Package org.biojava.stats.svm.tools

Tools for use of the SVM package.

This provides practical programs for using SVMs to classify or regress real data. It also contains graphical demonstrations to explain how SVM works.

Interface Summary

Interface	Description
SuffixTreeKernel.DepthScaler	Encapsulates the scale factor to apply at a given depth.

Class Summary

Class	Description
ClassifierExample	A simple toy example that allows you to put points on a canvas, and find a polynomial hyperplane to seperate them.
ClassifierExample.PointClassifier	An extention of JComponent that contains the points & encapsulates the classifier.
Classify
SuffixTreeKernel	Computes the dot-product of two suffix-trees as the sum of the products of the counts of all nodes they have in common.
SuffixTreeKernel.MultipleScalar	Scale using a multiple of two DepthScalers.
SuffixTreeKernel.NullModelScaler	Scales by 4^depth - equivalent to dividing by a probablistic flatt prior null model
SuffixTreeKernel.SelectionScalar	Scale using a BitSet to allow/disallow depths.
SuffixTreeKernel.UniformScaler	Scale all depths by 1.0
SVM_Light
SVM_Light.LabelledVector
Train
TrainRegression