Changeset 135 for trunk/CrossPare/src/de/ugoe/cs/cpdp/dataselection/SetWiseEMContextSelection.java

Timestamp:

07/18/16 12:26:03 (8 years ago)

Author:

sherbold

Message:

• code documentation and formatting

File:

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

trunk/CrossPare/src/de/ugoe/cs/cpdp/dataselection/SetWiseEMContextSelection.java

@@ -41 +41 @@
 public class SetWiseEMContextSelection implements ISetWiseDataselectionStrategy {
 
+    /**
+     * context factors
+     */
     private String[] project_context_factors; // = new String[]{"TND", "TNC", "TNF", "TLOC"};
 
+    /*
+     * (non-Javadoc)
+     * 
+     * @see de.ugoe.cs.cpdp.IParameterizable#setParameter(java.lang.String)
+     */
     @Override
     public void setParameter(String parameters) {
@@ -103 +111 @@
         }
         catch (Exception e) {
-            throw new RuntimeException(
-                                       "error applying setwise EM clustering training data selection",
+            throw new RuntimeException("error applying setwise EM clustering training data selection",
                                        e);
         }
     }
 
+    /*
+     * (non-Javadoc)
+     * 
+     * @see de.ugoe.cs.cpdp.dataselection.ISetWiseDataselectionStrategy#apply(weka.core.Instances,
+     * org.apache.commons.collections4.list.SetUniqueList)
+     */
     @Override
     public void apply(Instances testdata, SetUniqueList<Instances> traindataSet) {
@@ -131 +144 @@
      * @return
      */
-    protected Instances getContextFactors(Instances testdata, SetUniqueList<Instances> traindataSet)
+    protected Instances getContextFactors(Instances testdata,
+                                          SetUniqueList<Instances> traindataSet)
     {
         // setup weka Instances for clustering
@@ -190 +204 @@
                 remove.add(traindata);
                 // Console.traceln(Level.WARNING,
-                // "rmove attribute "+attribute+" test: "+testdata.firstInstance().value(testdata.attribute(attribute))+" train: "+traindata.firstInstance().value(traindata.attribute(attribute)));
+                // "rmove attribute "+attribute+" test:
+                // "+testdata.firstInstance().value(testdata.attribute(attribute))+" train:
+                // "+traindata.firstInstance().value(traindata.attribute(attribute)));
             }
         }
@@ -218 +234 @@
         }
         catch (Exception e) {
-            throw new RuntimeException(
-                                       "Unexpected exception during normalization of distributional characteristics.",
+            throw new RuntimeException("Unexpected exception during normalization of distributional characteristics.",
                                        e);
         }