RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)
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README.md

RSNNS

RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)

TODOs for the next version:

  • Remove printf throughout the code (replace with Rprintf)
  • use the "colorspace" package for heatmaps
  • add JSS paper as vignette
  • elman: shufflePatterns should be FALSE by default
  • switch to roxygen2
  • bug: in regression plot, the axis labels are inverted
  • mention JavaNNS in documentation
  • change in demos using iris the shuffling to something like: irisShuffled <- iris[sample(nrow(iris)),]

TODOs for a far away future:

  • Implement Softmax/Entropy for elman?
  • Make it possible to implement learning functions in R