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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 fix2003-11-12 10:13  eibe	* weka/classifiers/: meta/CVParameterSelection.java (1.21),	trees/RandomTree.java (1.5): Two tiny changes.2003-11-11 18:29  eibe	* weka/classifiers/functions/supportVector/SMOreg.java (1.3):	Another try.2003-11-11 17:38  eibe	* weka/classifiers/meta/CVParameterSelection.java (1.20): Fixed	problem resulting in multiple entries in results table when	Experimenter is used.2003-11-11 16:38  akibriya	* weka/gui/experiment/AlgorithmListPanel.java (1.5): Added support	for GenericArrayEditor to be able to use "Object[]" objects.2003-11-11 16:35  eibe	* weka/classifiers/meta/StackingC.java (1.4): Fixed problem	resulting from changing Range.java2003-11-11 16:32  akibriya	* weka/gui/: beans/FilterCustomizer.java (1.4),	explorer/AttributeSelectionPanel.java (1.28): Added support for	GenericArrayEditor to be able to use "Object[]" objects.2003-11-11 16:26  akibriya	* weka/gui/beans/LoaderCustomizer.java (1.3): Added support for	GenericArrayEditor to be able to use "Object[]" objects.2003-11-11 16:18  akibriya	* weka/: classifiers/trees/UserClassifier.java (1.15),	gui/beans/ClassifierCustomizer.java (1.5): Added support for	GenericArrayEditor to be able to use "Object[]" objects.2003-11-11 16:04  akibriya	* weka/gui/experiment/SetupPanel.java (1.21): Added support for	GenericArrayEditor to be able to use "Object[]" objects.2003-11-11 15:17  eibe	* weka/classifiers/functions/Logistic.java (1.30): Made some small	changes hoping to improve speed (but they didn't really help.2003-11-10 18:26  eibe	* weka/filters/unsupervised/attribute/StringToWordVector.java	(1.5): Fixed bug due to new behaviour of Range.java.2003-11-10 18:13  eibe	* weka/classifiers/meta/: CVParameterSelection.java (1.19),	OrdinalClassClassifier.java (1.9), RegressionByDiscretization.java	(1.20): Fixed a couple of bugs.2003-11-10 18:13  eibe	* weka/filters/Filter.java (1.22): Fixed bug in Filter.	bufferInstance() changed pointer to dataset before the instance was	copied.2003-11-10 17:34  eibe	* weka/filters/unsupervised/attribute/RemoveType.java (1.4): Fixed	bug.2003-11-10 17:05  eibe	* weka/filters/unsupervised/attribute/Remove.java (1.3): Fixed bug.2003-11-10 16:13  eibe	* weka/classifiers/: DistributionClassifier.java (1.6),	meta/DistributionMetaClassifier.java (1.9): Forgot to actually	remove DistributionClassifier and DistributionMetaClassifier.2003-11-10 15:20  eibe	* weka/: attributeSelection/ClassifierSubsetEval.java (1.10),	classifiers/CheckClassifier.java (1.15),	classifiers/Classifier.java (1.9), classifiers/Evaluation.java	(1.48), classifiers/bayes/AODE.java (1.6),	classifiers/bayes/BayesNet.java (1.10),	classifiers/bayes/NaiveBayes.java (1.14),	classifiers/bayes/NaiveBayesMultinomial.java (1.5),	classifiers/bayes/NaiveBayesSimple.java (1.11),	classifiers/evaluation/CostCurve.java (1.6),	classifiers/evaluation/EvaluationUtils.java (1.8),	classifiers/evaluation/MarginCurve.java (1.8),	classifiers/evaluation/ThresholdCurve.java (1.17),	classifiers/functions/Logistic.java (1.29),	classifiers/functions/SimpleLogistic.java (1.4),	classifiers/functions/VotedPerceptron.java (1.16),	classifiers/functions/neural/NeuralNetwork.java (1.11),	classifiers/functions/supportVector/SMO.java (1.2),	classifiers/lazy/IBk.java (1.28), classifiers/lazy/LBR.java (1.4),	classifiers/lazy/LWL.java (1.8), classifiers/lazy/kstar/KStar.java	