def hmmBaumWelchRestarts(nRuns, stopping, obs, parallel=True):
'''Performs the baum welch nRuns times stopping when the likelihood
changes by less than stopping'''
models = [HMM.randomStudent() for _ in xrange(nRuns)]
return baumWelchRestarts(models, obs, stopping, parallel)
def randomStudent(cls, nKinds):
""" Returns a random student HMMKind """
hmms = [HMM.randomStudent() for _ in xrange(nKinds)]
pKinds = randomDist(nKinds)
return HMMKind(hmms, pKinds)
