Changeset 135 for trunk/CrossPare/src/de/ugoe/cs/cpdp/execution/ClassifierCreationExperiment.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/execution/ClassifierCreationExperiment.java (modified) (5 diffs)

trunk/CrossPare/src/de/ugoe/cs/cpdp/execution/ClassifierCreationExperiment.java

@@ -107 +107 @@
 
             for (IProcessesingStrategy processor : config.getPreProcessors()) {
-                Console.traceln(Level.FINE, String
-                    .format("[%s] [%02d/%02d] %s: applying preprocessor %s",
-                            config.getExperimentName(), versionCount, versions.size(),
-                            testVersion.getProject(), processor.getClass().getName()));
+                Console.traceln(Level.FINE,
+                                String.format("[%s] [%02d/%02d] %s: applying preprocessor %s",
+                                              config.getExperimentName(), versionCount,
+                                              versions.size(), testVersion.getProject(),
+                                              processor.getClass().getName()));
                 processor.apply(testdata, traindata);
             }
 
             for (IPointWiseDataselectionStrategy dataselector : config.getPointWiseSelectors()) {
-                Console.traceln(Level.FINE, String
-                    .format("[%s] [%02d/%02d] %s: applying pointwise selection %s",
-                            config.getExperimentName(), versionCount, versions.size(),
-                            testVersion.getProject(), dataselector.getClass().getName()));
+                Console
+                    .traceln(Level.FINE,
+                             String.format("[%s] [%02d/%02d] %s: applying pointwise selection %s",
+                                           config.getExperimentName(), versionCount,
+                                           versions.size(), testVersion.getProject(),
+                                           dataselector.getClass().getName()));
                 traindata = dataselector.apply(testdata, traindata);
             }
 
             for (IProcessesingStrategy processor : config.getPostProcessors()) {
-                Console.traceln(Level.FINE, String
-                    .format("[%s] [%02d/%02d] %s: applying setwise postprocessor %s",
-                            config.getExperimentName(), versionCount, versions.size(),
-                            testVersion.getProject(), processor.getClass().getName()));
+                Console
+                    .traceln(Level.FINE,
+                             String.format("[%s] [%02d/%02d] %s: applying setwise postprocessor %s",
+                                           config.getExperimentName(), versionCount,
+                                           versions.size(), testVersion.getProject(),
+                                           processor.getClass().getName()));
                 processor.apply(testdata, traindata);
             }
@@ -148 +153 @@
                     try {
                         weka.core.SerializationHelper.write(resultsDir.getAbsolutePath() + "/" +
-                                                                trainer.getName() + "-" +
-                                                                testVersion.getProject(),
+                            trainer.getName() + "-" + testVersion.getProject(),
                                                             trainerToSave.getClassifier());
                     }
@@ -160 +164 @@
 
             for (IEvaluationStrategy evaluator : config.getEvaluators()) {
-                Console.traceln(Level.FINE, String
-                    .format("[%s] [%02d/%02d] %s: applying evaluator %s",
-                            config.getExperimentName(), versionCount, versions.size(),
-                            testVersion.getProject(), evaluator.getClass().getName()));
+                Console.traceln(Level.FINE,
+                                String.format("[%s] [%02d/%02d] %s: applying evaluator %s",
+                                              config.getExperimentName(), versionCount,
+                                              versions.size(), testVersion.getProject(),
+                                              evaluator.getClass().getName()));
 
                 if (writeHeader) {
@@ -169 +174 @@
                         config.getExperimentName() + ".csv");
                 }
-                evaluator.apply(testdata, traindata, allTrainers, efforts, writeHeader, config.getResultStorages());
+                evaluator.apply(testdata, traindata, allTrainers, efforts, writeHeader,
+                                config.getResultStorages());
                 writeHeader = false;
             }
@@ -175 +181 @@
             versionCount++;
 
-            Console.traceln(Level.INFO, String.format("[%s] [%02d/%02d] %s: finished",
-                                                      config.getExperimentName(), versionCount,
-                                                      versions.size(), testVersion.getProject()));
+            Console.traceln(Level.INFO,
+                            String.format("[%s] [%02d/%02d] %s: finished",
+                                          config.getExperimentName(), versionCount, versions.size(),
+                                          testVersion.getProject()));
 
         }