| # MPMC pretrained pointset |
| # Contains following parameters (refer to QMCPy's MPMC documentation for more details): |
| # 'loss_fn': L2per |
| # '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 |
| 4.684073030948638916e-01 1.972783170640468597e-02 |
| 7.217126488685607910e-01 9.318731725215911865e-02 |
| 6.617784500122070312e-01 5.304388999938964844e-01 |
| 2.156377285718917847e-01 5.852209329605102539e-01 |
| 9.192174077033996582e-01 6.486882567405700684e-01 |
| 7.858322858810424805e-01 7.749922871589660645e-01 |
| 9.625631570816040039e-01 2.130611538887023926e-01 |
| 8.469814658164978027e-01 3.995802998542785645e-01 |
| 5.395264625549316406e-01 3.285090029239654541e-01 |
| 2.890186011791229248e-01 1.464377641677856445e-01 |
| 5.907761454582214355e-01 8.454505205154418945e-01 |
| 1.091156974434852600e-01 8.867861032485961914e-01 |
| 4.076090455055236816e-01 4.606111645698547363e-01 |
| 2.610267885029315948e-02 9.698644876480102539e-01 |
| 1.553743481636047363e-01 2.874630391597747803e-01 |
| 3.455781638622283936e-01 7.191598415374755859e-01 |
|
|
