keel.Algorithms.Preprocess.NoiseFilters.ClassificationFilter

Class Parameters

java.lang.Object

keel.Algorithms.Preprocess.NoiseFilters.ClassificationFilter.Parameters

public class Parameters
extends java.lang.Object

Main class to parse the parameters of the algorithm

Since:

JDK1.6

Version:

1.0

Author:

Written by Jose A. Saez Munoz, research group SCI2S (Soft Computing and Intelligent Information Systems). DECSAI (DEpartment of Computer Science and Artificial Intelligence), University of Granada - Spain. Date: 06/01/10

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	algorithmName Algorithm name.
static java.lang.String	classifier Classifier used (knn or c45).
static double	confidence Confidence value for prune purposes.
static java.lang.String	distanceType Distance used.
static int	itemsetsPerLeaf Minimun items per leaf.
static java.lang.String	logOutputFile Log information output file.
static int	numAttributes Number of attributes.
static int	numClasses Number of classes.
static int	numInstances Number of instances.
static int	numNeighbors Number of nearest neighbours considered.
static int	numPartitions Number of partitions.
static boolean	prune Prune flag (True, prune method will be executed).
static long	seed Seed for random purposes.
static java.lang.String	testInputFile Original Test data filename.
static java.lang.String	testOutputFile Modified Training data filename.
static java.lang.String	trainInputFile Original Training data filename.
static java.lang.String	trainOutputFile Modified Training data filename.

Constructor Summary

Constructors

Constructor and Description
Parameters()

Method Summary

Modifier and Type	Method and Description
static void	doParse(java.lang.String fileName) It parses the parameters of the algorithm

Methods inherited from class java.lang.Object

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

Field Detail

algorithmName

public static java.lang.String algorithmName

Algorithm name.

trainInputFile

public static java.lang.String trainInputFile

Original Training data filename.

testInputFile

public static java.lang.String testInputFile

Original Test data filename.

trainOutputFile

public static java.lang.String trainOutputFile

Modified Training data filename.

testOutputFile

public static java.lang.String testOutputFile

Modified Training data filename.

logOutputFile

public static java.lang.String logOutputFile

Log information output file.

numClasses

public static int numClasses

Number of classes.

numAttributes

public static int numAttributes

Number of attributes.

numInstances

public static int numInstances

Number of instances.

seed

public static long seed

Seed for random purposes.

numPartitions

public static int numPartitions

Number of partitions.

classifier

public static java.lang.String classifier

Classifier used (knn or c45).

numNeighbors

public static int numNeighbors

Number of nearest neighbours considered.

distanceType

public static java.lang.String distanceType

Distance used.

prune

public static boolean prune

Prune flag (True, prune method will be executed).

confidence

public static double confidence

Confidence value for prune purposes.

itemsetsPerLeaf

public static int itemsetsPerLeaf

Minimun items per leaf.

Constructor Detail

Parameters

public Parameters()

Method Detail

doParse

public static void doParse(java.lang.String fileName)

It parses the parameters of the algorithm

Parameters:

fileName - the configuration file name