gusucode.com > 支持向量机工具箱 - LIBSVM OSU_SVM LS_SVM源码程序 > 支持向量机工具箱 - LIBSVM OSU_SVM LS_SVM\SVM_SteveGunn\svcoutput.m
function predictedY = svcoutput(trnX,trnY,tstX,ker,alpha,bias,actfunc) %SVCOUTPUT Calculate SVC Output % % Usage: predictedY = svcoutput(trnX,trnY,tstX,ker,alpha,bias,actfunc) % % Parameters: trnX - Training inputs % trnY - Training targets % tstX - Test inputs % ker - kernel function % beta - Lagrange Multipliers % bias - bias % actfunc- activation function (0(default) hard | 1 soft) % % Author: Steve Gunn (srg@ecs.soton.ac.uk) if (nargin < 6 | nargin > 7) % check correct number of arguments help svcoutput else if (nargin == 6) actfunc = 0; end n = size(trnX,1); m = size(tstX,1); H = zeros(m,n); for i=1:m for j=1:n H(i,j) = trnY(j)*svkernel(ker,tstX(i,:),trnX(j,:)); end end if (actfunc) predictedY = softmargin(H*alpha + bias); else predictedY = sign(H*alpha + bias); end end