scripts/train.py

from __future__ import annotations

import argparse

from common import load_config
from dynafall.train_eval import train_model


def main() -> None:
    ap = argparse.ArgumentParser()
    ap.add_argument("--dataset", required=True)
    ap.add_argument("--method", required=True)
    ap.add_argument("--epochs", type=int, default=None)
    ap.add_argument("--config", default="configs/default.yaml")
    ap.add_argument("--processed-dataset", default=None)
    ap.add_argument("--out-dir", default=None)
    args = ap.parse_args()
    result = train_model(
        args.dataset,
        args.method,
        load_config(args.config),
        args.epochs,
        out_dir=args.out_dir,
        processed_dataset=args.processed_dataset,
    )
    print(result)


if __name__ == "__main__":
    main()