Uses of Class
com.google.cloud.aiplatform.v1.FeatureNoiseSigma.NoiseSigmaForFeature.Builder

Packages that use FeatureNoiseSigma.NoiseSigmaForFeature.Builder

Package	Description
com.google.cloud.aiplatform.v1	A client to Vertex AI API

Uses of FeatureNoiseSigma.NoiseSigmaForFeature.Builder in com.google.cloud.aiplatform.v1

Methods in com.google.cloud.aiplatform.v1 that return FeatureNoiseSigma.NoiseSigmaForFeature.Builder

Modifier and Type	Method	Description
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.Builder.addNoiseSigmaBuilder()	Noise sigma per feature.
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.Builder.addNoiseSigmaBuilder(int index)	Noise sigma per feature.
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.clear()
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.clearName()	The name of the input feature for which noise sigma is provided.
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	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.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.clone()
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.Builder.getNoiseSigmaBuilder(int index)	Noise sigma per feature.
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.mergeFrom(FeatureNoiseSigma.NoiseSigmaForFeature other)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.mergeFrom(com.google.protobuf.Message other)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
static FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.newBuilder()
static FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.newBuilder(FeatureNoiseSigma.NoiseSigmaForFeature prototype)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.newBuilderForType()
protected FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.setName(String value)	The name of the input feature for which noise sigma is provided.
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.setNameBytes(com.google.protobuf.ByteString value)	The name of the input feature for which noise sigma is provided.
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	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.
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
FeatureNoiseSigma.NoiseSigmaForFeature.Builder	FeatureNoiseSigma.NoiseSigmaForFeature.toBuilder()

Methods in com.google.cloud.aiplatform.v1 that return types with arguments of type FeatureNoiseSigma.NoiseSigmaForFeature.Builder

Modifier and Type	Method	Description
List<FeatureNoiseSigma.NoiseSigmaForFeature.Builder>	FeatureNoiseSigma.Builder.getNoiseSigmaBuilderList()	Noise sigma per feature.

Methods in com.google.cloud.aiplatform.v1 with parameters of type FeatureNoiseSigma.NoiseSigmaForFeature.Builder

Modifier and Type	Method	Description
FeatureNoiseSigma.Builder	FeatureNoiseSigma.Builder.addNoiseSigma(int index, FeatureNoiseSigma.NoiseSigmaForFeature.Builder builderForValue)	Noise sigma per feature.
FeatureNoiseSigma.Builder	FeatureNoiseSigma.Builder.addNoiseSigma(FeatureNoiseSigma.NoiseSigmaForFeature.Builder builderForValue)	Noise sigma per feature.
FeatureNoiseSigma.Builder	FeatureNoiseSigma.Builder.setNoiseSigma(int index, FeatureNoiseSigma.NoiseSigmaForFeature.Builder builderForValue)	Noise sigma per feature.