Menu
▾
▴
[DL-Learner SVN] SF.net SVN: dl-learner: [644] trunk/src/dl-learner/org/dllearner
|
From: <jen...@us...> - 2008-02-27 09:31:45
|
Revision: 644
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=644&view=rev
Author: jenslehmann
Date: 2008-02-27 01:31:41 -0800 (Wed, 27 Feb 2008)
Log Message:
-----------
- several fixes for datatype learning
- datatype learning turned off by default, because DIG 1.1 does not support the necessary reasoning methods
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/algorithms/refinement/ROLearner.java
trunk/src/dl-learner/org/dllearner/algorithms/refinement/RhoDown.java
trunk/src/dl-learner/org/dllearner/cli/Start.java
trunk/src/dl-learner/org/dllearner/core/Reasoner.java
trunk/src/dl-learner/org/dllearner/reasoning/FastInstanceChecker.java
Modified: trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLComponent.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLComponent.java 2008-02-27 09:24:04 UTC (rev 643)
+++ trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLComponent.java 2008-02-27 09:31:41 UTC (rev 644)
@@ -164,8 +164,8 @@
options.add(CommonConfigOptions.useNegation());
options.add(CommonConfigOptions.useBooleanDatatypes());
DoubleConfigOption noisePercentage = new DoubleConfigOption("noisePercentage", "the (approximated) percentage of noise within the examples");
- noisePercentage.setLowerLimit(0.0);
- noisePercentage.setUpperLimit(1.0);
+ noisePercentage.setLowerLimit(0);
+ noisePercentage.setUpperLimit(100);
options.add(noisePercentage);
return options;
}
@@ -228,12 +228,13 @@
*/
@Override
public void init() {
+
if(searchTreeFile == null)
searchTreeFile = new File(defaultSearchTreeFile);
if(writeSearchTree)
Files.clearFile(searchTreeFile);
-
+
// adjust heuristic
ExampleBasedHeuristic algHeuristic;
@@ -243,8 +244,7 @@
if(learningProblem instanceof PosOnlyDefinitionLP) {
throw new RuntimeException("does not work with positive examples only yet");
}
- algHeuristic = null;
- // algHeuristic = new FlexibleHeuristic(learningProblem.getNegativeExamples().size(), learningProblem.getPercentPerLengthUnit());
+ algHeuristic = new FlexibleHeuristic(((PosNegLP)learningProblem).getNegativeExamples().size(), ((PosNegLP)learningProblem).getPercentPerLengthUnit());
}
// 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 2008-02-27 09:24:04 UTC (rev 643)
+++ trunk/src/dl-learner/org/dllearner/algorithms/refexamples/ExampleBasedROLearner.java 2008-02-27 09:31:41 UTC (rev 644)
@@ -210,6 +210,7 @@
}
public void start() {
+
// calculate quality threshold required for a solution
allowedMisclassifications = (int) Math.round(noise * nrOfExamples);
@@ -559,7 +560,7 @@
tooWeakList.add(refinement);
} else {
// Lösung gefunden
- if(quality == 0) {
+ if(quality >= 0 && quality<allowedMisclassifications) {
solutionFound = true;
solutions.add(refinement);
}
@@ -609,8 +610,11 @@
long algorithmRuntime = System.nanoTime() - algorithmStartTime;
if(!finalStats) {
+ ExampleBasedNode bestNode = candidatesStable.last();
+ double accuracy = 100 * ((bestNode.getCoveredPositives().size()
+ + nrOfNegativeExamples - bestNode.getCoveredNegatives().size())/(double)nrOfExamples);
// Refinementoperator auf Konzept anwenden
- String bestNodeString = "currently best node: " + candidatesStable.last();
+ String bestNodeString = "currently best node: " + bestNode + " accuracy: " + df.format(accuracy) + "%";
// searchTree += bestNodeString + "\n";
System.out.println(bestNodeString);
String expandedNodeString = "next expanded node: " + candidates.last();
Modified: trunk/src/dl-learner/org/dllearner/algorithms/refinement/ROLearner.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/algorithms/refinement/ROLearner.java 2008-02-27 09:24:04 UTC (rev 643)
+++ trunk/src/dl-learner/org/dllearner/algorithms/refinement/ROLearner.java 2008-02-27 09:31:41 UTC (rev 644)
@@ -67,7 +67,7 @@
private boolean useAllConstructor = true;
private boolean useExistsConstructor = true;
private boolean useNegation = true;
- private boolean useBooleanDatatypes = true;
+ private boolean useBooleanDatatypes = false;
private boolean quiet = false;
Modified: trunk/src/dl-learner/org/dllearner/algorithms/refinement/RhoDown.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/algorithms/refinement/RhoDown.java 2008-02-27 09:24:04 UTC (rev 643)
+++ trunk/src/dl-learner/org/dllearner/algorithms/refinement/RhoDown.java 2008-02-27 09:31:41 UTC (rev 644)
@@ -318,7 +318,8 @@
// falls Konzept ungleich Bottom oder Top, dann kann ein Refinement von Top
// angehangen werden
if(concept instanceof Union || concept instanceof NamedClass ||
- concept instanceof Negation || concept instanceof ObjectSomeRestriction || concept instanceof ObjectAllRestriction) {
+ concept instanceof Negation || concept instanceof ObjectQuantorRestriction
+ || concept instanceof ValueRestriction) {
// long someTimeNsStart = System.nanoTime();
// someCount++;
// Refinement von Top anhängen
Modified: trunk/src/dl-learner/org/dllearner/cli/Start.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/cli/Start.java 2008-02-27 09:24:04 UTC (rev 643)
+++ trunk/src/dl-learner/org/dllearner/cli/Start.java 2008-02-27 09:31:41 UTC (rev 644)
@@ -324,7 +324,7 @@
}
} catch (InvalidConfigOptionValueException e) {
- // e.printStackTrace();
+ e.printStackTrace();
System.exit(0);
}
Modified: trunk/src/dl-learner/org/dllearner/core/Reasoner.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/core/Reasoner.java 2008-02-27 09:24:04 UTC (rev 643)
+++ trunk/src/dl-learner/org/dllearner/core/Reasoner.java 2008-02-27 09:31:41 UTC (rev 644)
@@ -92,6 +92,10 @@
public Set<ObjectProperty> getAtomicRoles();
+// public String getBaseURI;
+//
+// public Map<String, String> getPrefixes();
+
// currently, we do not require that datatype properties can be returned;
// the main reason is that DIG does not distinguish between datatype and
// object properties (of course one could implement it but it is not easy)
Modified: trunk/src/dl-learner/org/dllearner/reasoning/FastInstanceChecker.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/reasoning/FastInstanceChecker.java 2008-02-27 09:24:04 UTC (rev 643)
+++ trunk/src/dl-learner/org/dllearner/reasoning/FastInstanceChecker.java 2008-02-27 09:31:41 UTC (rev 644)
@@ -119,6 +119,10 @@
}
+ public static String getName() {
+ return "fast instance checker";
+ }
+
/*
* (non-Javadoc)
*
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
|
