leastMedSquared leastMedSquared

Parent	oss-parent
Group	nz.ac.waikato.cms.weka
描述	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.
Packaging	jar
Size	9.96 KB
文件	pom jar
网址	http://weka.sourceforge.net/doc.packages/leastMedSquared
发布时间	2012-04-24 08:21

dependencies

Group	Artifact	Version
nz.ac.waikato.cms.weka	weka-dev	[3.7.1,)
nz.ac.waikato.cms.weka	weka-dev	[3.7.1,)
junit	junit	3.8.2

developers

tv6

Tony Voyle

licenses

GNU General Public License 3

http://www.gnu.org/licenses/gpl-3.0.txt