGeneratedExtension, newInstance, newMessageScopedGeneratedExtension, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class com.google.protobuf.AbstractMessage

findInitializationErrors, getInitializationErrorString, hashFields, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite

addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageLite

toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Field Details

SKEW_THRESHOLDS_FIELD_NUMBER

public static final int SKEW_THRESHOLDS_FIELD_NUMBER

See Also:

• Constant Field Values

ATTRIBUTION_SCORE_SKEW_THRESHOLDS_FIELD_NUMBER

public static final int ATTRIBUTION_SCORE_SKEW_THRESHOLDS_FIELD_NUMBER

See Also:

• Constant Field Values

DEFAULT_SKEW_THRESHOLD_FIELD_NUMBER

public static final int DEFAULT_SKEW_THRESHOLD_FIELD_NUMBER

See Also:

• Constant Field Values

Method Details

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetMapFieldReflection

protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)

Overrides:

internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessage

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage

getSkewThresholdsCount

public int getSkewThresholdsCount()

Description copied from interface: ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

 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;

Specified by:

getSkewThresholdsCount in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

containsSkewThresholds

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;

Specified by:

containsSkewThresholds in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getSkewThresholds

@Deprecated
public Map<String,ThresholdConfig> getSkewThresholds()

Deprecated.

Use getSkewThresholdsMap() instead.

Specified by:

getSkewThresholds in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

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;

Specified by:

getSkewThresholdsMap in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getSkewThresholdsOrDefault

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;

Specified by:

getSkewThresholdsOrDefault in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getSkewThresholdsOrThrow

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;

Specified by:

getSkewThresholdsOrThrow in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getAttributionScoreSkewThresholdsCount

public int getAttributionScoreSkewThresholdsCount()

Description copied from interface: ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

 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;

Specified by:

getAttributionScoreSkewThresholdsCount in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

containsAttributionScoreSkewThresholds

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;

Specified by:

containsAttributionScoreSkewThresholds in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getAttributionScoreSkewThresholds

@Deprecated
public Map<String,ThresholdConfig> getAttributionScoreSkewThresholds()

Deprecated.

Use getAttributionScoreSkewThresholdsMap() instead.

Specified by:

getAttributionScoreSkewThresholds in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

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;

Specified by:

getAttributionScoreSkewThresholdsMap in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getAttributionScoreSkewThresholdsOrDefault

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;

Specified by:

getAttributionScoreSkewThresholdsOrDefault in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

getAttributionScoreSkewThresholdsOrThrow

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;

Specified by:

getAttributionScoreSkewThresholdsOrThrow in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

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;

Specified by:

hasDefaultSkewThreshold in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

Returns:

Whether the defaultSkewThreshold field is set.

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;

Specified by:

getDefaultSkewThreshold in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

Returns:

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;

Specified by:

getDefaultSkewThresholdOrBuilder in interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessage

writeTo

public void writeTo(com.google.protobuf.CodedOutputStream output)
             throws IOException

Specified by:

writeTo in interface com.google.protobuf.MessageLite

Overrides:

writeTo in class com.google.protobuf.GeneratedMessage

Throws:

IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface com.google.protobuf.MessageLite

Overrides:

getSerializedSize in class com.google.protobuf.GeneratedMessage

equals

public boolean equals(Object obj)

Specified by:

equals in interface com.google.protobuf.Message

Overrides:

equals in class com.google.protobuf.AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface com.google.protobuf.Message

Overrides:

hashCode in class com.google.protobuf.AbstractMessage

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(ByteBuffer data)
                                                                                      throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(ByteBuffer data,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                                      throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(com.google.protobuf.ByteString data)
                                                                                      throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(com.google.protobuf.ByteString data,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                                      throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(byte[] data)
                                                                                      throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(byte[] data,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                                      throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(InputStream input)
                                                                                      throws IOException

Throws:

IOException

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(InputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                                      throws IOException

Throws:

IOException

parseDelimitedFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseDelimitedFrom(InputStream input)
                                                                                               throws IOException

Throws:

IOException

parseDelimitedFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseDelimitedFrom(InputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                                               throws IOException

Throws:

IOException

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(com.google.protobuf.CodedInputStream input)
                                                                                      throws IOException

Throws:

IOException

parseFrom

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig parseFrom(com.google.protobuf.CodedInputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                                      throws IOException

Throws:

IOException

newBuilderForType

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilderForType()

Specified by:

newBuilderForType in interface com.google.protobuf.Message

Specified by:

newBuilderForType in interface com.google.protobuf.MessageLite

newBuilder

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilder()

newBuilder

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

toBuilder

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder toBuilder()

Specified by:

toBuilder in interface com.google.protobuf.Message

Specified by:

toBuilder in interface com.google.protobuf.MessageLite

newBuilderForType

protected ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)

Overrides:

newBuilderForType in class com.google.protobuf.AbstractMessage

getDefaultInstance

public static ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getDefaultInstance()

parser

public static com.google.protobuf.Parser<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig> parser()

getParserForType

public com.google.protobuf.Parser<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig> getParserForType()

Specified by:

getParserForType in interface com.google.protobuf.Message

Specified by:

getParserForType in interface com.google.protobuf.MessageLite

Overrides:

getParserForType in class com.google.protobuf.GeneratedMessage

getDefaultInstanceForType

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder