| # MPMC pretrained pointset |
| # Contains following parameters (refer to QMCPy's MPMC documentation for more details): |
| # 'loss_fn': L2ags |
| # '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 |
| 110 #n, the number of points |
| 1.629180312156677246e-01 6.391016244888305664e-01 |
| 9.736741781234741211e-01 5.777937769889831543e-01 |
| 8.927183151245117188e-01 6.336711645126342773e-01 |
| 5.325167775154113770e-01 9.943986535072326660e-01 |
| 1.402983367443084717e-01 2.941579818725585938e-01 |
| 9.942445158958435059e-01 3.708189427852630615e-01 |
| 7.836171984672546387e-02 8.923795819282531738e-01 |
| 5.560659766197204590e-01 3.253548145294189453e-01 |
| 2.678343653678894043e-01 8.025622963905334473e-01 |
| 7.035651803016662598e-01 3.049150109291076660e-01 |
| 7.569632530212402344e-01 4.308747649192810059e-01 |
| 9.715116769075393677e-02 3.740791976451873779e-01 |
| 6.763887405395507812e-01 5.929749011993408203e-01 |
| 3.048469722270965576e-01 7.582069635391235352e-01 |
| 3.157934546470642090e-01 2.788427174091339111e-01 |
| 3.178001567721366882e-02 1.668547391891479492e-01 |
| 5.384100675582885742e-01 8.720579743385314941e-02 |
| 1.867053955793380737e-01 5.148526653647422791e-02 |
| 1.810853630304336548e-01 7.783622145652770996e-01 |
| 4.214362800121307373e-01 4.124675393104553223e-01 |
| 9.656068086624145508e-01 7.973369359970092773e-01 |
| 1.138851419091224670e-01 1.317637860774993896e-01 |
| 4.679072797298431396e-01 5.313434600830078125e-01 |
| 8.849336504936218262e-01 7.607373595237731934e-02 |
| 6.656414866447448730e-01 9.202878475189208984e-01 |
| 4.070936739444732666e-01 9.789410233497619629e-02 |
| 1.708719581365585327e-01 2.131638526916503906e-01 |
| 2.445188611745834351e-01 9.572753906250000000e-01 |
| 6.325365304946899414e-01 3.591876626014709473e-01 |
| 4.393858015537261963e-01 2.429684698581695557e-01 |
| 7.429525256156921387e-01 9.026435613632202148e-01 |
| 3.615314960479736328e-01 6.609129905700683594e-01 |
| 9.837365746498107910e-01 4.792821407318115234e-01 |
| 2.764037251472473145e-01 3.355948030948638916e-01 |
| 7.941897511482238770e-01 4.591219425201416016e-01 |
| 2.047223448753356934e-01 3.952339291572570801e-01 |
| 6.841377615928649902e-01 1.421621590852737427e-01 |
| 4.504918158054351807e-01 8.578969240188598633e-01 |
| 7.778539657592773438e-01 1.849964559078216553e-01 |
| 9.115640521049499512e-01 7.130108475685119629e-01 |
| 7.679226994514465332e-01 6.138540506362915039e-01 |
| 2.160609066486358643e-01 5.144458413124084473e-01 |
| 5.266416072845458984e-02 5.857393145561218262e-01 |
| 4.103763997554779053e-01 9.837693572044372559e-01 |
| 7.837551236152648926e-01 9.387025237083435059e-01 |
| 2.974550426006317139e-01 1.518591493368148804e-01 |
| 6.412253975868225098e-01 7.868566513061523438e-01 |
| 7.474274039268493652e-01 2.467204816639423370e-02 |
| 8.572510480880737305e-01 2.585049271583557129e-01 |
| 5.064288973808288574e-01 5.545944441109895706e-03 |
| 7.143799662590026855e-01 8.145717382431030273e-01 |
| 3.968088030815124512e-01 6.038288474082946777e-01 |
| 5.951230525970458984e-01 9.479472637176513672e-01 |
