Optimize variational parameter gamma γ_t = α_t + \sum_{n=1}^{N_d} ϕ_{t, n}
(self)
| 58 | return phi |
| 59 | |
| 60 | def _maximize_gamma(self): |
| 61 | """ |
| 62 | Optimize variational parameter gamma |
| 63 | γ_t = α_t + \sum_{n=1}^{N_d} ϕ_{t, n} |
| 64 | """ |
| 65 | D = self.D |
| 66 | phi = self.phi |
| 67 | alpha = self.alpha |
| 68 | |
| 69 | gamma = np.tile(alpha, (D, 1)) + np.array( |
| 70 | list(map(lambda x: np.sum(x, axis=0), phi)) |
| 71 | ) |
| 72 | return gamma |
| 73 | |
| 74 | def _maximize_beta(self): |
| 75 | """ |