This project forked from dkyang/umdhmm-python
python版本的UMDHMM，包括了forward-backward、viterbi、baum-welch算法。
#简介#
这是我第一个比较完整的python程序，把UMDHMM的大部分功能用python重写了，没有经过完整的测试。
数据输入格式与UMDHMM基本相同，都是在后缀为.hmm的文件中包含初始向量pi、转移矩阵A、混淆矩阵
B，在后缀为.seq的文件中包含观察序列及其个数T。稍微不同的是，每个数据的后面比UMDHMM的输入数据
多一个逗号，你可以直接运行test_hmm.py观察结果。
UMDHMM是一款轻量级的HMM（Hidden Markov Model）C语言实现，更详细的说明可以参考 《HMM学习最佳范例五：前向算法4》 。
本程序需要numpy库的支持。
##待做##
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