pmlbr
0.3.0Interface to the Penn Machine Learning Benchmarks Data Repository
Overview
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.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 88%
- Documented parameters
- 100%
- Return-value docs
- 86%
- References docs
- 0%
Downloads
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Repository practices
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/epistasislab/pmlbr on 2026-07-26.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.3.0Latest
- 0.2.32025-02-20 · diff ↗
- unarchivedReturned to CRAN2025-02-20
- archivedRemoved from CRAN2024-11-18policy violation On Internet access
- 0.2.22024-11-04 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.2.12023-09-29 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.2.02020-10-02
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-10-02
- Total releases
- 5 / 6 yrs
- License
- GPL-2 | file LICENSE OSI
- Minimum R
- ≥ 3.2.0
- Download size
- 187 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet