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## Package org.biojava.stats.svm.tools

Tools for use of the SVM package.

See:
Description

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

Class Summary
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 |

## Package org.biojava.stats.svm.tools Description

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.

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