| # MPMC pretrained pointset |
| # Contains following parameters (refer to QMCPy's MPMC documentation for more details): |
| # 'loss_fn': L2ags |
| # '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 |
| 1.026103645563125610e-01 4.105069339275360107e-01 |
| 5.812466144561767578e-01 1.557531207799911499e-01 |
| 9.053921103477478027e-01 9.165728092193603516e-02 |
| 7.953991293907165527e-01 3.493240177631378174e-01 |
| 2.856402695178985596e-01 4.105979576706886292e-02 |
| 8.448917269706726074e-01 8.468937277793884277e-01 |
| 3.866153955459594727e-02 6.751799583435058594e-01 |
| 3.322084546089172363e-01 7.719202041625976562e-01 |
| 7.183643579483032227e-01 4.672898650169372559e-01 |
| 4.721246063709259033e-01 2.874826788902282715e-01 |
| 5.376015901565551758e-01 9.607437252998352051e-01 |
| 1.719327867031097412e-01 2.154931128025054932e-01 |
| 9.608311057090759277e-01 7.008652687072753906e-01 |
| 6.429794430732727051e-01 6.126794219017028809e-01 |
| 4.012241363525390625e-01 5.373613834381103516e-01 |
| 2.193052917718887329e-01 8.932088017463684082e-01 |
|
|
