How to use and call data savers

hamilton_save_to.py

# from the function  module
@save_to.csv(path=source("pred_path"), output_name_="save_validation_predictions")
def validation_predictions_table(y_validation: np.ndarray, val_pred: np.ndarray) -> pd.DataFrame:
    """Create a table with the model's predictions on the validation set"""
    return pd.DataFrame({"y_validation": y_validation, "val_pred": val_pred})
  
# from the main process
results = dr.execute(
  final_vars=[ 
    "validation_predictions_table",  # the function name
    "save_validation_predictions",  # the decorator `output_name_` argument
  ]
)