37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
"""Train every routed model from the external SQLite material dataset."""
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import argparse
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import json
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from pathlib import Path
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from lmpm.training.workflow import train_sqlite_database
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser(
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description="Train LMPM target models from a completed SQLite dataset."
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)
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parser.add_argument(
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"database", type=Path, help="SQLite database with material_records"
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)
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parser.add_argument(
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"artifact", type=Path, help="Destination .joblib model artifact"
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)
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return parser.parse_args()
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def main() -> None:
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args = parse_args()
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bundle = train_sqlite_database(args.database, args.artifact)
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report_path = args.artifact.with_suffix(".metrics.json")
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report_path.write_text(
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json.dumps(bundle.report(), ensure_ascii=False, indent=2) + "\n",
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encoding="utf-8",
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)
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print(f"saved model artifact: {args.artifact}")
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print(f"saved validation report: {report_path}")
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if __name__ == "__main__":
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main()
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