The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
It predicts any attribute (categorical) given a set of input numeric predictor values. Note that only numeric input predictors should be given. The k value can be chosen according to accuracies provided. The attribute to be predicted can be selected from the dropdown provided (select categorical attribute). This is because categorical attributes cannot be given as inputs here. A 'handsontable' is also provided to enter the input predictor values.
| Version: | 0.1.0 |
| Imports: | shiny, rhandsontable, dplyr, caret, FNN |
| Published: | 2019-07-19 |
| DOI: | 10.32614/CRAN.package.KCSKNNShiny |
| Author: | Karne Chaithanya Sai |
| Maintainer: | Karne Chaithanya Sai <karnechaithanyasai at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | KCSKNNShiny results |
| Reference manual: | KCSKNNShiny.pdf |
| Package source: | KCSKNNShiny_0.1.0.tar.gz |
| Windows binaries: | r-devel: KCSKNNShiny_0.1.0.zip, r-release: KCSKNNShiny_0.1.0.zip, r-oldrel: KCSKNNShiny_0.1.0.zip |
| macOS binaries: | r-release (arm64): KCSKNNShiny_0.1.0.tgz, r-oldrel (arm64): KCSKNNShiny_0.1.0.tgz, r-release (x86_64): KCSKNNShiny_0.1.0.tgz, r-oldrel (x86_64): KCSKNNShiny_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=KCSKNNShiny to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.