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The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This is the stable version. Apart from bugfixes, this version
does not receive any other updates.
/*
* 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 2 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, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
/**
* KStarCache.java
* Copyright (C) 1995 University of Waikato
* Java port to Weka by Abdelaziz Mahoui ([email protected]).
*
*/
package weka.classifiers.lazy.kstar;
import weka.core.RevisionHandler;
import weka.core.RevisionUtils;
import java.io.Serializable;
/**
* A class representing the caching system used to keep track of each attribute
* value and its corresponding scale factor or stop parameter.
*
* @author Len Trigg ([email protected])
* @author Abdelaziz Mahoui ([email protected])
* @version $Revision: 1.11 $
*/
public class KStarCache
implements Serializable, RevisionHandler {
/** for serialization */
private static final long serialVersionUID = -7693632394267140678L;
/**
* cache table
*/
CacheTable m_Cache = new CacheTable();
/**
* Stores the specified values in the cahce table for easy retrieval.
*
* @param key attribute value used key to lookup the cache table.
* @param value cache parameter: attribute scale/stop parameter.
* @param pmiss cache parameter: transformation probability to
* attribute with missing value.
*/
public void store(double key, double value, double pmiss) {
if ( !m_Cache.containsKey(key) ) {
m_Cache.insert(key, value, pmiss);
}
}
/**
* Checks if the specified key maps with an entry in the cache table
*
* @param key the key to map with an entry in the hashtable.
*/
public boolean containsKey(double key) {
if ( m_Cache.containsKey(key) ) {
return true;
}
return false;
}
/**
* Returns the values in the cache mapped by the specified key
*
* @param key the key used to retrieve the table entry.
*/
public TableEntry getCacheValues( double key ) {
if ( m_Cache.containsKey(key) ) {
return m_Cache.getEntry(key);
}
return null;
}
/**
* A custom hashtable class to support the caching system.
*
*/
public class CacheTable
implements Serializable, RevisionHandler {
/** for serialization */
private static final long serialVersionUID = -8086106452588253423L;
/** The hash table data. */
private TableEntry [] m_Table;
/** The total number of entries in the hash table. */
private int m_Count;
/** Rehashes the table when count exceeds this threshold. */
private int m_Threshold;
/** The load factor for the hashtable. */
private float m_LoadFactor;
/** The default size of the hashtable */
private final int DEFAULT_TABLE_SIZE = 101;
/** The default load factor for the hashtable */
private final float DEFAULT_LOAD_FACTOR = 0.75f;
// private final float DEFAULT_LOAD_FACTOR = 0.5f;
/** Accuracy value for equality */
private final double EPSILON = 1.0E-5;
/**
* Constructs a new hashtable with a default capacity and load factor.
*/
public CacheTable(int size, float loadFactor) {
m_Table = new TableEntry[size];
m_LoadFactor = loadFactor;
m_Threshold = (int)(size * loadFactor);
m_Count = 0;
}
/**
* Constructs a new hashtable with a default capacity and load factor.
*/
public CacheTable() {
this(101, 0.75f);
}
/**
* Tests if the specified double is a key in this hashtable.
*/
public boolean containsKey(double key) {
TableEntry [] table = m_Table;
int hash = hashCode(key);
int index = (hash & 0x7FFFFFFF) % table.length;
for (TableEntry e = table[index] ; e != null ; e = e.next) {
if ((e.hash == hash) && (Math.abs(e.key - key) < EPSILON)) {
return true;
}
}
return false;
}
/**
* Inserts a new entry in the hashtable using the specified key.
* If the key already exist in the hashtable, do nothing.
*/
public void insert(double key, double value, double pmiss) {
// Makes sure the key is not already in the hashtable.
TableEntry e, ne;
TableEntry [] table = m_Table;
int hash = hashCode(key);
int index = (hash & 0x7FFFFFFF) % table.length;
// start looking along the chain
for (e = table[index] ; e != null ; e = e.next) {
if ((e.hash == hash) && (Math.abs(e.key - key) < EPSILON)) {
return;
}
}
// At this point, key is not in table.
// Creates a new entry.
ne = new TableEntry( hash, key, value, pmiss, table[index] );
// Put entry at the head of the chain.
table[index] = ne;
m_Count++;
// Rehash the table if the threshold is exceeded
if (m_Count >= m_Threshold) {
rehash();
}
}
/**
* Returns the table entry to which the specified key is mapped in
* this hashtable.
* @return a table entry.
*/
public TableEntry getEntry(double key) {
TableEntry [] table = m_Table;
int hash = hashCode(key);
int index = (hash & 0x7FFFFFFF) % table.length;
for (TableEntry e = table[index] ; e != null ; e = e.next) {
if ((e.hash == hash) && (Math.abs(e.key - key) < EPSILON)) {
return e;
}
}
return null;
}
/**
* Returns the number of keys in this hashtable.
* @return the number of keys in this hashtable.
*/
public int size() {
return m_Count;
}
/**
* Tests if this hashtable maps no keys to values.
* @return true if this hastable maps no keys to values.
*/
public boolean isEmpty() {
return m_Count == 0;
}
/**
* Clears this hashtable so that it contains no keys.
*/
public void clear() {
TableEntry table[] = m_Table;
for (int index = table.length; --index >= 0; ) {
table[index] = null;
}
m_Count = 0;
}
/**
* Rehashes the contents of the hashtable into a hashtable with a
* larger capacity. This method is called automatically when the
* number of keys in the hashtable exceeds this hashtable's capacity
* and load factor.
*/
private void rehash() {
int oldCapacity = m_Table.length;
TableEntry [] oldTable = m_Table;
int newCapacity = oldCapacity * 2 + 1;
TableEntry [] newTable = new TableEntry[newCapacity];
m_Threshold = (int)(newCapacity * m_LoadFactor);
m_Table = newTable;
TableEntry e, old;
for (int i = oldCapacity ; i-- > 0 ;) {
for (old = oldTable[i] ; old != null ; ) {
e = old;
old = old.next;
int index = (e.hash & 0x7FFFFFFF) % newCapacity;
e.next = newTable[index];
newTable[index] = e;
}
}
}
/**
* Returns the hash code of the specified double.
* @return the hash code of the specified double.
*/
private int hashCode(double key) {
long bits = Double.doubleToLongBits(key);
return (int)(bits ^ (bits >> 32));
}
/**
* Returns the revision string.
*
* @return the revision
*/
public String getRevision() {
return RevisionUtils.extract("$Revision: 1.11 $");
}
} // CacheTable
/**
* Hashtable collision list.
*/
public class TableEntry
implements Serializable, RevisionHandler {
/** for serialization */
private static final long serialVersionUID = 4057602386766259138L;
/** attribute value hash code */
public int hash;
/** attribute value */
public double key;
/** scale factor or stop parameter */
public double value;
/** transformation probability to missing value */
public double pmiss;
/** next table entry (separate chaining) */
public TableEntry next = null;
/** Constructor */
public TableEntry(int hash, double key, double value,
double pmiss, TableEntry next) {
this.hash = hash;
this.key = key;
this.value = value;
this.pmiss = pmiss;
this.next = next;
}
/**
* Returns the revision string.
*
* @return the revision
*/
public String getRevision() {
return RevisionUtils.extract("$Revision: 1.11 $");
}
} // TableEntry
/**
* Returns the revision string.
*
* @return the revision
*/
public String getRevision() {
return RevisionUtils.extract("$Revision: 1.11 $");
}
} // Cache
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