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THIRD_PARTY_LICENSES.md

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Third-Party Software

This project contains code or documentation derived from the following third-party projects. Runtime, test, and documentation dependencies are declared in pyproject.toml/uv.lock, and example/benchmark dependencies are resolved separately and are not bundled with this repository.

scikit-learn

scikit-learn is an optional dependency installed with structured-data-models[prior]; its source code is not bundled with this repository.

TabICLv2

The sdm/models/tabiclv2/ and sdm/models/kumo/relational implementations contain code derived from TabICLv2.

TabFM

The sdm/models/tabfm/ implementation contains code derived from TabFM. Its weights are not bundled with this project and may be downloaded only after the user accepts their separate license.

TimesFM 3.0

The sdm/models/timesfm3/ implementation contains code derived from TimesFM. Its weights are not bundled with this project and may be downloaded only after the user accepts their separate license.

Timestral

The sdm/models/timestral/ implementation contain code derived from Timestral.

DPM-Solver

The sdm/models/kumo/timeseries/anomaly implementation contains code derived from DPM-Solver.

TabPFN Extensions

The sdm/models/ecoc.py implementation contains code derived from TabPFN Extensions.

PyTorch Contribution Guide

Portions of CONTRIBUTING.md are adapted from the PyTorch contribution guide, distributed under the BSD 3-Clause License. The complete copyright notices and license terms are distributed in third_party/pytorch/LICENSE.

Contributor Covenant

CODE_OF_CONDUCT.md is adapted from Contributor Covenant version 1.4, distributed under the MIT License. The complete copyright notice and license terms are distributed in third_party/contributor-covenant/LICENSE.