xgbbasemodel.py 文件源码

python
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项目:Supply-demand-forecasting 作者: LevinJ 项目源码 文件源码
def run_grid_search(self):
        """
        This method is called by derived class to start grid search process
        """
        features,labels,cv_folds = self.getFeaturesLabel()
        dtrain_cv  = xgb.DMatrix(features, label= labels,feature_names=features.columns)

        parameter_iterable = self.__get_param_iterable(self.__get_param_grid())  
        kwargs = self.get_learning_params()
        for param in parameter_iterable:
            logging.info("used parameters: {}".format(param))
            bst = xgb.cv(param, dtrain_cv, folds=cv_folds,**kwargs)
            self.__add_to_resultset(param, bst)

        self.__disp_result() 
        return
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