| from __future__ import annotations |
|
|
| import argparse |
| import sys |
| from pathlib import Path |
|
|
| ROOT = Path(__file__).resolve().parents[1] |
| if str(ROOT) not in sys.path: |
| sys.path.insert(0, str(ROOT)) |
|
|
| import pandas as pd |
|
|
| from src.models.complementarity import run_complementarity_fusion, save_json |
| from src.utils import ensure_dir, load_config, seed_everything |
|
|
|
|
| def main() -> None: |
| parser = argparse.ArgumentParser() |
| parser.add_argument("--config", default="configs/fusion_complementarity.yaml") |
| args = parser.parse_args() |
| cfg = load_config(args.config) |
| seed_everything(cfg.get("seed", 17)) |
| features_dir = Path(cfg["paths"]["features_dir"]) |
| out_dir = ensure_dir(cfg["paths"]["output_dir"]) |
|
|
| labels = pd.read_csv(features_dir / "labels.csv") |
| rad = pd.read_csv(features_dir / "radiomics_clean.csv") |
| dl_patch = pd.read_csv(features_dir / "dl_patch_triregion.csv") |
| result = run_complementarity_fusion( |
| radiomics_df=rad, |
| dl_df=dl_patch, |
| labels=labels["label"], |
| n_splits=cfg["classifier"]["cv_folds"], |
| seed=cfg.get("seed", 17), |
| ) |
| save_json({"auc": result["auc"], "accuracy": result["accuracy"], "fold_weights": result["fold_weights"]}, out_dir / "complementarity_summary.json") |
| print({"auc": result["auc"], "accuracy": result["accuracy"]}) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|