Source Code for Module park.optim.snobfit

 1  from snobfit.snobfit import snobfit 
 2   
 3   
 4 -class Snobfit(object): 
 5      """ 
 6      Response surface optimizer 
 7   
 8      This implements `park.fit.Fitter`. 
 9      """ 
10   
11      p=0.5 
12      dn=5   # Extra 
13      maxiter=1000 
14      maxfun=1000 
15      nstop=50 
16   
17 -    def __init__(self, **kw): 
18          """ 
19   
20          """ 
21          for k,v in kw.items(): 
22              if not hasattr(self, k): 
23                  raise KeyError("Snobfit has no attribute "+k) 
24              setattr(self,k,v) 
25   
26 -    def fit(self, objective, handler): 
27          """ 
28          Run a monte carlo fit. 
29   
30          This procedure maps a local optimizer across a set of initial points. 
31          """ 
32          pars = fitness.fit_parameters() 
33          bounds = numpy.array([p.range for p in pars]).T 
34          x0 = [p.value for p in pars] 
35          snobfit(objective, x0, bounds, fglob=0) 
36