Hello TreB1eN,
I have a question about the code that predict the hidden state in viterbi_inference
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state = states_seq[step] |
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state_prob = pathStates[step][state] |
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states_seq[step -1] = state_prob |
I think to predict state, we have to choose the state with the highest probability like code that predict last state
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states_seq[self.N - 1] = torch.argmax(pathScores[self.N-1, :], 0) |
Can you explain it to me?
Thanks!
Hello TreB1eN,
I have a question about the code that predict the hidden state in viterbi_inference
HiddenMarkovModel_Pytorch/HiddenMarkovModel.py
Lines 66 to 68 in 50aed18
I think to predict state, we have to choose the state with the highest probability like code that predict last state
HiddenMarkovModel_Pytorch/HiddenMarkovModel.py
Line 63 in 50aed18
Can you explain it to me?
Thanks!