kernels.py 文件源码

def getTrainTestKernel(self, params, Xtest):
        self.checkParams(params)        
        params_kernels = params[len(self.kernels):]

        #compute Kd and EE
        Kd = np.zeros((self.n, Xtest[0].shape[0], len(self.kernels)))
        params_ind = 0
        kernel_paramsArr = params[len(self.kernels):]
        for k_i, k in enumerate(self.kernels):
            numHyp = k.getNumParams()
            kernelParams_range = np.array(xrange(params_ind, params_ind+numHyp), dtype=np.int)
            kernel_params = kernel_paramsArr[kernelParams_range]            
            Kd[:,:,k_i] = k.getTrainTestKernel(kernel_params, Xtest[k_i])
            params_ind += numHyp
        EE = elsympol(Kd, len(self.kernels))

        #compute K
        K=0             
        for i in xrange(len(self.kernels)): K += np.exp(2*params[i]) * EE[:,:,i+1]          

        return K