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sparktf: Interface for 'TensorFlow' 'TFRecord' Files with 'Apache Spark'

A 'sparklyr' extension that enables reading and writing 'TensorFlow' TFRecord files via 'Apache Spark'.

Version: 0.1.0
Depends: R (≥ 3.1.2)
Imports: sparklyr (≥ 1.0)
Suggests: testthat, dplyr
Published: 2019-03-05
DOI: 10.32614/CRAN.package.sparktf
Author: Kevin Kuo ORCID iD [aut, cre]
Maintainer: Kevin Kuo <kevin.kuo at rstudio.com>
License: Apache License (≥ 2.0)
NeedsCompilation: no
SystemRequirements: TensorFlow (https://www.tensorflow.org/)
Materials: README
CRAN checks: sparktf results

Documentation:

Reference manual: sparktf.pdf

Downloads:

Package source: sparktf_0.1.0.tar.gz
Windows binaries: r-devel: sparktf_0.1.0.zip, r-release: sparktf_0.1.0.zip, r-oldrel: sparktf_0.1.0.zip
macOS binaries: r-release (arm64): sparktf_0.1.0.tgz, r-oldrel (arm64): sparktf_0.1.0.tgz, r-release (x86_64): sparktf_0.1.0.tgz, r-oldrel (x86_64): sparktf_0.1.0.tgz

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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