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THIRD_PARTY_NOTICES.md

# Dependency notices

This archive contains original project code and original synthetic examples. It does not redistribute dependency source/binaries or third-party model weights. The included model.js contains newly trained trees learned from this project’s original synthetic reference, exported using scikit-learn. Install dependencies separately. No public training dataset is copied or used. Models are fitted locally on the explicitly supplied reference data; the included reference fixture is synthetic.

| Dependency | Tested version | Main project license | Source |
|---|---|---|---|
| scikit-learn | 1.8.0 | BSD-3-Clause | https://github.com/scikit-learn/scikit-learn/blob/main/COPYING |
| NumPy | 2.3.5 | BSD-3-Clause | https://github.com/numpy/numpy/blob/main/LICENSE.txt |
| SciPy | 1.17.0 | BSD-3-Clause | https://github.com/scipy/scipy/blob/main/LICENSE.txt |
| joblib | 1.5.3 | BSD-3-Clause | https://github.com/joblib/joblib/blob/main/LICENSE.txt |
| threadpoolctl | 3.6.0 | BSD-3-Clause | https://github.com/joblib/threadpoolctl/blob/master/LICENSE |

License/version information was checked against installed distribution metadata on 14 October 2026; scikit-learn's license was also inspected on its official repository. Permissive main-project licenses allow commercial use subject to their conditions. No endorsement by these projects is claimed.

NumPy and SciPy wheels can contain separately licensed components, including BLAS/LAPACK and GCC runtime libraries. Their full notices accompany the separately installed wheels; those licenses must also be retained and assessed if someone later distributes a binary bundle. This package does not make such a binary distribution. Do not assume that a dependency's primary license covers every bundled component.

The tool's code and synthetic fixture use the BSD-3-Clause license in LICENSE. No legal eligibility, contest acceptance or guaranteed cash payout is established by this notice.