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fastml  

Guarded Resampling Workflows for Safe and Automated Machine Learning in R
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fastml", "0.7.6")



Attach the package and use:
library("fastml")
Maintained by
Selcuk Korkmaz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-12
Latest Update: 2025-07-24
Description:
Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
How to cite:
Selcuk Korkmaz (2024). fastml: Guarded Resampling Workflows for Safe and Automated Machine Learning in R. R package version 0.7.6, https://cran.r-project.org/web/packages/fastml. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:38), 0.1.0 (2024-11-12 15:30), 0.2.0 (2024-12-01 00:10), 0.3.0 (2024-12-16 23:40), 0.4.0 (2025-01-08 09:10), 0.5.0 (2025-03-07 12:50), 0.6.0 (2025-06-10 22:50), 0.6.1 (2025-06-11 00:50), 0.6.2 (2025-07-24 16:30), 0.7.0 (2025-10-29 20:40), 0.7.5 (2025-12-22 13:40), 0.7.6 (2026-01-10 23:50), 0.7.7 (2026-01-27 23:50)
Other packages that cited fastml R package
View fastml citation profile
Other R packages that fastml depends, imports, suggests or enhances
Complete documentation for fastml
Functions, R codes and Examples using the fastml R package
Full fastml package functions and examples
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