我正在尝试创建一个GridSearch CV函数，该函数可以接受多个模型。然而，我遇到了以下错误：TypeError: not all arguments converted during string formatting

def grid(model, X_train,y_train):    grid_search = GridSearchCV(model, parameters, cv=5)    grid_search.fit(X_train, y_train)    prediction = grid_search.predict(X_test)    best_classifier = grid_search.best_estimator_    return grid_searchclf = [('DecisionTree',DT()),('RandomForest',RF())n_folds = 15for model in clf:        print('\nWorking on ', model[0])        grid_search = grid(model,X_train,y_train)

回答：

您将模型存储在一个元组列表中（请注意，在您的示例中，实际上缺少闭合括号）：

clf = [('DecisionTree', DT()), ('RandomForest', RF())]

由于您遍历了所有元组，并且您的实际模型存储在每个元组的索引1处，因此您需要将model[1]传递给您的函数：

for model in clf:    print('\nWorking on ', model[0])    grid_search = grid(model[1], X_train, y_train) # <-- 这一行需要修改