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lazyBayesianRules

Lazy Bayesian Rules Classifier. The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. Lazy Bayesian Rules selectively relaxes the independence assumption, achieving lower error rates over a range of learning tasks. LBR defers processing to classification time, making it a highly efficient and accurate classification algorithm when small numbers of objects are to be classified. For more information, see: Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.
http://weka.sourceforge.net/doc.packages/lazyBayesianRules
GNU General Public License 3
University of Waikato, Hamilton, NZ
Zhihai Wang
文件下载
文件名 操作
lazyBayesianRules-1.0.2.jar 下载
lazyBayesianRules-1.0.2.pom 下载
lazyBayesianRules-1.0.2-sources.jar 下载
Apache Maven
<dependency>
  <groupId>nz.ac.waikato.cms.weka</groupId>
  <artifactId>lazyBayesianRules</artifactId>
  <version>1.0.2</version>
</dependency>
Gradle Groovy
implementation 'nz.ac.waikato.cms.weka:lazyBayesianRules:1.0.2'
Gradle Kotlin
implementation("nz.ac.waikato.cms.weka:lazyBayesianRules:1.0.2")
Scala SBT
libraryDependencies += "nz.ac.waikato.cms.weka" % "lazyBayesianRules" % "1.0.2"
Groovy Grape
@Grapes(
  @Grab(group='nz.ac.waikato.cms.weka', module='lazyBayesianRules', version='1.0.2')
)
Apache Ivy
<dependency org="nz.ac.waikato.cms.weka" name="lazyBayesianRules" rev="1.0.2" />
Leiningen
[nz.ac.waikato.cms.weka/lazyBayesianRules "1.0.2"]
Apache Buildr
'nz.ac.waikato.cms.weka:lazyBayesianRules:jar:1.0.2'