2004-01-27 12:56 mhall * weka/build.xml (1.12): Removed javadoc old flag 2004-01-27 11:04 eibe * weka/gui/explorer/ClassifierPanel.java (1.72): Changed number of decimal places. 2004-01-27 10:54 dale * weka/gui/explorer/ClassifierPanel.java (1.71): Use ThresholdVisualisePanel to show area under ROC 2004-01-27 10:53 dale * weka/gui/visualize/ThresholdVisualizePanel.java (1.1): Panel to show area under ROC 2004-01-23 16:46 dale * weka/gui/experiment/SimpleSetupPanel.java (1.3): Added button for Database username,password 2004-01-23 16:43 eibe * weka/experiment/DatabaseUtils.props (1.3): Made idb the default again. 2004-01-23 16:37 dale * weka/gui/experiment/ResultsPanel.java (1.26): Added button for Database username,password 2004-01-23 16:35 dale * weka/experiment/DatabaseResultListener.java (1.8): Changes for Hypersonic Table/Column name case issues. 2004-01-23 16:33 dale * weka/experiment/DatabaseUtils.props.hsql (1.1): Properties file for Hypersonic 2004-01-23 16:29 eibe * weka/: filters/unsupervised/attribute/MergeTwoValues.java (1.4), filters/unsupervised/attribute/RandomProjection.java (1.2), filters/unsupervised/attribute/Remove.java (1.4), gui/GenericObjectEditor.props (1.93): Some small fixes/changes 2004-01-23 16:29 dale * weka/experiment/: DatabaseUtils.java (1.17), InstanceQuery.java (1.15), DatabaseUtils.props (1.2): Changes for more generic database access 2004-01-23 16:27 dale * weka/gui/DatabaseConnectionDialog.java (1.1): Dailog box for Database URL, username, password 2004-01-23 12:36 mhall * weka/gui/GenericObjectEditor.props (1.92): Added RBFNetwork.java 2004-01-23 12:35 mhall * weka/classifiers/functions/RBFNetwork.java (1.1): Initial import 2004-01-22 10:43 mhall * weka/classifiers/trees/m5/Rule.java (1.10): Made serializable 2004-01-21 21:24 eibe * weka/: associations/Tertius.java (1.1), associations/tertius/AttributeValueLiteral.java (1.3), associations/tertius/Tertius.java (1.3), attributeSelection/SVMAttributeEval.java (1.17), classifiers/functions/MultilayerPerceptron.java (1.1), classifiers/functions/PaceRegression.java (1.1), classifiers/functions/SMO.java (1.50), classifiers/functions/SMOreg.java (1.1), classifiers/functions/neural/NeuralNetwork.java (1.13), classifiers/functions/pace/PaceRegression.java (1.6), classifiers/functions/supportVector/SMO.java (1.9), classifiers/functions/supportVector/SMOreg.java (1.6), classifiers/lazy/KStar.java (1.1), classifiers/lazy/kstar/KStar.java (1.15), classifiers/meta/ClassificationViaRegression.java (1.20), classifiers/meta/Decorate.java (1.2), classifiers/meta/RegressionByDiscretization.java (1.29), classifiers/rules/PART.java (1.1), classifiers/rules/part/PART.java (1.22), classifiers/trees/ADTree.java (1.1), classifiers/trees/J48.java (1.1), classifiers/trees/LMT.java (1.1), classifiers/trees/M5P.java (1.1), classifiers/trees/adtree/ADTree.java (1.9), classifiers/trees/adtree/PredictionNode.java (1.4), classifiers/trees/j48/J48.java (1.30), classifiers/trees/lmt/LMT.java (1.6), classifiers/trees/m5/M5P.java (1.7), classifiers/trees/m5/Rule.java (1.9), classifiers/trees/m5/RuleNode.java (1.8), gui/GenericObjectEditor.props (1.91), gui/boundaryvisualizer/BoundaryPanel.java (1.19), gui/boundaryvisualizer/BoundaryPanelDistributed.java (1.5): Moved the main classes for several classifiers (and Tertius) out of their packages, e.g., weka.classifiers.trees.j48.J48 is now just weka.classifiers.trees.J48 2004-01-21 16:17 mhall * weka/classifiers/trees/m5/PreConstructedLinearModel.java (1.2): Made serializable 2004-01-21 11:38 mhall * weka/classifiers/trees/m5/: M5Base.java (1.9), M5P.java (1.6), PreConstructedLinearModel.java (1.1), Rule.java (1.8), RuleNode.java (1.7): M5 now