Module diffusion 

Diffusion model abstraction for statistical data generation.

Implements a pure-Rust statistical diffusion process:

• Forward process: progressively adds noise
• Reverse process: denoises guided by target statistics
• Multiple noise schedules: linear, cosine, sigmoid

Re-exports

pub use backend::*;

pub use hybrid::*;

pub use schedule::*;

pub use statistical::*;

pub use training::*;

pub use utils::*;

Modules

backend

hybrid

Hybrid generator that blends rule-based and diffusion-generated data.

schedule

statistical

Statistical diffusion backend that generates data matching target distributions.

training

Diffusion model training pipeline: fit from column statistics, persist, and evaluate.

utils