LilRhino: For Implementation of Feed Reduction, Learning Examples, NLP andCode 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.
| 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 |
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