tabnet: Fit 'TabNet' Models for Classification and Regression

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

Version: 0.3.0
Imports: torch (≥ 0.4.0), hardhat, magrittr, glue, progress, rlang, methods, tibble, coro, vctrs
Suggests: testthat, modeldata, recipes, parsnip, dials, withr, knitr, rmarkdown, vip, tidyverse, ggplot2, dplyr, tidyr, purrr, tune, workflows
Published: 2021-10-11
Author: Daniel Falbel [aut, cre], RStudio [cph], Christophe Regouby [ctb]
Maintainer: Daniel Falbel <daniel at rstudio.com>
BugReports: https://github.com/mlverse/tabnet/issues
License: MIT + file LICENSE
URL: https://github.com/mlverse/tabnet
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tabnet results

Documentation:

Reference manual: tabnet.pdf
Vignettes: Interpretation tools
Fitting tabnet with tidymodels
Unsupervised training and fine-tuning

Downloads:

Package source: tabnet_0.3.0.tar.gz
Windows binaries: r-devel: tabnet_0.3.0.zip, r-release: tabnet_0.3.0.zip, r-oldrel: tabnet_0.3.0.zip
macOS binaries: r-release (arm64): tabnet_0.2.0.tgz, r-release (x86_64): tabnet_0.3.0.tgz, r-oldrel: tabnet_0.3.0.tgz
Old sources: tabnet archive

Linking:

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