Datasets:
David Lippert
another update with a potential improvement applying fading carry-over of each city’s latest temperature departure
dafd0af | # Code | |
| Run from the dataset root (the folder with `submission.csv`): | |
| | File | What it does | | |
| |---|---| | |
| | `baseline.py` | Loads `data/annual_valid.csv`, backtests the forecasting methods at five cutoffs (data ≤ 2018 only), picks one per metric and writes `submission.csv`. `--validate` prints the table only. Includes the departure-persistence methods `pooled15p`, `pooled15h`, `ensPp`, `ensPh` (`persistence_adjust`). | | |
| | `build_features.py` | Builds `data/city_features.csv` (elevation, coast distance, ocean-current influence) from `data/raw/`. Run from inside `data/`. | | |
| | `add_tree_canopy.py` | Adds NLCD tree canopy (2018) to `data/city_features.csv`. Needs internet (MRLC service) and `pillow`. Run from inside `data/`. | | |
| | `policy_ranking.py` | Policy Idea analysis: CDD increase vs. canopy, written to `data/policy_ranking.csv`. | | |
| | `check_submission.py` | The template's checker, the same checks as the Space: `python code/check_submission.py`. Needs `fsspec` and `huggingface_hub`. | | |
| | `requirements.txt` | Python packages. | | |
| | `AGENTS.md` | Data rules for AI agents. | | |
| Steps: `pip install -r code/requirements.txt`, then `python code/baseline.py`, then `python code/check_submission.py`. | |