Files
claude-scientific-skills/scientific-skills/timesfm-forecasting/examples/global-temperature/animation_data.json
Clayton Young 1506a60993 feat(example): add interactive forecast animation with slider
Create an all-out demonstration showing how TimesFM forecasts evolve
as more historical data is added:

- generate_animation_data.py: Runs 25 incremental forecasts (12→36 points)
- interactive_forecast.html: Single-file HTML with Chart.js slider
  - Play/Pause animation control
  - Shows historical data, forecast, 80%/90% CIs, and actual future data
  - Live stats: forecast mean, max, min, CI width
- generate_gif.py: Creates animated GIF for embedding in markdown
- forecast_animation.gif: 25-frame animation (896 KB)

Interactive features:
- Slider to manually step through forecast evolution
- Auto-play with 500ms per frame
- Shows how each additional data point changes the forecast
- Confidence intervals narrow as more data is added
2026-02-23 07:43:04 -05:00

3615 lines
83 KiB
JSON

{
"metadata": {
"model": "TimesFM 1.0 (200M) PyTorch",
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"data_source": "NOAA GISTEMP Global Temperature Anomaly",
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