Package: elmNNRcpp 1.0.4
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elmNNRcpp: The Extreme Learning Machine Algorithm
Training and predict functions for Single Hidden-layer Feedforward Neural Networks (SLFN) using the Extreme Learning Machine (ELM) algorithm. The ELM algorithm differs from the traditional gradient-based algorithms for very short training times (it doesn't need any iterative tuning, this makes learning time very fast) and there is no need to set any other parameters like learning rate, momentum, epochs, etc. This is a reimplementation of the 'elmNN' package using 'RcppArmadillo' after the 'elmNN' package was archived. For more information, see "Extreme learning machine: Theory and applications" by Guang-Bin Huang, Qin-Yu Zhu, Chee-Kheong Siew (2006), Elsevier B.V, <doi:10.1016/j.neucom.2005.12.126>.
Authors:
elmNNRcpp_1.0.4.tar.gz
elmNNRcpp_1.0.4.tar.gz(r-4.5-noble)elmNNRcpp_1.0.4.tar.gz(r-4.4-noble)
elmNNRcpp_1.0.4.tgz(r-4.4-emscripten)elmNNRcpp_1.0.4.tgz(r-4.3-emscripten)
elmNNRcpp.pdf |elmNNRcpp.html✨
elmNNRcpp/json (API)
NEWS
| # Install 'elmNNRcpp' in R: |
| install.packages('elmNNRcpp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlampros/elmnnrcpp/issues
Last updated 3 years agofrom:54cc6e6f8e. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 13 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 13 2024 |
Exports:elmelm_predictelm_trainonehot_encode
Dependencies:KernelKnnRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit an extreme learning model | elm |
| Extreme Learning Machine predict function | elm_predict |
| Extreme Learning Machine training function | elm_train |
| One-hot-encoding of the labels in case of classification | onehot_encode |
| Predict with elm | predict.elm |
