R Observatory: Metrics for mlr3pipelines version 0.12.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mlr3pipelines

0.12.0

Preprocessing Operators and Pipelines for 'mlr3'

10packages dependsuggested by 15

224.2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Martin BinderCRAN page ↗GitHub ↗Website ↗Issues ↗

Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.

Changes in 0.12.0

Fix: Removed an R-devel deprecation warning from PipeOpFilter and kept the preproc() examples compatible with the declared minimum R version.
Fix: GraphLearner had the guards of its internal validation and internal tuning extractors swapped, so a Graph supporting only one of the two properties reported nothing for the property it did support.
feat: GraphLearner and PipeOpLearner gained a $best_valid_scores field, and GraphLearner collects it from the wrapped PipeOps via $.extract_best_valid_scores(), so msr("best_valid_score") can be used with a GraphLearner.
Added a temporary compatibility alias that registers the former pima task as diabetes for released mlr3 versions older than 1.8.0. Retrieving the alias warns users to update to mlr3 1.8.0 or newer. This alias will be removed in a later update of mlr3pipelines.
Fix: Re-running registration (e.g. when mlr3 is reloaded) no longer removes PipeOp properties added to mlr_reflections$pipeops$properties by extension packages.
Switched from using digest::digest() to using mlr3misc::calculate_hash() for calculating the hash and phash of PipeOps, Graphs, and GraphLearners.
Fix: Corrected registration of FilterEnsemble in mlr_filters using .prototype_args.
Fix: PipeOpTargetMutate and PipeOpTargetTrafoScaleRange now correctly transform internal validation tasks during training.
feat: PipeOpSmote, PipeOpSmoteNC, PipeOpADAS, and PipeOpBLSmote can now handle columns with role "name" by assigning the name synthetic.<pipeop id> to generated rows.
New PipeOpMaterialize that materializes the active Task view, reducing size and simplifying structure of the Task's DataBackend.
Fix: mlr_pipeops$add() now saves the namespace environment from which it was called to allow delayed evaluation in as.data.table(mlr_pipeops).

Show all changes in 0.12.0Hide the rest of the changes in 0.12.0

PipeOpNMF now correctly rejects features containing missing or infinite values with an informative error message. Features containing negative values are still dropped implictly, but now this produces a warning to use selector_non_negative() for explicit column selection. This will become an error in the future.
New selectors selector_positive(), selector_negative(), selector_non_negative(), selector_non_positive(), selector_non_zero(), and selector_non_missing(). The numeric selectors support na_ignore to control whether missing values are ignored when checking if all values satisfy the selector's condition.
mlr_graphs no longer overrides the inherited $add() method.
Simplified error messages from internal function check_types().
Removed deprecated greplicate() function. Use ppl("greplicate") instead.
Fix: PipeOpIsomap now explicitly requires igraph, RSpectra, and RANN; skip checks in tests were also updated.
Fix: as_learner.Graph now handles ... as an argument.
feat: as_learner.Graph now suppots the discard_state argument, same as as_learner.Learner.
feat: PipeOpTargetInvert now propagates the extra slot of input prediction objects to the output prediction object, if the inverter fun does not handle it already.
feat: PipeOpDateFeatures gains new features is_month_start, is_month_end, is_quarter_start, is_quarter_end, is_year_start, is_year_end, and is_leap_year.
Fix: PipeOpDateFeatures no longer creates all-NA cyclic time-of-day features for Date features.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("mlr3pipelines", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mlr-org/mlr3pipelines")

Development version from mlr-org/mlr3pipelines. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-mlr3pipelines

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-mlr3pipelines

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-mlr3pipelines

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 13.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-18
ERROR12 OK, 1 ERROR2026-09-15
OK13 OK2026-09-13
ERROR8 OK, 2 NOTE, 3 ERROR2026-07-25
NOTE11 OK, 2 NOTE2026-07-16

Show 10 earlier changesHide 10 earlier changes

OK13 OK2026-06-29
ERROR12 OK, 1 ERROR2026-06-25
OK13 OK2026-06-11
ERROR12 OK, 1 ERROR2026-06-09
OK13 OK2026-06-04
ERROR12 OK, 1 ERROR2026-06-01
OK13 OK2026-04-30
ERROR12 OK, 1 ERROR2026-04-28
OK12 OK2026-04-25
ERROR11 OK, 3 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.12.0

READMEYes · 490 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.12.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 132 (6 internal)includes a package overview page
Examples that run: 96%104 run in a plain check (41 of them under a condition) · 3 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 83%
Documented parameters: 100%
Return-value docs: 26%
Help pages citing references: 10%

Vignettes (1)

Adding new PipeOps

How these are measured

Downloads

224.2K

CRAN downloads in the past year

Rank #1,008 · ~614/day · ~18.7K/mo

Releases R versions

Daily download trend is not available in this view yet.

