GridSearchCV参考代码

    CC = []gammas = []for i in range(-5, 16, 2):CC.append(2 ** i)for i in range(3, -16, -2):gammas.append(2 ** i)param_grid = {"C": CC, "gamma": gammas}gs = GridSearchCV(SVC(probability=True), param_grid, cv=10)gs.fit(x, y)print(gs.best_estimator_)print(gs.best_score_)

GridSearchCV官方解释链接

如何打印中间调参过程

from pprint import pprint
pprint(gs.cv_results_)

RandomizedSearchCV