Class FeatureNoiseSigma.NoiseSigmaForFeature.Builder (2.7.4)
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public static final class FeatureNoiseSigma . NoiseSigmaForFeature . Builder extends GeneratedMessageV3 . Builder<FeatureNoiseSigma . NoiseSigmaForFeature . Builder > implements FeatureNoiseSigma . NoiseSigmaForFeatureOrBuilder
Noise sigma for a single feature.
Protobuf type google.cloud.aiplatform.v1.FeatureNoiseSigma.NoiseSigmaForFeature
Static Methods
public static final Descriptors . Descriptor getDescriptor ()
Returns
Methods
public FeatureNoiseSigma . NoiseSigmaForFeature . Builder addRepeatedField ( Descriptors . FieldDescriptor field , Object value )
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Overrides
public FeatureNoiseSigma . NoiseSigmaForFeature build ()
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public FeatureNoiseSigma . NoiseSigmaForFeature buildPartial ()
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public FeatureNoiseSigma . NoiseSigmaForFeature . Builder clear ()
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Overrides
public FeatureNoiseSigma . NoiseSigmaForFeature . Builder clearField ( Descriptors . FieldDescriptor field )
Parameter
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Overrides
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
public FeatureNoiseSigma . NoiseSigmaForFeature . Builder clearOneof ( Descriptors . OneofDescriptor oneof )
Parameter
Returns
Overrides
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;
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public FeatureNoiseSigma . NoiseSigmaForFeature . Builder clone ()
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Overrides
public FeatureNoiseSigma . NoiseSigmaForFeature getDefaultInstanceForType ()
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public Descriptors . Descriptor getDescriptorForType ()
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Overrides
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.
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
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.
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
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Overrides
public final boolean isInitialized ()
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Overrides
public FeatureNoiseSigma . NoiseSigmaForFeature . Builder mergeFrom ( FeatureNoiseSigma . NoiseSigmaForFeature other )
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public FeatureNoiseSigma . NoiseSigmaForFeature . Builder mergeFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
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Exceptions
public FeatureNoiseSigma . NoiseSigmaForFeature . Builder mergeFrom ( Message other )
Parameter
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public final FeatureNoiseSigma . NoiseSigmaForFeature . Builder mergeUnknownFields ( UnknownFieldSet unknownFields )
Parameter
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public FeatureNoiseSigma . NoiseSigmaForFeature . Builder setField ( Descriptors . FieldDescriptor field , Object value )
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Returns
Overrides
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
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
public FeatureNoiseSigma . NoiseSigmaForFeature . Builder setRepeatedField ( Descriptors . FieldDescriptor field , int index , Object value )
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Overrides
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
public final FeatureNoiseSigma . NoiseSigmaForFeature . Builder setUnknownFields ( UnknownFieldSet unknownFields )
Parameter
Returns
Overrides
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Last updated 2026-03-14 UTC.
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