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.
Version: 1.2.2 Imports: FNN, stringi, beepr, ggplot2, keras, dplyr, readr, parallel, tm, e1071, SnowballC, data.table, fastmatch, neuralnet Suggests: textclean Published: 2022-04-27 DOI: 10.32614/CRAN.package.LilRhino Author: Travis Barton (2018) Maintainer: Travis Barton <travisdatabarton at gmail.com> License: GPL-2 NeedsCompilation: no Materials: README CRAN checks: LilRhino results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=LilRhino to link to this page.
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