Package: nnlib2Rcpp 0.2.9

Vasilis Nikolaidis
nnlib2Rcpp: A Tool for Creating Custom Neural Networks in C++ and using Them in R
Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.
Authors:
nnlib2Rcpp_0.2.9.tar.gz
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nnlib2Rcpp_0.2.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nnlib2Rcpp/json (API)
| # Install 'nnlib2Rcpp' in R: |
| install.packages('nnlib2Rcpp', repos = c('https://vnnikolaidis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vnnikolaidis/nnlib2rcpp/issues
Last updated from:42eaf76e9a. Checks:11 WARNING, 1 ERROR, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 151 | ||
| linux-devel-x86_64 | WARNING | 160 | ||
| source / vignettes | ERROR | 255 | ||
| linux-release-arm64 | WARNING | 164 | ||
| linux-release-x86_64 | WARNING | 156 | ||
| macos-release-arm64 | WARNING | 152 | ||
| macos-release-x86_64 | WARNING | 264 | ||
| macos-oldrel-arm64 | WARNING | 195 | ||
| macos-oldrel-x86_64 | WARNING | 360 | ||
| windows-devel | WARNING | 250 | ||
| windows-release | WARNING | 199 | ||
| windows-oldrel | WARNING | 165 | ||
| wasm-release | OK | 140 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A collection of Neural Networks and tools to create custom models | nnlib2Rcpp-package nnlib2Rcpp |
| Autoencoder NN | Autoencoder |
| Class '"BP"' | BP BP-class Rcpp_BP Rcpp_BP-class |
| LVQs Helper Function: Classify Data Using Supervised LVQ Code-Book Vectors | LVQs_recall |
| LVQs Helper Function: Train a Supervised LVQ | LVQs_train |
| Class '"LVQs"' | LVQs LVQs-class Rcpp_LVQs-class |
| Unsupervised LVQ | LVQu SOM |
| Class '"MAM"' | MAM MAM-class Rcpp_MAM Rcpp_MAM-class |
| Names of available NN components | NN_component_names |
| Custom NN components defined using R | NN_R_components |
| Class '"NN"' | C++Object-class NN NN-class nn-class RcppClass-class Rcpp_NN Rcpp_NN-class |