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

trunk/CrossPare/src/de/ugoe/cs/cpdp/training/RandomClass.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.training;
 
@@ -11 +25 @@
  * Assigns a random class label to the instance it is evaluated on.
  * 
- * The range of class labels are hardcoded in fixedClassValues.
- * This can later be extended to take values from the XML configuration. 
+ * The range of class labels are hardcoded in fixedClassValues. This can later be extended to take
+ * values from the XML configuration.
  */
-public class RandomClass extends AbstractClassifier implements ITrainingStrategy, IWekaCompatibleTrainer {
+public class RandomClass extends AbstractClassifier implements ITrainingStrategy,
+    IWekaCompatibleTrainer
+{
 
-        private static final long serialVersionUID = 1L;
+    private static final long serialVersionUID = 1L;
 
-        private double[] fixedClassValues = {0.0d, 1.0d};
-        
-        @Override
-        public void setParameter(String parameters) {
-                // do nothing, maybe take percentages for distribution later
-        }
+    private double[] fixedClassValues =
+        { 0.0d, 1.0d };
 
-        @Override
-        public void buildClassifier(Instances arg0) throws Exception {
-                // do nothing
-        }
+    @Override
+    public void setParameter(String parameters) {
+        // do nothing, maybe take percentages for distribution later
+    }
 
-        @Override
-        public Classifier getClassifier() {
-                return this;
-        }
+    @Override
+    public void buildClassifier(Instances arg0) throws Exception {
+        // do nothing
+    }
 
-        @Override
-        public void apply(Instances traindata) {
-                // nothing to do
-        }
+    @Override
+    public Classifier getClassifier() {
+        return this;
+    }
 
-        @Override
-        public String getName() {
-                return "RandomClass";
-        }
-        
-        @Override
-        public double classifyInstance(Instance instance) {
-                Random rand = new Random();
-            int randomNum = rand.nextInt(this.fixedClassValues.length);
-                return this.fixedClassValues[randomNum];
-        }
+    @Override
+    public void apply(Instances traindata) {
+        // nothing to do
+    }
+
+    @Override
+    public String getName() {
+        return "RandomClass";
+    }
+
+    @Override
+    public double classifyInstance(Instance instance) {
+        Random rand = new Random();
+        int randomNum = rand.nextInt(this.fixedClassValues.length);
+        return this.fixedClassValues[randomNum];
+    }
 }