| recICL |
| Copyright 2026 devtaji |
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| This product includes software developed by SAP SE and the tabular-ai-recpfn contributors: |
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| RecPFN - https://github.com/SAP-samples/tabular-ai-recpfn (upstream commit 1af320c) |
| Copyright 2026 SAP SE or an SAP affiliate company and tabular-ai-recpfn contributors |
| Licensed under the Apache License, Version 2.0 (see LICENSE) |
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| Files copied from that project (from its src/ directory) into recicl/. Every copied file is modified, and |
| the header of each file states the changes: |
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| recicl/config.py header added; code unchanged |
| recicl/constants.py header added; code unchanged |
| recicl/architecture/__init__.py imports made package-relative |
| recicl/architecture/base.py imports made package-relative |
| recicl/architecture/util.py imports made package-relative |
| recicl/architecture/recpfn.py imports made package-relative |
| recicl/architecture/emb_knn.py imports made package-relative; 'last' baseline mode added |
| recicl/context_selector/__init__.py imports made package-relative |
| recicl/context_selector/selector.py imports made package-relative |
| recicl/util/metrics.py imports made package-relative |
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| New files (not from SAP): recicl/__init__.py, recicl/inference.py, recicl/util/__init__.py, |
| example.py, config.json, requirements.txt, README.md, eval/results.json. |
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| Model weights (model.safetensors): trained by devtaji from random initialisation with SAP's training code (upstream |
| commit 1af320c plus patches that do not change the training math: resumable checkpoints, logging, NaN diagnostics and |
| an extra evaluation baseline) on a synthetic prior built by devtaji. They are not SAP's weights. SAP SE and the |
| RecPFN authors have not reviewed or endorsed this model. |
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| The RecPFN paper (arXiv:2608.19735, SIGIR '26) is licensed CC BY-NC-ND 4.0. It is cited, not included. |
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