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rotationForest

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.
http://weka.sourceforge.net/doc.packages/rotationForest
GNU General Public License 3
University of Waikato, Hamilton, NZ
Juan Jose Rodriguez
文件下载
文件名 操作
rotationForest-1.0.3.jar 下载
rotationForest-1.0.3.pom 下载
rotationForest-1.0.3-sources.jar 下载
Apache Maven
<dependency>
  <groupId>nz.ac.waikato.cms.weka</groupId>
  <artifactId>rotationForest</artifactId>
  <version>1.0.3</version>
</dependency>
Gradle Groovy
implementation 'nz.ac.waikato.cms.weka:rotationForest:1.0.3'
Gradle Kotlin
implementation("nz.ac.waikato.cms.weka:rotationForest:1.0.3")
Scala SBT
libraryDependencies += "nz.ac.waikato.cms.weka" % "rotationForest" % "1.0.3"
Groovy Grape
@Grapes(
  @Grab(group='nz.ac.waikato.cms.weka', module='rotationForest', version='1.0.3')
)
Apache Ivy
<dependency org="nz.ac.waikato.cms.weka" name="rotationForest" rev="1.0.3" />
Leiningen
[nz.ac.waikato.cms.weka/rotationForest "1.0.3"]
Apache Buildr
'nz.ac.waikato.cms.weka:rotationForest:jar:1.0.3'