mlpack_gmm_generate

NAME

mlpack_gmm_generate - gmm sample generator

SYNOPSIS

mlpack_gmm_generate [-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’:

$ gmm_generate --input_model_file gmm.bin --samples 100 --output_file samples.csv

REQUIRED INPUT OPTIONS

--input_model_file (-m) [string] 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]

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.

--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 output samples in. 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.