age = raw_input('How old are you?\n')
high = raw_input('How tall are you?\n')
weight = raw_input('How much do you weigh?\n')
numage = extract_num(age)
numhigh = extract_num(high)
numweight = extract_num(weight)
convage = (numage * 52)
convhigh = ( numhigh / 30.48 )
convweight = ( numweight * 2.2 )
return "weeks " + str(convage) + " feet " + str(("%.2f" %convhigh)) + " pounds " + str(convweight)
if len(sys.argv) > 2:
usage()
elif len(sys.argv) == 1:
usage()
elif sys.argv[1] == 'male':
sex = 'male'
output = main()
write_file(output,sex)
elif sys.argv[1] == 'female':
sex = 'female'
output = main()
write_file(output,sex)
else:
usage()
output = net.metrics.obtain( dataTest, tepr, conf, err )
print
print "Test statistics:"
print conf
print "\n".join(map(string.strip,filter(len,output.values())))
ftr = config.get("Output", "probstrain")
fte = config.get("Output", "probstest")
if ftr: Data.writeProbs(trpr, ftr)
if fte: Data.writeProbs(tepr, fte)
model = config.get("Output", "savemodel")
if model:
net.savemodel(model)
##############################################################################
if __name__ == "__main__":
try:
import psyco
psyco.full()
except ImportError: pass
logging.basicConfig(format="%(message)s")
from usage import *
config = usage()
main(config)
