def doDisplay(modelFN):
"""Display the content of HMM model stored in modelFN."""
h = HMM(['a'],['1']) # A trivial HMM model.
try:
with open(modelFN, "r") as M:
h.loadHMM(M)
h.dump()
print ""
print h.omega_X
print h.omega_O
except IOError as (errno, strerror):
print "I/O error({0}): {1}".format(errno, strerror)
def doJudge(modelFN, observationFN):
"""Load model and observation from modelFN and observationFN then make prediction
Keyword arguments:
modelFN -- File name to the file where HMM model stored in.
observationFN -- The name of file that observation sequences stored in."""
checkEmptyFN(modelFN=modelFN, observation=observationFN)
h = HMM(['a'],['1']) # A trivial HMM model.
obs = ''
try:
with open(modelFN, "r") as M:
h.loadHMM(M)
if dump:
h.dump()
except IOError as (errno, strerror):
print "I/O error({0}): {1}".format(errno, strerror)
