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 |
Reference manual: | tabnet.pdf |
Vignettes: |
Interpretation tools Fitting tabnet with tidymodels Unsupervised training and fine-tuning |
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_0.3.0.tgz, r-oldrel (arm64): tabnet_0.3.0.tgz, r-release (x86_64): tabnet_0.3.0.tgz, r-oldrel (x86_64): tabnet_0.3.0.tgz |
Old sources: | tabnet archive |
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