Class FeatureNoiseSigma.NoiseSigmaForFeature.Builder (3.84.0)

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public static final class FeatureNoiseSigma.NoiseSigmaForFeature.Builder extends GeneratedMessage.Builder<FeatureNoiseSigma.NoiseSigmaForFeature.Builder> implements FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilder

Noise sigma for a single feature.

Protobuf type google.cloud.aiplatform.v1beta1.FeatureNoiseSigma.NoiseSigmaForFeature

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > FeatureNoiseSigma.NoiseSigmaForFeature.Builder

Implements

FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilder

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 FeatureNoiseSigma.NoiseSigmaForFeature build()

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature

buildPartial()

public FeatureNoiseSigma.NoiseSigmaForFeature buildPartial()

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature

clear()

public FeatureNoiseSigma.NoiseSigmaForFeature.Builder clear()

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearName()

public FeatureNoiseSigma.NoiseSigmaForFeature.Builder clearName()

The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.

string name = 1;

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	This builder for chaining.

clearSigma()

public FeatureNoiseSigma.NoiseSigmaForFeature.Builder clearSigma()

This represents the standard deviation of the Gaussian kernel that will be used to add noise to the feature prior to computing gradients. Similar to noise_sigma but represents the noise added to the current feature. Defaults to 0.1.

float sigma = 2;

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	This builder for chaining.

getDefaultInstanceForType()

public FeatureNoiseSigma.NoiseSigmaForFeature getDefaultInstanceForType()

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getName()

public String getName()

The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.

string name = 1;

Returns
Type	Description
String	The name.

getNameBytes()

public ByteString getNameBytes()

The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.

string name = 1;

Returns
Type	Description
ByteString	The bytes for name.

getSigma()

public float getSigma()

This represents the standard deviation of the Gaussian kernel that will be used to add noise to the feature prior to computing gradients. Similar to noise_sigma but represents the noise added to the current feature. Defaults to 0.1.

float sigma = 2;

Returns
Type	Description
float	The sigma.

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()

mergeFrom(FeatureNoiseSigma.NoiseSigmaForFeature other)

public FeatureNoiseSigma.NoiseSigmaForFeature.Builder mergeFrom(FeatureNoiseSigma.NoiseSigmaForFeature other)

Parameter
Name	Description
other	FeatureNoiseSigma.NoiseSigmaForFeature

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public FeatureNoiseSigma.NoiseSigmaForFeature.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public FeatureNoiseSigma.NoiseSigmaForFeature.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder

Overrides

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

setName(String value)

public FeatureNoiseSigma.NoiseSigmaForFeature.Builder setName(String value)

The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.

string name = 1;

Parameter
Name	Description
value	String The name to set.

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	This builder for chaining.

setNameBytes(ByteString value)

public FeatureNoiseSigma.NoiseSigmaForFeature.Builder setNameBytes(ByteString value)

The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.

string name = 1;

Parameter
Name	Description
value	ByteString The bytes for name to set.

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	This builder for chaining.

setSigma(float value)

public FeatureNoiseSigma.NoiseSigmaForFeature.Builder setSigma(float value)

This represents the standard deviation of the Gaussian kernel that will be used to add noise to the feature prior to computing gradients. Similar to noise_sigma but represents the noise added to the current feature. Defaults to 0.1.

float sigma = 2;

Parameter
Name	Description
value	float The sigma to set.

Returns
Type	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	This builder for chaining.