| # MPMC pretrained pointset |
| # Contains following parameters (refer to QMCPy's MPMC documentation for more details): |
| # 'loss_fn': L2ctr |
| # '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 |
| 120 #n, the number of points |
| 8.050649762153625488e-01 4.837372303009033203e-01 |
| 4.937267899513244629e-01 4.787981510162353516e-01 |
| 3.217083215713500977e-01 4.998588860034942627e-01 |
| 3.124698102474212646e-01 8.714712262153625488e-01 |
| 4.758256375789642334e-01 1.966525614261627197e-01 |
| 2.955922484397888184e-01 2.856397926807403564e-01 |
| 9.514399170875549316e-01 1.715298295021057129e-01 |
| 6.514367461204528809e-01 5.663927197456359863e-01 |
| 5.353553891181945801e-01 6.549803018569946289e-01 |
| 8.147078156471252441e-01 6.272405982017517090e-01 |
| 7.715343236923217773e-01 7.923738956451416016e-01 |
| 7.874768972396850586e-01 5.196958780288696289e-01 |
| 1.616356372833251953e-01 7.807103395462036133e-01 |
| 3.853931128978729248e-01 4.348923861980438232e-01 |
| 1.928119361400604248e-01 9.346766471862792969e-01 |
| 1.655977070331573486e-01 4.543717801570892334e-01 |
| 2.691586315631866455e-01 8.890842795372009277e-01 |
| 3.718799650669097900e-01 1.473999023437500000e-01 |
| 1.323779076337814331e-01 9.867114424705505371e-01 |
| 7.586398124694824219e-01 6.511136144399642944e-02 |
| 6.024917364120483398e-01 2.791077457368373871e-02 |
| 7.933948040008544922e-01 1.470670104026794434e-01 |
| 1.354823112487792969e-01 4.213179349899291992e-01 |
| 4.227201640605926514e-01 2.991029918193817139e-01 |
| 9.717811346054077148e-01 5.476355552673339844e-01 |
| 4.978886619210243225e-02 3.363390564918518066e-01 |
| 8.299117684364318848e-01 8.450693488121032715e-01 |
| 2.126097530126571655e-01 5.981768369674682617e-01 |
| 1.761800050735473633e-01 3.109152019023895264e-01 |
| 1.118870824575424194e-01 8.171906471252441406e-01 |
| 5.001642704010009766e-01 4.968390166759490967e-01 |
| 1.466411501169204712e-01 5.353788137435913086e-01 |
| 2.891258299350738525e-01 7.313233017921447754e-01 |
| 3.269452154636383057e-01 6.182274222373962402e-01 |
| 5.673403143882751465e-01 5.342574715614318848e-01 |
| 5.800687074661254883e-01 8.340460062026977539e-01 |
| 1.943703591823577881e-01 1.641621440649032593e-01 |
| 5.404412746429443359e-01 4.973178207874298096e-01 |
| 9.780585020780563354e-02 5.645782947540283203e-01 |
| 7.527764439582824707e-01 7.251618504524230957e-01 |
| 2.179910540580749512e-01 1.865564286708831787e-01 |
| 2.964272201061248779e-01 5.158833861351013184e-01 |
| 9.114570021629333496e-01 9.124214053153991699e-01 |
| 3.339417874813079834e-01 3.540551364421844482e-01 |
| 5.316941142082214355e-01 3.258785307407379150e-01 |
| 5.855619907379150391e-01 4.281584918498992920e-01 |
| 4.476913213729858398e-01 5.493538975715637207e-01 |
| 8.677449226379394531e-01 7.595161199569702148e-01 |
| 1.295221410691738129e-02 8.535869717597961426e-01 |
| 3.169344663619995117e-01 5.103155225515365601e-02 |
| 7.283825874328613281e-01 2.934345901012420654e-01 |
| 5.572906881570816040e-02 9.114432930946350098e-01 |
| 8.860969543457031250e-01 8.691785335540771484e-01 |
| 8.377359509468078613e-01 2.723439633846282959e-01 |
| 9.528633952140808105e-01 7.038034796714782715e-01 |
| 2.649525105953216553e-01 4.735359549522399902e-01 |
| 9.303606748580932617e-01 2.314662486314773560e-01 |
| 3.613421022891998291e-01 5.807765126228332520e-01 |
