CAD risk-area + deformation GNN

Diagnostic training-set fit only. 1 unvalidated NG run(s), weak point-dilated masks, one CAD and one run-level class. These values do not measure generalization or production accuracy.

Input: STEP-derived graph + XLS process values/masks. Outputs: CAD-node risk probability, signed normal deformation, deformation magnitude, and a graph-level defect-type head.

Final loss: 1.0229; pooled training IoU: 0.0360; pooled training Dice: 0.0695. Defect-type status: unavailable_single_observed_class.

RunTarget nodesPredicted nodesTraining IoUTraining Dice
14h06133610.03600.0695

Training trace

Diagnostic GNN training curve

Fitted fields

Weak target, fitted risk and fitted deformation fields

Full JSON report ยท Diagnostic checkpoint