📄 rule.java
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/* * 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. *//* * Rule.java * Copyright (C) 2003 Peter A. Flach, Nicolas Lachiche * * Thanks to Amelie Deltour for porting the original C code to Java * and integrating it into Weka. */package weka.associations.tertius;import weka.core.Instances;import weka.core.Instance;import java.util.Enumeration;import java.util.ListIterator;import java.util.LinkedList;import java.util.ArrayList;import java.util.Comparator;import java.io.Serializable;import java.text.DecimalFormat;/** * Class representing a rule with a body and a head. * * @author <a href="mailto:adeltour@netcourrier.com">Amelie Deltour</a> * @version $Revision: 1.5 $ */public class Rule implements Serializable, Cloneable { /** The body of the rule. */ private Body m_body; /** The head of the rule. */ private Head m_head; /** Can repeat predicates in the rule ? */ private boolean m_repeatPredicate; /** Maximal number of literals in the rule. */ private int m_maxLiterals; /** Can there be negations in the body ? */ private boolean m_negBody; /** Can there be negations in the head ? */ private boolean m_negHead; /** Is this rule a classification rule ? */ private boolean m_classRule; /** Can there be only one literal in the head ? */ private boolean m_singleHead; /** Number of instances in the data this rule deals with. */ private int m_numInstances; /** Set of counter-instances of this rule. */ private ArrayList m_counterInstances; /** Counter for the counter-instances of this rule. */ private int m_counter; /** Confirmation of this rule. */ private double m_confirmation; /** Optimistic estimate of this rule. */ private double m_optimistic; /** * Constructor for a rule when the counter-instances are not stored, * giving all the constraints applied to this rule. * * @param repeatPredicate True if predicates can be repeated. * @param maxLiterals Maximum number of literals. * @param negBody True if negation is allowed in the body. * @param negHead True if negation is allowed in the head. * @param classRule True if the rule is a classification rule. * @param horn True if the rule is a horn clause. */ public Rule(boolean repeatPredicate, int maxLiterals, boolean negBody, boolean negHead, boolean classRule, boolean horn) { m_body = new Body(); m_head = new Head(); m_repeatPredicate = repeatPredicate; m_maxLiterals = maxLiterals; m_negBody = negBody && !horn; m_negHead = negHead && !horn; m_classRule = classRule; m_singleHead = classRule || horn; } /** * Constructor for a rule when the counter-instances are stored, * giving all the constraints applied to this rule. * The counter-instances are initialized to all the instances in the dataset. * * @param instances The dataset. * @param repeatPredicate True if predicates can be repeated. * @param maxLiterals Maximum number of literals. * @param negBody True if negation is allowed in the body. * @param negHead True if negation is allowed in the head. * @param classRule True if the rule is a classification rule. * @param horn True if the rule is a horn clause. */ public Rule(Instances instances, boolean repeatPredicate, int maxLiterals, boolean negBody, boolean negHead, boolean classRule, boolean horn) { m_body = new Body(instances); m_head = new Head(instances); m_repeatPredicate = repeatPredicate; m_maxLiterals = maxLiterals; m_negBody = negBody && !horn; m_negHead = negHead && !horn; m_classRule = classRule; m_singleHead = classRule || horn; m_numInstances = instances.numInstances(); m_counterInstances = new ArrayList(m_numInstances); Enumeration enu = instances.enumerateInstances(); while (enu.hasMoreElements()) { m_counterInstances.add(enu.nextElement()); } } /** * Returns a shallow copy of this rule. * The structured is copied but the literals themselves are not copied. * * @return A copy of this Rule. */ public Object clone() { Object result = null; try { result = super.clone(); /* Clone the body and the head. */ ((Rule) result).m_body = (Body) m_body.clone(); ((Rule) result).m_head = (Head) m_head.clone(); /* Clone the set of counter-instances. */ if (m_counterInstances != null) { ((Rule) result).m_counterInstances = (ArrayList) m_counterInstances.clone(); } } catch (Exception e) { /* An exception is not supposed to happen here. */ e.printStackTrace(); System.exit(0); } return result; } /** * Test if an instance is a counter-instance of this rule. * * @param instance The instance to test. * @return True if the instance is a counter-instance. */ public boolean counterInstance(Instance instance) { return ((m_body.counterInstance(instance) && m_head.counterInstance(instance))); } /** * Update the number of counter-instances of this rule in the dataset. * This method should be used is the rule does not store its counter-instances. * * @param instances The dataset. */ public void upDate(Instances instances) { Enumeration enu = instances.enumerateInstances(); m_numInstances = instances.numInstances(); m_counter = 0; while (enu.hasMoreElements()) { if (this.counterInstance((Instance) enu.nextElement())) { m_counter++; } } m_head.upDate(instances); m_body.upDate(instances); } /** * Get the confirmation value of this rule. * * @return The confirmation. */ public double getConfirmation() { return m_confirmation; } /** * Get the optimistic estimate of the confirmation obtained by refining * this rule. * * @return The optimistic estimate. */ public double getOptimistic() { return m_optimistic; } /* * Get the expected number of counter-instances of this rule, * calculated from