Package: pmlbr
Title: Interface to the Penn Machine Learning Benchmarks Data
        Repository
Description: 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
Authors@R: c(
    person("Trang", "Le", email = "grixor@gmail.com", role = c("aut", "cre"), comment = "https://trang.page/"),
    person("makeyourownmaker", email = "makeyourownmaker@gmx.com", role = "aut", comment = "https://github.com/makeyourownmaker"),
    person("Jason", "Moore", email = "jhmoore@upenn.edu", role = "aut", comment = "http://www.epistasisblog.org/"),
    person("University of Pennsylvania", role = "cph"))
BugReports: https://github.com/EpistasisLab/pmlbr/issues
Depends: R (>= 3.2.0)
Imports: utils, FNN, stats
License: GPL-2 | file LICENSE
URL: https://github.com/EpistasisLab/pmlbr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-29 21:59:17 UTC; trangle
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@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-02 08:20:05 UTC
Built: R 4.1.0; ; 2021-05-26 08:14:12 UTC; unix
