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无法在适合 SVC 的情况下运行代码不知道是什么导致了问题，正在寻找适合 SVC 的解决方案，没有挂起或超时和跳过的方法。如果我做更多的评估，它就会挂起的可能性就越大。我必须重新启动 Jupyter notebook 内核才能再次运行代码。

    def objective_func_svc(args):


        if args['model']==SVC:
            C = args['param']['C']
            kernel = args['param']['kernel']
            clf = SVC(C=C,kernel=kernel,gamma='auto')

        clf.fit(X_train,y_train)   

        loss =1-clf.score(X_train,y_train)  
        return loss

    space_svc = hp.choice('classifier',[

            {'model': SVC,
            'param':{'C':hp.lognormal('C',0.0,1),
            'kernel':hp.choice('kernel',['poly', 'rbf', 'sigmoid'])}}])

        print('\nKernel + C choice Score') 

        best_classifier = fmin(objective_func_svc,space_svc,algo=algoused,max_evals=max_evals)

        if best_classifier.get('kernel')==0:
            kernel='poly'
        elif best_classifier.get('kernel')==1:
            kernel='rbf'
        elif best_classifier.get('kernel')==2:
            kernel='sigmoid'

        clf = SVC(C=best_classifier.get("C"),kernel=kernel,gamma='auto')

        print('\nC=',best_classifier.get("C"))
        print('kernel=',kernel)
        print('\nBest_classifier Score ')  
        clf.fit(X_train,y_train)
        y_pred=clf.predict(X_test)
        clf.score(X_test,y_test)

        a,p,n=print_confusion_matrix(y_test, y_pred)
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