[DL-Learner SVN] SF.net SVN: dl-learner: [140] trunk

[<jen...@us...>]

Revision: 140
          http://dl-learner.svn.sourceforge.net/dl-learner/?rev=140&view=rev
Author:   jenslehmann
Date:     2007-09-15 04:24:14 -0700 (Sat, 15 Sep 2007)

Log Message:
-----------
small fixes

Modified Paths:
--------------
    trunk/examples/yinyang_files/straightLearningProblem.xml
    trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java

Modified: trunk/examples/yinyang_files/straightLearningProblem.xml
===================================================================
--- trunk/examples/yinyang_files/straightLearningProblem.xml	2007-09-07 04:39:51 UTC (rev 139)
+++ trunk/examples/yinyang_files/straightLearningProblem.xml	2007-09-15 11:24:14 UTC (rev 140)
@@ -13,7 +13,7 @@
 abstractionClass="it.uniba.di.dl.abstraction.KBoundMSCApproximatorRefinement" 
 learn="true" 
 normalize="true" 
-consistencyCheck="false"
+consistencyCheck="true"
 reasonerURL ="http://localhost:8081"
 
 

Modified: trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java	2007-09-07 04:39:51 UTC (rev 139)
+++ trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java	2007-09-15 11:24:14 UTC (rev 140)
@@ -126,6 +126,7 @@
 		int[] algorithmRuns = {1,10,10};
 		int startAlgorithmNr = 0;
 
+		// Config.GP.maxConceptLength = 30;
 		Config.writeDIGProtocol = true;
 		Config.digProtocolFile = new File(statBaseDir, "dig.log");
 		
@@ -233,7 +234,7 @@
 						Config.percentPerLengthUnit = 0.005;
 						// give GP a chance to find the long solution of the
 						// uncle problem
-						if(exampleNr==3 || exampleNr == 6)
+						if(exampleNr==3 || exampleNr==5 || exampleNr == 6)
 							Config.percentPerLengthUnit = 0.002;
 						learningAlgorithm = new GP(learningProblem);
 					} else if(algorithmNr==2) {
@@ -250,7 +251,7 @@
 						Config.GP.crossoverProbability = 0.2;
 						Config.GP.hillClimbingProbability = 0;
 						Config.percentPerLengthUnit = 0.005;
-						if(exampleNr == 3 || exampleNr==6)
+						if(exampleNr == 3 || exampleNr==5 || exampleNr==6)
 							Config.percentPerLengthUnit = 0.002;						
 						learningAlgorithm = new GP(learningProblem);
 					}


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