# which setup to use?
config=1
if config == 1: # this works pretty well (approximates sum)
useRecurrent =True
pMut = 0.1
pCross = 0.9;
popsize = 3;
maxgen = 1;
N=2
print N
#################
ea = EA(INdim, OUTdim, N, maxgen,popsize,minw,maxw);
ea.setProbabilities(pMut,pCross);
ea.initPop();
print 'starting build'
# evolution insert here
ind = ea.getInd();
ind.printMatrix();
net = buildExperiment(ind);
print 'build done \n\n'
print 'starting build'
# evolution insert here
#
expNo = round(1000000 * random.random(), 0)
# generate some number for text file data
print expNo
f = open('data/ea_%d.txt' % expNo, 'w')
# evolution insert here
while ea.wantsEval():
print 'Gen: ' + repr(
ea.generation()) + '/' + repr(maxgen) + ' actual ind is ' + repr(
ea.actualOne()) + '/' + repr(popsize) + ' best so far: ' + repr(
ea.getBestFitness())
ind = ea.getInd()
#ind.printMatrix();
error = evalInd(ind)
ind.getFitness().setError(error)
print 'Ind: ' + repr(
ea.actualOne()) + ' Error is: ' + repr(error) + ' fitness is: ' + repr(
ind.getFitness().get())
# print ea.getActualWeights();
# evaluated the last individual in the generatio? write stats
if (ea.actualOne() == (popsize - 1)):
print 'check: ' + repr(ea.generation())
fit = ea.getBestInd().getFitness().get()
