keel.Algorithms.Preprocess.Missing_Values.svmImpute

Class svmImpute

java.lang.Object

keel.Algorithms.Preprocess.Missing_Values.svmImpute.svmImpute

public class svmImpute
extends java.lang.Object

This class imputes the missing values by means of the SVM regression. It transforms the current data set, so the missing value is the output attribute to be predicted, and all other are the input values used for the regression.

Constructor Summary

Constructors

Constructor and Description
svmImpute(java.lang.String fileParam) Creates a new instance of svmImpute

Method Summary

Modifier and Type	Method and Description
void	process() Process the training and test files provided in the parameters file to the constructor.

Methods inherited from class java.lang.Object

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

Constructor Detail

svmImpute

public svmImpute(java.lang.String fileParam)

Creates a new instance of svmImpute

Parameters:

fileParam - The path to the configuration file with all the parameters in KEEL format

Method Detail

process

public void process()

Process the training and test files provided in the parameters file to the constructor.