LDData / mpmc /dim_2.nsamples_10.nbatch_1.LfL2star.b_1.txt
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# MPMC pretrained pointset
# Contains following parameters (refer to QMCPy's MPMC documentation for more details):
# 'loss_fn': L2dis
# '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
1.617343425750732422e-01 8.548951148986816406e-01
4.797364473342895508e-01 2.027386426925659180e-01
9.160805493593215942e-02 9.160773456096649170e-02
3.537077605724334717e-01 6.441863179206848145e-01
2.492302656173706055e-01 3.967199325561523438e-01
5.973119139671325684e-01 5.250751972198486328e-01
9.346848726272583008e-01 4.651924967765808105e-01
8.658876419067382812e-01 9.632944464683532715e-01
6.940287351608276367e-01 7.571041584014892578e-01
7.860321998596191406e-01 2.799497246742248535e-01