NAME¶

SYNOPSIS¶

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

DESCRIPTION¶

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¶