| # MPMC pretrained pointset |
| # Contains following parameters (refer to QMCPy's MPMC documentation for more details): |
| # 'loss_fn': L2ctr |
| # '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 |
| 16 #n, the number of points |
| 8.110924959182739258e-01 9.072285890579223633e-02 |
| 3.345458805561065674e-01 4.340894222259521484e-01 |
| 5.429031252861022949e-01 4.571107625961303711e-01 |
| 6.376283764839172363e-01 6.376264095306396484e-01 |
| 2.405019998550415039e-01 8.440246433019638062e-02 |
| 8.964466452598571777e-01 8.964467644691467285e-01 |
| 6.396158933639526367e-01 2.179266363382339478e-01 |
| 4.341247081756591797e-01 3.345390558242797852e-01 |
| 5.428842902183532715e-01 5.428965091705322266e-01 |
| 8.440296351909637451e-02 2.405025064945220947e-01 |
| 3.521091639995574951e-01 7.799577116966247559e-01 |
| 7.499994039535522461e-01 7.499990463256835938e-01 |
| 1.035534814000129700e-01 8.964458107948303223e-01 |
| 4.571070969104766846e-01 5.428951382637023926e-01 |
| 2.200445234775543213e-01 6.478926539421081543e-01 |
| 9.255301356315612793e-01 3.392622470855712891e-01 |
|
|
