"""
GridSearchCV 用于系统地遍历多种参数组合，通过交叉验证确定最佳效果参数
"""
parameters = {"kernel": ("linear", "rbf"), "C": range(1, 100)}
from sklearn import svm
from sklearn import grid_search
from sklearn.datasets import load_iris
iris = load_iris()
svr = svm.SVC()
clf = grid_search.GridSearchCV(svr, parameters)
clf.fit(iris.data, iris.target)
print clf.best_params_ # 最好的参数
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