nz.ac.waikato.cms.weka:rotationForest 1.0.2

An ensemble learning method inspired by bagging and random sub-spaces. Trains an ensemble of decision trees on random subspaces of the data, where each subspace has been transformed using principal components analysis.

Categories	Weka Business Logic Libraries Machine Learning
GroupId	nz.ac.waikato.cms.weka
ArtifactId	rotationForest
Version	1.0.2
Type	jar

Download rotationForest 1.0.2

Filename	Size
rotationForest-1.0.2.pom
rotationForest-1.0.2.jar	15 KB
rotationForest-1.0.2-tests.jar	4 KB
rotationForest-1.0.2-test-sources.jar	1 KB
rotationForest-1.0.2-sources.jar	9 KB
rotationForest-1.0.2-javadoc.jar	30 KB

Apache Maven

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/rotationForest/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>rotationForest</artifactId>
    <version>1.0.2</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/rotationForest/
implementation 'nz.ac.waikato.cms.weka:rotationForest:1.0.2'

Gradle Kotlin

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/rotationForest/
implementation ("nz.ac.waikato.cms.weka:rotationForest:1.0.2")

Apache Buildr

'nz.ac.waikato.cms.weka:rotationForest:jar:1.0.2'

Apache Ivy

<dependency org="nz.ac.waikato.cms.weka" name="rotationForest" rev="1.0.2">
  <artifact name="rotationForest" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='rotationForest', version='1.0.2')
)

Scala SBT

libraryDependencies += "nz.ac.waikato.cms.weka" % "rotationForest" % "1.0.2"

Leiningen

[nz.ac.waikato.cms.weka/rotationForest "1.0.2"]