Class ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder (3.89.0)

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public static final class ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder extends GeneratedMessage.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder> implements ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder

Summary statistics for a population of values.

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

Implements

ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

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

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

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessage.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

GeneratedMessage.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessage.Builder.getUnknownFieldSetBuilder()

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)

GeneratedMessage.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownVarintField(int,int)

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

com.google.protobuf.GeneratedMessage.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessage.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

build()

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue build()

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue

buildPartial()

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue buildPartial()

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue

clear()

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder clear()

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearDistribution()

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder clearDistribution()

Predictive monitoring drift distribution in tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

clearDistributionDeviation()

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder clearDistributionDeviation()

Distribution distance deviation from the current dataset's statistics to baseline dataset's statistics.

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

double distribution_deviation = 2;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	This builder for chaining.

getDefaultInstanceForType()

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue getDefaultInstanceForType()

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getDistribution()

public Value getDistribution()

Predictive monitoring drift distribution in tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Returns
Type	Description
Value	The distribution.

getDistributionBuilder()

public Value.Builder getDistributionBuilder()

Predictive monitoring drift distribution in tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Returns
Type	Description
Builder

getDistributionDeviation()

public double getDistributionDeviation()

Distribution distance deviation from the current dataset's statistics to baseline dataset's statistics.

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

double distribution_deviation = 2;

Returns
Type	Description
double	The distributionDeviation.

getDistributionOrBuilder()

public ValueOrBuilder getDistributionOrBuilder()

Predictive monitoring drift distribution in tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Returns
Type	Description
ValueOrBuilder

hasDistribution()

public boolean hasDistribution()

Predictive monitoring drift distribution in tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Returns
Type	Description
boolean	Whether the distribution field is set.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeDistribution(Value value)

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder mergeDistribution(Value value)

Predictive monitoring drift distribution in tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Parameter
Name	Description
value	Value

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

mergeFrom(ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue other)

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder mergeFrom(ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue other)

Parameter
Name	Description
other	ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

setDistribution(Value value)

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder setDistribution(Value value)

Predictive monitoring drift distribution in tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Parameter
Name	Description
value	Value

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

setDistribution(Value.Builder builderForValue)

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder setDistribution(Value.Builder builderForValue)

Predictive monitoring drift distribution in tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

setDistributionDeviation(double value)

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder setDistributionDeviation(double value)

Distribution distance deviation from the current dataset's statistics to baseline dataset's statistics.

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

double distribution_deviation = 2;

Parameter
Name	Description
value	double The distributionDeviation to set.

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	This builder for chaining.