prints smoothed linear models at the leaves. Code is now a bit more efficient - runs a little faster and uses less memory 2004-01-20 12:02 akibriya * weka/classifiers/bayes/NaiveBayesMultinomial.java (1.8): Fixed some small bugs. 2004-01-20 11:44 akibriya * weka/filters/unsupervised/attribute/StringToWordVector.java (1.7): Now the document frequencies are normalized to average document length instead of one. 2004-01-19 16:20 eibe * weka/classifiers/meta/: CVParameterSelection.java (1.26), RegressionByDiscretization.java (1.28): Fixed small bugs. 2004-01-19 14:56 eibe * weka/classifiers/functions/supportVector/SMO.java (1.8): Fixed a bug occuring with > 1 empty classes and E > 1. 2004-01-19 12:44 mhall * weka/filters/unsupervised/attribute/SwapValues.java (1.4): Fixed a couple tip text method names 2004-01-19 12:36 eibe * weka/filters/: supervised/attribute/AttributeSelection.java (1.2), supervised/attribute/ClassOrder.java (1.4), supervised/attribute/NominalToBinary.java (1.2), supervised/instance/Resample.java (1.3), supervised/instance/SpreadSubsample.java (1.3), unsupervised/attribute/FirstOrder.java (1.2), unsupervised/attribute/MergeTwoValues.java (1.3), unsupervised/attribute/NominalToBinary.java (1.4), unsupervised/attribute/Normalize.java (1.4), unsupervised/attribute/NumericToBinary.java (1.3), unsupervised/attribute/NumericTransform.java (1.2), unsupervised/attribute/ReplaceMissingValues.java (1.4), unsupervised/attribute/Standardize.java (1.4), unsupervised/attribute/StringToNominal.java (1.4), unsupervised/attribute/SwapValues.java (1.3): more filters with tool tips, etc. 2004-01-19 12:34 mhall * weka/filters/unsupervised/attribute/: AbstractTimeSeries.java (1.2), TimeSeriesDelta.java (1.2), TimeSeriesTranslate.java (1.3): Added online docs 2004-01-19 12:18 mhall * weka/filters/unsupervised/instance/: Randomize.java (1.2), RemoveWithValues.java (1.5), Resample.java (1.3): Added online docs 2004-01-19 11:27 eibe * weka/gui/: beans/PredictionAppender.java (1.3), visualize/PlotData2D.java (1.16): Fixed a few bugs related to yesterday's changes. 2004-01-18 20:51 eibe * weka/filters/unsupervised/attribute/Add.java (1.2): Changed index handling for Add.java 2004-01-18 20:22 eibe * weka/classifiers/: RandomizableClassifier.java (1.1), evaluation/MarginCurve.java (1.9), functions/supportVector/SMO.java (1.7), functions/supportVector/SMOreg.java (1.5): Some more changes related to tool tips. All the classifiers should have tool tips and global info now... Introduced super class RandomizableClassifier, which isn't currently extended by anything. 2004-01-18 17:51 eibe * weka/classifiers/: functions/Winnow.java (1.7), functions/supportVector/SMO.java (1.6), lazy/IB1.java (1.12), lazy/IBk.java (1.29), lazy/LWL.java (1.9), lazy/kstar/KStar.java (1.14): Some more tool tips, etc. 2004-01-18 14:57 mhall * weka/classifiers/functions/VotedPerceptron.java (1.17): Added online docs 2004-01-18 11:18 eibe * weka/classifiers/: IteratedSingleClassifierEnhancer.java (1.1), MultipleClassifiersCombiner.java (1.1), RandomizableIteratedSingleClassifierEnhancer.java (1.1), RandomizableMultipleClassifiersCombiner.java (1.1), RandomizableSingleClassifierEnhancer.java (1.1), SingleClassifierEnhancer.java (1.1), meta/AdaBoostM1.java (1.23), meta/Bagging.java (1.29), meta/CVParameterSelection.java (1.25), meta/ClassificationViaRegression.java (1.19), meta/IteratedSingleClassifierEnhancer.java (1.2), meta/LogitBoost.java (1.31), meta/MetaCost.java (1.14), meta/MultiScheme.java (1.17), meta/MultipleClassifiersCombiner.java (1.2), meta/RandomCommittee.java (1.5), meta/RandomizableIteratedSingleClassifierEnhancer.java (1.2), meta/RandomizableMultipleClassifiersCombiner.java (1.2), meta/RandomizableSingleClassifierEnhancer.java (1.2), meta/RegressionByDiscretization.java (1.27), meta/SingleClassifierEnhancer.java (1.3), meta/Stacking.java (1.22), meta/Vote.java (1.6): Moved some helper classes out of the meta package into the classifiers package. 