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ExhaustiveSearch  

A Fast and Scalable Exhaustive Feature Selection Framework
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ExhaustiveSearch", "1.0.2")



Attach the package and use:
library("ExhaustiveSearch")
Maintained by
Rudolf Jagdhuber
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-15
Latest Update: 2021-01-18
Description:
The goal of this package is to provide an easy to use, fast and scalable exhaustive search framework. Exhaustive feature selections typically require a very large number of models to be fitted and evaluated. Execution speed and memory management are crucial factors here. This package provides solutions for both. Execution speed is optimized by using a multi-threaded C++ backend, and memory issues are solved by by only storing the best results during execution and thus keeping memory usage constant.
How to cite:
Rudolf Jagdhuber (2021). ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework. R package version 1.0.2, https://cran.r-project.org/web/packages/ExhaustiveSearch. Accessed 29 Oct. 2026.
Previous versions and publish date:
1.0.0 (2021-01-15 11:20), 1.0.1 (2021-01-18 18:00), (2026-07-09 08:03)
Other packages that cited ExhaustiveSearch R package
View ExhaustiveSearch citation profile
Other R packages that ExhaustiveSearch depends, imports, suggests or enhances
Complete documentation for ExhaustiveSearch
Functions, R codes and Examples using the ExhaustiveSearch R package
Some associated functions: ExhaustiveSearch . getFeatures . print.ExhaustiveSearch . resultTable . 
Some associated R codes: ExhaustiveSearch-package.R . ExhaustiveSearch.R . RcppExports.R . print.R . resultFunctions.R .  Full ExhaustiveSearch package functions and examples
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