R Observatory: Metrics for mlr3torch version 0.3.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mlr3torch

0.3.3Package record

Deep Learning with 'mlr3'

1packages dependsuggested by 3

38.3Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Sebastian FischerCRAN page ↗GitHub ↗Website ↗Issues ↗

Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It allows to conveniently build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.

Changes in 0.3.3

Feat: Improve lazy_tensor printing.
Fix: Improve consistency in as_lazy_tensor() when converting 1D tensors to lazy tensors.
Various minor bug fixes

From NEWS.md in the release

Install

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

install.packages("mlr3torch", 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/mlr3torch")

Development version from mlr-org/mlr3torch. 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-mlr3torch

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-mlr3torch

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-mlr3torch

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: 7.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-08
ERROR12 OK, 1 ERROR2026-06-07
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.3

READMEYes · 752 wordsVignettesNoNEWSYes · 100% structured · mentions 0.3.3Citation fileNoWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages: 184 (3 internal)includes a package overview page
Examples that run: 100%112 run in a plain check (106 of them under a condition)
Exported functions with examples: 71%
Documented parameters: 97%
Return-value docs: 15%
Help pages citing references: 8%

How these are measured

Downloads

38.3K

CRAN downloads in the past year

Rank #2,243 · ~105/day · ~3.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

3K30 days

7.7K90 days

38.3K1 year

Compare downloads with other packages →

Also on645 r2u4 autocran

How downloads are counted

Repository

mlr-org/mlr3torch ↗Organization: mlr-org

56Stars

10Forks

8Open issues

2Open PRs

9Releases

504Commits

10Commit identities

data-sciencedeep-learningmachine-learningmlr3rr-packagetorch

504 commits · Last activity 2026-10-22 · 0% stars, 30d · Default branch at 0.3.3.9000, ahead of CRAN 0.3.3 (checked 2026-10-21) · Discussions: 3 posts

Responsiveness

How these are sampled

PRs merged (all time): 81%
Median days to close, 50 most recently updated closed issues: 546
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-09-21 · 532026-08-23 · 56

How these are measured

PracticesBeta

17 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/mlr-org/mlr3torch on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, 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 2026-10-20 · The repository has a site deploy workflow

pkgdown site last built 2026-03-03

Reproducibility and dev environment (1)

data-raw/

Show all practicesHide 3 practices

CRAN release process (1)

cran-comments.md

Lint, format, editor (5)

lintrLint workflowjarlEditorConfigRStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-01-31
Seen in the repository: .claude
Named in .Rbuildignore: .claude
Named in .gitignore: .claude
Pull request it wrote: opened by a project member
Commits: at least 5 crediting it in the message

Models named in its commits

Claude Opus 55 commits · Aug 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

29 external dependencies (excludes base and recommended)

Installing mlr3torch adds 46 packages (21 with compiled code, 26 MB of source tarballs). Heaviest: data.table 5.7 MB, palmerpenguins 2.9 MB, torch 1.9 MB.

Depends (4)

R >= 3.5.0mlr3 mlr3pipelines torch

Imports (10)

backports cli checkmate data.table lgrmethodsmlr3misc paradox R6 withr

LinkingTo (0)

none

Suggests (18)

callr curl future ggplot2 igraph jsonlite knitr mlr3tuning progress rmarkdownrpartviridis visNetwork testthat tibble tfevents torchvision waldo

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

1indirect

Imports 1

Suggested by 3

Depends, Imports or LinkingTo, most downloaded first

mlr3verse

Suggests, most downloaded first

mlr3tuningspaces mlr3resampling mlr3automl

How these are counted

Code & Tests

People & History

People (6)

Sebastian Fischer

Maintainer since 0.1.0 (2024), Author

Author

Contributor

Contributor

Contributor

Contributor · added in 0.2.0

Releases (9)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.3.3Latest
record
2026-01-31 · current release · diff ↗
0.3.2
record
2025-10-31 · diff ↗
0.3.1
record
2025-08-26 · diff ↗
0.3.0
record
2025-07-07 · diff ↗ ·
added 24 exports
CallbackSetLRSchedulerOneCycle, CallbackSetLRSchedulerReduceOnPlateau, LearnerTorchFTTransformer, LearnerTorchModule, PipeOpTorchFTCLS, PipeOpTorchFTTransformerBlock, PipeOpTorchFn, PipeOpTorchGeGLU, PipeOpTorchIdentity, PipeOpTorchReGLU, PipeOpTorchTokenizerCateg, PipeOpTorchTokenizerNum, infer_shapes, ingress_categ, ingress_ltnsr, ingress_num, lazy_shape, nn_ft_cls, nn_ft_transformer_block, nn_geglu, nn_reglu, nn_tokenizer_categ, nn_tokenizer_num, output_dim_for
R
R 4.5.0 released · 2025-04-11
0.2.1
record
2025-02-13 · diff ↗
0.2.0
record
2025-02-07 · diff ↗ ·
added 12 exports
CallbackSetLRScheduler, CallbackSetTB, CallbackSetUnfreeze, PipeOpTorchAdaptiveAvgPool1D, PipeOpTorchAdaptiveAvgPool2D, PipeOpTorchAdaptiveAvgPool3D, as_lr_scheduler, select_all, select_grep, select_invert, select_name, select_none
0.1.2
record
2024-10-15 · diff ↗
0.1.1
record
2024-09-12 · diff ↗ ·
added 1 export
nn
0.1.0
record
2024-07-08
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-07-08
Total releases: 9 / 2 yrs
License: LGPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Download size: 1.0 MB

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlr3torch")

Format

Fischer, S., Binder, M., Bischl, B., Burk, L., Pfisterer, F., & Zhang, C. (2026). mlr3torch: Deep Learning with 'mlr3' (Version 0.3.3) [Computer software]. https://doi.org/10.32614/CRAN.package.mlr3torch

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlr3torch version 0.3.3 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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