8.4K30 days

38.9K90 days

224.2K1 year

Compare downloads with other packages →

Also on29.9K r2u7 autocran5.9K conda_forge135 c2d4u

How downloads are counted

Repository

mlr-org/mlr3pipelines ↗Organization: mlr-org

149Stars

26Forks

93Open issues

15Open PRs

12Releases

4,299Commits

30Commit identities

mlr3machine-learningpipelinespreprocessingbaggingstackingensemble-learningr

License file reads as LGPL-3.0 · 4,299 commits · Last activity 2026-10-13 · 0% stars, 30d · Default branch at 0.12.0-9000, ahead of CRAN 0.12.0 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 89%
Median days to close, 50 most recently updated closed issues: 278
Median days to close, 50 most recently updated closed PRs: 14

Stars over time

2025-10-05 · 1452026-08-05 · 149

How these are measured

PracticesBeta

15 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/mlr-org/mlr3pipelines on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, and on R-devel

Governance and community (3)

Contributing guide (inherited from mlr-org)

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-28 · The repository has a site deploy workflow

pkgdown site last built 2026-09-05

Automation and maintenance (2)

Dependabotpre-commit

Show all practicesHide 2 practices

Lint, format, editor (3)

lintrEditorConfigRStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2025-11-04
Seen in the repository: CLAUDE.md
Named in .Rbuildignore: CLAUDE.md
Pull request it wrote: opened by a project member
Commits: at least 20 crediting it in the message

Shared conventions any agent may read, so they name no particular tool.

Seen in the repository: AGENTS.md

Models named in its commits

Claude Fable 510 commits · Jul 2026
Claude Opus 55 commits · Aug 2026
Claude Opus 4.83 commits · Jul 2026
Claude Fable 5.12 commits · Sep 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

41 external dependencies (excludes base and recommended)

Installing mlr3pipelines adds 24 packages (11 with compiled code, 16 MB of source tarballs). Heaviest: data.table 5.7 MB, palmerpenguins 2.9 MB, mlbench 967 KB.

Depends (1)

R >= 3.3.0

Imports (10)

backports checkmate cli data.table digest lgr mlr3 (>= 0.20.0)mlr3misc paradox R6

LinkingTo (0)

none

Suggests (35)

ggplot2 glmnet igraph knitr lme4 mlbench bbotk (>= 0.3.0)mlr3filters mlr3learners mlr3measures nloptr quanteda rmarkdownrpartstopwords testthat visNetwork bestNormalize fastICA kernlab smotefamily evaluate NMFMASSGenSAmethodsvtreat future htmlwidgets ranger themissplinesdimRed RSpectra RANN

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

10direct

1indirect

Depends 2 · Imports 8

Suggested by 15

Show all 25 packagesHide all 25 packages

Depends, Imports or LinkingTo, most downloaded first

mlr3verse mlr3torch mlr3fda mlr3fairness mlr3forecast mlim mlr3shiny mcboost mlr3automl spFSR

Suggests, most downloaded first

VIM mlr3tuning mlr3mbo mlr3fselect mlr3filters DoubleML mlr3hyperband mlr3tuningspaces mlr3spatiotempcv mlr3summary mlr3resampling counterfactuals mlrintermbo xtdml xtifedml

How these are counted

Code & Tests

People & History

People (11)

Martin Binder

Author, Maintainer since 0.1.0 (2019)

Bernd Bischl

Author

Susanne Dandl

Author

Sebastian Fischer

Author · added in 0.5.0

Michel Lang

Author

Florian Pfisterer

Author

Lennart Schneider

Author · added in 0.2.1

Lona Koers

Contributor · added in 0.7.1

Keno Mersmann

Contributor · added in 0.7.0

Maximilian Mücke

Contributor · added in 0.7.0

Alexander Winterstetter

Contributor · added in 0.10.0

Releases (32)

Pick two releases to compare their code metrics.

