mlpack_gmm_generate - gmm sample generator

       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.

mlpack-4.5.1                                     29 January 2025                          mlpack_gmm_generate(1)

       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

mlpack_gmm_generate - gmm sample generator

--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.

--output_file (-o) [unknown] Matrix to save output samples in.

--input_model_file(-m)[unknown]
              Input GMM model to generate samples from.

       --samples(-n)[int]
              Number of samples to generate.

mlpack_gmm_generate-munknown-nint [-sint] [-Vbool] [-ounknown] [-h-v]