For anyone interested, nnlib2Rcpp is an R package containing a number of Neural Network implementations and is available on GitHub. It can be installed as follows (the usual way for packages on GitHub):
library(devtools)
install_github("VNNikolaidis/nnlib2Rcpp")
The NNs are implemented in C++ (using nnlib2 C++ class library) and are interfaced with R via Rcpp package (which is also required).The package currently includes the following NN implementations:
- A Back-Propagation (BP) multi-layer NN (supervised) for input-output mappings.
- An Autoencoder NN (unsupervised) for dimensionality reduction (a bit like PCA) or dimensionality expansion.
- A Learning Vector Quantization NN (LVQ, supervised) for classification.
- A Self-Organizing Map NN (unsupervised, simplified 1-D variation of SOM) for clustering (a bit like k-means).
- A simple Matrix-Associative-Memory NN (MAM, supervised) for storing input-output vector pairs.
Hi, where it is possible to find the nnlib2Rcpp “package documentation”.
Thanks in advance.
If you are using RStudio you can go to Packages and click on nnlib2Rcpp (you must install it first).
I also just added the pdf version under /inst directory. You can find it here:
https://github.com/VNNikolaidis/nnlib2Rcpp/blob/master/inst/
Got it !!!
Thanks, have a nice day.
Please also note that a pdf version of the documentation can be created by running the following R command:
devtools::build_manual()