Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::FeatureNoiseSigma::NoiseSigmaForFeature (v0.3.0)

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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FeatureNoiseSigma::NoiseSigmaForFeature.

Noise sigma for a single feature.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#name

def name() -> ::String
Returns
  • (::String) — The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.

#name=

def name=(value) -> ::String
Parameter
  • value (::String) — The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.
Returns
  • (::String) — The name of the input feature for which noise sigma is provided. The features are defined in explanation metadata inputs.

#sigma

def sigma() -> ::Float
Returns
  • (::Float) — 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.

#sigma=

def sigma=(value) -> ::Float
Parameter
  • value (::Float) — 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.
Returns
  • (::Float) — 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.