2004-01-18 10:40 eibe * weka/classifiers/: bayes/BayesNetB2.java (1.3), bayes/BayesNetK2.java (1.3), functions/supportVector/SMO.java (1.5), meta/AdaBoostM1.java (1.22), meta/Bagging.java (1.28), meta/CVParameterSelection.java (1.24), meta/ClassificationViaRegression.java (1.18), meta/CostSensitiveClassifier.java (1.18), meta/FilteredClassifier.java (1.20), meta/LogitBoost.java (1.30), meta/MetaCost.java (1.13), meta/RandomCommittee.java (1.4), meta/RegressionByDiscretization.java (1.26), meta/SingleClassifierEnhancer.java (1.2), misc/FLR.java (1.2), trees/REPTree.java (1.17): More changes related to option handling, tool tips, etc. Small bug fix in SMO (initizliation wasn't correct in special case). Changed RegressionByDiscretization back to old behaviour. 2004-01-17 22:21 eibe * weka/classifiers/meta/: AdaBoostM1.java (1.21), Bagging.java (1.27), ClassificationViaRegression.java (1.17), Grading.java (1.4), LogitBoost.java (1.29), MetaCost.java (1.12), RandomizableSingleClassifierEnhancer.java (1.1), Stacking.java (1.21), StackingC.java (1.8): Some more changes relating to tool tips, etc. Tightened up some code. 2004-01-17 20:13 eibe * weka/classifiers/meta/: MultiScheme.java (1.16), MultipleClassifiersCombiner.java (1.1), RandomizableMultipleClassifiersCombiner.java (1.1), Stacking.java (1.20), StackingC.java (1.7), Vote.java (1.5): Some more changes related to option handling. 2004-01-17 15:56 eibe * weka/classifiers/: Classifier.java (1.10), meta/AdaBoostM1.java (1.20), meta/Bagging.java (1.26), meta/IteratedSingleClassifierEnhancer.java (1.1), meta/MultiBoostAB.java (1.5), meta/RandomizableIteratedSingleClassifierEnhancer.java (1.1), meta/RegressionByDiscretization.java (1.25), meta/SingleClassifierEnhancer.java (1.1): Every classifier now implements OptionHandler. Added some super classes for unifying the option handling in some meta classifiers. 2004-01-17 13:44 eibe * weka/gui/GenericObjectEditor.props (1.90): Name change. 2004-01-17 10:42 mhall * weka/classifiers/: bayes/AODE.java (1.7), functions/SimpleLinearRegression.java (1.5): Added online docs 2004-01-17 10:03 eibe * weka/classifiers/meta/: AdaBoostM1.java (1.19), MultiBoostAB.java (1.4), MultiScheme.java (1.15), RegressionByDiscretization.java (1.24), Stacking.java (1.19), StackingC.java (1.6), Vote.java (1.4): Added some more tool tips. Tightened up some code. Note: behaviour of MultiBoostAB has changed slightly because num_subcommittees_parameter is used slightly differently. 2004-01-16 17:09 mhall * weka/classifiers/: functions/pace/PaceRegression.java (1.5), functions/LeastMedSq.java (1.9), functions/LinearRegression.java (1.19), functions/Logistic.java (1.32), bayes/NaiveBayes.java (1.15), bayes/NaiveBayesMultinomial.java (1.7), bayes/NaiveBayesSimple.java (1.12), bayes/NaiveBayesUpdateable.java (1.4): Added online docs 2004-01-16 17:09 eibe * weka/classifiers/: misc/HyperPipes.java (1.15), trees/Id3.java (1.11), trees/RandomForest.java (1.5), trees/adtree/ADTree.java (1.8), trees/j48/J48.java (1.29): Added tool tips for a few more classifiers. 2004-01-16 16:29 eibe * weka/classifiers/: rules/ConjunctiveRule.java (1.10), rules/DecisionTable.java (1.27), rules/JRip.java (1.13), rules/M5Rules.java (1.3), rules/NNge.java (1.1), rules/Nnge.java (1.3), rules/OneR.java (1.16), rules/Prism.java (1.16), rules/Ridor.java (1.10), rules/ZeroR.java (1.10), rules/part/PART.java (1.21), trees/DecisionStump.java (1.18), trees/REPTree.java (1.16), trees/RandomTree.java (1.7), trees/m5/M5Base.java (1.8), trees/m5/M5P.java (1.5): Added tool tips and global info to several classifiers. Renamed Nnge to NNge (based on name of class). 