HMM中使用的传统维特比算法有一个起始概率矩阵(维特比算法维基),而tensorflow中的维特比解码参数只需要转移概率矩阵和发射概率矩阵。怎么理解?
def viterbi_decode(score, transition_params):
"""Decode the highest scoring sequence of tags outside of
TensorFlow.
This should only be used at test time.
Args:
score: A [seq_len, num_tags] matrix of unary potentials.
transition_params: A [num_tags, num_tags] matrix of binary potentials.
Returns:
viterbi: A [seq_len] list of integers containing the highest scoring tag
indicies.
viterbi_score: A float containing the score for the Viterbi
sequence.
"""