Changeset 41 for trunk/CrossPare/src/de/ugoe/cs/cpdp/dataprocessing/Resampling.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/dataprocessing/Resampling.java (modified) (2 diffs)

trunk/CrossPare/src/de/ugoe/cs/cpdp/dataprocessing/Resampling.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.dataprocessing;
 
@@ -8 +22 @@
 
 /**
- * Resamples the data with WEKA {@link Resample} to have a uniform distribution among all classes.   
+ * Resamples the data with WEKA {@link Resample} to have a uniform distribution among all classes.
+ * 
  * @author Steffen Herbold
  */
-public class Resampling implements IProcessesingStrategy,
-                ISetWiseProcessingStrategy {
+public class Resampling implements IProcessesingStrategy, ISetWiseProcessingStrategy {
 
-        
-        /**
-         * Does not have parameters. String is ignored.
-         * @param parameters ignored
-         */
-        @Override
-        public void setParameter(String parameters) {
-                // dummy
-        }
+    /**
+     * Does not have parameters. String is ignored.
+     * 
+     * @param parameters
+     *            ignored
+     */
+    @Override
+    public void setParameter(String parameters) {
+        // dummy
+    }
 
-        /*
-         * (non-Javadoc)
-         * @see de.ugoe.cs.cpdp.dataprocessing.ISetWiseProcessingStrategy#apply(weka.core.Instances, org.apache.commons.collections4.list.SetUniqueList)
-         */
-        @Override
-        public void apply(Instances testdata, SetUniqueList<Instances> traindataSet) {
-                for( Instances traindata : traindataSet ) {
-                        apply(testdata, traindata);
-                }
-        }
+    /*
+     * (non-Javadoc)
+     * 
+     * @see de.ugoe.cs.cpdp.dataprocessing.ISetWiseProcessingStrategy#apply(weka.core.Instances,
+     * org.apache.commons.collections4.list.SetUniqueList)
+     */
+    @Override
+    public void apply(Instances testdata, SetUniqueList<Instances> traindataSet) {
+        for (Instances traindata : traindataSet) {
+            apply(testdata, traindata);
+        }
+    }
 
-        /*
-         * (non-Javadoc)
-         * @see de.ugoe.cs.cpdp.dataprocessing.IProcessesingStrategy#apply(weka.core.Instances, weka.core.Instances)
-         */
-        @Override
-        public void apply(Instances testdata, Instances traindata) {
-                Resample resample = new Resample();
-                resample.setSampleSizePercent(100);
-                resample.setBiasToUniformClass(1.0);
-                
-                Instances traindataSample;
-                try {
-                        resample.setInputFormat(traindata);
-                        traindataSample = Filter.useFilter(traindata, resample);
-                } catch (Exception e) {
-                        throw new RuntimeException(e);
-                }
-                traindata.clear();
-                for( int i=0 ; i<traindataSample.size() ; i++ ) {
-                        traindata.add(traindataSample.get(i));
-                }
-        }
+    /*
+     * (non-Javadoc)
+     * 
+     * @see de.ugoe.cs.cpdp.dataprocessing.IProcessesingStrategy#apply(weka.core.Instances,
+     * weka.core.Instances)
+     */
+    @Override
+    public void apply(Instances testdata, Instances traindata) {
+        Resample resample = new Resample();
+        resample.setSampleSizePercent(100);
+        resample.setBiasToUniformClass(1.0);
+
+        Instances traindataSample;
+        try {
+            resample.setInputFormat(traindata);
+            traindataSample = Filter.useFilter(traindata, resample);
+        }
+        catch (Exception e) {
+            throw new RuntimeException(e);
+        }
+        traindata.clear();
+        for (int i = 0; i < traindataSample.size(); i++) {
+            traindata.add(traindataSample.get(i));
+        }
+    }
 
 }