NAME

       mlpack_preprocess_describe - descriptive statistics

SYNOPSIS

        mlpack_preprocess_describe -i unknown [-d int] [-P bool] [-p int] [-r bool] [-V bool] [-w int] [-h -v]

DESCRIPTION

       This  utility  takes  a  dataset  and  prints  out the descriptive statistics of the data.
       Descriptive statistics is the discipline of quantitatively describing the main features of
       a  collection of information, or the quantitative description itself. The program does not
       modify the original file, but instead prints  out  the  statistics  to  the  console.  The
       printed result will look like a table.

       Optionally, width and precision of the output can be adjusted by a user using the '--width
       (-w)' and '--precision (-p)' parameters. A user can also select a  specific  dimension  to
       analyze  if  there  are  too  many  dimensions.  The  ’--population (-P)' parameter can be
       specified when the dataset should be considered as a population.  Otherwise,  the  dataset
       will be considered as a sample.

       So,  a  simple  example  where  we  want  to print out statistical facts about the dataset
       'X.csv' using the default settings, we could run

       $ mlpack_preprocess_describe --input_file X.csv --verbose

       If we want to customize the width to 10 and precision to 5 and consider the dataset  as  a
       population, we could run

       $ mlpack_preprocess_describe --input_file X.csv --width 10 --precision 5 --verbose

REQUIRED INPUT OPTIONS

       --input_file (-i) [unknown]
              Matrix containing data,

OPTIONAL INPUT OPTIONS

       --dimension (-d) [int]
              Dimension of the data. Use this to specify a dimension Default value 0.

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

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

       --population (-P) [bool]
              If  specified,  the  program  will calculate statistics assuming the dataset is the
              population. By default, the program will assume the dataset as a sample.

       --precision (-p) [int]
              Precision of the output statistics. Default value 4.

       --row_major (-r) [bool]
              If specified, the  program  will  calculate  statistics  across  rows,  not  across
              columns.   (Remember that in mlpack, a column represents a point, so this option is
              generally not necessary.)

       --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.

       --width (-w) [int]
              Width of the output table. Default value 8.

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.