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sMTL  

Sparse Multi-Task Learning
View on CRAN: Click here


Download and install sMTL package within the R console
Install from CRAN:
install.packages("sMTL")

Install from Github:
library("remotes")
install_github("cran/sMTL")

Install by package version:
library("remotes")
install_version("sMTL", "0.1.0")



Attach the package and use:
library("sMTL")
Maintained by
Gabriel Loewinger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-06
Latest Update: 2023-02-06
Description:
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) <doi:10.48550/arXiv.2212.08697>.
How to cite:
Gabriel Loewinger (2023). sMTL: Sparse Multi-Task Learning. R package version 0.1.0, https://cran.r-project.org/web/packages/sMTL
Previous versions and publish date:
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