def test_mmlhs(self):
lh = LatinHypercube(rand_latin_hypercube(10,2), 2, 1)
phi1 = lh.mmphi()
lh_opt = _mmlhs(lh, 20, 20)
opt_phi = lh_opt.mmphi()
self.assertTrue(is_latin_hypercube(lh_opt))
self.assertTrue(opt_phi < phi1)
def _get_input_values(self):
rand_doe = rand_latin_hypercube(self.num_sample_points, self.num_parameters)
best_lhc = LatinHypercube(rand_doe, q=1, p=_norm_map[self.norm_method])
for q in self.qs:
lh = LatinHypercube(rand_doe, q, _norm_map[self.norm_method])
lh_opt = _mmlhs(lh, self.population, self.generations)
if lh_opt.mmphi() < best_lhc.mmphi():
best_lhc = lh_opt
for row in best_lhc:
yield row