code: def predict(self, X, y):
          
          for model in self.models:
              yield cvp(model, X, y, cv=12)
docs: Returns a generator containing the predictions for each of the
          internal models (using cross_val_predict and a CV=12).
  
          Parameters
          ----------
  
          X : ndarray or DataFrame of shape n x m
              A matrix of n instances with m features
  
          y : ndarray or Series of length n
              An array or series of target or class values
  
          kwargs: dict
              keyword arguments passed to Scikit-Learn API.