Class: Google::Cloud::AIPlatform::V1::FeatureNoiseSigma
- Inherits:
-
Object
- Object
- Google::Cloud::AIPlatform::V1::FeatureNoiseSigma
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/aiplatform/v1/explanation.rb
Overview
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.
Defined Under Namespace
Classes: NoiseSigmaForFeature
Instance Attribute Summary collapse
-
#noise_sigma ⇒ ::Array<::Google::Cloud::AIPlatform::V1::FeatureNoiseSigma::NoiseSigmaForFeature>
Noise sigma per feature.
Instance Attribute Details
#noise_sigma ⇒ ::Array<::Google::Cloud::AIPlatform::V1::FeatureNoiseSigma::NoiseSigmaForFeature>
Returns Noise sigma per feature. No noise is added to features that are not set.
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# File 'proto_docs/google/cloud/aiplatform/v1/explanation.rb', line 369 class FeatureNoiseSigma include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Noise sigma for a single feature. # @!attribute [rw] name # @return [::String] # The name of the input feature for which noise sigma is provided. The # features are defined in # {::Google::Cloud::AIPlatform::V1::ExplanationMetadata#inputs explanation metadata inputs}. # @!attribute [rw] sigma # @return [::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 {::Google::Cloud::AIPlatform::V1::SmoothGradConfig#noise_sigma noise_sigma} but represents the # noise added to the current feature. Defaults to 0.1. class NoiseSigmaForFeature include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |