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[DL-Learner SVN] SF.net SVN: dl-learner: [832] trunk/src/dl-learner/org/dllearner
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From: <Jen...@us...> - 2008-05-13 11:11:13
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Revision: 832
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=832&view=rev
Author: JensLehmann
Date: 2008-05-13 04:11:07 -0700 (Tue, 13 May 2008)
Log Message:
-----------
started posonly learning for refexamples algorithm
Modified Paths:
--------------
trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLComponent.java
trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLearner.java
trunk/src/dl-learner/org/dllearner/cli/Start.java
trunk/src/dl-learner/org/dllearner/tools/protege/ButtonList.java
trunk/src/dl-learner/org/dllearner/tools/protege/DLLearnerModel.java
trunk/src/dl-learner/org/dllearner/tools/protege/SuggestEquivalentClassView.java
Modified: trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLComponent.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLComponent.java 2008-05-06 18:27:11 UTC (rev 831)
+++ trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLComponent.java 2008-05-13 11:11:07 UTC (rev 832)
@@ -45,6 +45,7 @@
import org.dllearner.core.owl.ObjectProperty;
import org.dllearner.learningproblems.PosNegLP;
import org.dllearner.learningproblems.PosOnlyDefinitionLP;
+import org.dllearner.learningproblems.PosOnlyLP;
import org.dllearner.refinementoperators.RhoDRDown;
import org.dllearner.utilities.Files;
import org.dllearner.utilities.Helper;
@@ -274,10 +275,12 @@
}
algHeuristic = new FlexibleHeuristic(((PosNegLP)learningProblem).getNegativeExamples().size(), ((PosNegLP)learningProblem).getPercentPerLengthUnit());
} else {
- if(learningProblem instanceof PosOnlyDefinitionLP) {
- throw new RuntimeException("does not work with positive examples only yet");
- }
- algHeuristic = new MultiHeuristic(((PosNegLP)learningProblem).getPositiveExamples().size(),((PosNegLP)learningProblem).getNegativeExamples().size());
+ if(learningProblem instanceof PosOnlyLP) {
+// throw new RuntimeException("does not work with positive examples only yet");
+ algHeuristic = new MultiHeuristic(((PosOnlyLP)learningProblem).getPositiveExamples().size(),0);
+ } else {
+ algHeuristic = new MultiHeuristic(((PosNegLP)learningProblem).getPositiveExamples().size(),((PosNegLP)learningProblem).getNegativeExamples().size());
+ }
}
// compute used concepts/roles from allowed/ignored
Modified: trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLearner.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLearner.java 2008-05-06 18:27:11 UTC (rev 831)
+++ trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLearner.java 2008-05-13 11:11:07 UTC (rev 832)
@@ -80,13 +80,17 @@
// basic setup: learning problem and reasoning service
private ReasoningService rs;
+ // often the learning problems needn't be accessed directly; instead
+ // use the example sets below and the posonly variable
private PosNegLP learningProblem;
private PosOnlyDefinitionLP posOnlyLearningProblem;
private Description startDescription;
private boolean posOnly = false;
private int nrOfExamples;
private int nrOfPositiveExamples;
+ private Set<Individual> positiveExamples;
private int nrOfNegativeExamples;
+ private Set<Individual> negativeExamples;
// noise regulates how many positives can be misclassified and when the algorithm terminates
private double noise = 0.0;
@@ -199,7 +203,6 @@
private long evaluateSetCreationTimeNs = 0;
private long improperConceptsRemovalTimeNs = 0;
-
// prefixes
private String baseURI;
@@ -227,8 +230,10 @@
