| # 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 |
| 110 #n, the number of points |
| 4.031982421875000000e-01 2.268261015415191650e-01 |
| 8.053094148635864258e-02 5.440905094146728516e-01 |
| 4.508278667926788330e-01 1.779479533433914185e-01 |
| 4.186185300350189209e-01 2.433854824630543590e-04 |
| 2.583548128604888916e-01 7.438547611236572266e-01 |
| 6.723506450653076172e-01 2.908073365688323975e-01 |
| 1.548688262701034546e-01 9.014859795570373535e-02 |
| 3.119631409645080566e-01 8.032762408256530762e-01 |
| 8.878076672554016113e-01 2.757356762886047363e-01 |
| 3.608377873897552490e-01 3.099255859851837158e-01 |
| 6.480494141578674316e-01 9.426532387733459473e-01 |
| 3.535608053207397461e-01 6.810055673122406006e-02 |
| 4.212450683116912842e-01 2.793868631124496460e-02 |
| 4.644598662853240967e-01 5.544784069061279297e-01 |
| 7.692760825157165527e-01 4.060036242008209229e-01 |
| 8.691248297691345215e-01 4.790987968444824219e-01 |
| 9.478548169136047363e-01 8.637822866439819336e-01 |
| 4.768294692039489746e-01 8.249352574348449707e-01 |
| 2.981927394866943359e-01 3.776451945304870605e-01 |
| 7.099439203739166260e-02 1.508622467517852783e-01 |
| 5.263947844505310059e-01 7.247147560119628906e-01 |
| 2.285748720169067383e-01 8.637725114822387695e-01 |
| 6.211424469947814941e-01 3.602188825607299805e-01 |
| 5.808194279670715332e-01 4.995302855968475342e-01 |
| 9.197325110435485840e-01 4.538000226020812988e-01 |
| 7.210362553596496582e-01 7.410386204719543457e-01 |
| 7.100789994001388550e-02 8.142831921577453613e-01 |
| 1.691153794527053833e-01 1.656224131584167480e-01 |
| 1.676563769578933716e-01 6.428273916244506836e-01 |
| 4.393538236618041992e-01 3.911681771278381348e-01 |
| 1.967208385467529297e-01 4.924493134021759033e-01 |
| 8.528330922126770020e-01 7.107440233230590820e-01 |
| 1.548690348863601685e-01 9.999887943267822266e-01 |
| 5.312831327319145203e-02 2.194548994302749634e-01 |
| 7.739865183830261230e-01 8.372993469238281250e-01 |
| 8.528355956077575684e-01 1.237449944019317627e-01 |
| 9.091424345970153809e-01 6.707316637039184570e-01 |
| 7.874066233634948730e-01 3.440609276294708252e-01 |
| 1.210738867521286011e-01 4.291594028472900391e-02 |
| 4.295101463794708252e-01 7.735546827316284180e-01 |
| 9.728222340345382690e-02 4.060043990612030029e-01 |
| 8.812708854675292969e-01 8.032649755477905273e-01 |
| 8.102640509605407715e-01 1.878364533185958862e-01 |
| 2.425914406776428223e-01 4.750334918498992920e-01 |
| 8.987983465194702148e-01 9.052730798721313477e-01 |
| 3.303541541099548340e-01 5.207860469818115234e-01 |
| 5.678766369819641113e-01 1.554307043552398682e-01 |
| 4.508286416530609131e-01 9.745773077011108398e-01 |
| 2.847169041633605957e-01 1.958505064249038696e-01 |
| 7.068002820014953613e-01 4.335383474826812744e-01 |
| 1.364175230264663696e-01 3.625656068325042725e-01 |
| 5.453619956970214844e-01 5.045464262366294861e-02 |
| 4.904640018939971924e-01 2.610058784484863281e-01 |
| 9.353582262992858887e-01 3.776271641254425049e-01 |
| 5.535631775856018066e-01 4.640977680683135986e-01 |
