Changeset 41 for trunk/CrossPare/src/de/ugoe/cs/cpdp/eval/NormalWekaEvaluation.java

Timestamp:

09/24/15 10:59:05 (9 years ago)

Author:

sherbold

Message:

• formatted code and added copyrights

File:

• trunk/CrossPare/src/de/ugoe/cs/cpdp/eval/NormalWekaEvaluation.java (modified) (2 diffs)

trunk/CrossPare/src/de/ugoe/cs/cpdp/eval/NormalWekaEvaluation.java

@@ +1 @@
+// Copyright 2015 Georg-August-Universität Göttingen, Germany
+//
+//   Licensed under the Apache License, Version 2.0 (the "License");
+//   you may not use this file except in compliance with the License.
+//   You may obtain a copy of the License at
+//
+//       http://www.apache.org/licenses/LICENSE-2.0
+//
+//   Unless required by applicable law or agreed to in writing, software
+//   distributed under the License is distributed on an "AS IS" BASIS,
+//   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//   See the License for the specific language governing permissions and
+//   limitations under the License.
+
 package de.ugoe.cs.cpdp.eval;
 
@@ -7 +21 @@
 /**
  * Implements the {@link AbstractWekaEvaluation} for evaluation on the test data.
+ * 
  * @author Steffen Herbold
- *
+ * 
  */
 public class NormalWekaEvaluation extends AbstractWekaEvaluation {
 
-        /**
-         * @see de.ugoe.cs.cpdp.eval.AbstractWekaEvaluation#createEvaluator(weka.core.Instances, weka.classifiers.Classifier)
-         */
-        @Override
-        protected Evaluation createEvaluator(Instances testdata, Classifier classifier) {
-                try {
-                        final Evaluation eval = new Evaluation(testdata);
-                        eval.evaluateModel(classifier, testdata);
-                        return eval;
-                } catch (Exception e) {
-                        throw new RuntimeException(e);
-                }
-        }
+    /**
+     * @see de.ugoe.cs.cpdp.eval.AbstractWekaEvaluation#createEvaluator(weka.core.Instances,
+     *      weka.classifiers.Classifier)
+     */
+    @Override
+    protected Evaluation createEvaluator(Instances testdata, Classifier classifier) {
+        try {
+            final Evaluation eval = new Evaluation(testdata);
+            eval.evaluateModel(classifier, testdata);
+            return eval;
+        }
+        catch (Exception e) {
+            throw new RuntimeException(e);
+        }
+    }
 }