Class Google::Cloud::AIPlatform::V1::FeatureNoiseSigma (v0.1.0)

Version 0.1.0

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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.