mlpack_preprocess_binarize - binarize data

       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-4.5.1                                     29 January 2025                   mlpack_preprocess_binarize(1)

       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

mlpack_preprocess_binarize - binarize data

--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.

--output_file (-o) [unknown] Matrix in which to save the output.

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

mlpack_preprocess_binarize-iunknown [-dint] [-tdouble] [-Vbool] [-ounknown] [-h-v]