(self,)
return False
check if satisfy early_stopping_round
        Returns bool
check if satisfy early_stopping_round
        Returns bool
check if satisfy early_stopping_round Returns bool
def check_early_stopping(self,):
        """
        check if satisfy early_stopping_round
        Returns bool
        """
        LOGGER.info('checking early stopping')

        no_improvement_dict = self.performance_recorder.no_improvement_round
        for metric in no_improvement_dict:
            if no_improvement_dict[metric] >= self.early_stopping_rounds:
                self.best_iteration = self.metric_best_iter[metric]
                self.cur_best_model = self.metric_best_model[metric]
                LOGGER.info('early stopping triggered, model of iter {} is chosen because metric {} satisfied'
                            'stop condition'.format(self.best_iteration, metric))
                return True

        return False
def check_early_stopping ( self , ) : LOGGER . info ( 'checking early stopping' ) no_improvement_dict = self . performance_recorder . no_improvement_round for metric in no_improvement_dict : if no_improvement_dict [ metric ] >= self . early_stopping_rounds : self . best_iteration = self . metric_best_iter [ metric ] self . cur_best_model = self . metric_best_model [ metric ] LOGGER . info ( 'early stopping triggered, model of iter {} is chosen because metric {} satisfied' 'stop condition' . format ( self . best_iteration , metric ) ) return True return False