Adds a high-level interface for 'keras' neural nets. kms() fits neural net and accepts R formulas to aid data munging and hyperparameter selection. kms() can optionally accept a compiled keras_sequential_model() from 'keras'. kms() accepts a number of parameters (like loss and optimizer) and splits the data into sparse test and training matrices. kms() returns a single object with predictions, a confusion matrix, and function call details.
| Version: | 0.1.1 |
| Depends: | keras, dplyr, Matrix |
| Suggests: | tensorflow, ggplot2, knitr |
| Published: | 2018-01-24 |
| Author: | Pete Mohanty [aut, cre] |
| Maintainer: | Pete Mohanty <pete.mohanty at gmail.com> |
| BugReports: | https://github.com/rdrr1990/kerasformula/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/rdrr1990/kerasformula |
| NeedsCompilation: | no |
| CRAN checks: | kerasformula results |
| Reference manual: | kerasformula.pdf |
| Vignettes: |
kerasformula |
| Package source: | kerasformula_0.1.1.tar.gz |
| Windows binaries: | r-devel: kerasformula_0.1.1.zip, r-release: kerasformula_0.1.1.zip, r-oldrel: kerasformula_0.1.1.zip |
| OS X binaries: | r-release: kerasformula_0.1.1.tgz, r-oldrel: kerasformula_0.1.1.tgz |
| Old sources: | kerasformula archive |
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