PosNegLP lp = (PosNegLP) learningProblem;
this.learningProblem = lp;
posOnly = false;
- nrOfPositiveExamples = lp.getPositiveExamples().size();
- nrOfNegativeExamples = lp.getNegativeExamples().size();
+ positiveExamples = lp.getPositiveExamples();
+ negativeExamples = lp.getNegativeExamples();
+ nrOfPositiveExamples = positiveExamples.size();
+ nrOfNegativeExamples = negativeExamples.size();
// System.out.println(nrOfPositiveExamples);
// System.out.println(nrOfNegativeExamples);
@@ -238,8 +243,11 @@
PosOnlyDefinitionLP lp = (PosOnlyDefinitionLP) learningProblem;
this.posOnlyLearningProblem = lp;
posOnly = true;
+ positiveExamples = lp.getPositiveExamples();
+ negativeExamples = new TreeSet<Individual>();
nrOfPositiveExamples = lp.getPositiveExamples().size();
- nrOfNegativeExamples = lp.getPseudoNegatives().size();
+// nrOfNegativeExamples = lp.getPseudoNegatives().size();
+ nrOfNegativeExamples = 0;
}
nrOfExamples = nrOfPositiveExamples + nrOfNegativeExamples;
this.rs = rs;
@@ -312,11 +320,11 @@
// start search with start class
if(startDescription == null) {
startNode = new ExampleBasedNode(Thing.instance);
- startNode.setCoveredExamples(learningProblem.getPositiveExamples(), learningProblem.getNegativeExamples());
+ startNode.setCoveredExamples(positiveExamples, negativeExamples);
} else {
startNode = new ExampleBasedNode(startDescription);
- Set<Individual> coveredNegatives = rs.instanceCheck(startDescription, learningProblem.getNegativeExamples());
- Set<Individual> coveredPositives = rs.instanceCheck(startDescription, learningProblem.getPositiveExamples());
+ Set<Individual> coveredNegatives = rs.instanceCheck(startDescription, negativeExamples);
+ Set<Individual> coveredPositives = rs.instanceCheck(startDescription, positiveExamples);
startNode.setCoveredExamples(coveredPositives, coveredNegatives);
}
@@ -635,10 +643,11 @@
if(useOverlyGeneralList && refinement instanceof Union) {
if(containsOverlyGeneralElement((Union)refinement)) {
conceptTestsOverlyGeneralList++;
- quality = getNumberOfNegatives();
+// quality = getNumberOfNegatives();
+ quality = nrOfNegativeExamples;
qualityKnown = true;
newNode.setQualityEvaluationMethod(ExampleBasedNode.QualityEvaluationMethod.OVERLY_GENERAL_LIST);
- newNode.setCoveredExamples(learningProblem.getPositiveExamples(), learningProblem.getNegativeExamples());
+ newNode.setCoveredExamples(positiveExamples, negativeExamples);
}
}
@@ -717,7 +726,7 @@
// we need to make sure that all positives are covered
// before adding something to the overly general list
- if((newNode.getCoveredPositives().size() == nrOfPositiveExamples) && quality == getNumberOfNegatives())
+ if((newNode.getCoveredPositives().size() == nrOfPositiveExamples) && quality == nrOfNegativeExamples)
overlyGeneralList.add(refinement);
}
@@ -833,20 +842,20 @@
+ conceptTestsTooWeakList + "/" + conceptTestsOverlyGeneralList + "/" + redundantConcepts);
}
- @SuppressWarnings({"unused"})
- private int coveredNegativesOrTooWeak(Description concept) {
- if(posOnly)
- return posOnlyLearningProblem.coveredPseudoNegativeExamplesOrTooWeak(concept);
- else
- return learningProblem.coveredNegativeExamplesOrTooWeak(concept);
- }
+// @SuppressWarnings({"unused"})
+// private int coveredNegativesOrTooWeak(Description concept) {
+// if(posOnly)
+// return posOnlyLearningProblem.coveredPseudoNegativeExamplesOrTooWeak(concept);
+// else
+// return learningProblem.coveredNegativeExamplesOrTooWeak(concept);
+// }
- private int getNumberOfNegatives() {
- if(posOnly)
- return posOnlyLearningProblem.getPseudoNegatives().size();
- else
- return learningProblem.getNegativeExamples().size();
- }
+// private int getNumberOfNegatives() {
+// if(posOnly)
+// return posOnlyLearningProblem.getPseudoNegatives().size();
+// else
+// return learningProblem.getNegativeExamples().size();
+// }
private boolean containsTooWeakElement(Intersection mc) {
for(Description child : mc.getChildren()) {
@@ -1047,7 +1056,7 @@
return posOnlyLearningProblem.computeScore(getBestSolution());
else
return learningProblem.computeScore(getBestSolution());
- }
+ }
public ExampleBasedNode getStartNode() {
return startNode;
Modified: trunk/src/dl-learner/org/dllearner/cli/Start.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/cli/Start.java 2008-05-06 18:27:11 UTC (rev 831)
+++ trunk/src/dl-learner/org/dllearner/cli/Start.java 2008-05-13 11:11:07 UTC (rev 832)
@@ -787,11 +787,11 @@
*/
public static Class<? extends LearningProblem> getLearningProblemClass(ConfFileOption problemOption) {
Class<? extends LearningProblem> lpClass = null;
- if (problemOption == null || problemOption.getStringValue().equals("posNegDefinition"))
+ if (problemOption == null || problemOption.getStringValue().equals("posNegDefinitionLP"))
lpClass = PosNegDefinitionLP.class;
- else if (problemOption.getStringValue().equals("posNegInclusion"))
+ else if (problemOption.getStringValue().equals("posNegInclusionLP"))
lpClass = PosNegInclusionLP.class;
- else if (problemOption.getStringValue().equals("posOnlyDefinition"))
+ else if (problemOption.getStringValue().equals("posOnlyDefinitionLP"))
lpClass = PosOnlyDefinitionLP.class;
else
handleError("Unknown value " + problemOption.getValue() + " for option \"problem\".");
Modified: trunk/src/dl-learner/org/dllearner/tools/protege/ButtonList.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/tools/protege/ButtonList.java 2008-05-06 18:27:11 UTC (rev 831)
+++ trunk/src/dl-learner/org/dllearner/tools/protege/ButtonList.java 2008-05-13 11:11:07 UTC (rev 832)
@@ -4,7 +4,6 @@
import org.protege.editor.owl.ui.frame.InheritedAnonymousClassesFrameSection;
import org.protege.editor.owl.ui.frame.OWLClassAssertionAxiomIndividualSection;
import org.protege.editor.owl.ui.frame.OWLDisjointClassesAxiomFrameSection;
-import org.protege.editor.owl.ui.frame.OWLEquivalentClassesAxiomFrameSection;
import org.protege.editor.owl.ui.frame.OWLSubClassAxiomFrameSection;
import org.semanticweb.owl.model.OWLClass;
import org.protege.editor.owl.OWLEditorKit;
Modified: trunk/src/dl-learner/org/dllearner/tools/protege/DLLearnerModel.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/tools/protege/DLLearnerModel.java 2008-05-06 18:27:11 UTC (rev 831)
+++ trunk/src/dl-learner/org/dllearner/tools/protege/DLLearnerModel.java 2008-05-13 11:11:07 UTC (rev 832)
@@ -19,7 +19,6 @@
import org.semanticweb.owl.apibinding.OWLManager;
import org.semanticweb.owl.model.AddAxiom;
import org.semanticweb.owl.model.OWLAxiom;
-import org.semanticweb.owl.model.OWLClass;
import org.semanticweb.owl.model.OWLDataFactory;
import org.semanticweb.owl.model.OWLDescription;
import org.semanticweb.owl.model.OWLOntology;
Modified: trunk/src/dl-learner/org/dllearner/tools/protege/SuggestEquivalentClassView.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/tools/protege/SuggestEquivalentClassView.java 2008-05-06 18:27:11 UTC (rev 831)
+++ trunk/src/dl-learner/org/dllearner/tools/protege/SuggestEquivalentClassView.java 2008-05-13 11:11:07 UTC (rev 832)
@@ -5,7 +5,6 @@
import java.awt.GridLayout;
import java.util.*;
-import org.semanticweb.owl.model.OWLAxiom;
import org.semanticweb.owl.model.OWLClass;
import org.protege.editor.owl.ui.frame.OWLFrame;
import javax.swing.JButton;
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