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ajandClaude Opus 4.6 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
2026-03-14 12:41:03 -04:00
OpenNest.Engine
feat(engine): add perimeter-to-area ratio to part features
2026-03-14 14:41:30 -04:00
OpenNest.Gpu
feat: add ISlideComputer interface and GPU implementation
2026-03-13 20:29:43 -04:00
OpenNest.IO
feat(console): improve training data collection and best-fit persistence
2026-03-14 12:39:24 -04:00
OpenNest.Mcp
merge: integrate NFP-based autonesting from feature/nfp-autonest
2026-03-13 09:40:38 -04:00
OpenNest.Training
refactor: extract training data collection into OpenNest.Training
2026-03-14 14:41:38 -04:00
.gitattributes
First commit.
2016-05-16 22:09:19 -04:00
.gitignore
chore: ignore SQLite database files
2026-03-14 13:15:00 -04:00
.mcp.json
feat(mcp): publish OpenNest.Mcp and register in .mcp.json
2026-03-08 15:52:40 -04:00
CLAUDE.md
docs: update CLAUDE.md with OpenNest.IO and OpenNest.Mcp projects
2026-03-08 15:53:19 -04:00
collect-training-data.ps1
feat(console): improve training data collection and best-fit persistence
2026-03-14 12:39:24 -04:00
OpenNest.sln
refactor: extract training data collection into OpenNest.Training
2026-03-14 14:41:38 -04:00
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