Provided by: mlpack-bin_3.0.4-1_amd64 bug

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

       $ 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

       $ 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]
              Get help on a specific module or 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. Default value ''.

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.