Download leastMedSquared.jar - @nz.ac.waikato.cms.weka

leastMedSquared · 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.

Table Of Contents

Latest Version
All Versions
View Java Class Source Code in JAR file

Latest Version

Download nz.ac.waikato.cms.weka : leastMedSquared JAR file - Latest Versions:

Latest Stable: 1.0.2.jar

All Versions

Download nz.ac.waikato.cms.weka : leastMedSquared JAR file - All Versions:

Version	Vulnerabilities	Size	Updated
1.0.x	leastMedSquared-1.0.2.jar		9.96 KB	Apr 26, 2012
leastMedSquared-1.0.1.jar		9.96 KB	Apr 24, 2012

Version

Vulnerabilities

Size

Updated

1.0.x

leastMedSquared-1.0.2.jar

9.96 KB

Apr 26, 2012

leastMedSquared-1.0.1.jar

9.96 KB

Apr 24, 2012

View Java Class Source Code in JAR file

Download JD-GUI to open JAR file and explore Java source code file (.class .java)
Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window leastMedSquared-1.0.2.jar file.
Once you open a JAR file, all the java classes in the JAR file will be displayed.

weka.classifiers.functions

├─ weka.classifiers.functions.LeastMedSq.class - [JAR]

nz.ac.waikato.cms.weka : leastMedSquared

Maven & Gradle

Latest Version

All Versions

Download nz.ac.waikato.cms.weka : leastMedSquared JAR file - All Versions:

View Java Class Source Code in JAR file