OpenNest

Go to file

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

docs

docs: add ML angle pruning design spec

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

OpenNest

feat(ui): add elapsed timer to nest progress form

2026-03-14 12:41:14 -04:00

OpenNest.Console

refactor: extract training data collection into OpenNest.Training

2026-03-14 14:41:38 -04:00

OpenNest.Core

refactor: use ShapeProfile perimeter for boundary and intersection