Package: kernelFactory 0.3.0
kernelFactory: Kernel Factory: An Ensemble of Kernel Machines
Binary classification based on an ensemble of kernel machines ("Ballings, M. and Van den Poel, D. (2013), Kernel Factory: An Ensemble of Kernel Machines. Expert Systems With Applications, 40(8), 2904-2913"). Kernel factory is an ensemble method where each base classifier (random forest) is fit on the kernel matrix of a subset of the training data.
Authors:
kernelFactory_0.3.0.tar.gz
kernelFactory_0.3.0.zip(r-4.5)kernelFactory_0.3.0.zip(r-4.4)kernelFactory_0.3.0.zip(r-4.3)
kernelFactory_0.3.0.tgz(r-4.5-any)kernelFactory_0.3.0.tgz(r-4.4-any)kernelFactory_0.3.0.tgz(r-4.3-any)
kernelFactory_0.3.0.tar.gz(r-4.5-noble)kernelFactory_0.3.0.tar.gz(r-4.4-noble)
kernelFactory_0.3.0.tgz(r-4.4-emscripten)kernelFactory_0.3.0.tgz(r-4.3-emscripten)
kernelFactory.pdf |kernelFactory.html✨
kernelFactory/json (API)
NEWS
| # Install 'kernelFactory' in R: |
| install.packages('kernelFactory', repos = c('https://ballings.r-universe.dev', 'https://cloud.r-project.org')) |
- Credit - Credit approval
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:eae17d030d. Checks:3 OK, 5 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 21 2025 |
| R-4.5-win | NOTE | Feb 21 2025 |
| R-4.5-mac | NOTE | Feb 21 2025 |
| R-4.5-linux | NOTE | Feb 21 2025 |
| R-4.4-win | NOTE | Feb 21 2025 |
| R-4.4-mac | NOTE | Feb 21 2025 |
| R-4.3-win | OK | Feb 21 2025 |
| R-4.3-mac | OK | Feb 21 2025 |
Exports:kernelFactorykFNews
Dependencies:AUCgenalgkernlabrandomForest
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Credit approval (Frank and Asuncion, 2010) | Credit |
| Binary classification with Kernel Factory | kernelFactory |
| Display the NEWS file | kFNews |
| Predict method for kernelFactory objects | predict.kernelFactory |
