pmlbr-package

<img src="figures/logo.png?package=pmlbr&version=0.2.3" style="float: right" alt="logo" width="120">
Check available classification and regression data sets from the PMLB repository and download them. The PMLB repository (<a href="https://github.com/EpistasisLab/pmlbr">https://github.com/EpistasisLab/pmlbr</a>) 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.

internal

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.

Trang Le

pmlbr

Interface to the Penn Machine Learning Benchmarks Data
Repository

makeyourownmaker 

Jason Moore

University of Pennsylvania 

pmlbr-package function

Maintainer: Trang Le <a href="/link/grixor%40gmail.com?package=pmlbr&version=0.2.3" data-mini-rdoc="pmlbr::grixor@gmail.com">grixor@gmail.com</a> (https://trang.page/)
Authors:<ul>
<li>makeyourownmaker <a href="/link/makeyourownmaker%40gmx.com?package=pmlbr&version=0.2.3" data-mini-rdoc="pmlbr::makeyourownmaker@gmx.com">makeyourownmaker@gmx.com</a> (https://github.com/makeyourownmaker)</li>
<li>Jason Moore <a href="/link/jhmoore%40upenn.edu?package=pmlbr&version=0.2.3" data-mini-rdoc="pmlbr::jhmoore@upenn.edu">jhmoore@upenn.edu</a> (http://www.epistasisblog.org/)</li>
</ul>Other contributors:<ul>
<li>University of Pennsylvania [copyright holder]</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
Check available classification and regression data sets from the PMLB repository and download them. The PMLB repository (<a href='https://github.com/EpistasisLab/pmlbr'>https://github.com/EpistasisLab/pmlbr</a>) 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.

pmlbr: Interface to the Penn Machine Learning Benchmarks Data Repository — pmlbr-package

Maintainer: Trang Le <a href='mailto:grixor@gmail.com'>grixor@gmail.com</a> (https://trang.page/)
Authors:<ul>
<li>makeyourownmaker <a href='mailto:makeyourownmaker@gmx.com'>makeyourownmaker@gmx.com</a> (https://github.com/makeyourownmaker)</li>
<li>Jason Moore <a href='mailto:jhmoore@upenn.edu'>jhmoore@upenn.edu</a> (http://www.epistasisblog.org/)</li>
</ul>

Other contributors:<ul>
<li>University of Pennsylvania [copyright holder]</li>
</ul>

pmlbr-package: pmlbr: Interface to the Penn Machine Learning Benchmarks Data Repository

Description

Arguments

Author

See Also