code: def _combined_probs(
      self,
      first_names_probs: pd.DataFrame,
      last_name_probs: pd.DataFrame,
      zip_code_probs: pd.DataFrame,
  ) -> pd.DataFrame:
      names_zip_codes_numer = (
          last_name_probs.iloc[:, 1:]
          * first_names_probs.iloc[:, 1:]
          * zip_code_probs.iloc[:, 1:]
      )
      names_zip_codes_denom = names_zip_codes_numer.sum(axis=1)
      names_zip_codes_probs = names_zip_codes_numer.div(
          names_zip_codes_denom, axis=0
      )
      return names_zip_codes_probs
  
file_path: bias-detector/bias_detector/models/FullNameZipcodeModel.py
imports: from surgeo.models.base_model import BaseModel
  from bias_detector.common import *
  import pandas
  import surgeo
  import pathlib
label_desc: Use image node_id 3 for calling the FullNameZipcodeModel obj's underlying member method code with example usage: obj._combined_probs(first_names_probs, last_name_probs, zip_code_probs) and returns: names_zip_codes_probs