LDData / mpmc /dim_2.nsamples_10.nbatch_1.LfL2per.b_1.txt
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# 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
10 #n, the number of points
8.545594811439514160e-01 3.549260199069976807e-01
5.319624543190002441e-01 7.706763148307800293e-01
4.519386291503906250e-01 2.618947923183441162e-01
3.317783176898956299e-01 5.665844678878784180e-01
1.333736777305603027e-01 5.329959094524383545e-02
6.484608054161071777e-01 4.683236777782440186e-01
7.285389304161071777e-01 9.764190912246704102e-01
4.813549295067787170e-02 6.534323096275329590e-01
2.470700740814208984e-01 1.671457141637802124e-01
9.364526271820068359e-01 8.581103682518005371e-01