Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureNoiseSigma

Inherits:

Object

• Object
• Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureNoiseSigma

Includes:

Core::Hashable, Core::JsonObjectSupport

Defined in:

lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.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.

Instance Attribute Summary

• #noise_sigma ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureNoiseSigmaNoiseSigmaForFeature>

  Noise sigma per feature.

Instance Method Summary

• #initialize(**args) ⇒ GoogleCloudAiplatformV1beta1FeatureNoiseSigma constructor

  A new instance of GoogleCloudAiplatformV1beta1FeatureNoiseSigma.

• #update!(**args) ⇒ Object

  Update properties of this object.

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1FeatureNoiseSigma

Returns a new instance of GoogleCloudAiplatformV1beta1FeatureNoiseSigma.

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 6529

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#noise_sigma ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureNoiseSigmaNoiseSigmaForFeature>

Noise sigma per feature. No noise is added to features that are not set. Corresponds to the JSON property noiseSigma

Returns:

• (Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureNoiseSigmaNoiseSigmaForFeature>)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 6527

def noise_sigma
  @noise_sigma
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 6534

def update!(**args)
  @noise_sigma = args[:noise_sigma] if args.key?(:noise_sigma)
end