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.

Getting started

Package details

AuthorTrang Le [aut, cre] (https://trang.page/), makeyourownmaker [aut] (https://github.com/makeyourownmaker), Jason Moore [aut] (http://www.epistasisblog.org/), University of Pennsylvania [cph]
MaintainerTrang Le <grixor@gmail.com>
LicenseGPL-2 | file LICENSE
Version0.2.0
URL https://github.com/EpistasisLab/pmlbr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pmlbr")

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pmlbr documentation built on Oct. 23, 2020, 8:08 p.m.