Struct HybridGenerator 

pub struct HybridGenerator { /* private fields */ }

A hybrid generator that blends rule-based and diffusion-generated data.

The weight parameter controls the balance:

• 0.0 = pure rule-based output
• 1.0 = pure diffusion output
• Values between blend according to the chosen strategy

Implementations

impl HybridGenerator

pub fn new(weight: f64) -> Self

Create a new hybrid generator with the given weight.

The weight is clamped to [0.0, 1.0].

pub fn weight(&self) -> f64

Get the current blending weight.

pub fn blend( &self, rule_based: &[Vec<f64>], diffusion: &[Vec<f64>], strategy: BlendStrategy, seed: u64, ) -> Vec<Vec<f64>>

Blend rule-based and diffusion-generated data using the specified strategy.

Both input slices must have the same number of rows and columns. For Ensemble strategy, all columns will use the weight for interpolation; use blend_ensemble for column-level control.

Arguments

• rule_based - Data generated by rule-based methods
• diffusion - Data generated by diffusion methods
• strategy - How to blend the two sources
• seed - Random seed for deterministic blending

pub fn blend_ensemble( &self, rule_based: &[Vec<f64>], diffusion: &[Vec<f64>], diffusion_columns: &[usize], ) -> Vec<Vec<f64>>

Blend using column-level ensemble: specified columns use diffusion data, remaining columns use rule-based data.

Arguments

• rule_based - Data generated by rule-based methods
• diffusion - Data generated by diffusion methods
• diffusion_columns - Column indices that should use diffusion output

Trait Implementations

impl Clone for HybridGenerator

fn clone(&self) -> HybridGenerator

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for HybridGenerator

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

Formats the value using the given formatter.