code: def predict(self, h=5):
               
  
          if self.latent_variables.estimated is False:
              raise Exception("No latent variables estimated!")
          else:
              predictions, _, _, _ = self._construct_predict(self.latent_variables.get_z_values(),h)    
              predictions = predictions*self._norm_std + self._norm_mean  
              date_index = self.shift_dates(h)
              result = pd.DataFrame(predictions)
              result.rename(columns={0:self.data_name}, inplace=True)
              result.index = date_index[-h:]
  
              return result
docs: Makes forecast with the estimated model
          
          Parameters
          ----------
          h : int (default : 5)
              How many steps ahead would you like to forecast?
          
          Returns
          ----------
          - pd.DataFrame with predicted values