License |
License |
---|---|
Categories |
CategoriesWeka Business Logic Libraries Machine Learning |
GroupId | GroupIdnz.ac.waikato.cms.weka |
ArtifactId | ArtifactIditerativeAbsoluteErrorRegression |
Last Version | Last Version1.0.0 |
Release Date | Release Date |
Type | Typejar |
Description |
DescriptioniterativeAbsoluteErrorRegression
Provides a regression scheme that uses Schlossmacher's iteratively reweighted least squares method to fit a model that minimizes absolute error. The scheme can be used with any base learner in WEKA that performs least-squares regression
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Project URL |
Project URL |
Project Organization |
Project Organization |
Source Code Management |
Source Code Management |
<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/iterativeAbsoluteErrorRegression/ -->
<dependency>
<groupId>nz.ac.waikato.cms.weka</groupId>
<artifactId>iterativeAbsoluteErrorRegression</artifactId>
<version>1.0.0</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/iterativeAbsoluteErrorRegression/
implementation 'nz.ac.waikato.cms.weka:iterativeAbsoluteErrorRegression:1.0.0'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/iterativeAbsoluteErrorRegression/
implementation ("nz.ac.waikato.cms.weka:iterativeAbsoluteErrorRegression:1.0.0")
'nz.ac.waikato.cms.weka:iterativeAbsoluteErrorRegression:jar:1.0.0'
<dependency org="nz.ac.waikato.cms.weka" name="iterativeAbsoluteErrorRegression" rev="1.0.0">
<artifact name="iterativeAbsoluteErrorRegression" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='iterativeAbsoluteErrorRegression', version='1.0.0')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "iterativeAbsoluteErrorRegression" % "1.0.0"
[nz.ac.waikato.cms.weka/iterativeAbsoluteErrorRegression "1.0.0"]
Group / Artifact | Type | Version |
---|---|---|
nz.ac.waikato.cms.weka : weka-dev | jar | [3.7.1,) |
Group / Artifact | Type | Version |
---|---|---|
nz.ac.waikato.cms.weka : weka-dev | test-jar | [3.7.1,) |
junit : junit | jar | 3.8.2 |