HBLR.py 文件源码

def updateTheta(self):
        for k in range(self.K):
            inner_sum = np.zeros((1,self.num_feats))
            for m in range(self.n_tasks):
                inner_sum = inner_sum + self.phi[m,k] * np.atleast_2d(self.task_vectors[m,:])
            self.theta[k,:] = (np.dot(self.gamma[k],(np.dot(la.inv(self.sigma),self.mu.T) + inner_sum.T)  )).T