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

This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the supplied base classifier. Predictions are made via majority vote, since all the generated base classifiers are put into the Vote meta classifier. Useful for base classifiers that are quadratic or worse in time behavior, regarding number of instances in the training data. For more information, see: Ting, K. M., Witten, I. H.: Stacking Bagged and Dagged Models. In: Fourteenth international Conference on Machine Learning, San Francisco, CA, 367-375, 1997.

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

Download dagging 1.0.2

Filename	Size
dagging-1.0.2.pom
dagging-1.0.2.jar	7 KB
dagging-1.0.2-tests.jar	4 KB
dagging-1.0.2-test-sources.jar	1 KB
dagging-1.0.2-sources.jar	5 KB
dagging-1.0.2-javadoc.jar	29 KB

Apache Maven

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

Gradle Groovy

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

Gradle Kotlin

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

Apache Buildr

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

Apache Ivy

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

Groovy Grape

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

Scala SBT

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

Leiningen

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