Man page - mlpack_gmm_generate(1)

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mlpack_gmm_generate

NAME
SYNOPSIS
DESCRIPTION
REQUIRED INPUT OPTIONS
OPTIONAL INPUT OPTIONS
OPTIONAL OUTPUT OPTIONS
ADDITIONAL INFORMATION

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.