mlpack_hmm_viterbi - hidden markov model (hmm) viterbi state prediction

       For  further  information,  including  relevant  papers, citations, and theory, consult the documentation
       found at http://www.mlpack.org or included with your distribution of mlpack.

mlpack-4.5.1                                     29 January 2025                           mlpack_hmm_viterbi(1)

       This utility takes an already-trained HMM, specified as '--input_model_file (-m)', and evaluates the most
       probable  hidden  state  sequence of a given sequence of observations (specified as ''--input_file (-i)',
       using the Viterbi algorithm. The computed state sequence may be  saved  using  the  '--output_file  (-o)'
       output parameter.

       For example, to predict the state sequence of the observations 'obs.csv' using the HMM 'hmm.bin', storing
       the predicted state sequence to 'states.csv', the following command could be used:

       $ mlpack_hmm_viterbi--input_file obs.csv --input_model_file hmm.bin --output_file states.csv

mlpack_hmm_viterbi - hidden markov model (hmm) viterbi state prediction

--help(-h)[bool]
              Default help info.

       --info[string]
              Print help on a specific option. Default value ''.

       --verbose(-v)[bool]
              Display informational messages and the full list of parameters and timers at the end of execution.

       --version(-V)[bool]
              Display the version of mlpack.

--output_file (-o) [unknown] File to save predicted state sequence to.

--input_file(-i)[unknown]
              Matrix containing observations,

       --input_model_file(-m)[unknown]
              Trained HMM to use.

mlpack_hmm_viterbi-iunknown-munknown [-Vbool] [-ounknown] [-h-v]