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.