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  [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.html , 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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