| # MPMC pretrained pointset |
| # Contains following parameters (refer to QMCPy's MPMC documentation for more details): |
| # 'loss_fn': L2dis |
| # 'lr': 0.001 |
| # 'nlayers': 3 |
| # 'weight_decay': 1e-06 |
| # 'nhid': 32 |
| # 'nbatch': 1 |
| # 'epochs': 200000 |
| # 'start_reduce': 100000 |
| # 'radius': 0.35 |
| # 'weights': None |
| # 'n_projections': 15 |
| 2 #d, the number of dimensions |
| 20 #n, the number of points |
| 1.529296636581420898e-01 6.356472969055175781e-01 |
| 5.351250767707824707e-01 9.618563652038574219e-01 |
| 8.833299279212951660e-01 2.921265661716461182e-01 |
| 3.940188586711883545e-01 4.422686994075775146e-01 |
| 2.016913145780563354e-01 7.357427477836608887e-01 |
| 9.473415613174438477e-01 4.878169596195220947e-01 |
| 7.257490754127502441e-01 8.446996808052062988e-01 |
| 6.209725141525268555e-01 5.786312222480773926e-01 |
| 6.833015084266662598e-01 3.911247849464416504e-01 |
| 9.917211532592773438e-01 8.786978125572204590e-01 |
| 4.447830319404602051e-01 7.960956096649169922e-01 |
| 9.520589560270309448e-02 8.951699733734130859e-02 |
| 8.260282278060913086e-01 6.831088066101074219e-01 |
| 2.893264293670654297e-01 9.003335833549499512e-01 |
| 3.244170844554901123e-01 3.339148163795471191e-01 |
| 2.393026798963546753e-01 2.464037537574768066e-01 |
| 3.312259539961814880e-02 5.105034708976745605e-01 |
| 4.785367250442504883e-01 1.871953606605529785e-01 |
| 7.736898064613342285e-01 1.409841477870941162e-01 |
| 5.649859905242919922e-01 3.194783255457878113e-02 |
|
|
