在CvSVM中获取权重，OpenCV的SVM实现 [英] Obtaining weights in CvSVM, the SVM implementation of OpenCV

问题描述

我在iOS上使用OpenCV的SVM实现（基于LibSVM）。是否可以获得训练后的权重向量？

I am using the SVM implementation of OpenCV (based on LibSVM) on iOS. Is it possible to obtain the weight vector after training?

谢谢！

推荐答案

能够获得重量。为了获得权重，必须首先获得支持向量，然后将它们与α值相乘。

After dealing with it I have been able to obtain the weights. For obtaining the weights one has to obtain first the support vectors and then add them multiplied by the alpha values.

// get the svm weights by multiplying the support vectors by the alpha values
int numSupportVectors = SVM.get_support_vector_count();
const float *supportVector;
const CvSVMDecisionFunc *dec = SVM.decision_func;
svmWeights = (float *) calloc((numOfFeatures+1),sizeof(float));
for (int i = 0; i < numSupportVectors; ++i)
{
    float alpha = *(dec[0].alpha + i);
    supportVector = SVM.get_support_vector(i);
    for(int j=0;j<numOfFeatures;j++)
        *(svmWeights + j) += alpha * *(supportVector+j);
}
*(svmWeights + numOfFeatures) = - dec[0].rho; //Be careful with the sign of the bias!

这里唯一的窍门是实例变量 float * decision_function 在opencv框架上受保护，所以我必须更改它才能访问它。

The only trick here is that the instance variable float *decision_function is protected on the opencv framework, so I had to change it in order to access it.

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