read-from-file.py

来自「General Hidden Markov Model Library 一个通用」· Python 代码 · 共 11 行

#/usr/bin/env python2.3
import ghmm

lambda = HMMOpen("small.smo", model_index = 1) # Pick 1-st model out of the smo file
seqs = SequenceSetOpen('test.sqd')
initial_log = lambda.loglikelihood(seqs)
trained_log = lambda.baum_welch(seqs, 100, 0.001)
print "Baum-Welch training improved the log-likelihood by ", initial_log - trained_log
print lambda