def conditionalProbability(self, value, rvList):
self.setCurrentValue(value)
wlKernel = WLKernel(self.allNets)
diffScore = wlKernel.computeWLKernelFramework2(self.h)
return [
diffScore,
self.weightMap.getWeight(self.currGene, self.getCurrentValue())
]
def conditionalProbability(self, value, rvList):
self.setCurrentValue(value)
wlKernel = WLKernel(self.allNets)
diffScore = wlKernel.computeWLKernelFramework2(self.h)
return [diffScore, self.weightMap.getWeight(self.currGene, self.getCurrentValue())]
def conditionalProbability(self, value, rvList):
self.setCurrentValue(value)
wlKernel = WLKernel(self.allNets)
diffScore = wlKernel.computeWLKernelFramework1(self.h)
return diffScore
def conditionalProbability(self, value, rvList):
self.setCurrentValue(value)
wlKernel = WLKernel(self.allNets)
diffScore = wlKernel.computeWLKernelFramework1(self.h)
return diffScore
