3 Commits

Author	SHA1	Message	Date
Clayton Young	df58339850	feat(timesfm): complete all three examples with quality docs ... - anomaly-detection: full two-phase rewrite (context Z-score + forecast PI), 2-panel viz, Sep 2023 correctly flagged CRITICAL (z=+3.03) - covariates-forecasting: v3 rewrite with variable-shadowing bug fixed, 2x2 shared-axis viz showing actionable covariate decomposition, 108-row CSV with distinct per-store price arrays - global-temperature: output/ subfolder reorganization (all 6 output files moved, 5 scripts + shell script paths updated) - SKILL.md: added Examples table, Quality Checklist, Common Mistakes (8 items), Validation & Verification with regression assertions - .gitattributes already at repo root covering all binary types	2026-02-23 07:43:04 -05:00
Clayton Young	96372cee99	feat(animation): extend forecasts to final date with dynamic horizon ... - Each forecast now extends to 2025-12 regardless of historical data length - Step 1 (12 points): forecasts 36 months ahead to 2025-12 - Step 25 (36 points): forecasts 12 months ahead to 2025-12 - GIF shows full forecast horizon at every animation step	2026-02-23 07:43:04 -05:00
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