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DESCRIPTION
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DESCRIPTION
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Package: tpotr
Type: Package
Title: An R-Wrapper for the Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming (TPOT)
Version: 0.1.0
Authors@R: as.person(c(
"Thorben Hellweg <thorben.hellweg@uni-muenster.de> [aut, cre]",
"Christopher Olbrich <c_olbr@rstudio.com> [aut]",
"Christian Werner <c_wern@rstudio.com> [aut ]"
))
Maintainer: Thorben Hellweg <thorben.hellweg@uni-muenster.de>
Description: TPOT is open source genetic programming-based AutoML system that optimizes a series offeature preprocessors and machine learning models with the goal of maximizing classification accuracy on a supervised classification task. This package provides an R interface to the python based TPOT reference implementation.
License: GPL-3 | file LICENSE.md
URL: https://github.com/thllwg/tpotr
BugReports: https://github.com/thllwg/tpotr/issues
Encoding: UTF-8
Depends:
R (>= 3.1.0),
mlr
LazyData: true
Imports:
reticulate,
caTools,
checkmate,
R.utils,
BBmisc,
yaml,
stats,
stringr,
microbenchmark
Suggests:
testthat,
knitr,
rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
SystemRequirements: Anaconda (https://www.anaconda.com/distribution/)