parameters: (self)
return_statement: return self._interference_model_prediction(resource_data_list, impact_data_list)
docstring: Train the ou-models
  
          :return: the map of the trained models
docstring_summary: Train the ou-models
docstring_tokens: Train the ou - models
function: def estimate(self):
          """Train the ou-models
  
          :return: the map of the trained models
          """
          resource_data_list, impact_data_list = interference_data_constructing_util.get_data(self.input_path,
                                                                                              self.ou_model_map,
                                                                                              self.model_results_path,
                                                                                              0,
                                                                                              False,
                                                                                              False,
                                                                                              False,
                                                                                              self.ee_sample_rate,
                                                                                              self.txn_sample_rate,
                                                                                              self.network_sample_rate)
          return self._interference_model_prediction(resource_data_list, impact_data_list)
function_tokens: def estimate ( self ) : resource_data_list , impact_data_list = interference_data_constructing_util . get_data ( self . input_path , self . ou_model_map , self . model_results_path , 0 , False , False , False , self . ee_sample_rate , self . txn_sample_rate , self . network_sample_rate ) return self . _interference_model_prediction ( resource_data_list , impact_data_list )