我在AWS实例上尝试使用Python运行LightGBM。我可以使用标准的LightGBM进行训练，但如果我使用GPU加速时，会显示以下错误
LightGBMError Traceback (most recent call last)<ipython-input-28-758038d46621> in <module>()----> 1 train_blend_x_lgb, test_blend_x_lgb, blend_scores_lgb = lgb_rgr_stack(lgb_params, train_x, y, test_x, 5, early_stopping_rounds=0, missing=None) 2 train_blend_x_lgb.tofile('train_blend_x_lgb_v2.dat') 3 test_blend_x_lgb.tofile('test_blend_x_lgb_v2.dat')<ipython-input-16-ba585885e839> in lgb_rgr_stack(rgr_params, train_x, train_y, test_x, kfolds, early_stopping_rounds, missing) 25 feature_name=full_vars, 26 categorical_feature = dense_cat_vars),---> 27 num_boost_round=num_boost_round 28 ) 29 val_y_predict_fold = model.predict(val_x_fold)~/anaconda3/lib/python3.6/site-packages/lightgbm/engine.py in train(params, train_set, num_boost_round, valid_sets, valid_names, fobj, feval, init_model, feature_name, categorical_feature, early_stopping_rounds, evals_result, verbose_eval, learning_rates, keep_training_booster, callbacks) 181 # construct booster 182 try:--> 183 booster = Booster(params=params, train_set=train_set) 184 if is_valid_contain_train: 185 booster.set_train_data_name(train_data_name)~/anaconda3/lib/python3.6/site-packages/lightgbm/basic.py in __init__(self, params, train_set, model_file, silent) 1307 train_set.construct().handle, 1308 c_str(params_str),-> 1309 ctypes.byref(self.handle))) 1310 # save reference to data 1311 self.train_set = train_set~/anaconda3/lib/python3.6/site-packages/lightgbm/basic.py in _safe_call(ret) 47 """ 48 if ret != 0:---> 49 raise LightGBMError(decode_string(_LIB.LGBM_GetLastError())) 50 51 LightGBMError: No OpenCL device found回答：
您是否已经为您的EC2实例添加了GPU？默认情况下，EC2实例是不带GPU的。GPU的成本较高。添加一个GPU试试看是否能解决这个问题。
