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HMM-python

用python实现了隐马尔科夫模型的概率计算和预测部分，主要是前向后向算法和维特比算法

输入包括状态转移矩阵A和观测矩阵B,初始状态概率向量pi以及观测序列

实现用前向算法和后向算法分别打印前向概率矩阵和后向概率矩阵，打印观测序列的概率

实现用维特比算法打印在观测序列下，概率最大的状态序列，并打印概率和状态序列

输入变量在类的init函数中指定，第一次写，注释比较多，代码也不是很规范，但是简单易懂，说明的功能都有实现

参考资料及测试数据来源于李航老师的统计学习方法一书

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