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| File | Description |
|---|---|
| posterior_burn_slab_n1.pt | Posterior model (.pt) |
| posterior_external_dispersion_n1.pt | Posterior model (.pt) |
| posterior_faraday_thin_n1.pt | Posterior model (.pt) |
| posterior_internal_dispersion_n1.pt | Posterior model (.pt) |
| training_burn_slab_n1.png | Training plot |
| training_external_dispersion_n1.png | Training plot |
| training_faraday_thin_n1.png | Training plot |
| training_internal_dispersion_n1.png | Training plot |
| training_summary.txt | Summary file |
1from vroom_sbi.inference import InferenceEngine
2
3# Load models
4engine = InferenceEngine(model_dir="path/to/downloaded/models")
5engine.load_models()
6
7# Run inference
8result, all_results = engine.infer(qu_obs)
9print(f"Best model: {result.n_components} components")[Citation information to be added]