return (pop.total_iters, optmethod)
if __name__ == "__main__":
method = sys.argv[1]
K = 30 if method.count(',') == 0 else method.count(',') + 1
if len(sys.argv) > 2:
K = eval(sys.argv[2])
maxfev = '1050' if len(sys.argv) <= 3 else sys.argv[3]
m_opts = dict(K = K, method = method)
# b stands for "basinhopping"
if method.find(',') >= 0:
shortname = 'mUNIF%d' % K
comments = 'Iterative UNIFORM-sampling mix (%s), pop. K=%d' % (method, K)
else:
shortname = 'pUNIF%d_%s' % (K, method)
comments = 'Iterative UNIFORM-sampling %s, pop. K=%d' % (method, K)
e = Experiment(eval(maxfev), shortname, comments)
for i in e.finstances():
(n_iters, optmethod) = minimize_f(i, **m_opts)
e.f.finalizerun()
comment = ' with %d iterations' % n_iters
if optmethod is not None:
comment += ' (* %s)' % optmethod
e.freport(i, comment)
method = sys.argv[1]
K = 30 if method.count(',') == 0 else method.count(',') + 1
if len(sys.argv) > 2:
K = eval(sys.argv[2])
maxfev = '1050' if len(sys.argv) <= 3 else sys.argv[3]
eps = 0.5 if len(sys.argv) <= 4 else eval(sys.argv[4])
accrual = 'latest' if len(sys.argv) <= 5 else sys.argv[5]
m_opts = dict(K=K, method=method, eps=eps, accrual=accrual)
if method.find(',') >= 0:
shortname = 'mE%dG%d%s' % (int(
eps * 100), K, accrual if accrual != 'latest' else '')
comments = 'Iterative epsgreedy-sampling mix (%s), eps=%s, pop. K=%d, cr. accrual = %s' % (
method, eps, K, accrual)
else:
shortname = 'pE%dG%d%s_%s' % (int(
eps * 100), K, accrual if accrual != 'latest' else '', method)
comments = 'Iterative epsgreedy-sampling %s, eps=%s, pop. K=%d, cr. accrual = %s' % (
method, eps, K, accrual)
e = Experiment(eval(maxfev), shortname, comments)
for i in e.finstances():
(n_iters, optmethod) = minimize_f(i, **m_opts)
e.f.finalizerun()
comment = ' with %d iterations' % n_iters
if optmethod is not None:
comment += ' (* %s)' % optmethod
e.freport(i, comment)
cb = MMCallback(fi, f, maxfevals, mm, mmdata, n_iters)
try:
warnings.simplefilter("ignore") # ignore warnings about unused/ignored options
mm(f.evalfun, x0, inner_cb = cb)
except MMCancel:
pass # Ok.
n_iters = cb.n_iters
return n_restarts
if __name__ == "__main__":
method = sys.argv[1]
wantrestarts = 0 if len(sys.argv) <= 2 else eval(sys.argv[2])
maxfev = '1050' if len(sys.argv) <= 3 else sys.argv[3]
if wantrestarts > 0:
shortname = '%sr%d' % (method, wantrestarts)
comments = 'Method %s with %d planned restarts' % (method, wantrestarts)
else:
shortname = '%s' % method
comments = 'Method %s' % method
e = Experiment(eval(maxfev), shortname, comments)
for i in e.finstances():
restarts = minimize_f(i, method, wantrestarts)
e.f.finalizerun()
e.freport(i, ' with %d restarts' % restarts)