tensorframes (homepage)

Tensorflow wrapper for DataFrames on Apache Spark

@databricks / (0)

TensorFrames (TensorFlow on Spark Dataframes) lets you manipulate Spark's DataFrames with TensorFlow programs.
This package provides Python bindings, a Scala DSL and a small runtime to express and run TensorFlow computation graphs.


  • 1|tensorflow

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages databricks:tensorframes:0.2.3-s_2.10


If you use the sbt-spark-package plugin, in your sbt build file, add:

spDependencies += "databricks/tensorframes:0.2.3-s_2.10"


resolvers += "Spark Packages Repo" at "http://dl.bintray.com/spark-packages/maven"

libraryDependencies += "databricks" % "tensorframes" % "0.2.3-s_2.10"


In your pom.xml, add:
  <!-- list of dependencies -->
  <!-- list of other repositories -->


Version: 0.2.3-s_2.10 ( 58737c | zip | jar ) / Date: 2016-07-15 / License: Apache-2.0 / Scala version: 2.10