mlpack_hmm_generate(1) | User Commands | mlpack_hmm_generate(1) |
NAME¶
mlpack_hmm_generate - hidden markov model (hmm) sequence generator
SYNOPSIS¶
mlpack_hmm_generate -l int -m unknown [-s int] [-t int] [-V bool] [-o unknown] [-S unknown] [-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:
$ mlpack_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) [unknown]
- Trained HMM to generate sequences with.
OPTIONAL INPUT OPTIONS¶
- --help (-h) [bool]
- Default help info.
- --info [string]
- Print help on a specific 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) [unknown] Matrix to save observation sequence to.
- --state_file (-S) [unknown]
- Matrix to save hidden 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.
23 September 2024 | mlpack-4.5.0 |