Package: nsga3 0.0.3
nsga3: An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection
An adaptation of Non-dominated Sorting Genetic Algorithm III for multi objective feature selection tasks. Non-dominated Sorting Genetic Algorithm III is a genetic algorithm that solves multiple optimization problems simultaneously by applying a non-dominated sorting technique. It uses a reference points based selection operator to explore solution space and preserve diversity. See the original paper by K. Deb and H. Jain (2014) <doi:10.1109/TEVC.2013.2281534> for a detailed description.
Authors:
nsga3_0.0.3.tar.gz
nsga3_0.0.3.zip(r-4.5)nsga3_0.0.3.zip(r-4.4)nsga3_0.0.3.zip(r-4.3)
nsga3_0.0.3.tgz(r-4.4-any)nsga3_0.0.3.tgz(r-4.3-any)
nsga3_0.0.3.tar.gz(r-4.5-noble)nsga3_0.0.3.tar.gz(r-4.4-noble)
nsga3_0.0.3.tgz(r-4.4-emscripten)nsga3_0.0.3.tgz(r-4.3-emscripten)
nsga3.pdf |nsga3.html✨
nsga3/json (API)
# Install 'nsga3' in R: |
install.packages('nsga3', repos = c('https://shramkoartem.r-universe.dev', 'https://cloud.r-project.org')) |
- german_credit - The UCI "German Credit Data" Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:c2e3364ef4. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win | NOTE | Oct 26 2024 |
R-4.5-linux | NOTE | Oct 26 2024 |
R-4.4-win | NOTE | Oct 26 2024 |
R-4.4-mac | NOTE | Oct 26 2024 |
R-4.3-win | NOTE | Oct 26 2024 |
R-4.3-mac | NOTE | Oct 26 2024 |
Exports:nsga3fs
Dependencies:backportsBBmisccheckmateclicolorspacecpp11data.tabledplyrfansifarverfastmatchgenericsggplot2gluegtableigraphisobandjsonlitelabelinglatticelazyevallifecyclemagrittrMASSMatrixmgcvmlrmunsellnlmeparallelMapParamHelperspillarpkgconfigR6RColorBrewerRcppRcppParallelrlangrPrefscalesstringisurvivaltibbletidyselectutf8vctrsviridisLitewithrxgboostXML
Readme and manuals
Help Manual
Help page | Topics |
---|---|
The UCI "German Credit Data" Dataset | german_credit |
NSGA III for Multi-Objective Feature Selection | nsga3fs |