conjunctiveRule

This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels. A rule consists of antecedents "AND"ed together and the consequent (class value) for the classification/regression. In this case, the consequent is the distribution of the available classes (or mean for a numeric value) in the dataset. If the test instance is not covered by this rule, then it's predicted using the default class distributions/value of the data not covered by the rule in the training data.This learner selects an antecedent by computing the Information Gain of each antecendent and prunes the generated rule using Reduced Error Prunning (REP) or simple pre-pruning based on the number of antecedents. For classification, the Information of one antecedent is the weighted average of the entropies of both the data covered and not covered by the rule. For regression, the Information is the weighted average of the mean-squared errors of both the data covered and not covered by the rule. In pruning, weighted average of the accuracy rates on the pruning data is used for classification while the weighted average of the mean-squared errors on the pruning data is used for regression.

Лицензия

Лицензия

Категории

Категории

Weka Прикладные библиотеки Machine Learning
Группа

Группа

nz.ac.waikato.cms.weka
Идентификатор

Идентификатор

conjunctiveRule
Последняя версия

Последняя версия

1.0.4
Дата

Дата

Тип

Тип

jar
Описание

Описание

conjunctiveRule
This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels. A rule consists of antecedents "AND"ed together and the consequent (class value) for the classification/regression. In this case, the consequent is the distribution of the available classes (or mean for a numeric value) in the dataset. If the test instance is not covered by this rule, then it's predicted using the default class distributions/value of the data not covered by the rule in the training data.This learner selects an antecedent by computing the Information Gain of each antecendent and prunes the generated rule using Reduced Error Prunning (REP) or simple pre-pruning based on the number of antecedents. For classification, the Information of one antecedent is the weighted average of the entropies of both the data covered and not covered by the rule. For regression, the Information is the weighted average of the mean-squared errors of both the data covered and not covered by the rule. In pruning, weighted average of the accuracy rates on the pruning data is used for classification while the weighted average of the mean-squared errors on the pruning data is used for regression.
Ссылка на сайт

Ссылка на сайт

http://weka.sourceforge.net/doc.packages/conjunctiveRule
Организация-разработчик

Организация-разработчик

University of Waikato, Hamilton, NZ
Система контроля версий

Система контроля версий

https://svn.cms.waikato.ac.nz/svn/weka/tags/conjunctiveRule-1.0.4

Скачать conjunctiveRule

Как подключить последнюю версию

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/conjunctiveRule/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>conjunctiveRule</artifactId>
    <version>1.0.4</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/conjunctiveRule/
implementation 'nz.ac.waikato.cms.weka:conjunctiveRule:1.0.4'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/conjunctiveRule/
implementation ("nz.ac.waikato.cms.weka:conjunctiveRule:1.0.4")
'nz.ac.waikato.cms.weka:conjunctiveRule:jar:1.0.4'
<dependency org="nz.ac.waikato.cms.weka" name="conjunctiveRule" rev="1.0.4">
  <artifact name="conjunctiveRule" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='conjunctiveRule', version='1.0.4')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "conjunctiveRule" % "1.0.4"
[nz.ac.waikato.cms.weka/conjunctiveRule "1.0.4"]

Зависимости

compile (1)

Идентификатор библиотеки Тип Версия
nz.ac.waikato.cms.weka : weka-dev jar [3.7.1,)

test (2)

Идентификатор библиотеки Тип Версия
nz.ac.waikato.cms.weka : weka-dev test-jar [3.7.1,)
junit : junit jar 3.8.2

Модули Проекта

Данный проект не имеет модулей.

Версии библиотеки

Версия
1.0.4
1.0.2
1.0.1