code: def predict_proba(self, X):
          
          X = numpy.asarray(X)
          Xt = self._predict_estimators(X)
          return self.meta_estimator.predict_proba(Xt)
docs: Perform prediction.
  
          Only available of the meta estimator has a predict_proba method.
  
          Parameters
          ----------
          X : array-like, shape = (n_samples, n_features)
              Data with samples to predict.
  
          Returns
          -------
          prediction : ndarray, shape = (n_samples, n_dim)
              Prediction of meta estimator that combines
              predictions of base estimators. `n_dim` depends
              on the return value of meta estimator's `predict`
              method.