diff --git a/lnp_ml/modeling/final_train_optuna_cv.py b/lnp_ml/modeling/final_train_optuna_cv.py index 0c039c4..8e014de 100644 --- a/lnp_ml/modeling/final_train_optuna_cv.py +++ b/lnp_ml/modeling/final_train_optuna_cv.py @@ -366,7 +366,7 @@ def run_optuna_cv( @app.command() 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", # CV 参数 n_folds: int = 3, diff --git a/lnp_ml/modeling/nested_cv_optuna.py b/lnp_ml/modeling/nested_cv_optuna.py index e96054f..f37265c 100644 --- a/lnp_ml/modeling/nested_cv_optuna.py +++ b/lnp_ml/modeling/nested_cv_optuna.py @@ -486,7 +486,7 @@ def run_inner_optuna( @app.command() 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", # CV 参数 n_outer_folds: int = 5, diff --git a/scripts/process_data.py b/scripts/process_data.py index afae6b3..5205f56 100644 --- a/scripts/process_data.py +++ b/scripts/process_data.py @@ -26,7 +26,7 @@ app = typer.Typer() @app.command() 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, train_ratio: float = 0.56, val_ratio: float = 0.14, diff --git a/scripts/process_data_cv.py b/scripts/process_data_cv.py index 1b02404..dfbb909 100644 --- a/scripts/process_data_cv.py +++ b/scripts/process_data_cv.py @@ -166,7 +166,7 @@ def amine_based_cv_split( @app.command() 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", n_folds: int = 5, seed: int = 42, diff --git a/scripts/process_data_final.py b/scripts/process_data_final.py index 6d71d32..3801321 100644 --- a/scripts/process_data_final.py +++ b/scripts/process_data_final.py @@ -26,7 +26,7 @@ app = typer.Typer() @app.command() 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", train_ratio: float = 0.9, seed: int = 42,