tfdatasets: Interface to 'TensorFlow' Datasets

Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/programmers_guide/datasets> for additional details.

Version: 2.0.0
Depends: R (≥ 3.1)
Imports: reticulate (≥ 1.10), tensorflow (≥ 1.13.1), magrittr, rlang, tidyselect, stats, generics, tfestimators
Suggests: testthat, knitr, keras, rsample, rmarkdown, Metrics, dplyr
Published: 2019-12-13
Author: Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], Yuan Tang ORCID iD [aut], Kevin Ushey [aut], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Daniel Falbel <daniel at rstudio.com>
BugReports: https://github.com/rstudio/tfdatasets/issues
License: Apache License 2.0
URL: https://github.com/rstudio/tfdatasets
NeedsCompilation: no
SystemRequirements: TensorFlow >= 1.4 (https://www.tensorflow.org/)
Materials: README NEWS
CRAN checks: tfdatasets results

Downloads:

Reference manual: tfdatasets.pdf
Vignettes: Feature columns
Feature Spec Interface
Introduction
Package source: tfdatasets_2.0.0.tar.gz
Windows binaries: r-devel: tfdatasets_2.0.0.zip, r-devel-gcc8: tfdatasets_2.0.0.zip, r-release: tfdatasets_2.0.0.zip, r-oldrel: tfdatasets_2.0.0.zip
OS X binaries: r-release: tfdatasets_2.0.0.tgz, r-oldrel: tfdatasets_2.0.0.tgz
Old sources: tfdatasets archive

Reverse dependencies:

Reverse imports: tfio
Reverse suggests: keras, tfautograph

Linking:

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