Home Forums Finding the current state from HMM

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    In the SuanShu example, MarkovModel.java, I found the following code is to train the parameters A and B

    for (int i = 1; i <= nIterations; ++i) {
          model_0 = new HmmTrainByEM().train(model_0, observations);

    How can I find the best estimated states from the trained model, such like by Viterbi algorithm, in algoquant? That means if there are 100 observations to train the matrices A and B, is there a method in model_0 to provide the best fit states for those 100 observations? Thanks a lot.

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