public static final class FeatureNoiseSigma.NoiseSigmaForFeature.Builder extends com.google.protobuf.GeneratedMessage.Builder<FeatureNoiseSigma.NoiseSigmaForFeature.Builder> implements FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilder
Noise sigma for a single feature.Protobuf type
google.cloud.aiplatform.v1.FeatureNoiseSigma.NoiseSigmaForFeature| Modifier and Type | Method and Description |
|---|---|
FeatureNoiseSigma.NoiseSigmaForFeature |
build() |
FeatureNoiseSigma.NoiseSigmaForFeature |
buildPartial() |
FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
clear() |
FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
clearName()
The name of the input feature for which noise sigma is provided.
|
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.
|
FeatureNoiseSigma.NoiseSigmaForFeature |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
String |
getName()
The name of the input feature for which noise sigma is provided.
|
com.google.protobuf.ByteString |
getNameBytes()
The name of the input feature for which noise sigma is provided.
|
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.
|
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
mergeFrom(FeatureNoiseSigma.NoiseSigmaForFeature other) |
FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
mergeFrom(com.google.protobuf.Message other) |
FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
setName(String value)
The name of the input feature for which noise sigma is provided.
|
FeatureNoiseSigma.NoiseSigmaForFeature.Builder |
setNameBytes(com.google.protobuf.ByteString value)
The name of the input feature for which noise sigma is provided.
|
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.
|
addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitfindInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<FeatureNoiseSigma.NoiseSigmaForFeature.Builder>public FeatureNoiseSigma.NoiseSigmaForFeature.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessage.Builder<FeatureNoiseSigma.NoiseSigmaForFeature.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<FeatureNoiseSigma.NoiseSigmaForFeature.Builder>public FeatureNoiseSigma.NoiseSigmaForFeature getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic FeatureNoiseSigma.NoiseSigmaForFeature build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic FeatureNoiseSigma.NoiseSigmaForFeature buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic FeatureNoiseSigma.NoiseSigmaForFeature.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<FeatureNoiseSigma.NoiseSigmaForFeature.Builder>public FeatureNoiseSigma.NoiseSigmaForFeature.Builder mergeFrom(FeatureNoiseSigma.NoiseSigmaForFeature other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessage.Builder<FeatureNoiseSigma.NoiseSigmaForFeature.Builder>public FeatureNoiseSigma.NoiseSigmaForFeature.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<FeatureNoiseSigma.NoiseSigmaForFeature.Builder>IOExceptionpublic String getName()
The name of the input feature for which noise sigma is provided. The features are defined in [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
string name = 1;getName in interface FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilderpublic com.google.protobuf.ByteString getNameBytes()
The name of the input feature for which noise sigma is provided. The features are defined in [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
string name = 1;getNameBytes in interface FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilderpublic 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][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
string name = 1;value - The name to set.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][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
string name = 1;public FeatureNoiseSigma.NoiseSigmaForFeature.Builder setNameBytes(com.google.protobuf.ByteString value)
The name of the input feature for which noise sigma is provided. The features are defined in [explanation metadata inputs][google.cloud.aiplatform.v1.ExplanationMetadata.inputs].
string name = 1;value - The bytes for name to set.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][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the noise added to the current feature. Defaults to 0.1.
float sigma = 2;getSigma in interface FeatureNoiseSigma.NoiseSigmaForFeatureOrBuilderpublic 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][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the noise added to the current feature. Defaults to 0.1.
float sigma = 2;value - The sigma to set.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][google.cloud.aiplatform.v1.SmoothGradConfig.noise_sigma] but represents the noise added to the current feature. Defaults to 0.1.
float sigma = 2;Copyright © 2026 Google LLC. All rights reserved.