Changeset 19 for trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaClusterTraining2.java

Timestamp:

10/16/14 10:37:01 (10 years ago)

Author:

atrautsch

Message:

Update wegen Speicherverbrauch, Debug Output auskommentiert.

File:

• trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaClusterTraining2.java (modified) (5 diffs)

trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaClusterTraining2.java

@@ -67 +67 @@
                 private EM clusterer = null;
 
-                private HashMap<Integer, Classifier> cclassifier = new HashMap<Integer, Classifier>();
-                private HashMap<Integer, Instances> ctraindata = new HashMap<Integer, Instances>(); 
+                private HashMap<Integer, Classifier> cclassifier;
+                private HashMap<Integer, Instances> ctraindata; 
                 
                 
@@ -115 +115 @@
                                 int cnum = clusterer.clusterInstance(clusterInstance);
                                 
+                                //Console.traceln(Level.INFO, String.format("instance is in cluster: " + cnum));
+                                                
                                 // 2. classify testata instance to the classifier
                                 ret = cclassifier.get(cnum).classifyInstance(classInstance);
@@ -141 +143 @@
                         // 3. cluster data
                         //Console.traceln(Level.INFO, String.format("starting clustering"));
+                        
+                        cclassifier = new HashMap<Integer, Classifier>();
+                        ctraindata = new HashMap<Integer, Instances>();
                         
                         // use standard params for now
@@ -173 +178 @@
                         }
                         
+                        // Debug output
+                        //Console.traceln(Level.INFO, String.format("number of clusters: " + clusterer.numberOfClusters()));
+                        
                         // train one classifier per cluster, we get the clusternumber from the traindata
                         Iterator<Integer> clusternumber = ctraindata.keySet().iterator();
@@ -180 +188 @@
                                 cclassifier.get(cnumber).buildClassifier(ctraindata.get(cnumber));
                                 
-                                //Console.traceln(Level.INFO, String.format("classifier in cluster "+cnumber));
+                                //Console.traceln(Level.INFO, String.format("building classifier in cluster "+cnumber + " with " + ctraindata.get(cnumber).size() + " traindata instances"));
                         }
                 }