053ebbe2d4666e1575fe7153c4fe75a55db47a0c,GPy/models/uncollapsed_sparse_GP.py,uncollapsed_sparse_GP,_computations,#uncollapsed_sparse_GP#,46

Before Change

        self.dL_dpsi2 = - 0.5 * self.beta * (-self.D*self.Kmmi + mdot(self.Kmmi,self.q_u_expectation[1],self.Kmmi))

        // Compute dL_dKmm
        tmp =  np.dot(self.A,self.Kmmi)
        tmp =  0.5*np.dot(np.eye(self.M) + tmp + tmp.T, self.q_u_expectation[1]) -0.5*self.Kmm - np.dot(self.psi1,self.VmT)
        self.dL_dKmm = mdot(self.Kmmi,tmp,self.Kmmi)

    def log_likelihood(self):

After Change

        self.dL_dpsi2 = 0.5 * self.beta * self.D * (self.Kmmi - mdot(self.Kmmi,self.q_u_expectation[1],self.Kmmi))

        // Compute dL_dKmm
        tmp = -0.5*self.beta*self.D*self.psi2 -0.5*self.D*self.Kmm +0.5*self.D*(self.q_u_expectation[1]) + 0.5*self.beta*mdot(self.psi2,self.Kmmi,self.q_u_expectation[1]) + 0.5*self.beta*mdot(self.q_u_expectation[1],self.Kmmi, self.psi2)
        //tmp = - np.dot(self.q_u_expectation[0],self.psi1V.T)
        self.dL_dKmm = mdot(self.Kmmi,tmp,self.Kmmi)

    def log_likelihood(self):

Instances