| 9.178048968315124512e-01 4.147032797336578369e-01 |
| 4.142029881477355957e-01 6.726658940315246582e-01 |
| 1.777398139238357544e-01 6.341816186904907227e-01 |
| 8.874732255935668945e-01 4.597803652286529541e-01 |
| 2.472198009490966797e-01 7.099199891090393066e-01 |
| 6.382987499237060547e-01 1.879346966743469238e-01 |
| 9.838415384292602539e-01 9.838543534278869629e-01 |
| 9.019279479980468750e-01 1.391936559230089188e-02 |
| 4.438478052616119385e-01 9.727345407009124756e-02 |
| 9.644571542739868164e-01 6.049264073371887207e-01 |
| 1.536803841590881348e-01 1.325352191925048828e-01 |
| 4.810983538627624512e-01 7.199608683586120605e-01 |
| 6.205126643180847168e-01 3.367264866828918457e-01 |
| 3.732920289039611816e-01 8.354455828666687012e-01 |
| 7.186353951692581177e-02 6.895470023155212402e-01 |
| 5.135335326194763184e-01 1.601812094449996948e-01 |
| 8.168874382972717285e-01 2.057301998138427734e-01 |
| 6.600593924522399902e-01 2.551690340042114258e-01 |
| 2.510697841644287109e-01 3.332484140992164612e-02 |
| 8.514884710311889648e-01 6.692054271697998047e-01 |
| 7.784147858619689941e-01 3.729014694690704346e-01 |
| 9.359384775161743164e-01 8.127480149269104004e-01 |
| 8.776947259902954102e-01 3.133688271045684814e-01 |
| 6.012794971466064453e-01 7.779877781867980957e-01 |
| 5.728381276130676270e-01 2.406369298696517944e-01 |
| 7.049005627632141113e-01 6.462682485580444336e-01 |
| 4.016410708427429199e-01 6.483618915081024170e-02 |
| 1.442766096442937851e-02 7.898833602666854858e-02 |
| 3.323694691061973572e-02 7.507195472717285156e-01 |
| 4.130321145057678223e-01 4.903351664543151855e-01 |
| 2.345506399869918823e-01 3.715930581092834473e-01 |
| 2.290465682744979858e-01 9.570388197898864746e-01 |
| 3.438619896769523621e-02 2.266297042369842529e-01 |
| 7.399177551269531250e-01 5.828226804733276367e-01 |
| 7.956616878509521484e-01 9.644567966461181641e-01 |
| 6.733387112617492676e-01 4.432038664817810059e-01 |
| 4.336649775505065918e-01 7.659329771995544434e-01 |
| 8.926492184400558472e-02 1.408182084560394287e-02 |
| 5.518536567687988281e-01 1.144369840621948242e-01 |
| 1.022461578249931335e-01 3.957117497920989990e-01 |
| 6.874423623085021973e-01 8.867473006248474121e-01 |
| 5.164582729339599609e-01 8.046777844429016113e-01 |
| 6.956303864717483521e-02 2.657774984836578369e-01 |
| 6.835997104644775391e-01 8.282896876335144043e-02 |
| 9.707779884338378906e-01 3.507101535797119141e-01 |
| 6.382245421409606934e-01 9.322301745414733887e-01 |
| 3.972039818763732910e-01 9.721946716308593750e-01 |
| 7.422180771827697754e-01 3.942002356052398682e-01 |
| 7.243018150329589844e-01 9.461591243743896484e-01 |
| 8.877094835042953491e-02 6.557897329330444336e-01 |
| 9.861536026000976562e-01 1.032053828239440918e-01 |
| 2.769231498241424561e-01 2.081228494644165039e-01 |
| 1.229099184274673462e-01 1.085804775357246399e-01 |
| 6.188017725944519043e-01 6.860238313674926758e-01 |
| 6.665842533111572266e-01 7.433931827545166016e-01 |
| 3.516810834407806396e-01 2.461979389190673828e-01 |
| 4.596892595291137695e-01 9.218186736106872559e-01 |
| 3.438216149806976318e-01 7.980651259422302246e-01 |
| 7.103689312934875488e-01 1.289453357458114624e-01 |
| 5.531576871871948242e-01 9.031705856323242188e-01 |
| 8.564500808715820312e-01 4.629163444042205811e-02 |
| 4.591108858585357666e-01 3.840770721435546875e-01 |
|
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