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按照数据预处理脚本变更修正其他相应脚本

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RYDE-WORK 2026-02-26 18:07:39 +08:00
parent 72c292a91f
commit b74f3ab4b2
5 changed files with 5 additions and 5 deletions
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2
lnp_ml/modeling/final_train_optuna_cv.py
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@ -366,7 +366,7 @@ def run_optuna_cv(
@app.command() @app.command()
def main( def main(
input_path: Path = INTERIM_DATA_DIR / "internal_corrected.csv", input_path: Path = INTERIM_DATA_DIR / "internal.csv",
output_dir: Path = MODELS_DIR / "final_optuna", output_dir: Path = MODELS_DIR / "final_optuna",
# CV 参数 # CV 参数
n_folds: int = 3, n_folds: int = 3,

2
lnp_ml/modeling/nested_cv_optuna.py
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@ -486,7 +486,7 @@ def run_inner_optuna(
@app.command() @app.command()
def main( def main(
input_path: Path = INTERIM_DATA_DIR / "internal_corrected.csv", input_path: Path = INTERIM_DATA_DIR / "internal.csv",
output_dir: Path = MODELS_DIR / "nested_cv", output_dir: Path = MODELS_DIR / "nested_cv",
# CV 参数 # CV 参数
n_outer_folds: int = 5, n_outer_folds: int = 5,

2
scripts/process_data.py
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@ -26,7 +26,7 @@ app = typer.Typer()
@app.command() @app.command()
def main( def main(
input_path: Path = INTERIM_DATA_DIR / "internal_corrected.csv", input_path: Path = INTERIM_DATA_DIR / "internal.csv",
output_dir: Path = PROCESSED_DATA_DIR, output_dir: Path = PROCESSED_DATA_DIR,
train_ratio: float = 0.56, train_ratio: float = 0.56,
val_ratio: float = 0.14, val_ratio: float = 0.14,

2
scripts/process_data_cv.py
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@ -166,7 +166,7 @@ def amine_based_cv_split(
@app.command() @app.command()
def main( def main(
input_path: Path = INTERIM_DATA_DIR / "internal_corrected.csv", input_path: Path = INTERIM_DATA_DIR / "internal.csv",
output_dir: Path = PROCESSED_DATA_DIR / "cv", output_dir: Path = PROCESSED_DATA_DIR / "cv",
n_folds: int = 5, n_folds: int = 5,
seed: int = 42, seed: int = 42,

2
scripts/process_data_final.py
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@ -26,7 +26,7 @@ app = typer.Typer()
@app.command() @app.command()
def main( def main(
input_path: Path = INTERIM_DATA_DIR / "internal_corrected.csv", input_path: Path = INTERIM_DATA_DIR / "internal.csv",
output_dir: Path = PROCESSED_DATA_DIR / "final", output_dir: Path = PROCESSED_DATA_DIR / "final",
train_ratio: float = 0.9, train_ratio: float = 0.9,
seed: int = 42, seed: int = 42,