Struct FeatureNoiseSigma 

#[non_exhaustive]
pub struct FeatureNoiseSigma {
    pub noise_sigma: Vec<NoiseSigmaForFeature>,
    /* private fields */
}

Available on crate features dataset-service or deployment-resource-pool-service or endpoint-service or job-service or model-service or pipeline-service or prediction-service only.

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.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

noise_sigma: Vec<NoiseSigmaForFeature>

Noise sigma per feature. No noise is added to features that are not set.

Implementations

impl FeatureNoiseSigma

pub fn new() -> Self

Creates a new default instance.

pub fn set_noise_sigma<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<NoiseSigmaForFeature>,

Sets the value of noise_sigma.

Example

use google_cloud_aiplatform_v1::model::feature_noise_sigma::NoiseSigmaForFeature;
let x = FeatureNoiseSigma::new()
    .set_noise_sigma([
        NoiseSigmaForFeature::default()/* use setters */,
        NoiseSigmaForFeature::default()/* use (different) setters */,
    ]);

Trait Implementations

impl Clone for FeatureNoiseSigma

fn clone(&self) -> FeatureNoiseSigma

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FeatureNoiseSigma

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

Formats the value using the given formatter.

impl Default for FeatureNoiseSigma

fn default() -> FeatureNoiseSigma

Returns the “default value” for a type.

impl Message for FeatureNoiseSigma

fn typename() -> &'static str

The typename of this message.

impl PartialEq for FeatureNoiseSigma

fn eq(&self, other: &FeatureNoiseSigma) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for FeatureNoiseSigma