2004-01-16 12:35 eibe * weka/filters/unsupervised/attribute/ClusterMembership.java (1.4): Changed to use density rather than cluster membership probability. 2004-01-16 12:16 eibe * weka/clusterers/: ClusterEvaluation.java (1.23), Clusterer.java (1.10), DensityBasedClusterer.java (1.1), DistributionClusterer.java (1.11), DistributionMetaClusterer.java (1.11), EM.java (1.25), MakeDensityBasedClusterer.java (1.1): Some renaming and restructuring. 2004-01-15 17:16 eibe * weka/clusterers/SimpleKMeans.java (1.13): SimpleKMeans uses less memory now. 2004-01-15 16:04 eibe * weka/clusterers/: DistributionMetaClusterer.java (1.10), EM.java (1.24): Changed computation of variance in DistributionMetaClusterer back to ML estimate. EM should now be able to deal with weighted instances. 2004-01-15 14:02 eibe * weka/clusterers/DistributionMetaClusterer.java (1.9): Now implements WeightedInstancesHandler. Standard deviations are computed differently. Minimum standard deviation can be set by the user. 2004-01-15 13:49 eibe * weka/clusterers/SimpleKMeans.java (1.12): Eliminated sqrt() from distance calculation. Implements WeightedInstancesHandler. 2004-01-15 12:17 eibe * weka/clusterers/SimpleKMeans.java (1.11): Fixed bug in computation of standard deviations. Made it a bit faster. Initial cluster centers are now chosen based on distribution closer to uniform distribution over instances. 2004-01-14 17:05 mhall * weka/gui/beans/: CrossValidationFoldMaker.java (1.5), TrainTestSplitMaker.java (1.4): Changed seed to be consistent with Explorer 2004-01-14 16:29 eibe * weka/filters/unsupervised/attribute/ClusterMembership.java (1.3): Some changes. 2004-01-14 16:24 mhall * weka/filters/unsupervised/attribute/AddCluster.java (1.3): Some fixes to make it work properly. It now automatically ignores the class (if set) during clustering 2004-01-14 14:57 eibe * weka/core/Utils.java (1.38): logs2probs had unintended side effect. 2004-01-14 14:57 eibe * weka/clusterers/: ClusterEvaluation.java (1.22), DistributionClusterer.java (1.10), DistributionMetaClusterer.java (1.8), EM.java (1.23): Logification: things are numerically more stable now. 2004-01-14 12:07 eibe * weka/clusterers/DistributionClusterer.java (1.9): resurrected 2004-01-13 16:44 eibe * weka/filters/unsupervised/attribute/ClusterMembership.java (1.2): Some fixes. 2004-01-13 15:12 mhall * weka/gui/GenericObjectEditor.props (1.89): Added ClusterMembership filter 2004-01-13 15:11 mhall * weka/filters/unsupervised/attribute/ClusterMembership.java (1.1): Initial import 2004-01-12 17:28 mhall * weka/attributeSelection/OneRAttributeEval.java (1.14): Added options to control cross validation parameters and to allow the user to opt for using the training data to evaluate attribute goodness (rather than x-val). Can now also specify the minimum bucket size for OneR. 2004-01-10 20:39 eibe * weka/classifiers/meta/MultiClassClassifier.java (1.35): Pairwise classification works now if two classes are empty. 2004-01-09 14:00 mhall * weka/classifiers/functions/neural/NeuralNetwork.java (1.12): Fixed so that option click acts as right button on Macs 2004-01-09 12:09 eibe * weka/classifiers/functions/Logistic.java (1.31): Finished model uses a lot less memory now. 2004-01-09 11:17 mhall * weka/gui/treevisualizer/TreeVisualizer.java (1.7): Fixed so that option click acts as right button on Macs 2004-01-08 16:49 mhall * weka/clusterers/DistributionMetaClusterer.java (1.7): Now fits normal and discrete estimators to clusters produced by the wrapped clusterer 2004-01-08 16:47 mhall * weka/clusterers/DistributionClusterer.java (1.8): Removed from repository 2004-01-08 12:37 mhall * weka/gui/LogPanel.java (1.14): Fixed so that right click (using option/alt key) on Macs with one mouse button now works 2004-01-06 10:17 eibe * weka/classifiers/meta/MultiClassClassifier.java (1.34): Changed random code generation dependend on input data (i.e. seed is now based on an instance chosen from the input data). 