| 1.351932883262634277e-01 9.323965907096862793e-01 |
| 6.591696143150329590e-01 6.135540455579757690e-02 |
| 5.121358633041381836e-01 6.856555342674255371e-01 |
| 3.845818042755126953e-01 1.642635092139244080e-02 |
| 2.580232024192810059e-01 4.243221879005432129e-01 |
| 2.478627115488052368e-01 3.408364951610565186e-02 |
| 1.081733405590057373e-01 8.484017848968505859e-01 |
| 9.230790138244628906e-01 3.423022627830505371e-01 |
| 6.136022806167602539e-01 1.246787384152412415e-01 |
| 5.668991804122924805e-01 4.928727746009826660e-01 |
| 4.578675925731658936e-01 2.690819799900054932e-01 |
| 9.322296380996704102e-01 7.388314008712768555e-01 |
| 4.962275624275207520e-01 5.601817965507507324e-01 |
| 2.443617023527622223e-02 8.203991651535034180e-01 |
| 8.417353034019470215e-01 4.299942404031753540e-02 |
| 1.521135270595550537e-01 4.528164565563201904e-01 |
| 2.255197614431381226e-01 1.122543886303901672e-01 |
| 9.588595628738403320e-01 1.079030558466911316e-01 |
| 5.227233171463012695e-01 4.418687522411346436e-01 |
| 8.113391995429992676e-01 8.396013379096984863e-01 |
| 6.318084150552749634e-02 7.064834982156753540e-02 |
| 3.340209126472473145e-01 9.676058888435363770e-01 |
| 4.094344750046730042e-02 4.845606982707977295e-01 |
| 4.315753579139709473e-01 7.226599454879760742e-01 |
| 6.943194866180419922e-01 6.956062316894531250e-01 |
| 3.239568173885345459e-01 6.229718327522277832e-01 |
| 9.421674609184265137e-01 1.606823652982711792e-01 |
| 3.401464819908142090e-01 1.954560577869415283e-01 |
| 1.973189562559127808e-01 9.105671644210815430e-01 |
| 7.218491435050964355e-01 2.346332520246505737e-01 |
| 9.038407802581787109e-01 2.880444228649139404e-01 |
| 6.510782241821289062e-01 5.040317177772521973e-01 |
| 6.836573034524917603e-02 7.324618101119995117e-01 |
| 1.242128983139991760e-01 5.419994592666625977e-01 |
| 3.803768754005432129e-01 8.761937618255615234e-01 |
| 5.943877622485160828e-03 6.756337881088256836e-01 |
| 4.794935286045074463e-01 1.762217581272125244e-01 |
| 5.478273034095764160e-01 7.481697797775268555e-01 |
| 8.050904870033264160e-01 2.057942450046539307e-01 |
| 8.481823801994323730e-01 8.661399483680725098e-01 |
| 8.319469094276428223e-01 6.699312925338745117e-01 |
| 2.869755029678344727e-01 5.705046057701110840e-01 |
| 8.507844060659408569e-02 3.501087725162506104e-01 |
| 9.488654136657714844e-01 9.746485352516174316e-01 |
| 3.714267909526824951e-01 3.148026168346405029e-01 |
| 2.327089309692382812e-01 7.053131461143493652e-01 |
| 5.783031582832336426e-01 6.494349837303161621e-01 |
| 8.230924606323242188e-01 4.033816456794738770e-01 |
| 8.671849966049194336e-01 5.228168368339538574e-01 |
| 8.784320354461669922e-01 8.883491158485412598e-01 |
| 4.851162433624267578e-01 8.308359980583190918e-01 |
| 6.201102137565612793e-01 7.683072686195373535e-01 |
| 5.863195657730102539e-01 2.227170169353485107e-01 |
| 3.508612513542175293e-01 4.700367748737335205e-01 |
| 7.322553992271423340e-01 5.487284064292907715e-01 |
| 1.385656464844942093e-02 2.508822679519653320e-01 |
| 6.034135222434997559e-01 3.849724531173706055e-01 |
|
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