Sparse Multi-Task Learning
Overview
Implements L0-constrained Multi-Task Learning and domain generalization algorithms. The algorithms are coded in Julia allowing for fast implementations of the coordinate descent and local combinatorial search algorithms. For more details, see a preprint of the paper: Loewinger et al., (2022) arXiv:2212.08697.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Gabriel Loewinger <gloewinger@gmail.com>’ The Description field contains Loewinger et al., (2022) <arXiv:2212.08697>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
- NOTE11 OK, 2 NOTE2026-05-02
- ERROR9 OK, 2 NOTE, 1 ERROR2026-04-25
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 16
- Examples that run
- 25%1 run in a plain check · 3 never run
- Exported functions with examples
- 25%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Checks run against github.com/gloewing/smtl on 2026-10-22.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing sMTL adds 73 packages (40 with compiled code, 55 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.0Latest2023-02-06 · current release
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-02-06
- Total releases
- 1 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 65 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("sMTL")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 v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.