我正在尝试使用 Tweedie 发行版运行 lightgbm。我相信这段代码应该足以解决问题：
lgb_train=lgb.Dataset(X_train,y_train,weight=W_train,categorical_feature=cat_features)
lgb_test=lgb.Dataset(X_test,y_test,weight=W_test,reference=lgb_train,categorical_feature=cat_features)
params = {
'boosting': 'gbdt',
'application': 'tweedie',
'metric': 'tweedie',
'tweedie_variance_power':1.5,
'num_leaves': 31,
'learning_rate': 0.05,
'feature_fraction': 1,
'bagging_fraction': 1,
'bagging_freq': 0,
'verbose': 1,
'early_stopping_round':5,
'num_iterations':1000
}
mod1=lgb.train(params,lgb_train,valid_sets=[lgb_test])
当使用应用程序和度量作为泊松时，这运行良好，但是使用 Tweedie 我得到了这个回溯：
LightGBMError: b'No object function provided'
---------------------------------------------------------------------------
LightGBMError Traceback (most recent call last)
<ipython-input-348-84061fea80fd> in <module>()
18 }
19
---> 20 mod1=lgb.train(params,lgb_train,valid_sets=[lgb_test])
C:\Python\anaconda3\lib\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)
197 evaluation_result_list=None))
198
--> 199 booster.update(fobj=fobj)
200
201 evaluation_result_list = []
C:\Python\anaconda3\lib\site-packages\lightgbm\basic.py in update(self, train_set, fobj)
1437 _safe_call(_LIB.LGBM_BoosterUpdateOneIter(
1438 self.handle,
-> 1439 ctypes.byref(is_finished)))
1440 self.__is_predicted_cur_iter = [False for _ in range_(self.__num_dataset)]
1441 return is_finished.value == 1
C:\Python\anaconda3\lib\site-packages\lightgbm\basic.py in _safe_call(ret)
46 """
47 if ret != 0:
---> 48 raise LightGBMError(_LIB.LGBM_GetLastError())
49
50
LightGBMError: b'No object function provided'
我假设我错过了一个参数，但我很确定我已经在文档中引用了 Tweedie 的所有内容。
请问你能帮忙吗？
干杯