License |
License |
---|---|
Categories |
CategoriesWeka Business Logic Libraries Machine Learning Square Financial |
GroupId | GroupIdnz.ac.waikato.cms.weka |
ArtifactId | ArtifactIdleastMedSquared |
Version | Version1.0.2 |
Type | Typejar |
Description |
DescriptionleastMedSquared
Implements a least median squared linear regression utilizing the existing weka LinearRegression class to form predictions. Least squared regression functions are generated from random subsamples of the data. The least squared regression with the lowest meadian squared error is chosen as the final model.
The basis of the algorithm is
Peter J. Rousseeuw, Annick M. Leroy (1987). Robust regression and outlier detection.
|
Project URL |
Project URL |
Project Organization |
Project Organization |
<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/leastMedSquared/ -->
<dependency>
<groupId>nz.ac.waikato.cms.weka</groupId>
<artifactId>leastMedSquared</artifactId>
<version>1.0.2</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/leastMedSquared/
implementation 'nz.ac.waikato.cms.weka:leastMedSquared:1.0.2'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/leastMedSquared/
implementation ("nz.ac.waikato.cms.weka:leastMedSquared:1.0.2")
'nz.ac.waikato.cms.weka:leastMedSquared:jar:1.0.2'
<dependency org="nz.ac.waikato.cms.weka" name="leastMedSquared" rev="1.0.2">
<artifact name="leastMedSquared" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='leastMedSquared', version='1.0.2')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "leastMedSquared" % "1.0.2"
[nz.ac.waikato.cms.weka/leastMedSquared "1.0.2"]
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 |