[DL-Learner SVN] SF.net SVN: dl-learner: [126] trunk/src/dl-learner/org/dllearner/utilities/ PaperStatistics.java

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

Revision: 126
          http://dl-learner.svn.sourceforge.net/dl-learner/?rev=126&view=rev
Author:   jenslehmann
Date:     2007-09-03 08:43:58 -0700 (Mon, 03 Sep 2007)

Log Message:
-----------
updated statistic settings

Modified Paths:
--------------
    trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java

Modified: trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java	2007-08-31 15:30:09 UTC (rev 125)
+++ trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java	2007-09-03 15:43:58 UTC (rev 126)
@@ -126,7 +126,8 @@
 		int[] algorithmRuns = {1,10,10};
 		int startAlgorithmNr = 0;
 
-
+		Config.writeDIGProtocol = true;
+		Config.digProtocolFile = new File(statBaseDir, "dig.log");
 		
 		// do not plot anything
 		// File[][][] gnuplotFiles = new File[examples.length][algorithms.length][3];
@@ -169,7 +170,9 @@
 			statString += "example: " + examples[exampleNr] + "\n\n";
 			
 			for(int algorithmNr=startAlgorithmNr; algorithmNr < algorithms.length; algorithmNr++) {
-							
+				// reset algorithm number (next example starts with first algorithm)
+				startAlgorithmNr = 0;		
+				
 				Stat classification = new Stat();
 				Stat length = new Stat();
 				Stat runtime = new Stat();
@@ -228,6 +231,10 @@
 						Config.GP.crossoverProbability = 0.8;
 						Config.GP.hillClimbingProbability = 0;
 						Config.percentPerLengthUnit = 0.005;
+						// give GP a chance to find the long solution of the
+						// uncle problem
+						if(exampleNr==3 || exampleNr == 6)
+							Config.percentPerLengthUnit = 0.002;
 						learningAlgorithm = new GP(learningProblem);
 					} else if(algorithmNr==2) {
 						Config.algorithm = Algorithm.HYBRID_GP;
@@ -243,6 +250,8 @@
 						Config.GP.crossoverProbability = 0.2;
 						Config.GP.hillClimbingProbability = 0;
 						Config.percentPerLengthUnit = 0.005;
+						if(exampleNr == 3 || exampleNr==6)
+							Config.percentPerLengthUnit = 0.002;						
 						learningAlgorithm = new GP(learningProblem);
 					}
 					


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