com.rapidminer.operator.learner.functions.kernel.gaussianprocess
Class Problem

java.lang.Object
  extended by com.rapidminer.operator.learner.functions.kernel.gaussianprocess.Problem
Direct Known Subclasses:
RegressionProblem

public abstract class Problem
extends java.lang.Object

Holds the data defining the regression / classification problem to be learned. - All input vectors are assumed to have the same dimension. - All target vectors are assumed to have the same dimension

Author:
Piotr Kasprzak

Field Summary
 double sigma_0_2
           
 
Constructor Summary
Problem(double[][] x, Kernel kernel)
          Constructor
 
Method Summary
 int getInputDimension()
           
 double[][] getInputVectors()
           
 Kernel getKernel()
           
 int getProblemSize()
          Getters
abstract  int getTargetDimension()
           
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

sigma_0_2

public double sigma_0_2
Constructor Detail

Problem

public Problem(double[][] x,
               Kernel kernel)
Constructor

Method Detail

getProblemSize

public int getProblemSize()
Getters


getInputDimension

public int getInputDimension()

getInputVectors

public double[][] getInputVectors()

getTargetDimension

public abstract int getTargetDimension()

getKernel

public Kernel getKernel()


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