Package: nnlib2Rcpp 0.2.8.1
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:
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nnlib2Rcpp.pdf |nnlib2Rcpp.html✨
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 2 months agofrom:f1eff1c9d0. Checks:ERROR: 1 WARNING: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | FAIL | Sep 03 2024 |
| R-4.5-win-x86_64 | WARNING | Sep 03 2024 |
| R-4.5-linux-x86_64 | WARNING | Sep 03 2024 |
| R-4.4-win-x86_64 | WARNING | Sep 03 2024 |
| R-4.4-mac-x86_64 | WARNING | Sep 03 2024 |
| R-4.4-mac-aarch64 | WARNING | Sep 03 2024 |
| R-4.3-win-x86_64 | WARNING | Sep 03 2024 |
| R-4.3-mac-x86_64 | WARNING | Sep 03 2024 |
| R-4.3-mac-aarch64 | WARNING | Sep 03 2024 |
Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.
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 |