mlpack_hmm_viterbi1
Hidden markov model (hmm) viterbi state prediction
Usage
mlpack_hmm_viterbi -i
unknown
-m
unknown
[-V
bool]
[-o
unknown]
[-h
-v]
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
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.
Releases
5 releases since Debian 8 (Jessie); the text changed 4 times.
--help until Debian 9 (Stretch);
--verbose until Debian 9 (Stretch);
--version until Debian 9 (Stretch).