File size: 1,194 Bytes
ae419ed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | from __future__ import annotations
import argparse
import json
from common import load_config
from dynafall.train_eval import evaluate_checkpoint
def main() -> None:
ap = argparse.ArgumentParser()
ap.add_argument("--dataset", required=True)
ap.add_argument("--method", required=True)
ap.add_argument("--checkpoint", default=None)
ap.add_argument("--split", default="test")
ap.add_argument("--robustness", default="clean")
ap.add_argument("--missing-amount", type=float, default=0.0)
ap.add_argument("--tag", 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 = evaluate_checkpoint(
args.dataset,
args.method,
load_config(args.config),
checkpoint=args.checkpoint,
split=args.split,
robustness=args.robustness,
missing_amount=args.missing_amount,
tag=args.tag,
processed_dataset=args.processed_dataset,
out_dir=args.out_dir,
)
print(json.dumps(result, indent=2))
if __name__ == "__main__":
main()
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