Fetching metadata from the HF Docker repository... 30 days ago
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Record ensemble train-test diagnostics for reviewer revision
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Complete reviewer 2026-09 revision
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fix: frontend metrics & added model selection for recommendations
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fix:v3
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feat: v3 models - XGBoost R2=0.9866, GradientBoosting R2=0.9860 as default
- Add registry_v3 singleton (artifacts/v3/), set as default registry
- Add api/routers/predict_v3.py (/api/v3/* endpoints)
- Update simulate.py router prefix to /api/v3/, use registry_v3
- Update main.py: load v3 at startup, version 3.0.0, expose /api/v3
- Update model_registry.py: v3 R2 values, v3-prefixed scaler loading
- Update download_models.py: v3 as default check
- Update upload_models_to_hub.py: add v3 to upload loop
- Update frontend: default API version to v3, add v3 type support
- Rebuild frontend dist
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Add notebooks
