keel.Algorithms.Subgroup_Discovery.CN2SD

Class CN2SD

java.lang.Object

keel.Algorithms.Subgroup_Discovery.CN2SD.CN2SD

public class CN2SD
extends java.lang.Object

Title: CN2SD

Description: Contents the principal methods of the CN2SD algorithm

Version:

1.0

Author:

Alberto Fernández

Constructor Summary

Constructors

Constructor and Description
CN2SD(java.lang.String ftrain, java.lang.String feval, java.lang.String ftest, java.lang.String fSalidaTr, java.lang.String fSalidaTst, java.lang.String fsal, int tamEstrella, double _nu, double _seCubre, int _multi, int _eficacia) Parameter constructor.

Method Summary

Modifier and Type	Method and Description
void	ejecutar() Executes the algorithm
boolean	todoBien()

Methods inherited from class java.lang.Object

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

Constructor Detail

CN2SD

public CN2SD(java.lang.String ftrain,
             java.lang.String feval,
             java.lang.String ftest,
             java.lang.String fSalidaTr,
             java.lang.String fSalidaTst,
             java.lang.String fsal,
             int tamEstrella,
             double _nu,
             double _seCubre,
             int _multi,
             int _eficacia)

Parameter constructor. Constructs a instance of the CN2 algorithm by copying the configuration parameters given.

Parameters:

ftrain - Training dataset filename

feval - Validation dataset filename.

ftest - Test dataset filename.

fSalidaTr - Training output filename.

fSalidaTst - Test output filename.

fsal - Global output filename.

tamEstrella - maximum size of the star for the beam search.

_nu - nu parameter for multiplication weight.

_seCubre - minimum percentage of examples of a class to consider it as covered.

_multi - type of weight update (1 multiplication, 0 summation).

_eficacia - flag effective of efficient.

Method Detail

todoBien

public boolean todoBien()

ejecutar

public void ejecutar()

Executes the algorithm