mlpack_preprocess_binarize(1)

🌸 mlpack_preprocess_binarize(1) 🌸

okay bestie, listen up — this is a page from the User Commands manual, and it's the glow-up your data didn't know it needed. it's called mlpack_preprocess_binarize, and yes, she does exactly what the name says 💅

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✨ NAME ✨

mlpack_preprocess_binarize — binarize data. that's it, that's the whole job, and she ate. 🔥

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🦋 SYNOPSIS 🦋

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

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💖 DESCRIPTION 💖

so basically: this utility takes a dataset and binarizes the variables into either 0 or 1 given a threshold. periodt. 🎀

you get to pick whether the binarization lands on one specific dimension or on the whole entire dataset, your choice, main character energy either way. the dimension you want to binarize gets specified with the --dimension (-d) parameter — but if you just leave it unspecified, every dimension gets binarized. no cap, all of them. the threshold for binarization is set with the --threshold (-t) parameter too, and if you don't say anything, the default threshold is 0.0.

your freshly binarized matrix can be saved with the --output_file (-o) output parameter. save her, she deserves it 🫶

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

literally so easy it's giving cheat code 🌈

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👑 REQUIRED INPUT OPTIONS 👑

you must feed her this one, no skips:

• --input_file (-i) [unknown] — input data matrix. the snack. the whole meal. don't forget it 💀

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⭐ OPTIONAL INPUT OPTIONS ⭐

the little extras, the accessories, the finishing touches:

• --dimension (-d) [int] — dimension to apply the binarization. if you don't set it, the program will binarize every dimension by default. default value 0. 🌸
• --help (-h) [bool] — default help info. when you're lost in the sauce, she's got you 💜
• --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. she's chatty and we love that for her ✨
• --version (-V) [bool] — display the version of mlpack.

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🎀 OPTIONAL OUTPUT OPTIONS 🎀

• --output_file (-o) [unknown] — matrix in which to save the output. your masterpiece, framed and everything 🖼️

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🔥 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. iykyk 📚

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lowkey a reminder bestie: -i (--input_file) is required, no exceptions, don't come crying to me when it yells at you 🙈

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okay that's the whole page, you're so welcome 💖 this was mlpack-4.8.0, dated 22 June 2026, and it's the mlpack_preprocess_binarize(1) manual — go binarize something and slay ✨💅🦋