(1.13), classifiers/meta/AdaBoostM1.java (1.18),	classifiers/meta/AttributeSelectedClassifier.java (1.13),	classifiers/meta/Bagging.java (1.24),	classifiers/meta/ClassificationViaRegression.java (1.16),	classifiers/meta/CostSensitiveClassifier.java (1.16),	classifiers/meta/FilteredClassifier.java (1.18),	classifiers/meta/Grading.java (1.2),	classifiers/meta/LogitBoost.java (1.27),	classifiers/meta/MultiBoostAB.java (1.3),	classifiers/meta/MultiClassClassifier.java (1.33),	classifiers/meta/MultiScheme.java (1.13),	classifiers/meta/OrdinalClassClassifier.java (1.8),	classifiers/meta/RacedIncrementalLogitBoost.java (1.3),	classifiers/meta/RandomCommittee.java (1.2),	classifiers/meta/RegressionByDiscretization.java (1.19),	classifiers/meta/Stacking.java (1.17),	classifiers/meta/StackingC.java (1.3),	classifiers/meta/ThresholdSelector.java (1.27),	classifiers/meta/Vote.java (1.3), classifiers/misc/HyperPipes.java	(1.14), classifiers/misc/VFI.java (1.9),	classifiers/rules/ConjunctiveRule.java (1.8),	classifiers/rules/DecisionTable.java (1.26),	classifiers/rules/JRip.java (1.11), classifiers/rules/ZeroR.java	(1.9), classifiers/rules/part/PART.java (1.19),	classifiers/trees/DecisionStump.java (1.17),	classifiers/trees/Id3.java (1.10), classifiers/trees/REPTree.java	(1.14), classifiers/trees/RandomForest.java (1.4),	classifiers/trees/RandomTree.java (1.4),	classifiers/trees/UserClassifier.java (1.14),	classifiers/trees/adtree/ADTree.java (1.7),	classifiers/trees/j48/J48.java (1.27),	classifiers/trees/lmt/LMT.java (1.5),	classifiers/trees/lmt/LogisticBase.java (1.2),	gui/GenericObjectEditor.props (1.85),	gui/beans/BatchClassifierEvent.java (1.2),	gui/beans/IncrementalClassifierEvaluator.java (1.6),	gui/beans/IncrementalClassifierEvent.java (1.3),	gui/beans/PredictionAppender.java (1.2),	gui/boundaryvisualizer/BoundaryPanel.java (1.18),	gui/boundaryvisualizer/BoundaryPanelDistributed.java (1.4),	gui/boundaryvisualizer/BoundaryVisualizer.java (1.12),	gui/boundaryvisualizer/RemoteBoundaryVisualizerSubTask.java (1.2),	gui/experiment/AlgorithmListPanel.java (1.4),	gui/experiment/SetupPanel.java (1.20),	gui/explorer/AttributeSelectionPanel.java (1.27),	gui/explorer/ClassifierPanel.java (1.67): DistributionClassifier is	gone. Every classifier implments distributionForInstance() now. The	advantages simply outweigh the disadvantages.2003-11-10 12:20  eibe	* weka/classifiers/meta/AdditiveRegression.java (1.12): Made 10	default number of max. iterations. No longer deletes last model	generated. Outputs full description of classifier.2003-11-10 11:47  akibriya	* weka/gui/PropertySheetPanel.java (1.14): Now displays an error	dialog box if an exception occurs in changing a beans property,	instead of just outputting the warning to stdout.2003-11-10 11:42  akibriya	* weka/gui/PropertyText.java (1.6): Made the textfield to be blank	rather than displaying null if the editor of the text property	returns null.2003-11-10 11:37  akibriya	* weka/gui/explorer/ClassifierPanel.java (1.66): Added support for	GenericArrayEditor to be able to use "Object[]" objects.2003-11-10 11:33  akibriya	* weka/classifiers/meta/CVParameterSelection.java (1.18): Can use	the -P option from gui now.2003-11-10 09:51  eibe	* weka/: attributeSelection/SVMAttributeEval.java (1.16),	classifiers/functions/neural/NeuralNode.java (1.5),	classifiers/meta/ClassificationViaRegression.java (1.15),	classifiers/meta/MultiClassClassifier.java (1.32),	classifiers/meta/OrdinalClassClassifier.java (1.7),	classifiers/meta/StackingC.java (1.2), core/Range.java (1.11),	core/SingleIndex.java (1.1),	filters/unsupervised/attribute/AddNoise.java (1.2),	filters/unsupervised/attribute/MakeIndicator.java (1.2),	filters/unsupervised/attribute/MergeTwoValues.java (1.2),	filters/unsupervised/attribute/StringToNominal.java (1.3),	filters/unsupervised/attribute/SwapValues.java (1.2),	filters/unsupervised/instance/RemovePercentage.java (1.3),	filters/unsupervised/instance/RemoveRange.java (1.2),	filters/unsupervised/instance/RemoveWithValues.java (1.3): Indices	now start from 1 for (hopefully) all filters. Changed default	behaviour of Remove...java filters in unsupervised.instances.	Changed some meta classifiers accordingly.2003-11-07 19:54  mhall	* weka/classifiers/meta/AttributeSelectedClassifier.java (1.12):	Changed toString to say something sensible if attribute selection	is not possible.2003-11-07 18:20  eibe	* weka/classifiers/trees/REPTree.java (1.13): REPTree now backfits	the pruning data once the tree has been pruned.2003-11-07 17:02  mhall	* weka/attributeSelection/GeneticSearch.java (1.14): Fixed some	bugs related to pathological data sets2003-11-07 17:00  mhall	* weka/classifiers/meta/AttributeSelectedClassifier.java (1.11):	Now handles data sets with no instances and all missing class	values2003-11-07 15:53  eibe	* weka/: classifiers/functions/supportVector/SMOreg.java (1.2),	filters/unsupervised/attribute/Normalize.java (1.2),	filters/unsupervised/attribute/RemoveType.java (1.3),	filters/unsupervised/attribute/ReplaceMissingValues.java (1.2),	filters/unsupervised/attribute/Standardize.java (1.2): Made some	filters ignore the class attribute. Had to change SMOreg	accordingly. Will the change to SMOreg affect results?2003-11-07 14:40  eibe	* weka/: classifiers/meta/RegressionByDiscretization.java (1.18),	filters/unsupervised/attribute/Discretize.java (1.3): Discretize	should skip class if set. Bug fix in debug output for	RegressionViaDiscretization.2003-11-07 13:10  eibe	* weka/: classifiers/DistributionSequentialClassifier.java (1.2),	classifiers/SequentialClassifier.java (1.2),	classifiers/SequentialEvaluation.java (1.2),	classifiers/meta/RSW.java (1.2),	classifiers/meta/SeqCVParameterSelection.java (1.2),	core/Instances.java (1.46), filters/Windowise.java (1.2): Removed	the RSW-related code from the repository. It's a bit too	experimental at this stage (and it should be in a separate package	anyway, not in the classifiers package).2003-11-06 18:00  eibe	* weka/classifiers/bayes/AODE.java (1.5): Made AODE a proper	WeightedInstancesHandler.2003-11-05 16:55  eibe	* weka/: classifiers/meta/AdditiveRegression.java (1.11),	classifiers/meta/AttributeSelectedClassifier.java (1.10),	classifiers/meta/CVParameterSelection.java (1.17),	classifiers/meta/FilteredClassifier.java (1.17),	classifiers/meta/MultiClassClassifier.java (1.31),	classifiers/meta/MultiScheme.java (1.12),	classifiers/meta/OrdinalClassClassifier.java (1.6),	classifiers/meta/Stacking.java (1.16), classifiers/meta/Vote.java	(1.2), classifiers/trees/DecisionStump.java (1.16),	classifiers/trees/REPTree.java (1.12),	classifiers/trees/RandomTree.java (1.3), core/Instances.java	(1.45): Fixed several little bugs and made options a bit more	consistent.2003-11-04 17:02  eibe	* weka/classifiers/misc/: HyperPipes.java (1.13), VFI.java (1.8):	Fixed some bugs.2003-10-31 18:59  eibe	* weka/classifiers/lazy/kstar/KStar.java (1.12): KStar was never	