tabnet: Fit 'TabNet' Models for Classification and Regression

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

Version:	0.5.0
Depends:	R (≥ 3.6)
Imports:	torch (≥ 0.4.0), hardhat (≥ 1.3.0), magrittr, progress, rlang, methods, dplyr, tibble, tidyr, coro, vctrs, zeallot
Suggests:	testthat (≥ 3.0.0), data.tree, Matrix, modeldata, recipes, rsample, parsnip, dials, withr, knitr, rmarkdown, vip, tidyverse, ggplot2, purrr, stringr, tune, workflows, yardstick
Published:	2023-12-05
Author:	Daniel Falbel [aut], RStudio [cph], Christophe Regouby [cre, ctb], Egill Fridgeirsson [ctb], Philipp Haarmeyer [ctb], Sven Verweij [ctb]
Maintainer:	Christophe Regouby <christophe.regouby at free.fr>
BugReports:	https://github.com/mlverse/tabnet/issues
License:	MIT + file LICENSE
URL:	https://mlverse.github.io/tabnet/, https://github.com/mlverse/tabnet
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	tabnet results

Documentation:

Reference manual:	tabnet.pdf
Vignettes:	Hierarchical Classification pretrain from dataset with missing-values Interpretation tools Self-supervised training and fine-tuning Fitting tabnet with tidymodels

Downloads:

Package source:	tabnet_0.5.0.tar.gz
Windows binaries:	r-devel: tabnet_0.5.0.zip, r-release: tabnet_0.4.0.zip, r-oldrel: tabnet_0.4.0.zip
macOS binaries:	r-release (arm64): tabnet_0.5.0.tgz, r-oldrel (arm64): tabnet_0.5.0.tgz, r-release (x86_64): tabnet_0.5.0.tgz, r-oldrel (x86_64): tabnet_0.4.0.tgz
Old sources:	tabnet archive

Linking:

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