Changeset 25 for trunk/CrossPare/src/de/ugoe/cs
- Timestamp:
- 11/05/14 17:40:10 (10 years ago)
- Location:
- trunk/CrossPare/src/de/ugoe/cs/cpdp/training
- Files:
-
- 5 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaBaggingTraining.java
r23 r25 23 23 * 24 24 * all subsequent parameters are configuration params (for example for trees) 25 * Cross Validation params always come last and are prepended with -CVPARAM 25 26 * 26 27 * XML Configurations for Weka Classifiers: … … 28 29 * {@code 29 30 * <!-- examples --> 30 * <setwisetrainer name="WekaBaggingTraining 2" param="NaiveBayesBagging weka.classifiers.bayes.NaiveBayes" />31 * <setwisetrainer name="WekaBaggingTraining 2" param="LogisticBagging weka.classifiers.functions.Logistic -R 1.0E-8 -M -1" />31 * <setwisetrainer name="WekaBaggingTraining" param="NaiveBayesBagging weka.classifiers.bayes.NaiveBayes" /> 32 * <setwisetrainer name="WekaBaggingTraining" param="LogisticBagging weka.classifiers.functions.Logistic -R 1.0E-8 -M -1" /> 32 33 * } 33 34 * </pre> -
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaBaseTraining.java
r24 r25 16 16 * 17 17 * Important conventions of the XML format: 18 * Cross Validation params come alwayslast and are prepended with -CVPARAM19 * Example: <trainer name="Weka ClusterTraining2" param="RandomForestLocal weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5"/>18 * Cross Validation params always come last and are prepended with -CVPARAM 19 * Example: <trainer name="WekaTraining" param="RandomForestLocal weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5"/> 20 20 */ 21 21 public abstract class WekaBaseTraining implements IWekaCompatibleTrainer { -
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaLocalEMTraining.java
r23 r25 22 22 23 23 /** 24 * WekaClusterTraining2 25 * 24 * WekaLocalEMTraining 25 * 26 * Local Trainer with EM Clustering for data partitioning. 26 27 * Currently supports only EM Clustering. 27 28 * … … 35 36 * 36 37 * <!-- cluster trainer --> 37 * <trainer name="Weka ClusterTraining2" param="NaiveBayes weka.classifiers.bayes.NaiveBayes" />38 * <trainer name="WekaLocalEMTraining" param="NaiveBayes weka.classifiers.bayes.NaiveBayes" /> 38 39 */ 39 40 public class WekaLocalEMTraining extends WekaBaseTraining implements ITrainingStrategy { -
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaLocalFQTraining.java
r23 r25 30 30 * IEEE Transactions on Software Engineering, vol. 39, no. 6, pp. 822-834, June, 2013 31 31 * 32 * With WekaLocal Training2we do the following:32 * With WekaLocalFQTraining we do the following: 33 33 * 1) Run the Fastmap algorithm on all training data, let it calculate the 2 most significant 34 34 * dimensions and projections of each instance to these dimensions -
trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaTraining.java
r23 r25 16 16 * 17 17 * all subsequent parameters are configuration params (for example for trees) 18 * Cross Validation params always come last and are prepended with -CVPARAM 18 19 * 19 20 * XML Configurations for Weka Classifiers: … … 21 22 * {@code 22 23 * <!-- examples --> 23 * <trainer name="WekaTraining 2" param="NaiveBayes weka.classifiers.bayes.NaiveBayes" />24 * <trainer name="WekaTraining 2" param="Logistic weka.classifiers.functions.Logistic -R 1.0E-8 -M -1" />24 * <trainer name="WekaTraining" param="NaiveBayes weka.classifiers.bayes.NaiveBayes" /> 25 * <trainer name="WekaTraining" param="Logistic weka.classifiers.functions.Logistic -R 1.0E-8 -M -1" /> 25 26 * } 26 27 * </pre>
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