def savetovwfile(finelabels,coarselabels,data):
for x in range(len(finelabels)):
d = data[x]
fl = finelabels[x]
cl = coarselabels[x]
u.appendfile(o.vwtrainline(fl,list(d),1),cifardir+"finedata")
u.appendfile(o.vwtrainline(cl,list(d),1),cifardir+"coarsedata")
def makefile(data,labels,labelname):
num = 0
for y in range(50000/500):
chunk = []
for z in range(500):
d = list(data[num])
l = labels[num]
label = str(l)+" | "
features = " ".join([str(x[0])+":"+str(x[1])
for x in zip(range(len(d)),d)])
chunk.append(label+features)
num = num + 1
u.appendfile("\n".join(chunk),
cifar100.cifardir+"vwtraindata"+labelname)
def test():
data = [[x for y in range(5)] for x in range(10)]
for x in data:
u.appendfile(vwtrainline(x[0],x,10),
"/home/umar/testdata1")
print trainvwinitial("/home/umar/testreg1",3,
"/home/umar/testdata1")
time.sleep(5)
startvwpredictor("/home/umar/testreg1")
for x in data:
time.sleep(2)
print "predicting ",x[0]," : ",vwpredict(x,10)
killvw()
subprocess.call(["rm","/home/umar/testdata1.cache"])
subprocess.call(["rm","/home/umar/testdata1"])
subprocess.call(["rm","/home/umar/testreg1"])