mlpack_hmm_viterbi1

Usage

Overview

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

Options

--input_file (-i) [unknown]

Matrix containing observations,

--input_model_file (-m) [unknown]

Trained HMM to use.

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.

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.