| 2.221125513315200806e-01 9.999117851257324219e-01 |
| 8.987967967987060547e-01 4.291634261608123779e-02 |
| 8.002756834030151367e-01 6.428291797637939453e-01 |
| 5.678696632385253906e-01 8.517489433288574219e-01 |
| 8.155277371406555176e-01 8.875429034233093262e-01 |
| 6.867027282714843750e-01 6.199942231178283691e-01 |
| 8.263477683067321777e-01 3.060225248336791992e-01 |
| 5.114878416061401367e-01 4.190173447132110596e-01 |
| 9.776409268379211426e-01 8.142867684364318848e-01 |
| 3.873033225536346436e-01 4.436436295509338379e-01 |
| 6.617184877395629883e-01 5.902631878852844238e-01 |
| 4.032064080238342285e-01 8.754047751426696777e-01 |
| 4.983339011669158936e-01 6.591138243675231934e-01 |
| 3.535628616809844971e-01 9.363958835601806641e-01 |
| 6.480496525764465332e-01 2.097757011651992798e-01 |
| 3.486640006303787231e-02 8.875382542610168457e-01 |
| 5.350468158721923828e-01 3.259449303150177002e-01 |
| 9.478594064712524414e-01 2.194547504186630249e-01 |
| 1.843909770250320435e-01 9.194665551185607910e-01 |
| 6.953961253166198730e-01 9.205960482358932495e-02 |
| 5.955849289894104004e-01 7.620772719383239746e-01 |
| 9.776387810707092285e-01 1.656142920255661011e-01 |
| 6.015221476554870605e-01 1.381049305200576782e-01 |
| 2.192403376102447510e-01 9.999794960021972656e-01 |
| 2.124109268188476562e-01 7.107464671134948730e-01 |
| 3.746296465396881104e-01 6.286640763282775879e-01 |
| 7.419806718826293945e-01 7.875792980194091797e-01 |
| 5.312798917293548584e-02 8.372896909713745117e-01 |
| 1.104115918278694153e-01 5.825853347778320312e-01 |
| 2.374865487217903137e-02 4.538003206253051758e-01 |
| 3.454303145408630371e-01 6.851029992103576660e-01 |
| 2.192438840866088867e-01 9.895218681776896119e-06 |
| 9.627182483673095703e-01 5.440924167633056641e-01 |
| 4.186140596866607666e-01 6.035626530647277832e-01 |
| 8.376947045326232910e-01 5.777305960655212402e-01 |
| 1.444661766290664673e-01 6.707332134246826172e-01 |
| 3.171938657760620117e-01 2.757413089275360107e-01 |
| 2.724509239196777344e-01 5.678547620773315430e-01 |
| 2.221197485923767090e-01 3.385591804981231689e-01 |
| 2.847126424312591553e-01 9.027544856071472168e-01 |
| 2.285726964473724365e-01 1.665283525653649122e-05 |
| 6.351026296615600586e-01 5.381228923797607422e-01 |
| 5.453663468360900879e-01 9.588844776153564453e-01 |
| 2.586815357208251953e-01 1.237402930855751038e-01 |
| 7.257317304611206055e-01 2.433747500181198120e-01 |
| 2.124177068471908569e-01 9.027199819684028625e-03 |
| 7.531698346138000488e-01 5.152516365051269531e-01 |
| 4.211131334304809570e-01 9.929618239402770996e-01 |
| 1.843973398208618164e-01 2.465181946754455566e-01 |
| 6.107972264289855957e-01 6.935905218124389648e-01 |
| 1.210767775774002075e-01 7.875691056251525879e-01 |
| 6.953965425491333008e-01 9.176514744758605957e-01 |
| 4.767979681491851807e-01 1.069726198911666870e-01 |
| 3.599723428487777710e-02 2.908019721508026123e-01 |
| 7.419893145561218262e-01 7.454162836074829102e-02 |
|
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