* wpylib.math.fitting.fit_func_base: changed default fitting method to leastsq.

Wirawan Purwanto 9 years ago
parent b93d40d0fc
commit 70ae2812c3
  1. 6

@ -41,8 +41,8 @@ The following methods are currently supported for scipy.optimize:
See the documentation of `scipy.optimize` for more details.
The `fmin` algorithm is the slowest although it is fairly foor proof to
converge it (it may take many iterations).
The leastsq` algorithm is the best but it requires parameter guess that is
converge it (it may take very many iterations).
The `leastsq` algorithm is the best, but it requires parameter guess that is
I don't have much success with `anneal`--it seems to behave erratically in
my limited experience. YMMV.
@ -492,7 +492,7 @@ class fit_func_base(object):
fit_default_opts["lmfit:leastsq"] = dict(xtol=1e-8, epsfcn=1e-6)
debug = 0
dbg_params = 1
fit_method = 'fmin'
fit_method = 'leastsq' # changed 20150529 from fmin. Leastsq is much faster.
fit_opts = fit_default_opts
#fit_opts = dict(xtol=1e-5, maxfun=100000, maxiter=10000, disp=0)
def fit(self, x, y, dy=None, fit_opts=None, Funct_hook=None, Guess=None):