| # MPMC pretrained pointset |
| # Contains following parameters (refer to QMCPy's MPMC documentation for more details): |
| # 'loss_fn': L2sym |
| # '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 |
| 6.990619897842407227e-01 1.761599034070968628e-01 |
| 9.994822740554809570e-01 4.072708487510681152e-01 |
| 6.980910301208496094e-01 7.994100451469421387e-01 |
| 5.084194540977478027e-01 4.257598221302032471e-01 |
| 1.954460293054580688e-01 5.447666645050048828e-01 |
| 5.927724242210388184e-01 6.367537379264831543e-01 |
| 3.202902376651763916e-01 1.164556369185447693e-01 |
| 4.066110551357269287e-01 2.648424208164215088e-01 |
| 4.060102105140686035e-01 8.862603902816772461e-01 |
| 1.703071058727800846e-03 4.059808254241943359e-01 |
| 1.842581778764724731e-01 9.996148347854614258e-01 |
| 3.017129302024841309e-01 7.370691299438476562e-01 |
| 1.832103431224822998e-01 9.704779949970543385e-04 |
| 1.008246839046478271e-01 3.626950979232788086e-01 |
| 8.966570496559143066e-01 3.609837293624877930e-01 |
| 8.042647838592529297e-01 5.385689139366149902e-01 |
|
|
