NAME

       mlpack_nbc - parametric naive bayes classifier

SYNOPSIS

        mlpack_nbc [-h] [-v] [-I] [-m string] [-l string] [-o string] [-M string] [-T string] [-t string] -V

DESCRIPTION

       This program trains the Naive Bayes classifier on the given labeled training set, or loads
       a model from the given model file, and then may use that trained  model  to  classify  the
       points in a given test set.

       Labels  are expected to be the last row of the training set (--train_file), but labels can
       also be passed in separately as  their  own  file  (--labels_file).  If  training  is  not
       desired, a pre-existing model can be loaded with the --input_model_file (-m) option.

       The  '--incremental_variance'  option  can  be  used  to  force  the  training  to  use an
       incremental algorithm for calculating variance. This is slower, but can help avoid loss of
       precision in some cases.

       If  classifying  a  test set is desired, the test set should be in the file specified with
       the --test_file (-T) option, and the classifications will be saved to the  file  specified
       with   the  --output_file  (-o)  option.  If  saving  a  trained  model  is  desired,  the
       --output_model_file (-M) option should be given.

OPTIONS

       --help (-h)
              Default help info.

       --incremental_variance (-I)
              The variance of each class will be calculated incrementally.

       --info [string]
              Get help on a specific module or option.   Default  value  ''.   --input_model_file
              (-m) [string] File containing input Naive Bayes model.  Default value ''.

       --labels_file (-l) [string]
              A file containing labels for the training set.  Default value ''.

       --output_file (-o) [string]
              The  file  in  which the predicted labels for the test set will be written. Default
              value ''.  --output_model_file (-M) [string] File to save trained Naive Bayes model
              to.  Default value ''.

       --test_file (-T) [string]
              A  file containing the test set. Default value ’'.  --training_file (-t) [string] A
              file containing the training set. Default value ''.

       --verbose (-v)
              Display informational messages and the full list of parameters and  timers  at  the
              end of execution.

       --version (-V)
              Display the version of mlpack.

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.

                                                                                    mlpack_nbc(1)