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supervisedAttributeScaling

Package containing a class that rescales the attributes in a classification problem based on their discriminative power. This is useful as a pre-processing step for learning algorithms such as the k-nearest-neighbour method, to replace simple normalization. Each attribute is rescaled by multiplying it with a learned weight. All attributes excluding the class are assumed to be numeric and missing values are not permitted. To achieve the rescaling, this package also contains an implementation of non-negative logistic regression, which produces a logistic regression model with non-negative weights .
http://weka.sourceforge.net/doc.packages/supervisedAttributeScaling
GNU General Public License 3
University of Waikato, Hamilton, NZ
Eibe Frank
Files download
File Operation
supervisedAttributeScaling-1.0.2.jar download
supervisedAttributeScaling-1.0.2.pom download
supervisedAttributeScaling-1.0.2-sources.jar download
Apache Maven
<dependency>
  <groupId>nz.ac.waikato.cms.weka</groupId>
  <artifactId>supervisedAttributeScaling</artifactId>
  <version>1.0.2</version>
</dependency>
Gradle Groovy
implementation 'nz.ac.waikato.cms.weka:supervisedAttributeScaling:1.0.2'
Gradle Kotlin
implementation("nz.ac.waikato.cms.weka:supervisedAttributeScaling:1.0.2")
Scala SBT
libraryDependencies += "nz.ac.waikato.cms.weka" % "supervisedAttributeScaling" % "1.0.2"
Groovy Grape
@Grapes(
  @Grab(group='nz.ac.waikato.cms.weka', module='supervisedAttributeScaling', version='1.0.2')
)
Apache Ivy
<dependency org="nz.ac.waikato.cms.weka" name="supervisedAttributeScaling" rev="1.0.2" />
Leiningen
[nz.ac.waikato.cms.weka/supervisedAttributeScaling "1.0.2"]
Apache Buildr
'nz.ac.waikato.cms.weka:supervisedAttributeScaling:jar:1.0.2'