com.rapidminer.operator.learner.functions.kernel.rvm
Class Model

java.lang.Object
  com.rapidminer.operator.learner.functions.kernel.rvm.Model

All Implemented Interfaces:

java.io.Serializable

public class Model
extends java.lang.Object
implements java.io.Serializable

The lerned model.

Author:

Piotr Kasprzak, Ingo Mierswa

See Also:

Serialized Form

Constructor Summary

Model(double[] weights, KernelBasisFunction[] kernels, boolean bias, boolean regression)
Constructors

Method Summary

double[]	apply(double[][] inputVectors)
double	applyToVector(double[] vector) Model application.
double	calculate(double[] att)
int	getNumberOfRelevanceVectors()
double	getWeight(int index)
double	norm_l2(double[] vector)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Model

public Model(double[] weights,
             KernelBasisFunction[] kernels,
             boolean bias,
             boolean regression)

Constructors

Method Detail

getNumberOfRelevanceVectors

public int getNumberOfRelevanceVectors()

getWeight

public double getWeight(int index)

applyToVector

public double applyToVector(double[] vector)

Model application. Returns the function value, not a crisp prediction.

apply

public double[] apply(double[][] inputVectors)

norm_l2

public double norm_l2(double[] vector)

calculate

public double calculate(double[] att)