LilRhino: For Implementation of Feed Reduction, Learning Examples, NLP and Code Management (original) (raw)
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 |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | LilRhino results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=LilRhinoto link to this page.