paceRegression paceRegression

Parent	oss-parent
Group	nz.ac.waikato.cms.weka
描述	Class for building pace regression linear models and using them for prediction. Under regularity conditions, pace regression is provably optimal when the number of coefficients tends to infinity. It consists of a group of estimators that are either overall optimal or optimal under certain conditions. The current work of the pace regression theory, and therefore also this implementation, do not handle: - missing values - non-binary nominal attributes - the case that n - k is small where n is the number of instances and k is the number of coefficients (the threshold used in this implmentation is 20) For more information see: Wang, Y (2000). A new approach to fitting linear models in high dimensional spaces. Hamilton, New Zealand. Wang, Y., Witten, I. H.: Modeling for o
Packaging	jar
Size	36.71 KB
文件	pom jar
网址	http://weka.sourceforge.net/doc.packages/paceRegression
发布时间	2012-04-26 13:44

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

yongwang

Yong Wang

licenses

GNU General Public License 3

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