def batchloop():
c = 0
numex = 0
prevperc = -1.
terr = [0.0]
numdigs = 2
tt = TT("iter progress", verbose=verbose)
tt.tick()
while datafeeder.hasnextbatch():
perc = round(c * 100. * (10**numdigs) /
datafeeder._numbats) / (10**numdigs)
if perc > prevperc:
terr0 = terr[0] * 1.0 / numex if numex > 0 else 0.0
s = ("%." + str(numdigs) + "f%% \t error: %.3f") % (perc,
terr0)
tt.live(s)
prevperc = perc
sampleinps, batsize = datafeeder.nextbatch(withbatchsize=True)
numex += batsize
sampleinps = sampletransf(*sampleinps)
eterr = trainf(*sampleinps)
if len(terr) != len(eterr) and terr.count(0.0) == len(terr):
terr = [0.0] * len(
eterr
) # ensure compatible size of terr (number of output scores)
if self.average_err is True:
terr = [
xterr + xeterr * batsize
for xterr, xeterr in zip(terr, eterr)
]
else:
terr = [
xterr + xeterr for xterr, xeterr in zip(terr, eterr)
]
c += 1
tt.stoplive()
if self.average_err is True:
terr = [xterr * 1.0 / numex for xterr in terr]
return terr
