tfdatasets: Interface to 'TensorFlow' Datasets

Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <> for additional details.

Version: 2.17.0
Depends: R (≥ 3.1)
Imports: reticulate (≥ 1.10), tensorflow (≥ 1.13.1), magrittr, rlang, tidyselect, stats, generics, vctrs
Suggests: testthat, knitr, keras3, rsample, rmarkdown, Metrics, dplyr, progress, tfestimators
Published: 2024-07-16
DOI: 10.32614/CRAN.package.tfdatasets
Author: Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Yuan Tang ORCID iD [aut], Kevin Ushey [aut], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Tomasz Kalinowski <tomasz at>
License: Apache License 2.0
NeedsCompilation: no
SystemRequirements: TensorFlow >= 1.4 (
Materials: README NEWS
CRAN checks: tfdatasets results


Reference manual: tfdatasets.pdf
Vignettes: Introduction


Package source: tfdatasets_2.17.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): tfdatasets_2.17.0.tgz, r-oldrel (arm64): tfdatasets_2.9.0.tgz, r-release (x86_64): tfdatasets_2.17.0.tgz, r-oldrel (x86_64): tfdatasets_2.9.0.tgz
Old sources: tfdatasets archive

Reverse dependencies:

Reverse imports: animl, tfio, TSPred
Reverse suggests: keras, keras3, kerastuneR, tfprobability


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