code: def predict(model, x_encoded):
      """
      The predict function computes the prediction values for each x_encoded row
  
      Parameters
      -------
      model: model object
          model used to perform predictions
      x_encoded: pandas.DataFrame
          Observations on which to compute predictions.
  
      Returns
      -------
      pandas.DataFrame
              1-column dataframe containing the predictions.
      """
      if hasattr(model, "predict"):
          y_pred = pd.DataFrame(
              model.predict(x_encoded),
              columns=["pred"],
              index=x_encoded.index,
          )
      else:
          raise ValueError("model has no predict method")
  
      return y_pred
  
imports: from inspect import ismethod
  import pandas
label_desc: Use image node_id 3 for calling a global function with example usage: predict(model, x_encoded) and returns: y_pred