Package: ExhaustiveSearch 1.0.2

Rudolf Jagdhuber

ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework

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.

Authors:Rudolf Jagdhuber [aut, cre], Jorge Nocedal [cph], Naoaki Okazaki [cph]

ExhaustiveSearch_1.0.2.tar.gz
ExhaustiveSearch_1.0.2.zip(r-4.7-x86_64)ExhaustiveSearch_1.0.2.zip(r-4.7-arm64)ExhaustiveSearch_1.0.2.zip(r-4.6-x86_64)ExhaustiveSearch_1.0.2.zip(r-4.6-arm64)
ExhaustiveSearch_1.0.2.tar.gz(r-4.7-arm64)ExhaustiveSearch_1.0.2.tar.gz(r-4.7-x86_64)ExhaustiveSearch_1.0.2.tar.gz(r-4.6-arm64)ExhaustiveSearch_1.0.2.tar.gz(r-4.6-x86_64)
ExhaustiveSearch_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ExhaustiveSearch/json (API)

# Install 'ExhaustiveSearch' in R:
install.packages('ExhaustiveSearch', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rudolfjagdhuber/exhaustivesearch/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

2.00 score 4 scripts 267 downloads 2 mentions 3 exports 2 dependencies

Last updated from:c3fcbf4bf8. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK95
linux-devel-x86_64OK99
source / vignettesOK168
linux-release-arm64OK85
linux-release-x86_64OK95
windows-devel-arm64OK217
windows-devel-x86_64OK143
windows-release-arm64OK227
windows-release-x86_64OK118
wasm-releaseOK101

Exports:ExhaustiveSearchgetFeaturesresultTable

Dependencies:RcppRcppArmadillo