2004-01-05 09:17 eibe * weka/: classifiers/meta/Decorate.java (1.1), classifiers/misc/FLR.java (1.1), gui/GenericObjectEditor.props (1.88): Added to classifiers that have been contributed: Decorate.java and FLR.java 2003-12-19 10:48 eibe * weka/filters/unsupervised/instance/RemoveMisclassified.java (1.2): Changed RemoveMisclassified to just remove instances from the first batch. Now it can be used together with the FilteredClassifier. 2003-12-18 11:28 eibe * weka/: core/Utils.java (1.37), experiment/RandomSplitResultProducer.java (1.16): Added method for probabilistic rounding in Utils.java and changed the RandomSplitResultsProducer to use this method. Previously there was the potential for slight bias in the class distribution due to rounding in the stratification phase. 2003-12-17 14:15 akibriya * weka/classifiers/bayes/ComplementNaiveBayes.java (1.2): Fixed a bug so it can be used without setting any options. 2003-12-16 17:26 eibe * weka/gui/: GUIChooser.java (1.12), ResultHistoryPanel.java (1.18), explorer/AssociationsPanel.java (1.17), explorer/AttributeSelectionPanel.java (1.30), explorer/ClassifierPanel.java (1.70), explorer/ClustererPanel.java (1.42), explorer/Explorer.java (1.28), explorer/PreprocessPanel.java (1.37), visualize/AttributePanel.java (1.9), visualize/ClassPanel.java (1.12), visualize/LegendPanel.java (1.4), visualize/MatrixPanel.java (1.7), visualize/Plot2D.java (1.20), visualize/VisualizePanel.java (1.20): Weka Explorer is now just Explorer. 2003-12-16 13:42 eibe * weka/classifiers/functions/supportVector/SMO.java (1.4): SMO should be quite a bit faster now: the data wasn't randomized after it was split into two-class problems (even if the original problem only had two classes). 2003-12-15 09:33 mhall * weka/attributeSelection/: BestFirst.java (1.23), CfsSubsetEval.java (1.19): Modified to improve memory usage on data sets with many features 2003-12-12 12:42 eibe * weka/gui/visualize/Plot2D.java (1.19): Changed access for some variables from private to protected. 2003-12-05 17:41 eibe * weka/core/Instances.java (1.49): Fixed a bug that I just introduced with my new code. 2003-12-05 16:39 eibe * weka/: attributeSelection/AttributeSelection.java (1.31), attributeSelection/OneRAttributeEval.java (1.13), attributeSelection/RaceSearch.java (1.12), attributeSelection/WrapperSubsetEval.java (1.21), classifiers/Evaluation.java (1.49), classifiers/evaluation/EvaluationUtils.java (1.9), classifiers/functions/supportVector/SMO.java (1.3), classifiers/meta/CVParameterSelection.java (1.23), classifiers/meta/Grading.java (1.3), classifiers/meta/LogitBoost.java (1.28), classifiers/meta/MultiScheme.java (1.14), classifiers/meta/OrdinalClassClassifier.java (1.10), classifiers/meta/RandomCommittee.java (1.3), classifiers/meta/Stacking.java (1.18), classifiers/meta/StackingC.java (1.5), classifiers/meta/ThresholdSelector.java (1.29), classifiers/rules/ConjunctiveRule.java (1.9), classifiers/rules/JRip.java (1.12), classifiers/rules/Ridor.java (1.9), classifiers/rules/part/MakeDecList.java (1.12), classifiers/rules/part/PART.java (1.20), classifiers/trees/REPTree.java (1.15), classifiers/trees/RandomTree.java (1.6), classifiers/trees/j48/J48.java (1.28), classifiers/trees/j48/PruneableClassifierTree.java (1.8), clusterers/ClusterEvaluation.java (1.21), clusterers/EM.java (1.22), core/Instances.java (1.48), experiment/CrossValidationResultProducer.java (1.13), gui/beans/CrossValidationFoldMaker.java (1.4), gui/explorer/AttributeSelectionPanel.java (1.29), gui/explorer/ClassifierPanel.java (1.69): Cross-validation now randomizes the data within each training fold before it is passed to the learning scheme. This is important for schemes that are sensitive to the order in the training data (in particular, those ones that create a random number generator based on a selected instance in the training data). Previously we have assumed that the Classifier itself will randomize the data if necessary. (The same change applies to various meta-classifiers, etc, as well.) 2003-12-05 13:49 eibe * weka/filters/supervised/attribute/ClassOrder.java (1.3): Re-wrote large chunks of ClassOrder. 2003-12-01 17:10 akibriya * weka/classifiers/bayes/NaiveBayesMultinomial.java (1.6): Commented out the factorial terms used in calculating prob(word|class), as it doesn't make any difference in classifier's results and is unnecessary. 2003-11-28 12:12 eibe * weka/classifiers/BVDecomposeSegCVSub.java (1.1): Initial import. 2003-11-27 17:31 akibriya * weka/gui/GenericObjectEditor.props (1.87): Added RandomProjection filter. 2003-11-27 17:30 akibriya * weka/filters/unsupervised/attribute/RandomProjection.java (1.1): Initial import. 2003-11-27 13:43 akibriya * weka/core/Stopwords.java (1.1): Initial import. 2003-11-27 13:39 akibriya * weka/filters/unsupervised/attribute/StringToWordVector.java (1.6): Added a range of options to complement the new ComplementNaiveBayes classifier. 2003-11-27 13:35 akibriya * weka/gui/GenericObjectEditor.props (1.86): Added ComplementNaiveBayes classifier. 2003-11-27 13:34 akibriya * weka/classifiers/bayes/ComplementNaiveBayes.java (1.1): Initial import. 2003-11-27 12:14 mhall * weka/classifiers/trees/m5/: Rule.java (1.7), RuleNode.java (1.6): Fixed a bug relating to minNumInstances 2003-11-26 09:54 eibe * weka/gui/experiment/ResultsPanel.java (1.25): Fixed bug 2003-11-24 17:38 eibe * weka/gui/experiment/ResultsPanel.java (1.24): Introduced a split panel in the results panel. 2003-11-24 09:01 eibe * weka/gui/explorer/ClassifierPanel.java (1.68): Relative errors for cross-validation were different from command-line estimates because calculation of the mean was not done based on each training fold. 2003-11-24 08:57 eibe * weka/classifiers/trees/j48/C45PruneableClassifierTree.java (1.11): Fixed bug in J48. Empty leaves didn't get flagged as non-empty if they became populated after subtree raising had occurred. This could affect probability estimates for instances with missing values (in cases where leaves were empty before pruning, subtree raising actually occurred, and the missing attribute was tested immediately above the previously empty leaf). 2003-11-20 16:38 eibe * weka/classifiers/trees/j48/: BinC45Split.java (1.8), C45Split.java (1.8): Made a change that affects probability estimates for empty leaves. 2003-11-20 11:15 eibe * weka/classifiers/meta/RegressionByDiscretization.java (1.23): Fixed bug: didn't use to work for datasets with missing class values 2003-11-19 14:03 eibe * weka/: classifiers/meta/RegressionByDiscretization.java (1.22), filters/unsupervised/attribute/Discretize.java (1.6): Another small fix. 2003-11-19 11:11 eibe * weka/filters/: supervised/attribute/Discretize.java (1.3), unsupervised/attribute/Discretize.java (1.5), unsupervised/attribute/PotentialClassIgnorer.java (1.2): Fixed a bug. Also: split points are now put half-way between values in supervised.attribute.Discretize. 