oneClassClassifier

Performs one-class classification on a dataset. Classifier reduces the class being classified to just a single class, and learns the datawithout using any information from other classes. The testing stage will classify as 'target'or 'outlier' - so in order to calculate the outlier pass rate the dataset must contain informationfrom more than one class. Also, the output varies depending on whether the label 'outlier' exists in the instances usedto build the classifier. If so, then 'outlier' will be predicted, if not, then the label willbe considered missing when the prediction does not favour the target class. The 'outlier' classwill not be used to build the model if there are instances of this class in the dataset. It cansimply be used as a flag, you do not need to relabel any classes. For more information, see: Kathryn Hempstalk, Eibe Frank, Ian H. Witten: One-Class Classification by Combining Density and Class Probability Estimation. In: Proceedings of the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases and 19th European Conference on Machine Learning, ECMLPKDD2008, Berlin, 505--519, 2008.

Лицензия

Лицензия

Категории

Категории

Weka Прикладные библиотеки Machine Learning
Группа

Группа

nz.ac.waikato.cms.weka
Идентификатор

Идентификатор

oneClassClassifier
Последняя версия

Последняя версия

1.0.4
Дата

Дата

Тип

Тип

jar
Описание

Описание

oneClassClassifier
Performs one-class classification on a dataset. Classifier reduces the class being classified to just a single class, and learns the datawithout using any information from other classes. The testing stage will classify as 'target'or 'outlier' - so in order to calculate the outlier pass rate the dataset must contain informationfrom more than one class. Also, the output varies depending on whether the label 'outlier' exists in the instances usedto build the classifier. If so, then 'outlier' will be predicted, if not, then the label willbe considered missing when the prediction does not favour the target class. The 'outlier' classwill not be used to build the model if there are instances of this class in the dataset. It cansimply be used as a flag, you do not need to relabel any classes. For more information, see: Kathryn Hempstalk, Eibe Frank, Ian H. Witten: One-Class Classification by Combining Density and Class Probability Estimation. In: Proceedings of the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases and 19th European Conference on Machine Learning, ECMLPKDD2008, Berlin, 505--519, 2008.
Ссылка на сайт

Ссылка на сайт

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

Организация-разработчик

University of Waikato, Hamilton, NZ
Система контроля версий

Система контроля версий

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

Скачать oneClassClassifier

Как подключить последнюю версию

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/oneClassClassifier/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>oneClassClassifier</artifactId>
    <version>1.0.4</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/oneClassClassifier/
implementation 'nz.ac.waikato.cms.weka:oneClassClassifier:1.0.4'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/oneClassClassifier/
implementation ("nz.ac.waikato.cms.weka:oneClassClassifier:1.0.4")
'nz.ac.waikato.cms.weka:oneClassClassifier:jar:1.0.4'
<dependency org="nz.ac.waikato.cms.weka" name="oneClassClassifier" rev="1.0.4">
  <artifact name="oneClassClassifier" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='oneClassClassifier', version='1.0.4')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "oneClassClassifier" % "1.0.4"
[nz.ac.waikato.cms.weka/oneClassClassifier "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
1.0.3
1.0.2