code: def predict_fe(self, X):
      return self.fe.predict(X)
  
imports: import numpy
  import pandas
  from sklearn.model_selection import train_test_split
  from .._explainer import Explainer
  import numpy
  from sklearn.ensemble import GradientBoostingRegressor, RandomForestRegressor
  from sklearn.linear_model import Ridge
  from sklearn.metrics import mean_squared_error
label_desc: Use image node_id 5 for calling the MAPLE obj's underlying member method code with example usage: obj.predict_fe(X) and returns: self