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nz.ac.waikato.cms.weka:bayesianLogisticRegression 1.0.1

Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D. Lewis, David Madigan (2004). Large-scale bayesian logistic regression for text categorization.

Категории

Категории

Weka Прикладные библиотеки Machine Learning
Группа

Группа

nz.ac.waikato.cms.weka
Идентификатор

Идентификатор

bayesianLogisticRegression
Версия

Версия

1.0.1
Тип

Тип

jar

Скачать bayesianLogisticRegression 1.0.1

Имя Файла Размер
bayesianLogisticRegression-1.0.1.pom
bayesianLogisticRegression-1.0.1.jar 18 KB
bayesianLogisticRegression-1.0.1-tests.jar 4 KB
bayesianLogisticRegression-1.0.1-test-sources.jar 1 KB
bayesianLogisticRegression-1.0.1-sources.jar 14 KB
bayesianLogisticRegression-1.0.1-javadoc.jar 60 KB
Обзор 

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/bayesianLogisticRegression/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>bayesianLogisticRegression</artifactId>
    <version>1.0.1</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/bayesianLogisticRegression/
implementation 'nz.ac.waikato.cms.weka:bayesianLogisticRegression:1.0.1'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/bayesianLogisticRegression/
implementation ("nz.ac.waikato.cms.weka:bayesianLogisticRegression:1.0.1")
'nz.ac.waikato.cms.weka:bayesianLogisticRegression:jar:1.0.1'
<dependency org="nz.ac.waikato.cms.weka" name="bayesianLogisticRegression" rev="1.0.1">
  <artifact name="bayesianLogisticRegression" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='bayesianLogisticRegression', version='1.0.1')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "bayesianLogisticRegression" % "1.0.1"
[nz.ac.waikato.cms.weka/bayesianLogisticRegression "1.0.1"]