feat: implement training and deployment pipeline for LightGBM model on Mac to LXC

- Added comprehensive plans for training a LightGBM model on M4 Mac Mini and deploying it to an LXC container.
- Created scripts for model training, deployment, and a full pipeline execution.
- Enhanced model transfer with error handling and logging for better tracking.
- Introduced profiling for training time analysis and dataset generation optimization.

Made-with: Cursor

models/training_log.json

@@ -0,0 +1,8 @@
+[
+  {
+    "date": "2026-03-01T18:04:50.871434",
+    "auc": 0.546,
+    "samples": 1772,
+    "model_path": "models/lgbm_filter.pkl"
+  }
+]