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Aims to provide simple intuitive functions to create quick prototypes of artificial neural network or deep learning models. In addition novel ensemble models like 'deeptree' and 'deepforest' has been included which combines decision trees and neural network.
| Version: | 1.0.4 |
| Imports: | fastDummies, plyr, rpart, treeClust, data.table, stringr |
| Published: | 2021-07-10 |
| Author: | Rajesh Balakrishnan |
| Maintainer: | Rajesh Balakirshnan <rajeshbalakrishnan24 at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://rajeshb24.github.io/deepdive/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | deepdive results |
| Reference manual: | deepdive.pdf |
| Package source: | deepdive_1.0.4.tar.gz |
| Windows binaries: | r-devel: deepdive_1.0.4.zip, r-release: deepdive_1.0.4.zip, r-oldrel: deepdive_1.0.4.zip |
| macOS binaries: | r-release (arm64): deepdive_1.0.4.tgz, r-oldrel (arm64): deepdive_1.0.4.tgz, r-release (x86_64): deepdive_1.0.4.tgz, r-oldrel (x86_64): deepdive_1.0.4.tgz |
| Old sources: | deepdive archive |
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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.
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