我试图找到最佳值的C &伽马SVR()估计使用GridSearchCV(),但我得到这个错误RBF SVM参数在scikit中使用GridSearchCV()学习.... TypeError:'KFold'对象不可迭代
类型错误: 'KFold' 对象不是可迭代
此代码
from sklearn.grid_search import GridSearchCV
from sklearn.model_selection import KFold
C_range = np.logspace(-2, 10, 13)
gamma_range = np.logspace(-9, 3, 13)
param_grid = dict(gamma=gamma_range, C=C_range)
cv = KFold(n_splits=5, shuffle=False, random_state=None)
grid = GridSearchCV(SVR(kernel='rbf'), param_grid=param_grid, cv=cv)
grid.fit(X, y)
print("The best parameters are %s with a score of %0.2f"
% (grid.best_params_, grid.best_score_))