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Package to Train LANs (Likelihood approximation networks)
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Read the full README ↗LANfactory trains likelihood approximation networks (LANs), choice probability networks (CPNs), and option probability networks (OPNs) with PyTorch or JAX/Flax. It exports concrete-shape ONNX artifacts for use as likelihoods in HSSM.
Documentation · Start with the PyTorch tutorial · API reference · HSSM ecosystem map
pip install lanfactory
Optional integrations are available through the mlflow, hf, sbi, and
bayesflow extras, or together through lanfactory[all]. The documentation is
the canonical source for training, export, configuration, and sharing guidance.
Install the development environment and run the package gates:
uv sync --all-groups
uv run pytest tests/
uv run ruff check src/lanfactory
uv run ruff format --check .
Build or serve the documentation through the repository-owned entry point:
./scripts/docs.sh build
./scripts/docs.sh serve
Notebook execution remains a separate package test workflow; the documentation build renders the committed notebook outputs without executing them.
Use the archived LANfactory release DOI: 10.5281/zenodo.17137303.