Frequently one needs a convenient way to build and tune several models in one go.The goal is to provide a number of convenience functions useful in machine learning applications. It provides the ability to build, tune and obtain predictions of several models in one function. The models are built using 'caret' functions with easier to read syntax. Kuhn(2014) <arXiv:1405.6974v14>. Kuhn(2008) <doi10.18637/jss.v028.i05>. Chambers,J.M.(1992) <doi:10.1371/journal.pone.0053143>. Wilkinson,G.N. and Rogers, C. E. (1973) <doi:10.2307/2346786>.
Version: | 0.2.2 |
Imports: | dplyr (≥ 0.7.8), caret (≥ 6.0-81), reshape2 (≥ 1.4.3), plyr (≥ 1.8.4), magrittr (≥ 1.5), Metrics (≥ 0.1.4), tibble (≥ 2.0.1), e1071 (≥ 1.7-0.1), purrr (≥ 0.3.2) |
Suggests: | knitr, rmarkdown |
Published: | 2019-07-08 |
Author: | Nelson Gonzabato [aut, cre] |
Maintainer: | Nelson Gonzabato <gonzabato at hotmail.com> |
BugReports: | https://github.com/Nelson-Gon/manymodelr/issues |
License: | GPL-2 |
URL: | https://github.com/Nelson-Gon/manymodelr |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | manymodelr results |
Reference manual: | manymodelr.pdf |
Vignettes: |
"A Gentle Introduction to manymodelr" |
Package source: | manymodelr_0.2.2.tar.gz |
Windows binaries: | r-devel: manymodelr_0.2.2.zip, r-devel-gcc8: manymodelr_0.2.2.zip, r-release: manymodelr_0.2.2.zip, r-oldrel: manymodelr_0.2.2.zip |
OS X binaries: | r-release: manymodelr_0.2.2.tgz, r-oldrel: manymodelr_0.2.2.tgz |
Old sources: | manymodelr archive |
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