Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FeatureNoiseSigma.
Noise sigma by features. Noise sigma represents the standard deviation of the gaussian kernel that will be used to add noise to interpolated inputs prior to computing gradients.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#noise_sigma
def noise_sigma() -> ::Array<::Google::Cloud::AIPlatform::V1::FeatureNoiseSigma::NoiseSigmaForFeature>
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::FeatureNoiseSigma::NoiseSigmaForFeature>) — Noise sigma per feature. No noise is added to features that are not set.
#noise_sigma=
def noise_sigma=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::FeatureNoiseSigma::NoiseSigmaForFeature>
Parameter
- value (::Array<::Google::Cloud::AIPlatform::V1::FeatureNoiseSigma::NoiseSigmaForFeature>) — Noise sigma per feature. No noise is added to features that are not set.
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::FeatureNoiseSigma::NoiseSigmaForFeature>) — Noise sigma per feature. No noise is added to features that are not set.