AJ Isaacs 954831664a docs: add ML angle pruning design spec ...

Design for training an XGBoost model to predict which rotation
angles are worth trying during FillLinear, reducing the 36-angle
sweep to 4-8 predicted angles in narrow-work-area cases.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-14 20:05:03 -04:00

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plans

docs: add GPU debug, test harness, and contour reindexing plans

2026-03-13 20:30:00 -04:00

superpowers

docs: add ML angle pruning design spec

2026-03-14 20:05:03 -04:00