Provided by: mlpack-bin_3.0.4-1_amd64
mlpack_hmm_loglik - hidden markov model (hmm) sequence log-likelihood
mlpack_hmm_loglik -i string -m unknown [-V bool] [--log_likelihood double] [-h -v]
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: $ hmm_loglik --input_file seq.csv --input_model_file hmm.bin
REQUIRED INPUT OPTIONS
--input_file (-i) [string] File containing observations, --input_model_file (-m) [unknown] File containing HMM.
OPTIONAL INPUT OPTIONS
--help (-h) [bool] Default help info. --info [string] Get help on a specific module or 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
--log_likelihood [double] Log-likelihood of the sequence. Default value 0.
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.