net.sf.meka:meka 1.9.2

The MEKA project provides an open source implementation of methods for multi-label classification and evaluation. It is based on the WEKA Machine Learning Toolkit. Several benchmark methods are also included, as well as the pruned sets and classifier chains methods, other methods from the scientific literature, and a wrapper to the MULAN framework.

Categories	Net
GroupId	net.sf.meka
ArtifactId	meka
Version	1.9.2
Type	jar

Download meka 1.9.2

Filename	Size
meka-1.9.2.pom
meka-1.9.2.jar	956 KB
meka-1.9.2-sources.jar	708 KB
meka-1.9.2-javadoc.jar	3 MB
meka-1.9.2-examples.jar	29 KB
meka-1.9.2-examples-sources.jar	22 KB

Apache Maven

<!-- https://jarcasting.com/artifacts/net.sf.meka/meka/ -->
<dependency>
    <groupId>net.sf.meka</groupId>
    <artifactId>meka</artifactId>
    <version>1.9.2</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/net.sf.meka/meka/
implementation 'net.sf.meka:meka:1.9.2'

Gradle Kotlin

// https://jarcasting.com/artifacts/net.sf.meka/meka/
implementation ("net.sf.meka:meka:1.9.2")

Apache Buildr

'net.sf.meka:meka:jar:1.9.2'

Apache Ivy

<dependency org="net.sf.meka" name="meka" rev="1.9.2">
  <artifact name="meka" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='net.sf.meka', module='meka', version='1.9.2')
)

Scala SBT

libraryDependencies += "net.sf.meka" % "meka" % "1.9.2"

Leiningen

[net.sf.meka/meka "1.9.2"]