NAME

       mlpack_preprocess_binarize - binarize data

SYNOPSIS

        mlpack_preprocess_binarize -i string [-d int] [-t double] [-V bool] [-o string] [-h -v]

DESCRIPTION

       This  utility  takes  a  dataset and binarizes the variables into either 0 or 1 given threshold. User can
       apply binarization on a dimension or the whole dataset. The dimension to apply  binarization  to  can  be
       specified using the ’--dimension (-d)' parameter; if left unspecified, every dimension will be binarized.
       The  threshold  for binarization can also be specified with the ’--threshold (-t)' parameter; the default
       threshold is 0.0.

       The binarized matrix may be saved with the '--output_file (-o)' output parameter.

       For example, if we want to set all variables greater than 5 in the dataset ’X.csv'  to  1  and  variables
       less than or equal to 5.0 to 0, and save the result to 'Y.csv', we could run

       $ mlpack_preprocess_binarize --input_file X.csv --threshold 5 --output_file Y.csv

       But if we want to apply this to only the first (0th) dimension of 'X.csv', we could instead run

       $ mlpack_preprocess_binarize --input_file X.csv --threshold 5 --dimension 0 --output_file Y.csv

REQUIRED INPUT OPTIONS

       --input_file (-i) [string]
              Input data matrix.

OPTIONAL INPUT OPTIONS

       --dimension (-d) [int]
              Dimension  to  apply  the  binarization.  If not set, the program will binarize every dimension by
              default. Default value 0.

       --help (-h) [bool]
              Default help info.

       --info [string]
              Print help on a specific option. Default value ''.

       --threshold (-t) [double]
              Threshold to be applied for binarization. If not set, the threshold defaults to 0.0. 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 in which to save the output.

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.

mlpack-3.4.2                                      11 April 2022                    mlpack_preprocess_binarize(1)