def main():
if len(sys.argv) < 2:
exit()
argsNb = len(sys.argv)
trainfile = open(sys.argv[argsNb-1])
testfile = open("smstest.txt")
print "Tokenize..."
traintokenlines = token.smartTokenizer(trainfile)
print "Done"
#traintokenlines = token.preprocessTraining(traintokenlines,mod.lexicon)
#print traintokenlines
#mod = mlaplace.Model(traintokenlines,3)
for order in range(2,4):
print "-------------------------------------------------------"
print "ORDER:",order
print "Token Counting ..."
mod = mkn.Model(traintokenlines,order)
print "Done"
if(order > 1):
print "Checking probabilities ..."
print mod.check_proba(order,0.01)
print "Done"
print "Perplexity ..."
print mod.perplexity(token.smartTokenizer(testfile))
print "Done"
if(order > 1):
print "Shannon Game..."
message = ("I","LL","LET","BOTH","OF","MY")
test = message[-(order-1):]
game = mod.shannon_game(test)
print "Done"
i = 0
for g in game:
if g[1] == 'PARENTS':
print i
else:
i += 1
print "PARENT FOUND AT POS:",i
print "TOP 10:"
print game[:10]
def main():
if len(sys.argv) < 2:
exit()
argsNb = len(sys.argv)
trainfile = open(sys.argv[argsNb-1])
#testfile = open("../smstest.txt")
traintokenlines = token.smartTokenizer(trainfile)
print traintokenlines
#mod = mlaplace.Model(traintokenlines,3)
mod = mkn.Model(traintokenlines,3)
#print mod.perplexity(token.smartTokenizer(testfile))
print mod.shannon_game(("BOTH","OF"))
