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svm训练得到model后怎么得到w^T*x+b中的W和b的值？

2018/1/22镜像同步4 回复

我想用SVM将数据集进行划分，然后得到划分的超平面。方便的用法是使用MATLAB2017上的classification learner中的linear svm进行划分，然后我怎么得到w^T*x+b中的W和b的值呢？我之前试过用LIBSVM包进行划分，得到一个model的结构体，里面有 The 'svmtrain' function returns a model which can be used for future prediction. It is a structure and is organized as [Parameters, nr_class, totalSV, rho, Label, ProbA, ProbB, nSV, sv_coef, SVs]: -Parameters: parameters -nr_class: number of classes; = 2 for regression/one-class svm -totalSV: total #SV -rho: -b of the decision function(s) wx+b -Label: label of each class; empty for regression/one-class SVM -ProbA: pairwise probability information; empty if -b 0 or in one-class SVM -ProbB: pairwise probability information; empty if -b 0 or in one-class SVM -nSV: number of SVs for each class; empty for regression/one-class SVM -sv_coef: coefficients for SVs in decision functions -SVs: support vectors 根据这些我该怎么得到w^T*x+b中的W和b的值？两种方法，有一种可以即可。谢谢！

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