Man page - mlpack_hmm_viterbi(1)

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Manual

mlpack_hmm_viterbi

NAME
SYNOPSIS
DESCRIPTION
REQUIRED INPUT OPTIONS
OPTIONAL INPUT OPTIONS
OPTIONAL OUTPUT OPTIONS
ADDITIONAL INFORMATION

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.