code: def _combined_probs(
      self,
      first_names_probs: pd.DataFrame,
      zip_code_probs: pd.DataFrame,
  ) -> pd.DataFrame:
      first_names_zip_codes_numer = (
          first_names_probs.iloc[:, 1:] * zip_code_probs.iloc[:, 1:]
      )
      first_names_zip_codes_denom = first_names_zip_codes_numer.sum(
          axis=1
      )
      first_names_zip_codes_probs = first_names_zip_codes_numer.div(
          first_names_zip_codes_denom, axis=0
      )
      return first_names_zip_codes_probs
  
file_path: bias-detector/bias_detector/models/FirstNameZipcodeModel.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 FirstNameZipcodeModel obj's underlying member method code with example usage: obj._combined_probs(first_names_probs, zip_code_probs) and returns: first_names_zip_codes_probs