Struct GoogleCloudAiplatformV1beta1SmoothGradConfig 

pub struct GoogleCloudAiplatformV1beta1SmoothGradConfig {
    pub feature_noise_sigma: Option<GoogleCloudAiplatformV1beta1FeatureNoiseSigma>,
    pub noise_sigma: Option<f32>,
    pub noisy_sample_count: Option<i32>,
}

Config for SmoothGrad approximation of gradients. When enabled, the gradients are approximated by averaging the gradients from noisy samples in the vicinity of the inputs. Adding noise can help improve the computed gradients. Refer to this paper for more details: https://arxiv.org/pdf/1706.03825.pdf

This type is not used in any activity, and only used as part of another schema.

Fields

feature_noise_sigma: Option<GoogleCloudAiplatformV1beta1FeatureNoiseSigma>

This is similar to noise_sigma, but provides additional flexibility. A separate noise sigma can be provided for each feature, which is useful if their distributions are different. No noise is added to features that are not set. If this field is unset, noise_sigma will be used for all features.

noise_sigma: Option<f32>

This is a single float value and will be used to add noise to all the features. Use this field when all features are normalized to have the same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where features are normalized to have 0-mean and 1-variance. Learn more about normalization. For best results the recommended value is about 10% - 20% of the standard deviation of the input feature. Refer to section 3.2 of the SmoothGrad paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1. If the distribution is different per feature, set feature_noise_sigma instead for each feature.

noisy_sample_count: Option<i32>

The number of gradient samples to use for approximation. The higher this number, the more accurate the gradient is, but the runtime complexity increases by this factor as well. Valid range of its value is [1, 50]. Defaults to 3.

Trait Implementations

impl Clone for GoogleCloudAiplatformV1beta1SmoothGradConfig

fn clone(&self) -> GoogleCloudAiplatformV1beta1SmoothGradConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GoogleCloudAiplatformV1beta1SmoothGradConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for GoogleCloudAiplatformV1beta1SmoothGradConfig

fn default() -> GoogleCloudAiplatformV1beta1SmoothGradConfig

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GoogleCloudAiplatformV1beta1SmoothGradConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for GoogleCloudAiplatformV1beta1SmoothGradConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for GoogleCloudAiplatformV1beta1SmoothGradConfig