from hmm import HMM
model = HMM()
model.init_random(3,4)
print model.trans
for line in model.trans:
print sum(line)
print model.emit
for line in model.emit:
print sum(line)
def dataFormatter(filename):
with open(filename,'r') as f:
tmp = [ list(s) for s in f.read().split()]
sample = []
for seq in tmp:
seq = map(lambda x:ord(x)-ord('A'), seq)
sample.append(seq)
return sample
#sample = sample[0]
sample = dataFormatter('hmm_test1.in')
print sample
model.train(sample)
forEvaluation = dataFormatter('hmm_evaluation.in')
for seq in forEvaluation:
