python runtimewarning_python 中出现：RuntimeWarning: invalid value encountered in add

deftestRbf(k1):dataArr,labelArr=loadDataSet('testSetRBF.txt')b,alphas=smoP(dataArr,labelArr,200,0.0001,10000,('rbf',k1))datMat=mat(dataArr)labelMat=mat(labelArr).transpos...

def testRbf(k1):

dataArr,labelArr=loadDataSet('testSetRBF.txt')

b,alphas=smoP(dataArr,labelArr,200,0.0001,10000,('rbf',k1))

datMat=mat(dataArr)

labelMat=mat(labelArr).transpose()

svInd=nonzero(alphas.A>0)[0]

print(svInd)

print(alphas[svInd])

sVs=datMat[svInd]

labelSV=labelMat[svInd]

print('there are %d Support Vectors'% shape(sVs)[0])

m,n=shape(datMat)

errorCount=0

# predict=mat(zeros((m,1)))

for i in range(m):

kernelEval = kernelTrans(sVs,datMat[i,:],('rbf',k1))

predict = kernelEval.T * multiply(labelSV,alphas[svInd]) + b

if sign(predict)!=sign(labelArr[i]):errorCount += 1

print('the training error rate is :%f' % (float(errorCount)/m))

dataArr,labelArr=loadDataSet('testSetRBF2.txt')

errorCount=0

datMat=mat(dataArr)

labelMat=mat(labelArr).transpose()

m,n=shape(datMat)

for i in range(m):

kernelEval=kernelTrans(sVs, datMat[i,:],('rbf',k1))

predict=kernelEval.T*multiply(labelSV,alphas[svInd])+b

if sign(predict)!=sign(labelArr[i]):errorCount+=1

print('the test error rate is :%f'%(float(errorCount)/m))

这是SVM算法中的一段程序，运行后有时又能正常使用，大部分会出现下面的错误

RuntimeWarning: invalid value encountered in add

predict = kernelEval.T * multiply(labelSV,alphas[svInd]) + b

求大神解释一下这是什么问题，谢谢！！！！

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