code: def coef_(self):
          
          coef = numpy.zeros(self.n_features_ + 1, dtype=float)
  
          for estimator in self.estimators_:
              coef[estimator.component] += self.learning_rate * estimator.coef_
  
          return coef
docs: Return the aggregated coefficients.
  
          Returns
          -------
          coef_ : ndarray, shape = (n_features + 1,)
              Coefficients of features. The first element denotes the intercept.