2003-11-18 17:45 eibe * weka/: classifiers/functions/supportVector/SMOreg.java (1.4), classifiers/meta/RegressionByDiscretization.java (1.21), filters/Filter.java (1.23), filters/unsupervised/attribute/Discretize.java (1.4), filters/unsupervised/attribute/Normalize.java (1.3), filters/unsupervised/attribute/NumericToBinary.java (1.2), filters/unsupervised/attribute/PotentialClassIgnorer.java (1.1), filters/unsupervised/attribute/ReplaceMissingValues.java (1.3), filters/unsupervised/attribute/Standardize.java (1.3): Made it possible for some unsupervised attribute filters to ignore class (or not). 2003-11-17 14:08 eibe * weka/: core/Instances.java (1.47), filters/supervised/attribute/Discretize.java (1.2), filters/unsupervised/instance/RemoveWithValues.java (1.4): Removed numeric padding in tests. 2003-11-14 11:10 eibe * weka/classifiers/meta/AdditiveRegression.java (1.14): Yesterday's fix wasn't quite the right thing. Fixed it properly (and made it faster, too :-). 2003-11-13 17:31 eibe * weka/classifiers/meta/AdditiveRegression.java (1.13): Fixed bug that resulted in reduced performance when shrinkage parameter was set to value different from 1. 2003-11-13 12:03 eibe * weka/: classifiers/meta/AttributeSelectedClassifier.java (1.14), classifiers/meta/CVParameterSelection.java (1.22), classifiers/meta/CostSensitiveClassifier.java (1.17), classifiers/meta/FilteredClassifier.java (1.19), classifiers/meta/ThresholdSelector.java (1.28), core/Drawable.java (1.7): Made a few more meta classifiers implement Drawable. 2003-11-12 14:06 mhall * weka/build.xml (1.11): Updated build file 2003-11-12 13:27 eibe * weka/: Makefile (1.40), associations/Makefile (1.4), attributeSelection/Makefile (1.16), classifiers/Makefile (1.30), classifiers/bayes/Makefile (1.8), classifiers/evaluation/Makefile (1.6), classifiers/functions/Makefile (1.8), classifiers/functions/neural/Makefile (1.2), classifiers/functions/pace/Makefile (1.3), classifiers/functions/supportVector/Makefile (1.2), classifiers/lazy/Makefile (1.6), classifiers/lazy/kstar/Makefile (1.4), classifiers/meta/Makefile (1.8), classifiers/misc/Makefile (1.2), classifiers/rules/Makefile (1.6), classifiers/rules/part/Makefile (1.2), classifiers/trees/Makefile (1.6), classifiers/trees/adtree/Makefile (1.2), classifiers/trees/j48/Makefile (1.4), classifiers/trees/lmt/Makefile (1.2), classifiers/trees/m5/Makefile (1.4), clusterers/Makefile (1.6), core/Makefile (1.14), core/converters/Makefile (1.2), datagenerators/Makefile (1.2), estimators/Makefile (1.3), experiment/Makefile (1.14), filters/Makefile (1.27), filters/supervised/Makefile (1.2), filters/supervised/attribute/Makefile (1.2), filters/supervised/instance/Makefile (1.2), filters/unsupervised/Makefile (1.2), filters/unsupervised/attribute/Makefile (1.6), filters/unsupervised/instance/Makefile (1.2), gui/Makefile (1.22), gui/beans/Makefile (1.4), gui/boundaryvisualizer/Makefile (1.3), gui/experiment/Makefile (1.6), gui/explorer/Makefile (1.7), gui/graphvisualizer/Makefile (1.2), gui/streams/Makefile (1.3), gui/treevisualizer/Makefile (1.2), gui/visualize/Makefile (1.6): Removed all Makefiles because we use ant to compile weka. There is no point in maintaining them. 2003-11-12 11:39 eibe * weka/classifiers/meta/Bagging.java (1.25): Changed bagging so that weights are properly taken into account even if out-of-bag error is calculated. 2003-11-12 11:07 eibe * weka/classifiers/functions/LeastMedSq.java (1.8): Behaviour of RemoveRange has changed. 2003-11-12 11:00 mhall * weka/gui/beans/FilterBeanInfo.java (1.3): Javadoc fix 2003-11-12 10:13 eibe * weka/classifiers/: meta/CVParameterSelection.java (1.21), trees/RandomTree.java (1.5): Two tiny changes.