NAME

       mlpack_hmm_viterbi - hidden markov model (hmm) viterbi state prediction

SYNOPSIS

        mlpack_hmm_viterbi -i unknown -m unknown [-V bool] [-o unknown] [-h -v]

DESCRIPTION

       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

REQUIRED INPUT OPTIONS

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

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

OPTIONAL INPUT OPTIONS

       --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.

OPTIONAL OUTPUT OPTIONS

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

ADDITIONAL INFORMATION

       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.