kernelLogisticRegression kernelLogisticRegression

Parent	oss-parent
Group	nz.ac.waikato.cms.weka
描述	This package contains a classifier that can be used to train a two-class kernel logistic regression model with the kernel functions that are available in WEKA. It optimises the negative log-likelihood with a quadratic penalty. Both, BFGS and conjugate gradient descent, are available as optimisation methods, but the former is normally faster. It is possible to use multiple threads, but the speed-up is generally very marginal when used with BFGS optimisation. With conjugate gradient descent optimisation, greater speed-ups can be achieved when using multiple threads. With the default kernel, the dot product kernel, this method produces results that are close to identical to those obtained using standard logistic regression in WEKA, provided a sufficiently large value for the parameter determ
Packaging	jar
Size	16.54 KB
文件	pom jar
网址	http://weka.sourceforge.net/doc.packages/kernelLogisticRegression
发布时间	2013-06-26 11:42

dependencies

Group	Artifact	Version
nz.ac.waikato.cms.weka	weka-dev	[3.7.6,)
nz.ac.waikato.cms.weka	weka-dev	[3.7.6,)
junit	junit	3.8.2

developers

eibe

Eibe Frank

licenses

GNU General Public License 3

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