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ml  

Supervised Learning with Mandatory Splits and Seeds
View on CRAN: Click here


Download and install ml package within the R console
Install from CRAN:
install.packages("ml")

Install from Github:
library("remotes")
install_github("cran/ml")

Install by package version:
library("remotes")
install_version("ml", "0.1.2")



Attach the package and use:
library("ml")
Maintained by
Simon Roth
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-19
Latest Update: 2026-03-19
Description:
Implements the split-fit-evaluate-assess workflow from Hastie, Tibshirani, and Friedman (2009, ISBN:978-0-387-84857-0) "The Elements of Statistical Learning", Chapter 7. Provides three-way data splitting with automatic stratification, mandatory seeds for reproducibility, automatic data type handling, and 10 algorithms out of the box. Uses 'Rust' backend for cross-language deterministic splitting. Designed for tabular supervised learning with minimal ceremony. Polyglot parity with the 'Python' 'mlw' package on 'PyPI'.
How to cite:
Simon Roth (2026). ml: Supervised Learning with Mandatory Splits and Seeds. R package version 0.1.2, https://cran.r-project.org/web/packages/ml. Accessed 05 Aug. 2026.
Previous versions and publish date:
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Complete documentation for ml
Functions, R codes and Examples using the ml R package
Full ml package functions and examples
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