---
name: "mlpack_preprocess_binarize"
section: "1"
platform: "linux"
package: "mlpack-bin"
version: "4.6.0-1"
release: "Debian 13 (Trixie)"
platforms: ["linux"]
url: "https://new.carta.tech/mlpack_preprocess_binarize"
---

# mlpack\_preprocess\_binarize(1)

binarize data

## NAME

**mlpack\_preprocess\_binarize** - binarize data

## SYNOPSIS

```
 mlpack_preprocess_binarize -i unknown [-d int] [-t double] [-V bool] [-o unknown] [-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) \[*unknown*\]**

  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**) \[*unknown*\] 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.