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

Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al. (2007). This implementation globally replaces all missing values and transforms nominal attributes into binary ones. It also normalizes all attributes, so the coefficients in the output are based on the normalized data. Can either minimize the hinge loss (SVM) or log loss (logistic regression). For more information, see S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.

Категории

Категории

Weka Прикладные библиотеки Machine Learning
Группа

Группа

nz.ac.waikato.cms.weka
Идентификатор

Идентификатор

SPegasos
Версия

Версия

1.0.1
Тип

Тип

jar

Скачать SPegasos 1.0.1

Имя Файла Размер
SPegasos-1.0.1.pom
SPegasos-1.0.1.jar 10 KB
SPegasos-1.0.1-tests.jar 4 KB
SPegasos-1.0.1-test-sources.jar 1 KB
SPegasos-1.0.1-sources.jar 6 KB
SPegasos-1.0.1-javadoc.jar 31 KB
Обзор 

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