{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/foundcause","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/8dd3596d-bbed-4f82-bcb1-189231607b92","json_url":"https://onlylabs.fyi/signals/8dd3596d-bbed-4f82-bcb1-189231607b92/signal.json","generated_at":"2026-06-26T23:22:27.596Z","evidence_latest_fetched_at":"2026-06-17T07:02:55.795851+00:00","signal_first_seen_at":"2026-06-17T07:01:21.192218+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/8dd3596d-bbed-4f82-bcb1-189231607b92","signal_json":"https://onlylabs.fyi/signals/8dd3596d-bbed-4f82-bcb1-189231607b92/signal.json","source":"https://github.com/amazon-science/foundcause","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/foundcause (Python). 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Load a CSV of observational data and get back a predicted directed acyclic graph and a hidden-confounder matrix in a single forward pass. Contents - `foundcause.py` — model code (required for loading the checkpoint) - `predict.py` — CLI inference script - `checkpoint.pt` — pretrained weights (~1.6 GB, ~139M parameters), distributed as a [GitHub Release asset](https://github.com/amazon-science/foundcause/releases/latest) rather than in the git repository (it exceeds GitHub's 100 MB file limit) Installation ```bash pip install torch numpy pandas networkx scikit-learn scipy schedulefree ``` Download the pretrained weights The `checkpoint.pt` weights are not part of the git clone. 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