linkedin / spark-tfrecord   0.6.1

BSD 2-clause "Simplified" License GitHub

Read and write Tensorflow TFRecord data from Apache Spark.

Scala versions: 2.13 2.12 2.11

spark-tfrecord 0.4.0


Group ID:
com.linkedin.sparktfrecord
Artifact ID:
spark-tfrecord_2.12
Version:
0.4.0
Release Date:
Jun 5, 2022
Licenses:
Files:

libraryDependencies += "com.linkedin.sparktfrecord" %% "spark-tfrecord" % "0.4.0"

Mill build tool

ivy"com.linkedin.sparktfrecord::spark-tfrecord:0.4.0"

Scala CLI

//> using dep "com.linkedin.sparktfrecord::spark-tfrecord:0.4.0"

Ammonite REPL

import $ivy.`com.linkedin.sparktfrecord::spark-tfrecord:0.4.0`

<dependency>
  <groupId>com.linkedin.sparktfrecord</groupId>
  <artifactId>spark-tfrecord_2.12</artifactId>
  <version>0.4.0</version>
</dependency>

compile group: 'com.linkedin.sparktfrecord', name: 'spark-tfrecord_2.12', version: '0.4.0'