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sparktf  

Interface for 'TensorFlow' 'TFRecord' Files with 'Apache Spark'
View on CRAN: Click here


Download and install sparktf package within the R console
Install from CRAN:
install.packages("sparktf")

Install from Github:
library("remotes")
install_github("cran/sparktf")

Install by package version:
library("remotes")
install_version("sparktf", "0.1.0")



Attach the package and use:
library("sparktf")
Maintained by
Kevin Kuo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-05
Latest Update: 2019-03-05
Description:
A 'sparklyr' extension that enables reading and writing 'TensorFlow' TFRecord files via 'Apache Spark'.
How to cite:
Kevin Kuo (2019). sparktf: Interface for 'TensorFlow' 'TFRecord' Files with 'Apache Spark'. R package version 0.1.0, https://cran.r-project.org/web/packages/sparktf. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:06), 0.1.0 (2019-03-05 15:30)
Other packages that cited sparktf R package
View sparktf citation profile
Other R packages that sparktf depends, imports, suggests or enhances
Complete documentation for sparktf
Functions, R codes and Examples using the sparktf R package
Some associated functions: spark_read_tfrecord . spark_write_tfrecord . 
Some associated R codes: dependencies.R . loader.R . util.R . writer.R .  Full sparktf package functions and examples
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