pmlbr: Interface to the Penn Machine Learning Benchmarks Data Repository

Check available classification and regression data sets from the PMLB repository and download them. The PMLB repository (<https://github.com/EpistasisLab/pmlbr>) contains a curated collection of data sets for evaluating and comparing machine learning algorithms. These data sets cover a range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features. There are currently over 150 datasets included in the PMLB repository.

Version: 0.2.0
Depends: R (≥ 3.2.0)
Imports: utils, FNN, stats
Published: 2020-10-02
Author: Trang Le [aut, cre] (https://trang.page/), makeyourownmaker [aut] (https://github.com/makeyourownmaker), Jason Moore [aut] (http://www.epistasisblog.org/), University of Pennsylvania [cph]
Maintainer: Trang Le <grixor at gmail.com>
BugReports: https://github.com/EpistasisLab/pmlbr/issues
License: GPL-2 | file LICENSE
URL: https://github.com/EpistasisLab/pmlbr
NeedsCompilation: no
Materials: README
CRAN checks: pmlbr results

Downloads:

Reference manual: pmlbr.pdf
Package source: pmlbr_0.2.0.tar.gz
Windows binaries: r-devel: pmlbr_0.2.0.zip, r-release: pmlbr_0.2.0.zip, r-oldrel: pmlbr_0.2.0.zip
macOS binaries: r-release (arm64): pmlbr_0.2.0.tgz, r-release (x86_64): pmlbr_0.2.0.tgz, r-oldrel: pmlbr_0.2.0.tgz

Linking:

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