Changeset 23 for trunk/CrossPare/src/de/ugoe/cs/cpdp/training
- Timestamp:
- 11/05/14 11:59:28 (10 years ago)
- Location:
- trunk/CrossPare/src/de/ugoe/cs/cpdp/training
- Files:
-
- 1 edited
- 5 moved
Legend:
- Unmodified
- Added
- Removed
-
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/QuadTree.java
r17 r23 7 7 8 8 import weka.core.Instance; 9 import de.ugoe.cs.cpdp.training.WekaLocal Training2.QuadTreePayload;9 import de.ugoe.cs.cpdp.training.WekaLocalFQTraining.QuadTreePayload; 10 10 11 11 /** -
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaBaggingTraining.java
r22 r23 34 34 * 35 35 */ 36 public class WekaBaggingTraining 2 extends WekaBaseTraining2implements ISetWiseTrainingStrategy {36 public class WekaBaggingTraining extends WekaBaseTraining implements ISetWiseTrainingStrategy { 37 37 38 38 private final TraindatasetBagging classifier = new TraindatasetBagging(); -
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaBaseTraining.java
r22 r23 19 19 * Example: <trainer name="WekaClusterTraining2" param="RandomForestLocal weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5"/> 20 20 */ 21 public abstract class WekaBaseTraining 2implements WekaCompatibleTrainer {21 public abstract class WekaBaseTraining implements WekaCompatibleTrainer { 22 22 23 23 protected Classifier classifier = null; -
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaLocalEMTraining.java
r22 r23 37 37 * <trainer name="WekaClusterTraining2" param="NaiveBayes weka.classifiers.bayes.NaiveBayes" /> 38 38 */ 39 public class Weka ClusterTraining2 extends WekaBaseTraining2implements ITrainingStrategy {39 public class WekaLocalEMTraining extends WekaBaseTraining implements ITrainingStrategy { 40 40 41 41 private final TraindatasetCluster classifier = new TraindatasetCluster(); -
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaLocalFQTraining.java
r22 r23 42 42 * 8) We classify the Instance with the classifier and traindata from the Cluster we found in 7. 43 43 */ 44 public class WekaLocal Training2 extends WekaBaseTraining2implements ITrainingStrategy {44 public class WekaLocalFQTraining extends WekaBaseTraining implements ITrainingStrategy { 45 45 46 46 private final TraindatasetCluster classifier = new TraindatasetCluster(); -
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaTraining.java
r22 r23 27 27 * 28 28 */ 29 public class WekaTraining 2 extends WekaBaseTraining2implements ITrainingStrategy {29 public class WekaTraining extends WekaBaseTraining implements ITrainingStrategy { 30 30 31 31 @Override
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