类型错误：__init __获得了意外的关键字参数'reg_alpha'

如何解决类型错误：__init __获得了意外的关键字参数'reg_alpha'

使用随机搜索CV查找CatboostClassfier模型的参数时。我收到类型错误： 这是我的代码段。 我正在寻找问题的catboost库，但找不到它。是什么原因导致此类Type_error？

para={
 "n_estimators"     : [1000,5000,10000],"learning_rate"    : [0.05,0.10,0.15,0.20,0.25,0.30 ],"max_depth"        : [ 3,4,5,6,8,10,12,15],"reg_alpha"        : [0.4,0.7,1,3],"reg_lambda"       : [0.2,0.4,"colsample_bytree" : [ 0.3,0.5,0.7 ],"subsample"        : [ 0.3,1] 
    
}

import catboost as cb
cbg = cb.CatBoostClassifier()
random_search=RandomizedSearchCV(cbg,param_distributions=para,n_iter=5,scoring='roc_auc',n_jobs=-1,cv=5,verbose=3)
random_search.fit(X,y)




TypeError                                 Traceback (most recent call last)
<ipython-input-18-68719ca71dd9> in <module>
----> 1 random_search.fit(X,y)

~\Anaconda3\envs\py3.6-TF2.3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args,**kwargs)
     70                           FutureWarning)
     71         kwargs.update({k: arg for k,arg in zip(sig.parameters,args)})
---> 72         return f(**kwargs)
     73     return inner_f
     74 

~\Anaconda3\envs\py3.6-TF2.3\lib\site-packages\sklearn\model_selection\_search.py in fit(self,X,y,groups,**fit_params)
    760             # of the params are estimators as well.
    761             self.best_estimator_ = clone(clone(base_estimator).set_params(
--> 762                 **self.best_params_))
    763             refit_start_time = time.time()
    764             if y is not None:

~\Anaconda3\envs\py3.6-TF2.3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args,args)})
---> 72         return f(**kwargs)
     73     return inner_f
     74 

~\Anaconda3\envs\py3.6-TF2.3\lib\site-packages\sklearn\base.py in clone(estimator,safe)
     86     for name,param in new_object_params.items():
     87         new_object_params[name] = clone(param,safe=False)
---> 88     new_object = klass(**new_object_params)
     89     params_set = new_object.get_params(deep=False)
     90 

TypeError: __init__() got an unexpected keyword argument 'reg_alpha'

解决方法

问题在于closed不是reg_alpha初始化init的参数。您会发现here未列出CatBoostClassifier。您会为reg_alpha找到相同的东西。从参数字典中删除这些内容将解决错误。