Package: sparktf 0.1.0
Kevin Kuo
sparktf: Interface for 'TensorFlow' 'TFRecord' Files with 'Apache Spark'
A 'sparklyr' extension that enables reading and writing 'TensorFlow' TFRecord files via 'Apache Spark'.
Authors:
sparktf_0.1.0.tar.gz
sparktf_0.1.0.tar.gz(r-4.5-noble)sparktf_0.1.0.tar.gz(r-4.4-noble)
sparktf_0.1.0.tgz(r-4.4-emscripten)sparktf_0.1.0.tgz(r-4.3-emscripten)
sparktf.pdf |sparktf.html✨
sparktf/json (API)
# Install 'sparktf' in R: |
install.packages('sparktf', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:8a25128e86. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 08 2024 |
R-4.5-linux | OK | Dec 08 2024 |
Exports:spark_read_tfrecordspark_write_tfrecord
Dependencies:askpassblobclicodetoolsconfigcpp11curlDBIdbplyrdplyrfansigenericsglobalsgluehttrjsonlitelifecyclemagrittrmimeopensslpillarpkgconfigpurrrR6rlangrstudioapisparklyrstringistringrsystibbletidyrtidyselectutf8uuidvctrswithrxml2yaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Read a TFRecord File | spark_read_tfrecord |
Write a Spark DataFrame to a TFRecord file | spark_write_tfrecord |