| # MPMC pretrained pointset |
| # Contains following parameters (refer to QMCPy's MPMC documentation for more details): |
| # 'loss_fn': L2mix |
| # '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 |
| 1.010565385222434998e-01 2.825703024864196777e-01 |
| 4.629189372062683105e-01 8.923217654228210449e-01 |
| 6.471792459487915039e-01 4.594087004661560059e-01 |
| 5.179181098937988281e-01 5.329118967056274414e-01 |
| 3.420061469078063965e-01 9.647744894027709961e-01 |
| 8.455780744552612305e-01 2.126150578260421753e-01 |
| 4.003773629665374756e-01 3.944986686110496521e-02 |
| 8.943774700164794922e-01 6.505769491195678711e-01 |
| 7.726320028305053711e-01 3.344604671001434326e-01 |
| 2.876435220241546631e-01 6.025365591049194336e-01 |
| 2.231824994087219238e-01 3.996318280696868896e-01 |
| 7.140181660652160645e-01 8.337585330009460449e-01 |
| 1.464836448431015015e-01 7.693986892700195312e-01 |
| 9.683458805084228516e-01 7.240880727767944336e-01 |
| 5.868296027183532715e-01 1.068002134561538696e-01 |
| 3.086586110293865204e-02 1.595646291971206665e-01 |
|
|
