e

extraTrees

Package for generating a single Extra-Tree. Use with the RandomCommittee meta classifier to generate an Extra-Trees forest for classification or regression. This classifier requires all predictors to be numeric. Missing values are not allowed. Instance weights are taken into account. For more information, see Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.
http://weka.sourceforge.net/doc.packages/extraTrees
GNU General Public License 3
University of Waikato, Hamilton, NZ
Eibe Frank
allowed predictors 2006 numeric single generate wehenkel package regression pierre meta missing more values ernst tree randomized taken instance louis extremely damien information with extra randomcommittee into generating forest learning machine requires weights classification geurts classifier trees account this
文件下载
文件名 操作
extraTrees-1.0.1.jar 下载
extraTrees-1.0.1.pom 下载
extraTrees-1.0.1-sources.jar 下载
Apache Maven 
<dependency>
  <groupId>nz.ac.waikato.cms.weka</groupId>
  <artifactId>extraTrees</artifactId>
  <version>1.0.1</version>
</dependency>
Gradle Groovy 
implementation 'nz.ac.waikato.cms.weka:extraTrees:1.0.1'
Gradle Kotlin 
implementation("nz.ac.waikato.cms.weka:extraTrees:1.0.1")
Scala SBT 
libraryDependencies += "nz.ac.waikato.cms.weka" % "extraTrees" % "1.0.1"
Groovy Grape 
@Grapes(
  @Grab(group='nz.ac.waikato.cms.weka', module='extraTrees', version='1.0.1')
)
Apache Ivy 
<dependency org="nz.ac.waikato.cms.weka" name="extraTrees" rev="1.0.1" />
Leiningen 
[nz.ac.waikato.cms.weka/extraTrees "1.0.1"]
Apache Buildr 
'nz.ac.waikato.cms.weka:extraTrees:jar:1.0.1'
本项目依赖 
<parent>
  <groupId>org.sonatype.oss</groupId>
  <artifactId>oss-parent</artifactId>
  <version>7</version>
</parent>

compile

|-- nz.ac.waikato.cms.weka:weka-dev

test

|-- nz.ac.waikato.cms.weka:weka-dev

|-- junit:junit:3.8.2