| # 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 |
| 20 #n, the number of points |
| 2.820262743625789881e-04 9.009123459691181779e-06 |
| 2.820254594553261995e-04 9.999771118164062500e-01 |
| 2.485832374077290297e-04 5.222017168998718262e-01 |
| 1.753650307655334473e-01 2.791631519794464111e-01 |
| 2.898158729076385498e-01 9.727136045694351196e-02 |
| 7.338384985923767090e-01 2.791624963283538818e-01 |
| 4.949567317962646484e-01 6.299093961715698242e-01 |
| 2.898163497447967529e-01 8.032956123352050781e-01 |
| 8.233794569969177246e-01 1.182343512773513794e-01 |
| 9.998748302459716797e-01 5.221998691558837891e-01 |
| 8.233797550201416016e-01 7.101401090621948242e-01 |
| 7.338387966156005859e-01 8.383949995040893555e-01 |
| 9.117470383644104004e-01 4.999577999114990234e-01 |
| 6.433208584785461426e-01 5.483341813087463379e-01 |
| 4.364458918571472168e-01 1.840758621692657471e-01 |
| 4.364446699619293213e-01 9.107476472854614258e-01 |
| 8.824680745601654053e-02 4.999580979347229004e-01 |
| 3.592866063117980957e-01 4.471395611763000488e-01 |
| 5.672345161437988281e-01 3.633152544498443604e-01 |
| 1.969549357891082764e-01 7.101389169692993164e-01 |
|
|
