t = 5;
dt = 0.001;
# init EA
ea = EA(INdim, OUTdim, N, maxgen,popsize,minw,maxw);
ea.initPop();
# evolution insert here
while ea.wantsEval():
print 'gen: '+repr(ea.generation())+' actual ind is ' +repr(ea.actualOne())
ind = ea.getInd();
ind.printMatrix();
error = evalInd(ind);
#error = 0;
print 'Ind: '+repr(ea.actualOne())+' Error is: '+repr(error) +' fitness is: '+repr(ind.getFitness().get());
# poc++ and check end of ea
ea.nextIndividual();
# load the best one found
ind = ea.getIndNo(ea.getBest());
net = buildExperiment(ind);
print 'best fitness is:'
print ind.getFitness().get();
print 'done\n\n\n'
return w
def getOut(w):
w = ind.getMatrix().get2DOutMatrixNo(0)
return w
def getW(w):
w = ind.getMatrix().getWeights()
return w
# print ea.generation();
net = buildExperiment(INdim, OUTdim, N, getI1, getI2, getOut, getW, t, dt)
# run experiment and read MSE
"""
error = runNet(net,t,dt);
ind.setFitness(error[0]);
print 'error is:'
print error[0]
print 'fitness is:'
print ind.getFitness().get();
"""
break
# poc++ and check end of ea
ea.nextIndividual()
print "done"
# #
# runBest();
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();
er = ea.getBestInd().getFitness().getError();
print '%d %.5f %.5f\n' % (ea.generation(),fit,er)
f.write('%d %.8f %.8f\n' % (ea.generation(),fit,er))
f.flush()
os.fsync(f.fileno()) # just write it to disk
# poc++ and check end of ea
ea.nextIndividual();
f.close()
# load the best one found
ind = ea.getIndNo(ea.getBest());
net = buildExperiment(ind);
print 'best fitness is:'
print ind.getFitness().get();
print 'done\n\n\n'
`
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()
er = ea.getBestInd().getFitness().getError()
print '%d %.5f %.5f\n' % (ea.generation(), fit, er)
f.write('%d %.8f %.8f\n' % (ea.generation(), fit, er))
f.flush()
os.fsync(f.fileno()) # just write it to disk
# poc++ and check end of ea
ea.nextIndividual()
f.close()
# load the best one found
ind = ea.getIndNo(ea.getBest())
net = buildExperiment(ind)
print 'best fitness is:'
print ind.getFitness().get()
print 'done\n\n\n'
