- 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
8 lines
135 B
JSON
8 lines
135 B
JSON
[
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{
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"date": "2026-03-01T18:04:50.871434",
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"auc": 0.546,
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"samples": 1772,
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"model_path": "models/lgbm_filter.pkl"
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}
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] |