gp_classifydemo.m

来自「高斯过程是一种非参数化的学习方法」· M 代码 · 共 21 行

clc
clear
load wuclass

para=[0,1,100,0.5];
X_train=X2;
Y_train=Y2;
X_test=X1;
Y_test=Y1;
num_class=2;
class_set=[1,2];%label type


for i=1:1
[Y_compute, Y_prob] = GP_classify(para, X_train, Y_train, X_test, Y_test, num_class, class_set)
error=find(Y_compute~=Y_test);
errorate=length(error)/length(Y_test); %0.0850
plot(i,errorate,'g+');  
hold on;
drawnow;
end