tensorframes (homepage)

Tensorflow wrapper for DataFrames on Apache Spark

@tjhunter / (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.

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How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages tjhunter:tensorframes:0.2.2-s_2.10

sbt

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

spDependencies += "tjhunter/tensorframes:0.2.2-s_2.10"

Otherwise,

resolvers += "Spark Packages Repo" at "https://repos.spark-packages.org/"

libraryDependencies += "tjhunter" % "tensorframes" % "0.2.2-s_2.10"

Maven

In your pom.xml, add: 
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>tjhunter</groupId>
    <artifactId>tensorframes</artifactId>
    <version>0.2.2-s_2.10</version>
  </dependency>
</dependencies>
<repositories>
  <!-- list of other repositories -->
  <repository>
    <id>SparkPackagesRepo</id>
    <url>https://repos.spark-packages.org/</url>
  </repository>
</repositories>

Releases

Version: 0.2.2-s_2.10 ( 1b0abf | zip | jar ) / Date: 2016-05-18 / License: Apache-2.0 / Scala version: 2.10

Version: 0.2.1-s_2.10 ( 39d433 | zip | jar ) / Date: 2016-05-17 / License: Apache-2.0 / Scala version: 2.10

Version: 0.2.0-s_2.10 ( c34ea3 | zip | jar ) / Date: 2016-05-17 / License: Apache-2.0

Version: 0.1.2 ( cc8e0d | zip | jar ) / Date: 2016-04-26 / License: Apache-2.0

Version: 0.1.1 ( 2190df | zip | jar ) / Date: 2016-03-17 / License: Apache-2.0

Version: 0.1.0 ( 289942 | zip | jar ) / Date: 2016-03-16 / License: Apache-2.0 / Scala version: 2.11