ml.shifu:guagua-examples

An iterative computing framework on both Hadoop MapReduce and Hadoop YARN.

License	The Apache Software License, Version 2.0
GroupId	ml.shifu
ArtifactId	guagua-examples
Last Version	0.7.10
Release Date	Jan 25, 2021
Type	jar
Description	An iterative computing framework on both Hadoop MapReduce and Hadoop YARN.

Download guagua-examples

Filename	Size
guagua-examples-0.7.10.pom
guagua-examples-0.7.10.jar	70 KB
guagua-examples-0.7.10-sources.jar	53 KB
guagua-examples-0.7.10-javadoc.jar	212 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/ml.shifu/guagua-examples/ -->
<dependency>
    <groupId>ml.shifu</groupId>
    <artifactId>guagua-examples</artifactId>
    <version>0.7.10</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/ml.shifu/guagua-examples/
implementation 'ml.shifu:guagua-examples:0.7.10'

Gradle Kotlin

// https://jarcasting.com/artifacts/ml.shifu/guagua-examples/
implementation ("ml.shifu:guagua-examples:0.7.10")

Apache Buildr

'ml.shifu:guagua-examples:jar:0.7.10'

Apache Ivy

<dependency org="ml.shifu" name="guagua-examples" rev="0.7.10">
  <artifact name="guagua-examples" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='ml.shifu', module='guagua-examples', version='0.7.10')
)

Scala SBT

libraryDependencies += "ml.shifu" % "guagua-examples" % "0.7.10"

Leiningen

[ml.shifu/guagua-examples "0.7.10"]

Dependencies

compile (4)

Group / Artifact	Type	Version
org.encog : encog-core	jar	3.0.0
com.google.guava : guava	jar	14.0.1
org.slf4j : slf4j-log4j12	jar	1.7.5
org.slf4j : slf4j-api	jar	1.7.5

test (1)

Group / Artifact	Type	Version
junit : junit	jar	4.8

Project Modules

There are no modules declared in this project.

Guagua

An iterative computing framework on both Hadoop MapReduce and Hadoop YARN.

News

Guagua 0.7.7 is released with a lot of improvements. Check our changes

Conference

QCON Shanghai 2014 Slides

Getting Started

Please visit Guagua wiki site for tutorials.

What is Guagua?

Guagua, a sub-project of Shifu, is a distributed, pluggable and scalable iterative computing framework based on Hadoop MapReduce and YARN.

This graph shows the iterative computing process for Guagua.

Typical use cases for Guagua are distributed machine learning model training based on Hadoop. By using Guagua, we implement distributed neural network algorithm which can reduce model training time from days to hours on 1TB data sets. Distributed neural network algorithm is based on Encog and Guagua. Any details please check our example source code.

Google Group

Please join Guagua group if questions, bugs or anything else.

Copyright and License

Copyright 2013-2017, PayPal Software Foundation under the Apache License V2.0.

Shifu

Versions

Version
0.7.10 Jan 25, 2021
0.7.9 Jun 20, 2019
0.7.8 Nov 21, 2018
0.7.7 Jun 30, 2017
0.7.6 May 15, 2017
0.7.5 Feb 17, 2017
0.7.4 Sep 26, 2016
0.7.3 Jun 12, 2016
0.7.2 Aug 25, 2015
0.7.1 Jun 5, 2015
0.7.0 Apr 10, 2015
0.6.1 Mar 31, 2015
0.6.0 Mar 26, 2015