kalamangna/1d-cnn-fault-detection

v1.3.0: Optimized location RMSE to 0.15km, detailed plotting, and metrics sync

Docs: Add CHANGELOG.md

Final: Achieve 100% classification accuracy and optimize location RMSE to 0.15km with ultra-deep architecture

Fix: Optimize 1D-CNN architecture and handle multi-output class imbalance

Final cleanup: Remove obsolete datasets, temporary scripts, and update model artifacts

Add Hugging Face Space metadata to README

Sync root documentation to backend repo

Update model artifacts and metrics after training on DATASET-ORI.xlsx

feat: implement discrete fault location mapping (snap-to-nearest)

feat: retrain model with DATASET2.xlsx and update artifacts

docs: finalize project documentation and sync detection thresholds

chore: update .gitignore to allow artifacts

feat: include training and evaluation plots in artifacts

setup git lfs tracking for artifacts

Fix: Update YAML metadata colorTo to allowed value (blue)

Fix: Add Hugging Face YAML configuration to README

track model