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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 |
| 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:
Downloads:
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https://CRAN.R-project.org/package=sparktf
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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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