mlpack_gmm_generate(1) | User Commands | mlpack_gmm_generate(1) |
NAME¶
mlpack_gmm_generate - gmm sample generator
SYNOPSIS¶
mlpack_gmm_generate -m unknown -n int [-s int] [-V bool] [-o unknown] [-h -v]
DESCRIPTION¶
This program is able to generate samples from a pre-trained GMM (use gmm_train to train a GMM). The pre-trained GMM must be specified with the ’--input_model_file (-m)' parameter. The number of samples to generate is specified by the '--samples (-n)' parameter. Output samples may be saved with the '--output_file (-o)' output parameter.
The following command can be used to generate 100 samples from the pre-trained GMM 'gmm.bin' and store those generated samples in 'samples.csv':
$ mlpack_gmm_generate --input_model_file gmm.bin --samples 100 --output_file samples.csv
REQUIRED INPUT OPTIONS¶
- --input_model_file (-m) [unknown]
- Input GMM model to generate samples from.
- --samples (-n) [int]
- Number of samples to generate.
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.
- --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 output samples in.
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 |