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tabnet: Fit 'TabNet' Models for Classification and Regression

Implements the 'TabNet' model by Sercan O. Arik et al. (2019) <doi:10.48550/arXiv.1908.07442> with 'Coherent Hierarchical Multi-label Classification Networks' by Giunchiglia et al. <doi:10.48550/arXiv.2010.10151> and provides a consistent interface for fitting and creating predictions. It's also fully compatible with the 'tidymodels' ecosystem.

Version:0.7.0
Depends:R (≥ 3.6)
Imports:coro,data.tree,dials,dplyr,ggplot2,hardhat (≥ 1.3.0),magrittr,Matrix, methods,parsnip,progress,purrr,rlang, stats,stringr,tibble,tidyr,torch (≥ 0.4.0),tune, utils,vctrs,withr,zeallot
Suggests:cli,knitr,modeldata,patchwork,recipes,rmarkdown,rsample,spelling,testthat (≥ 3.0.0),tidymodels,tidyverse,vip,visdat,workflows,yardstick
Published:2025-04-17
DOI:10.32614/CRAN.package.tabnet
Author:Daniel Falbel [aut], RStudio [cph], Christophe Regouby [cre, ctb], Egill Fridgeirsson [ctb], Philipp Haarmeyer [ctb], Sven VerweijORCID iD [ctb]
Maintainer:Christophe Regouby <christophe.regouby at free.fr>
BugReports:https://github.com/mlverse/tabnet/issues
License:MIT + fileLICENSE
URL:https://mlverse.github.io/tabnet/,https://github.com/mlverse/tabnet
NeedsCompilation:no
Language:en-US
Materials:README,NEWS
CRAN checks:tabnet results

Documentation:

Reference manual:tabnet.html ,tabnet.pdf
Vignettes:Hierarchical Classification (source,R code)
Training a Tabnet model from missing-values dataset (source,R code)
Interpretation tools (source,R code)
Self-supervised training and fine-tuning (source,R code)
Fitting tabnet with tidymodels (source,R code)

Downloads:

Package source: tabnet_0.7.0.tar.gz
Windows binaries: r-devel:tabnet_0.7.0.zip, r-release:tabnet_0.7.0.zip, r-oldrel:tabnet_0.7.0.zip
macOS binaries: r-release (arm64):tabnet_0.7.0.tgz, r-oldrel (arm64):tabnet_0.7.0.tgz, r-release (x86_64):tabnet_0.7.0.tgz, r-oldrel (x86_64):tabnet_0.7.0.tgz
Old sources: tabnet archive

Reverse dependencies:

Reverse suggests:butcher

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tabnetto link to this page.


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