Uses of Class
com.imsl.datamining.supportvectormachine.SVModel

Packages that use SVModel

Package	Description
com.imsl.datamining.supportvectormachine	Support vector machines.

Uses of SVModel in com.imsl.datamining.supportvectormachine

Methods in com.imsl.datamining.supportvectormachine that return SVModel

Modifier and Type	Method and Description
protected SVModel	SupportVectorMachine.getModel() Returns the model object.
protected SVModel	SVOneClass.optimize(DataNode[][] x, double[] y, double[] w, int len, Kernel kernel) Performs the one class support vector machine optimization problem.
protected SVModel	SVClassification.optimize(DataNode[][] x, double[] y, double[] w, int len, Kernel kernel) Performs the classification support vector machine optimization problem.
protected abstract SVModel	SupportVectorMachine.optimize(DataNode[][] x, double[] y, double[] w, int len, Kernel kernel) Abstract method to perform the support vector machine optimization.
protected SVModel	SVRegression.optimize(DataNode[][] x, double[] y, double[] w, int len, Kernel kernel) Performs the regression support vector machine optimization problem.

Methods in com.imsl.datamining.supportvectormachine with parameters of type SVModel

Modifier and Type	Method and Description
protected double[]	SVOneClass.predictValues(SVModel model, double[][] attributeData) Generates the predicted values on the attribute data using the given support vector machine model.
protected double[]	SVClassification.predictValues(SVModel model, double[][] attributeData) Generates the predicted values on the attribute data using the given support vector machine model.
protected abstract double[]	SupportVectorMachine.predictValues(SVModel model, double[][] attributeData) Abstract method for generating the predicted values using the fitted support vector machine model.
protected double[]	SVRegression.predictValues(SVModel model, double[][] attributeData) Generates the predicted values on the attribute data using the given support vector machine model.