Composable Preprocessing Operators and Pipelines for Machine Learning
Overview
Toolset that enriches 'mlr' with a diverse set of preprocessing operators. Composable Preprocessing Operators ("CPO"s) are first-class R objects that can be applied to data.frames and 'mlr' "Task"s to modify data, can be attached to 'mlr' "Learner"s to add preprocessing to machine learning algorithms, and can be composed to form preprocessing pipelines.
- Remove
randomForestSRC_var.selectfilter, since it was removed from upstream.
From NEWS in the release
Install
Health
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage: ‘CPOConstructor.Rd’ \arguments should not be documented without \usage.
- NOTE11 OK, 2 NOTE2026-08-06
- ERROR10 OK, 2 NOTE, 1 ERROR2026-08-04
- NOTE12 OK, 1 NOTE2026-07-11
- OK12 OK, 1 FAILURE2026-06-08
- ERROR12 OK, 1 ERROR2026-06-06
Show 1 earlier changeHide 1 earlier change
- OK14 OK2026-03-10
Documentation
- Help pages
- 110 (2 internal)includes a package overview page
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 6%
- Documented parameters
- 99%
- Return-value docs
- 93%
- Help pages citing references
- 1%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 20
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
Forks over time
Issues over time
PRs over time
9 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/mlr-org/mlrcpo on 2026-10-21.
Funding links: GitHub Sponsors
The repository owner accepts GitHub Sponsors
GitHub Pages site last deployed 2020-04-27
Show all practicesHide 1 practice
Dependencies
Installing mlrCPO adds 27 packages (16 with compiled code, 35 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.3.8Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.3.7-72024-02-20 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.3.7-62022-11-17 · diff ↗
- 0.3.7-52022-10-19 · diff ↗
- 0.3.7-42022-07-20 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.3.7-32021-11-10 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.3.7-22021-02-24 · diff ↗
- 0.3.7-12021-01-11 · diff ↗
- 0.3.7
- RR 4.0.0 released · 2020-04-24
Show 13 earlier eventsHide 13 earlier events
- 0.3.62020-04-06 · diff ↗
- 0.3.4-42019-08-08 · diff ↗
- 0.3.4-32019-05-11 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.3.4-22019-01-10 · diff ↗
- 0.3.4-12018-10-02 · diff ↗
- 0.3.42018-07-03 · diff ↗
- RR 3.5.0 released · 2018-04-23
- unarchivedReturned to CRAN2018-04-21
- 0.3.32018-04-21 · diff ↗
- archivedRemoved from CRAN2018-04-20check errors were not corrected despite reminder Uses Suggests packages unconditionally
- 0.3.22018-04-05
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-04-05
- Total releases
- 17 / 8 yrs
- License
- BSD_2_clause + file LICENSE OSI
- Minimum R
- ≥ 3.0.2
- Download size
- 538 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mlrCPO")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.