Changeset 20 for trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaBaseTraining2.java

Timestamp:

10/31/14 15:54:08 (10 years ago)

Author:

atrautsch

Message:

Mehr kommentiert.

File:

• trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaBaseTraining2.java (modified) (4 diffs)

trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaBaseTraining2.java

@@ -5 +5 @@
 
 import de.ugoe.cs.util.console.Console;
+
 import weka.core.OptionHandler;
 import weka.classifiers.Classifier;
 import weka.classifiers.meta.CVParameterSelection;
 
+/**
+ * WekaBaseTraining2
+ * 
+ * Allows specification of the Weka classifier and its params in the XML experiment configuration.
+ * 
+ * Important conventions of the XML format: 
+ * Cross Validation params come always last and are prepended with -CVPARAM
+ * Example: <trainer name="WekaClusterTraining2" param="RandomForestLocal weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5"/>
+ */
 public abstract class WekaBaseTraining2 implements WekaCompatibleTrainer {
         
@@ -20 +30 @@
                 String[] params = parameters.split(" ");
 
-                // first is classifierName
+                // first part of the params is the classifierName (e.g. SMORBF)
                 classifierName = params[0];
                 
-                // all following parameters can be copied from weka!
+                // the following parameters can be copied from weka!
                 
-                // second param is classifierClassName
+                // second param is classifierClassName (e.g. weka.classifiers.functions.SMO)
                 classifierClassName = params[1];
         
-                // rest are params to the specified classifier
+                // rest are params to the specified classifier (e.g. -K weka.classifiers.functions.supportVector.RBFKernel)
                 classifierParams = Arrays.copyOfRange(params, 2, params.length);
                 
@@ -46 +56 @@
                         Classifier obj = (Classifier) c.newInstance();
                         
-                        // Filter -CVPARAM
+                        // Filter out -CVPARAM, these are special because they do not belong to the Weka classifier class as parameters
                         String[] param = Arrays.copyOf(classifierParams, classifierParams.length);
                         String[] cvparam = {};
@@ -68 +78 @@
                         
                         // we have cross val params
-                        // cant check on cvparam.length may not be initialized                  
+                        // cant check on cvparam.length here, it may not be initialized                 
                         if(cv) {
                                 final CVParameterSelection ps = new CVParameterSelection();