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# S3 Generic methods
# model object supports: nn, nnet, rsnns, ...
jacobian<-function(object, ...){
UseMethod("jacobian", object)
}
jacobian.default<-function(object = NULL, xTrain, W, B, m, nPara, funName = 'sigmoid', ...){
jacobianMat = getJacobianMatrix(xTrain, W, B, m, nPara, funName)
return (jacobianMat)
}
jacobian.nn<-function(object, xTrain, funName = 'sigmoid', ...){
wtsList = object$weights[[1]]
m = length(wtsList)
nodeNum = c()
for (i in 1:m) {
curNodeNum = dim(wtsList[[i]])[1] - 1
nodeNum = c(nodeNum,curNodeNum)
}
nodeNum = c(nodeNum,1) # output layer
wts = transWeightListToVect(wtsList,m)
nPara = length(wts)
transWts = transWeightPara(wts, m, nodeNum)
W = transWts$W
B = transWts$B
jacobianMat = getJacobianMatrix(xTrain,W,B,m,nPara,funName)
return (jacobianMat)
}
# jacobMat = jacobian(nn,x) # nObs * nPara
jacobian.nnet<-function(object, xTrain, funName = 'sigmoid', ...){
wts = object$wts
nodeNum = object$n
m = length(nodeNum) - 1
nPara = length(wts)
transWts = transWeightPara(wts, m, nodeNum)
W = transWts$W
B = transWts$B
jacobianMat = getJacobianMatrix(xTrain,W,B,m,nPara,funName)
return (jacobianMat)
}
# jacobMat = jacobian(nnet,x)
jacobian.rsnns<-function(object, xTrain, funName = 'sigmoid', ...){
#nodeNum
nodeNum = c()
nodeNum = c(nodeNum, object$nInputs)
hiddenLayer = object$archParams$size
nodeNum = c(nodeNum,hiddenLayer)
nodeNum = c(nodeNum,object$nOutputs)
# wts : Wij + bi
nInput = object$nInputs
nUnit = as.numeric(extractNetInfo(object)$infoHeader$value[1])
biasVect = extractNetInfo(object)$unitDefinitions$unitBias
biasVect = biasVect[(nInput + 1):nUnit]
wtsMatSNNS = weightMatrix(object)[,(nInput + 1):nUnit]
wts = c()
for (i in 1:(nUnit - nInput)) {
wts = c(wts,biasVect[i])
curNodeWts = wtsMatSNNS[,i]
idx = which(curNodeWts != 0.0)
wts = c(wts,curNodeWts[idx])
}
m = length(nodeNum) - 1
nPara = length(wts)
transWts = transWeightPara(wts, m, nodeNum)
W = transWts$W
B = transWts$B
jacobianMat = getJacobianMatrix(xTrain,W,B,m,nPara,funName)
return (jacobianMat)
}
# jacobMat = jacobian(nnet,x) # nObs * nPara
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