For Implementation of Feed Reduction, Learning Examples, NLP and Code Management

This is for code management functions, NLP tools, a Monty Hall simulator, and for implementing my own variable reduction technique called Feed Reduction. The Feed Reduction technique is not yet published, but is merely a tool for implementing a series of binary neural networks meant for reducing data into N dimensions, where N is the number of possible values of the response variable.


LilRhino

Clone this repository and and point your working directory to this folder to load. The actual package is the tar.gz file.

This package was submitted successfully to CRAN, so its best to download it from there if you can.

Reference manual

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install.packages("LilRhino")

1.2.2 by Travis Barton, 4 years ago


Browse source code at https://github.com/cran/LilRhino


Authors: Travis Barton (2018)


Documentation:   PDF Manual  


GPL-2 license


Imports FNN, stringi, beepr, ggplot2, keras, dplyr, readr, parallel, tm, e1071, SnowballC, data.table, fastmatch, neuralnet

Suggests textclean


See at CRAN