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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.