Travis-Barton/LilRhino: 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 <http://wbbpredictions.com/wp-content/uploads/2018/12/Redditbot_Paper.pdf>. 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.

Getting started

Package details

AuthorTravis Barton (2018)
MaintainerTravis Barton <tbarton@csumb.edu>
LicenseGPL-2
Version1.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Travis-Barton/LilRhino")
Travis-Barton/LilRhino documentation built on Jan. 18, 2020, 8:06 a.m.