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

Implements Winnow and Balanced Winnow algorithms by Littlestone. For more information, see N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318; N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz. Does classification for problems with nominal attributes (which it converts into binary attributes)

Categories	Weka Business Logic Libraries Machine Learning
GroupId	nz.ac.waikato.cms.weka
ArtifactId	winnow
Version	1.0.1
Type	jar

Download winnow 1.0.1

Filename	Size
winnow-1.0.1.pom
winnow-1.0.1.jar	9 KB
winnow-1.0.1-tests.jar	4 KB
winnow-1.0.1-test-sources.jar	1 KB
winnow-1.0.1-sources.jar	5 KB
winnow-1.0.1-javadoc.jar	31 KB

Apache Maven

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/winnow/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>winnow</artifactId>
    <version>1.0.1</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/winnow/
implementation 'nz.ac.waikato.cms.weka:winnow:1.0.1'

Gradle Kotlin

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/winnow/
implementation ("nz.ac.waikato.cms.weka:winnow:1.0.1")

Apache Buildr

'nz.ac.waikato.cms.weka:winnow:jar:1.0.1'

Apache Ivy

<dependency org="nz.ac.waikato.cms.weka" name="winnow" rev="1.0.1">
  <artifact name="winnow" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='winnow', version='1.0.1')
)

Scala SBT

libraryDependencies += "nz.ac.waikato.cms.weka" % "winnow" % "1.0.1"

Leiningen

[nz.ac.waikato.cms.weka/winnow "1.0.1"]