nz.ac.waikato.cms.moa:weka-package 2018.6.0

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to use MOA from within WEKA.

Categories	MOA Business Logic Libraries Machine Learning
GroupId	nz.ac.waikato.cms.moa
ArtifactId	weka-package
Version	2018.6.0
Type	jar

Download weka-package 2018.6.0

Filename	Size
weka-package-2018.6.0.pom
weka-package-2018.6.0.jar	2 KB
weka-package-2018.6.0-javadoc.jar	336 bytes

Apache Maven

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.moa/weka-package/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.moa</groupId>
    <artifactId>weka-package</artifactId>
    <version>2018.6.0</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.moa/weka-package/
implementation 'nz.ac.waikato.cms.moa:weka-package:2018.6.0'

Gradle Kotlin

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.moa/weka-package/
implementation ("nz.ac.waikato.cms.moa:weka-package:2018.6.0")

Apache Buildr

'nz.ac.waikato.cms.moa:weka-package:jar:2018.6.0'

Apache Ivy

<dependency org="nz.ac.waikato.cms.moa" name="weka-package" rev="2018.6.0">
  <artifact name="weka-package" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='nz.ac.waikato.cms.moa', module='weka-package', version='2018.6.0')
)

Scala SBT

libraryDependencies += "nz.ac.waikato.cms.moa" % "weka-package" % "2018.6.0"

Leiningen

[nz.ac.waikato.cms.moa/weka-package "2018.6.0"]