Struct MlSyntheticDataParameters 

#[non_exhaustive]
pub struct MlSyntheticDataParameters {
    pub epsilon: f64,
    pub max_membership_inference_attack_score: f64,
    pub column_classification: Option<ColumnClassificationDetails>,
}

Parameters that control the generation of synthetic data for custom model training, including privacy settings and column classification details.

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.

epsilon: f64

The epsilon value for differential privacy, which controls the privacy-utility tradeoff in synthetic data generation. Lower values provide stronger privacy guarantees but may reduce data utility.

max_membership_inference_attack_score: f64

The maximum acceptable score for membership inference attack vulnerability. Synthetic data generation fails if the score for the resulting data exceeds this threshold.

column_classification: Option<ColumnClassificationDetails>

Classification details for data columns that specify how each column should be treated during synthetic data generation.

Implementations

impl MlSyntheticDataParameters

pub fn epsilon(&self) -> f64

The epsilon value for differential privacy, which controls the privacy-utility tradeoff in synthetic data generation. Lower values provide stronger privacy guarantees but may reduce data utility.

pub fn max_membership_inference_attack_score(&self) -> f64

The maximum acceptable score for membership inference attack vulnerability. Synthetic data generation fails if the score for the resulting data exceeds this threshold.

pub fn column_classification(&self) -> Option<&ColumnClassificationDetails>

Classification details for data columns that specify how each column should be treated during synthetic data generation.

impl MlSyntheticDataParameters

pub fn builder() -> MlSyntheticDataParametersBuilder

Creates a new builder-style object to manufacture MlSyntheticDataParameters.

Trait Implementations

impl Clone for MlSyntheticDataParameters

fn clone(&self) -> MlSyntheticDataParameters

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MlSyntheticDataParameters

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

Formats the value using the given formatter.

impl PartialEq for MlSyntheticDataParameters

fn eq(&self, other: &MlSyntheticDataParameters) -> 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 MlSyntheticDataParameters