initial commit FESurrogateModelTutorial

2026-05-21 17:03:51 +09:00
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+# Step 1: model-notebooks
+
+## 읽어야 할 파일
+
+- `/AGENTS.md`
+- `/docs/theory/02_response_surface_methodology.md`
+- `/docs/theory/03_gaussian_process_kriging.md`
+- `/docs/theory/04_random_forest.md`
+- `/docs/theory/05_gradient_boosting.md`
+- `/docs/theory/06_mlp_neural_network.md`
+- `/src/femsurrogate/surrogates/`
+- `/src/femsurrogate/plotting/`
+
+## 작업
+
+모델별 notebook 5개를 만든다.
+
+- `notebooks/01_response_surface_surrogate.ipynb`
+- `notebooks/02_gaussian_process_kriging_surrogate.ipynb`
+- `notebooks/03_random_forest_surrogate.ipynb`
+- `notebooks/04_gradient_boosting_surrogate.ipynb`
+- `notebooks/05_mlp_surrogate.ipynb`
+
+각 notebook은 같은 dataset, target, split seed를 쓰고 metric JSON과 prediction CSV를 저장한다.
+
+## Acceptance Criteria
+
+```powershell
+uv run jupyter nbconvert --to notebook --execute notebooks/01_response_surface_surrogate.ipynb
+uv run jupyter nbconvert --to notebook --execute notebooks/02_gaussian_process_kriging_surrogate.ipynb
+uv run jupyter nbconvert --to notebook --execute notebooks/03_random_forest_surrogate.ipynb
+uv run jupyter nbconvert --to notebook --execute notebooks/04_gradient_boosting_surrogate.ipynb
+uv run jupyter nbconvert --to notebook --execute notebooks/05_mlp_surrogate.ipynb
+uv run ruff check .
+```
+
+## 금지사항
+
+- 모델별로 다른 split을 쓰지 마라.