Clayton Young c7c5bc21ff feat(example): add working TimesFM forecast example with global temperature data ...

- Add NOAA GISTEMP global temperature anomaly dataset (36 months, 2022-2024)
- Run TimesFM 1.0 PyTorch forecast for 2025 (12-month horizon)
- Generate fan chart visualization with 80%/90% confidence intervals
- Create comprehensive markdown report with findings and API notes

API Discovery:
- TimesFM 2.5 PyTorch checkpoint has file format issue (model.safetensors
  vs expected torch_model.ckpt)
- Working API uses TimesFmHparams + TimesFmCheckpoint + TimesFm() constructor
- Documented API in GitHub README differs from actual pip package

Includes:
- temperature_anomaly.csv (input data)
- forecast_output.csv (point forecast + quantiles)
- forecast_output.json (machine-readable output)
- forecast_visualization.png (LFS-tracked)
- run_forecast.py (reusable script)
- visualize_forecast.py (chart generation)
- run_example.sh (one-click runner)
- README.md (full report with findings)

2026-02-23 07:43:04 -05:00

1.5 KiB

Executable File

Raw Blame History

View Raw