1mlpack_gmm_probability(1)        User Commands       mlpack_gmm_probability(1)
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NAME

6       mlpack_gmm_probability - gmm probability calculator
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SYNOPSIS

9        mlpack_gmm_probability -i string -m unknown [-V bool] [-o string] [-h -v]
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DESCRIPTION

12       This  program  calculates the probability that given points came from a
13       given GMM (that is,  P(X  |  gmm)).  The  GMM  is  specified  with  the
14       '--input_model_file  (-m)' parameter, and the points are specified with
15       the '--input_file (-i)' parameter.  The  output  probabilities  may  be
16       saved via the '--output_file (-o)' output parameter.
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18       So,  for  example,  to  calculate  the  probabilities  of each point in
19       'points.csv' coming from the pre-trained GMM 'gmm.bin',  while  storing
20       those  probabilities  in  'probs.csv',  the  following command could be
21       used:
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23       $ gmm_probability --input_model_file  gmm.bin  --input_file  points.csv
24       --output_file probs.csv
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REQUIRED INPUT OPTIONS

27       --input_file (-i) [string]
28              Input matrix to calculate probabilities of.
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30       --input_model_file (-m) [unknown]
31              Input GMM to use as model.
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OPTIONAL INPUT OPTIONS

34       --help (-h) [bool]
35              Default help info.
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37       --info [string]
38              Get help on a specific module or option.  Default value ''.
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40       --verbose (-v) [bool]
41              Display  informational  messages and the full list of parameters
42              and timers at the end of execution.
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44       --version (-V) [bool]
45              Display the version of mlpack.
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OPTIONAL OUTPUT OPTIONS

48       --output_file (-o) [string]
49              Matrix to store calculated probabilities in.  Default value ''.
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ADDITIONAL INFORMATION

52       For further information, including relevant papers, citations, and the‐
53       ory,  consult  the  documentation  found  at  http://www.mlpack.org  or
54       included with your distribution of mlpack.
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58mlpack-3.0.4                   21 February 2019      mlpack_gmm_probability(1)
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