nz.ac.waikato.cms.moa:moa 2012.03

MOA is a framework for data stream mining. It includes a collection of machine learning algorithms (classification, regression, and clustering) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding problems.

Categories	MOA Business Logic Libraries Machine Learning
GroupId	nz.ac.waikato.cms.moa
ArtifactId	moa
Version	2012.03
Type	jar

Download moa 2012.03

Filename	Size
moa-2012.03.pom
moa-2012.03.jar	657 KB
moa-2012.03-sources.jar	518 KB
moa-2012.03-javadoc.jar	1 MB

Apache Maven

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.moa/moa/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.moa</groupId>
    <artifactId>moa</artifactId>
    <version>2012.03</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.moa/moa/
implementation 'nz.ac.waikato.cms.moa:moa:2012.03'

Gradle Kotlin

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.moa/moa/
implementation ("nz.ac.waikato.cms.moa:moa:2012.03")

Apache Buildr

'nz.ac.waikato.cms.moa:moa:jar:2012.03'

Apache Ivy

<dependency org="nz.ac.waikato.cms.moa" name="moa" rev="2012.03">
  <artifact name="moa" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='nz.ac.waikato.cms.moa', module='moa', version='2012.03')
)

Scala SBT

libraryDependencies += "nz.ac.waikato.cms.moa" % "moa" % "2012.03"

Leiningen

[nz.ac.waikato.cms.moa/moa "2012.03"]