[DL-Learner SVN] SF.net SVN: dl-learner:[1819] trunk/src/dl-learner/org/dllearner

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

Revision: 1819
          http://dl-learner.svn.sourceforge.net/dl-learner/?rev=1819&view=rev
Author:   jenslehmann
Date:     2009-08-06 14:23:17 +0000 (Thu, 06 Aug 2009)

Log Message:
-----------
- new stat constructor for merging two stat objects
- evaluation script extended

Modified Paths:
--------------
    trunk/src/dl-learner/org/dllearner/scripts/evaluation/OntologyEngineering.java
    trunk/src/dl-learner/org/dllearner/utilities/statistics/Stat.java

Modified: trunk/src/dl-learner/org/dllearner/scripts/evaluation/OntologyEngineering.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/scripts/evaluation/OntologyEngineering.java	2009-08-04 20:07:44 UTC (rev 1818)
+++ trunk/src/dl-learner/org/dllearner/scripts/evaluation/OntologyEngineering.java	2009-08-06 14:23:17 UTC (rev 1819)
@@ -78,10 +78,10 @@
 	private static DecimalFormat df = new DecimalFormat();
 
 	// for performance measurements and development
-	private static boolean autoMode = true;
+	private static boolean autoMode = false;
 	private static boolean useFastInstanceChecker = true;
-	private static boolean useApproximations = false;
-	private static boolean computeApproxDiff = true;
+	private static boolean useApproximations = true;
+	private static boolean computeApproxDiff = false;
 	
 	@SuppressWarnings("unchecked")
 	public static void main(String[] args) throws ComponentInitException,
@@ -424,6 +424,24 @@
 				+ accAboveThresholdStatSC.prettyPrint(""));
 		System.out.println("non-perfect (not 100% accuracy) axioms selected: " + nonPerfectCountSC);	
 		System.out.println("average number typed by user: " + positionStatSC.prettyPrint(""));
+		System.out.println();
+		
+		System.out.println("merged statistics for equivalence/superclass:");
+		System.out.println("classes above " + (minAccuracy * 100) + "% threshold: "
+				+ (candidatesAboveThresholdCount+candidatesAboveThresholdCountSC));
+		System.out.println("axioms learned succesfully: " + (foundDescriptionCount+foundDescriptionCountSC));
+		System.out.println("axioms missed: " + (missesCount+missesCountSC));
+		System.out.println("class with no sensible axioms: " + (noSensibleDescriptionCount+noSensibleDescriptionCountSC));
+		System.out.println("inconsistencies detected: " + (inconsistencyDetected+inconsistencyDetectedSC));
+		System.out.println("additional instances found: " + new Stat(moreInstancesCountStat,moreInstancesCountStatSC).prettyPrint(""));
+		System.out.println("average accuracy overall: " + new Stat(accStat,accStatSC).prettyPrint(""));
+		System.out.println("average accuracy of selected expressions: "
+				+ new Stat(accSelectedStat,accSelectedStatSC).prettyPrint(""));
+		System.out.println("average accuracy of expressions above threshold: "
+				+ new Stat(accAboveThresholdStat,accAboveThresholdStatSC).prettyPrint(""));
+		System.out.println("non-perfect (not 100% accuracy) axioms selected: " + (nonPerfectCount+nonPerfectCountSC));
+		System.out.println("average number typed by user: " + new Stat(positionStat,positionStatSC).prettyPrint(""));
+		System.out.println();		
 	}
 
 	@SuppressWarnings("unused")

Modified: trunk/src/dl-learner/org/dllearner/utilities/statistics/Stat.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/utilities/statistics/Stat.java	2009-08-04 20:07:44 UTC (rev 1818)
+++ trunk/src/dl-learner/org/dllearner/utilities/statistics/Stat.java	2009-08-06 14:23:17 UTC (rev 1819)
@@ -39,7 +39,26 @@
     //used to give a good percentage output
     private DecimalFormat df = new DecimalFormat( ".00%" ); 
 
+    public Stat() {
+    	
+    }
+    
     /**
+     * Creates a new stat object by merging two stat objects. The result is the same as if
+     * the numbers, which have been added to stat1 and stat2 would have been added to this
+     * stat object.
+     * @param stat1 Statistical object 1.
+     * @param stat2 Statistical object 2.
+     */
+    public Stat(Stat stat1, Stat stat2) {
+    	count = stat1.count + stat2.count;
+    	sum = stat1.sum + stat2.sum;
+    	squareSum = stat1.squareSum + stat2.squareSum;
+    	min = Math.min(stat1.min, stat2.min);
+    	max = Math.max(stat1.max, stat2.max);
+    }
+    
+    /**
      * Add a number to this object.
      * 
      * @param number


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