sklearn使用小記GridSearchCV

def test_grid_search():
    from sklearn import datasets,svm
    iris = datasets.load_iris()
    parameters = {'kernel': ('linear', 'rbf'), 'C': [1, 10,50,100]}  #注意score='roc_auc'是二分類的,多分類會報錯
    svc = svm.SVC()
    clf = GridSearchCV(svc, parameters,cv=7)
    clf.fit(iris.data, iris.target)
    print(type(clf.best_params_))
    print(clf.best_params_)