/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
F. Herrera (herrera@decsai.ugr.es)
L. Sánchez (luciano@uniovi.es)
J. Alcalá-Fdez (jalcala@decsai.ugr.es)
S. García (sglopez@ujaen.es)
A. Fernández (alberto.fernandez@ujaen.es)
J. Luengo (julianlm@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
/**
* <p>
* @author Written by Cristobal Romero (Universidad de C�rdoba) 10/10/2007
* @version 0.1
* @since JDK 1.5
*</p>
*/
package keel.Algorithms.ImbalancedClassification.CSMethods.C45CS;
/**
* Class to manipulate an itemset.
*/
public class Itemset {
/** The dataset which the itemset has access to. */
protected Dataset dataset;
/** Values of the itemset. */
protected double[] values;
/** The weight of the itemset. */
protected double weight;
/** Constant that represents the missing value. */
protected final static double MISSING_VALUE = Double.NaN;
/** Constructor that copies the values and the weight.
*
* @param itemset The itemset to copy.
*/
public Itemset(Itemset itemset) {
values = itemset.values;
weight = itemset.weight;
dataset = null;
}
/** Constructor that sets the values and the weight.
*
* @param w The weight.
* @param attributeValues The values.
*/
public Itemset(double w, double[] attributeValues) {
values = attributeValues;
weight = w;
dataset = null;
}
/** Returns the index of the class attribute.
*
*/
public int classIndex() {
if (dataset == null) {
//throw new RuntimeException( "Itemset does not have access to a dataset." );
System.err.println("dataset in itemset is null");
return ( -1);
} else {
return dataset.getClassIndex();
}
}
/** Function to test if the class attribute is missing.
*
* @return True if the value of the class attribute is missing.
*/
public boolean classIsMissing() {
if (classIndex() < 0) {
throw new RuntimeException("Class is not set.");
} else {
return isMissing(classIndex());
}
}
/** Returns the index of the value of the class.
*
*/
public double getClassValue() {
if (classIndex() < 0) {
System.err.println("dataset in itemset is null");
return ( -1);
} else {
return getValue(classIndex());
}
}
/** Returns the number of class values.
*
*/
public int numClasses() {
if (dataset == null) {
System.err.println("dataset in itemset is null");
return ( -1);
} else {
return dataset.numClasses();
}
}
/** Returns the attribute with the given index.
*
*/
public Attribute getAttribute(int index) {
if (dataset == null) {
System.err.println("dataset in itemset is null");
return null;
} else {
return dataset.getAttribute(index);
}
}
/** Function to set a value.
*
* @param index The index of the attribute.
* @param value The value.
*/
public void setValue(int index, double value) {
double[] help = new double[values.length];
System.arraycopy(values, 0, help, 0, values.length);
values = help;
values[index] = value;
}
/** Returns the value of the given attribute.
*
*/
public double getValue(int index) {
return values[index];
}
/** Function to set the weight.
*
* @param w The weight.
*/
public final void setWeight(double w) {
weight = w;
}
/** Returns the itemset weight.
*
*/
public final double getWeight() {
return weight;
}
/** Returns the dataset of this itemset.
*
*/
public Dataset getDataset() {
return dataset;
}
/** Function to set the dataset.
*
* @param data The dataset.
*/
public final void setDataset(Dataset data) {
dataset = data;
}
/** Function to check if a value is missing.
*
* @param index The index of the attribute to check.
*
* @return True is the value of the attribute is missing. False otherwise.
*/
public boolean isMissing(int index) {
if (Double.isNaN(values[index])) {
return true;
} else {
return false;
}
}
/** Function to check if the value given is the missing value.
*
* @param val The value to check.
*
* @return True if the value given is the missing value. False otherwise.
*/
public static boolean isMissingValue(double val) {
return Double.isNaN(val);
}
/** Returns the missing value.
*
*/
public static double getMissingValue() {
return MISSING_VALUE;
}
/** Function to set as missing the class value.
*
*/
public void setClassMissing() {
if (classIndex() < 0) {
throw new RuntimeException("Class is not set.");
} else {
setMissing(classIndex());
}
}
/** Function to set a value as missing.
*
* @param index The index of the attribute.
*/
public final void setMissing(int index) {
setValue(index, MISSING_VALUE);
}
/** Function to copy an itemset.
*
* @return The itemset created.
*/
public Object copy() {
Itemset result = new Itemset(this);
result.dataset = dataset;
return result;
}
/** Function to print the itemset.
*
*/
public String toString() {
String result = "";
for (int i = 0; i < dataset.numAttributes(); i++) {
Attribute att = dataset.getAttribute(i);
if (att.isContinuous()) {
result += att.name() + "=" + values[i] + "\n";
} else {
result += att.name() + "=" + att.value((int) values[i]) + "\n";
}
}
return result;
}
}