mlpack_hmm_generate

NAME

mlpack_hmm_generate - hidden markov model (hmm) sequence generator

SYNOPSIS

mlpack_hmm_generate [-h] [-v]

DESCRIPTION

This utility takes an already-trained HMM, specified as the ’--model_file (-m)’ parameter, and generates a random observation sequence and hidden state sequence based on its parameters. The observation sequence may be saved with the ’--output_file (-o)’ output parameter, and the internal state sequence may be saved with the ’--state_file (-S)’ output parameter.

The state to start the sequence in may be specified with the ’--start_state (-t)’ parameter.

For example, to generate a sequence of length 150 from the HMM ’hmm.bin’ and save the observation sequence to ’observations.csv’ and the hidden state sequence to ’states.csv’, the following command may be used:

$ hmm_generate --model_file hmm.bin --length 150 --output_file observations.csv --state_file states.csv

REQUIRED INPUT OPTIONS

--length (-l) [int]

Length of sequence to generate.

--model_file (-m) [string]

Trained HMM to generate sequences with.

OPTIONAL INPUT OPTIONS

--help (-h) [bool]

Default help info.

--info [string]

Get help on a specific module or option. Default value ’’.

--seed (-s) [int]

Random seed. If 0, ’std::time(NULL)’ is used. Default value 0.

--start_state (-t) [int]

Starting state of sequence. Default value 0.

--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) [string]

Matrix to save observation sequence to. Default value ’’.

--state_file (-S) [string]

Matrix to save hidden state sequence to. Default value ’’.

ADDITIONAL INFORMATION

ADDITIONAL INFORMATION

For further information, including relevant papers, citations, and theory, For further information, including relevant papers, citations, and theory, consult the documentation found at http://www.mlpack.org or included with your consult the documentation found at http://www.mlpack.org or included with your DISTRIBUTION OF MLPACK. DISTRIBUTION OF MLPACK.