Simple Grid Search:简单的网格搜索
以2个参数的调优过程为例:
from sklearn.datasets import load_iris
from sklearn.svm import...SVC
from sklearn.model_selection import train_test_split
iris = load_iris()
X_train,X_test,y_train,...in [0.001,0.01,0.1,1,10,100]:
for C in [0.001,0.01,0.1,1,10,100]:
svm = SVC(gamma=gamma,...':gamma,'C':C}
svm = SVC(**best_parameters) #使用最佳参数,构建新的模型
svm.fit(X_trainval,y_trainval) #使用训练集和验证集进行训练...,同时使用最优的参数实例化一个新的SVC estimator。