decom_svm_banana.sci

用Scilab编写的

clear
stacksize(1E8);

disp("Two_Class_SVM_Decomp_banana");
E0=1.0E-10;

//********************************************************
Tau=0.0001;
C=316.2;
o=1;
N_num=400;
N=400;
Nt=4900;
input_dime=2;
q=20;//[2,4,6,8,10,20,40,60,80,100,200,300,400,500];//
exec("I:\Multi-SVM\iris\function_svm_SD.txt",-1);

//********************************************************
//exec("function_2n_CG_SD_revised.txt",-1);

X=read("I:\Multi-SVM\banana\banana_train_data_1.asc",N,input_dime);
Y=read("I:\Multi-SVM\banana\banana_train_labels_1.asc",N,1);
x=read("I:\Multi-SVM\banana\banana_test_data_1.asc",Nt,input_dime);
y=read("I:\Multi-SVM\banana\banana_test_labels_1.asc",Nt,1);
//X is the training samples
//Y is the labels of the training samples
//x is the test samples
//y is the lables of the test samples
timer();
[A,Ax,A0,AC,bias,ii,S]=pattern_SD(X,Y,C,N,q);
Training_Time=timer()
i0C=[];
i0C=[Ax';AC'];
			
Q=[];
Q=(A.*Y)*S';
W_a=0;
W_a=0.5*A'*Q*A-ones(N,1)'*A;
timer();
[ers,Ps,ert,Pt]=error_rate(X,Y,x,y,A,i0C,bias);
Test_Time=timer()
ers
Ps
ert
Pt
disp("The End");