我试图对我的模型进行超参数调优，但一直显示这个错误

error :  Invalid parameter svc_c for estimator SVC(). Check the list of available parameters with `estimator.get_params().keys()`

我使用的代码如下：

param_grid = {'svc_c': [5, 10, 100],               'svc_gamma': [1,0.1,0.01,0.001],              'svc_dgree': [1,2,3,4,5,6],              'svc_kernel': ['rbf']}grid = GridSearchCV(SVC(),param_grid,refit=True,verbose=3)grid.fit(x_train_poly,y_train)

回答：

您需要为字典param_grid使用正确的键。kernel , C , gamma , degree 等等（参见文档）

尝试这样做：

param_grid = {'kernel': ('linear', 'rbf','poly') ,               'C':[5, 10, 100],              'gamma': [1,0.1,0.01,0.001],               'degree' : [1,2,3,4,5,6]}grid = GridSearchCV(SVC() , param_grid , refit=True , verbose=3)grid.fit(x_train_poly,y_train)