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

This package provides two meta attribute selection evaluators that can apply an arbitrary filter to the input data before executing the actual attribute selection scheme. One filters data and then passes it to an attribute evaluator (FilteredAttributeEval), and the other filters data and then passes it to a subset evaluator (FilteredSubsetEval).

Categories

Categories

Weka Business Logic Libraries Machine Learning
GroupId

GroupId

nz.ac.waikato.cms.weka
ArtifactId

ArtifactId

filteredAttributeSelection
Version

Version

1.0.1
Type

Type

jar

Download filteredAttributeSelection 1.0.1

Filename Size
filteredAttributeSelection-1.0.1.pom
filteredAttributeSelection-1.0.1.jar 11 KB
filteredAttributeSelection-1.0.1-tests.jar 5 KB
filteredAttributeSelection-1.0.1-test-sources.jar 2 KB
filteredAttributeSelection-1.0.1-sources.jar 7 KB
filteredAttributeSelection-1.0.1-javadoc.jar 34 KB
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<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/filteredAttributeSelection/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>filteredAttributeSelection</artifactId>
    <version>1.0.1</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/filteredAttributeSelection/
implementation 'nz.ac.waikato.cms.weka:filteredAttributeSelection:1.0.1'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/filteredAttributeSelection/
implementation ("nz.ac.waikato.cms.weka:filteredAttributeSelection:1.0.1")
'nz.ac.waikato.cms.weka:filteredAttributeSelection:jar:1.0.1'
<dependency org="nz.ac.waikato.cms.weka" name="filteredAttributeSelection" rev="1.0.1">
  <artifact name="filteredAttributeSelection" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='filteredAttributeSelection', version='1.0.1')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "filteredAttributeSelection" % "1.0.1"
[nz.ac.waikato.cms.weka/filteredAttributeSelection "1.0.1"]