class HMM_Util:
''' util class for training hmms '''
def __init__(self):
self.ggmm = GMM_Util()
def _averageScore(self, model, test):
''' build average model score with test data '''
problist = []
for t in test:
problist.append(model.score(t))
return np.average(problist)
def _createGMMS(self, obs):
''' create gmms for hmm '''
self.ggmm = GMM_Util()
return self.ggmm.trainGmms(obs)
def buildModel(self, obs, test):
''' building hmm model '''
logprob = -sys.maxint - 1
model = None
i = 0
while logprob < c.logprobBound:
### init HMM instance ###
gmms = self._createGMMS(obs)
#gmms = None
m = GestureHMM(c.n_components,
n_mix=c.n_mix,
gmms=gmms,
covariance_type=c.covariance_type,
algorithm=c.algorithm,
n_iter=c.n_iter,
params='',
thresh=1e-4)
### fit the model ###
m = m.fit(obs)
l = self._averageScore(m, test)
if 0 > l > logprob:
logprob = l
model = m
i += 1
if i >= c.n_tries:
break
print "states: " + str(c.n_components) + "\tlikeli: " + str(
round(logprob, 2))
return model, logprob
class HMM_Util:
''' util class for training hmms '''
def __init__(self):
self.ggmm = GMM_Util()
def _averageScore(self, model, test):
''' build average model score with test data '''
problist = []
for t in test:
problist.append(model.score(t))
return np.average(problist)
def _createGMMS(self, obs):
''' create gmms for hmm '''
self.ggmm = GMM_Util()
return self.ggmm.trainGmms(obs)
def buildModel(self, obs, test):
''' building hmm model '''
logprob = -sys.maxint - 1
model = None
i = 0
while logprob < c.logprobBound:
### init HMM instance ###
gmms = self._createGMMS(obs)
#gmms = None
m = GestureHMM(c.n_components, n_mix=c.n_mix, gmms=gmms, covariance_type=c.covariance_type, algorithm=c.algorithm, n_iter=c.n_iter, params='', thresh=1e-4)
### fit the model ###
m = m.fit(obs)
l = self._averageScore(m, test)
if 0 > l > logprob:
logprob = l
model = m
i += 1
if i >= c.n_tries:
break
print "states: " + str(c.n_components) + "\tlikeli: " + str(round(logprob, 2))
return model, logprob
def _createGMMS(self, obs):
''' create gmms for hmm '''
self.ggmm = GMM_Util()
return self.ggmm.trainGmms(obs)
def __init__(self):
self.ggmm = GMM_Util()
def _createGMMS(self, obs):
''' create gmms for hmm '''
self.ggmm = GMM_Util()
return self.ggmm.trainGmms(obs)
def __init__(self):
self.ggmm = GMM_Util()
