mlpack_hmm_loglik - hidden markov model (hmm) sequence log-likelihood

       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_loglik(1)

       This  utility  takes  an already-trained HMM, specified with the ’--input_model_file (-m)' parameter, and
       evaluates the log-likelihood of a sequence of observations, given with the '--input_file (-i)' parameter.
       The computed log-likelihood is given as output.

       For example, to compute the log-likelihood of the sequence 'seq.csv' with the pre-trained HMM  'hmm.bin',
       the following command may be used:

       $ mlpack_hmm_loglik--input_file seq.csv --input_model_file hmm.bin

mlpack_hmm_loglik - hidden markov model (hmm) sequence log-likelihood

--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.

--log_likelihood[double]
              Log-likelihood of the sequence. Default value 0.

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

       --input_model_file(-m)[unknown]
              File containing HMM.

mlpack_hmm_loglik-iunknown-munknown [-Vbool] [--log_likelihooddouble] [-h-v]