0.12.0Latest
record
2026-09-05 · current release · diff ↗ ·
removed 1 export
greplicate

added 7 exports
PipeOpMaterialize, selector_negative, selector_non_missing, selector_non_negative, selector_non_positive, selector_non_zero, selector_positive
R
R 4.6.0 released · 2026-04-24
0.11.0
record
2026-03-01 · diff ↗ ·
added 2 exports
PipeOpClassWeightsEx, PipeOpSplines
0.10.0
record
2025-11-28 · diff ↗ ·
added 3 exports
FilterEnsemble, PipeOpInfo, PipeOpIsomap
0.9.0
record
2025-11-28 · diff ↗
0.8.0
record
2025-06-17 · diff ↗ ·
added 1 export
preproc
R
R 4.5.0 released · 2025-04-11
0.7.2
record
2025-03-07 · diff ↗ ·
added 4 exports
PipeOpDecode, PipeOpEncodePL, PipeOpEncodePLQuantiles, PipeOpEncodePLTree
0.7.1
record
2024-11-14 · diff ↗ ·
added 4 exports
PipeOpLearnerPICVPlus, PipeOpLearnerQuantiles, PipeOpNearmiss, PipeOpTomek
0.7.0
record
2024-09-24 · diff ↗ ·
added 13 exports
%among%, CnfAtom, CnfClause, CnfFormula, CnfSymbol, CnfUniverse, PipeOpADAS, PipeOpBLSmote, PipeOpRowApply, PipeOpSmoteNC, as.CnfAtom, as.CnfClause, as.CnfFormula
0.6.0
record
2024-07-01 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.5.2
record
2024-04-23 · diff ↗ ·
added 1 export
pipeline_convert_types
0.5.1
record
2024-03-26 · diff ↗
0.5.0-2
record
2023-12-08 · diff ↗
0.5.0-1
record
2023-05-22 · diff ↗

Show 24 earlier eventsHide 24 earlier events

0.5.0
record
2023-05-22 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.4.3
record
2023-03-23 · diff ↗
0.4.2
record
2022-09-21 · diff ↗
0.4.1
record
2022-05-15 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.4.0
record
2021-11-15 · diff ↗ ·
added 5 exports
%>>!%, chain_graphs, concat_graphs, pos, ppls
0.3.6-1
record
2021-10-06 · diff ↗
0.3.6
record
2021-09-07 · diff ↗
0.3.5-1
record
2021-08-05 · diff ↗ ·
added 1 export
pipeline_stacking
0.3.5
record
2021-07-06 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.3.4
record
2021-03-05 · diff ↗
0.3.3
record
2021-02-09 · diff ↗
0.3.2
record
2020-12-18 · diff ↗
0.3.1
record
2020-11-16 · diff ↗
0.3.0
record
2020-09-13 · diff ↗ ·
added 5 exports
PipeOpColRoles, PipeOpNMF, PipeOpRandomProjection, PipeOpTuneThreshold, PipeOpVtreat
0.2.1
record
2020-08-18 · diff ↗ ·
removed 2 exports
PipeOpImputeNewlvl, branch

added 32 exports
Multiplicity, PipeOpDateFeatures, PipeOpImputeConstant, PipeOpImputeLearner, PipeOpImputeMode, PipeOpImputeOOR, PipeOpMultiplicityExply, PipeOpMultiplicityImply, PipeOpOVRSplit, PipeOpOVRUnite, PipeOpProxy, PipeOpRandomResponse, PipeOpRenameColumns, PipeOpReplicate, PipeOpTargetInvert, PipeOpTargetMutate, PipeOpTargetTrafo, PipeOpTargetTrafoScaleRange, PipeOpTextVectorizer, PipeOpThreshold, as.Multiplicity, is.Multiplicity, mlr_graphs, pipeline_bagging, pipeline_branch, pipeline_greplicate, pipeline_ovr, pipeline_robustify, pipeline_targettrafo, ppl and 2 more
R
R 4.0.0 released · 2020-04-24
0.1.3
record
2020-04-06 · diff ↗
0.1.2
record
2019-12-10 · diff ↗
0.1.1
record
2019-10-29 · diff ↗ ·
added 2 exports
PipeOpClassWeights, PipeOpEncodeImpact
0.1.0
record
2019-10-06
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-10-06
Total releases: 32 / 7 yrs
License: LGPL-3 OSI
Minimum R: ≥ 3.3.0
Download size: 843 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("mlr3pipelines")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlr3pipelines version 0.12.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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