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DiffusionTrainer

datasynth_core::diffusion::training

Struct DiffusionTrainer 

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pub struct DiffusionTrainer;
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Trainer that fits diffusion model parameters from column statistics.

This is a stateless builder: call DiffusionTrainer::fit with the desired parameters, then use the returned TrainedDiffusionModel for generation or persistence.

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impl DiffusionTrainer

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pub fn fit( column_params: Vec<ColumnDiffusionParams>, correlation_matrix: Vec<Vec<f64>>, config: DiffusionConfig, ) -> TrainedDiffusionModel

Fit a diffusion model from per-column statistics and a correlation matrix.

The resulting TrainedDiffusionModel captures the target distribution and can generate new samples via its generate method.

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pub fn evaluate( model: &TrainedDiffusionModel, n_eval_samples: usize, seed: u64, ) -> FitReport

Evaluate a trained model by comparing generated samples against the target statistics captured in the model.

Returns a FitReport with per-column errors, correlation error, and an overall quality score.

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