the number of instances satisfying the body and * the number of instances satisfying the negation of the head. * * @return The expected number of counter-instances. */ public double getExpectedNumber() { return (double) m_body.getCounterInstancesNumber() * (double) m_head.getCounterInstancesNumber() / (double) m_numInstances; } /** * Get the expected frequency of counter-instances of this rule. * * @return The expected frequency of counter-instances. */ public double getExpectedFrequency() { return getExpectedNumber() / (double) m_numInstances; } /** * Get the observed number of counter-instances of this rule in the dataset. * * @return The observed number of counter-instances. */ public int getObservedNumber() { if (m_counterInstances != null) { return m_counterInstances.size(); } else { return m_counter; } } /** * Get the observed frequency of counter-instances of this rule in the dataset. * * @return The expected frequency of counter-instances. */ public double getObservedFrequency() { return (double) getObservedNumber() / (double) m_numInstances; } /** * Get the rate of True Positive instances of this rule. * * @return The TP-rate. */ public double getTPRate() { int tp = m_body.getCounterInstancesNumber() - getObservedNumber(); int fn = m_numInstances - m_head.getCounterInstancesNumber() - tp; return ((double) tp / (double) (tp + fn)); } /** * Get the rate of False Positive instances of this rule. * * @return The FP-rate. */ public double getFPRate() { int fp = getObservedNumber(); int tn = m_head.getCounterInstancesNumber() - fp; return ((double) fp / (double) (fp + tn)); } /** * Calculate the confirmation of this rule. */ public void calculateConfirmation() { double expected = getExpectedFrequency(); double observed = getObservedFrequency(); if ((expected == 0) || (expected == 1)) { m_confirmation = 0; } else { m_confirmation = (expected - observed) / (Math.sqrt(expected) - expected); } } /** * Calculate the optimistic estimate of this rule. */ public void calculateOptimistic() { int counterInstances = this.getObservedNumber(); int body = m_body.getCounterInstancesNumber(); int notHead = m_head.getCounterInstancesNumber(); int n = m_numInstances; double expectedOptimistic; /* optimistic expected number of counter-instances */ if (counterInstances <= body - notHead) { expectedOptimistic = (double) (notHead * (body - counterInstances)) / (double) (n * n); } else if (counterInstances <= notHead - body) { expectedOptimistic = (double) (body * (notHead - counterInstances)) / (double) (n * n); } else { expectedOptimistic = (double) ((notHead + body - counterInstances) * (notHead + body - counterInstances)) / (double) (4 * n * n); } if ((expectedOptimistic == 0) || (expectedOptimistic == 1)) { m_optimistic = 0; } else { m_optimistic = expectedOptimistic / (Math.sqrt(expectedOptimistic) - expectedOptimistic); } } /** * Test if this rule is empty. * * @return True if it is the empty rule. */ public boolean isEmpty() { return (m_head.isEmpty() && m_body.isEmpty()); } /** * Give the number of literals in this rule. * * @return The number of literals. */ public int numLiterals() { return m_body.numLiterals() + m_head.numLiterals(); } /** * Add a literal to the body of the rule. * * @param newLit The literal to add. * @return The rule obtained by adding the literal, null if the literal can * not be added because of the constraints on the rule. */ private Rule addTermToBody(Literal newLit) { if (!m_negBody && newLit.negative() || (m_classRule && newLit.getPredicate().isClass()) || (newLit instanceof IndividualLiteral && (((IndividualLiteral) newLit).getType() - m_body.getType()) > 1 && (((IndividualLiteral) newLit).getType() - m_head.getType()) > 1)) { return null; } else { Rule result = (Rule) this.clone(); result.m_body.addElement(newLit); /* Update the counter-instances. */ if (m_counterInstances != null) { for (int i = result.m_counterInstances.size() - 1; i >= 0; i--) { Instance current = (Instance) result.m_counterInstances.get(i); if (!result.m_body.canKeep(current, newLit)) { result.m_counterInstances.remove(i); } } } return result; } } /** * Add a literal to the head of the rule. * * @param newLit The literal to add. * @return The rule obtained by adding the literal, null if the literal can * not be added because of the constraints on the rule. */ private Rule addTermToHead(Literal newLit) { if ((!m_negHead && newLit.negative()) || (m_classRule && !newLit.getPredicate().isClass()) || (m_singleHead && !m_head.isEmpty()) || (newLit instanceof IndividualLiteral && ((IndividualLiteral) newLit).getType() != IndividualLiteral.INDIVIDUAL_PROPERTY)) { return null; } else { Rule result = (Rule) this.clone(); result.m_head.addElement(newLit); /* Update counter-instances. */ if (m_counterInstances != null) { for (int i = result.m_counterInstances.size() - 1; i >= 0; i--) { Instance current = (Instance) result.m_counterInstances.get(i); if (!result.m_head.canKeep(current, newLit)) { result.m_counterInstances.remove(i); } } } return result; } } /** * Refine a rule by adding a range of literals of a predicate, either to * the head or to the body of the rule. * * @param pred The predicate to consider. * @param firstIndex The index of the first literal of the predicate to add. * @param lastIndex The index of the last literal of the predicate to add. * @param addTobody True if the literals should be added to the body. * @param addToHead True if the literals should be added to the head. * @return A list of rules obtained by refinement.
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