Update main.py

main.py

@@ -49,27 +49,6 @@ class ModelInput(BaseModel):
     Embarked: str
     Sex: str
 
-## Utils
-# def processing_FE(
-#     dataset, scaler, encoder,imputer, FE=pipeline_of_my_model
-# ):  # FE : ColumnTransfromer, Pipeline
-#     "Cleaning, Processing and Feature Engineering of the input dataset."
-#     """:dataset pandas.DataFrame"""
-
-#     # if imputer is not None:
-#     #     output_dataset = imputer.transform(dataset)
-#     # else:
-#     #     output_dataset = dataset.copy()
-
-#     # output_dataset = scaler.transform(output_dataset)
-
-#     # if encoder is not None:
-#     #     output_dataset = encoder.transform(output_dataset)
-#     if FE is not None:
-#         output_dataset = FE.fit(output_dataset)
-
-#     return output_dataset
-
 
 
 def make_prediction(