actually a WeightedInstancesHandler. It also didn't initialize	correctly.2003-10-31 18:48  eibe	* weka/classifiers/trees/lmt/LMT.java (1.4): Put in some checks for	CheckClassifier. Also changed indentation.2003-10-31 18:45  eibe	* weka/classifiers/trees/RandomTree.java (1.2): Put some checks	into RandomTree (for CheckClassifier).2003-10-31 18:39  eibe	* weka/classifiers/trees/DecisionStump.java (1.15): Put in some	checks for CheckClassifier. Also replaced Utils.sm(), Utils.gr(),	etc. by <,>.2003-10-31 17:52  eibe	* weka/classifiers/functions/SimpleLogistic.java (1.3): Added check	for 100% missing class values.2003-10-30 17:49  eibe	* weka/classifiers/rules/Nnge.java (1.2): toString() didn't work if	classifier wasn't built. Classifier altered training data according	to CheckClassifier. Fixed.2003-10-29 10:02  mhall	* weka/gui/explorer/ClustererPanel.java (1.41): Made	setVisualizableInstances into a publicly available utility method2003-10-29 10:01  mhall	* weka/gui/beans/: AbstractDataSource.java (1.2), Loader.java	(1.4): Made bean context aware2003-10-28 14:12  eibe	* weka/gui/GenericObjectEditor.props (1.84): Removed XMeans	(temporarily?) in preparation for a stable release.2003-10-28 14:10  eibe	* weka/: core/AlgVector.java (1.2), core/DistanceFunction.java	(1.3), core/DynamicArrayOfPosInt.java (1.2),	core/EuclideanDistance.java (1.4), core/Instances.java (1.44),	core/KDTree.java (1.5), clusterers/AlgVector.java (1.2),	clusterers/XMeans.java (1.7): Removed some code (temporarily?) in	preparation for a stable release.2003-10-28 14:06  eibe	* weka/classifiers/lazy/IBk.java (1.27): Reverted IBk back to	revision 1.20 (but including changes made in 1.24-1.26).2003-10-28 11:14  eibe	* weka/core/Instances.java (1.43): Thanks to Gabi, Richards change	from revision 1.37 was undone in revision 1.38 (removing numeric	padding in Quicksort). I've changed it again!2003-10-21 15:51  mhall	* weka/gui/beans/KnowledgeFlow.java (1.15): Got rid of xor mode for	drawing rubber band lines as it doesn't work properly under Mac OS	X's Java2003-10-17 17:55  cvs_rrb	* weka/classifiers/bayes/ADNode.java (1.4): case sensitivity bug	fixed2003-10-17 15:08  mhall	* weka/attributeSelection/RandomSearch.java (1.12): Doc fix2003-10-16 10:14  cvs_rrb	* weka/classifiers/bayes/ADNode.java (1.3): [no log message]2003-10-15 11:36  akibriya	* weka/classifiers/bayes/NaiveBayesMultinomial.java (1.4): Changed	the String class object in toString method to StringBuffer. It	makes the classifier much quicker.2003-10-10 05:16  eibe	* weka/classifiers/functions/Logistic.java (1.28): Fixed numeric	overflow problem in Logistic.java.2003-10-10 01:13  eibe	* weka/classifiers/meta/AdaBoostM1.java (1.17): Last change could	produce overflows, resulting in unclassified instances. Fixed.	(Thanks, Bernhard!)2003-10-03 02:55  eibe	* weka/filters/unsupervised/attribute/RemoveUseless.java (1.5):	Fixed bug in doc.2003-10-02 22:26  eibe	* weka/associations/tertius/: AttributeValueLiteral.java (1.2),	Body.java (1.2), Head.java (1.2), IndividualInstance.java (1.2),	IndividualInstances.java (1.2), IndividualLiteral.java (1.2),	Literal.java (1.2), LiteralSet.java (1.2), Predicate.java (1.2),	Rule.java (1.2), SimpleLinkedList.java (1.2), Tertius.java (1.2):	Added copyright notices.2003-10-02 21:56  eibe	* weka/classifiers/Evaluation.java (1.47): Got rid of zf correction	0.0001. Results for relative errors for regression problems will	change very slightly.2003-10-02 21:39  eibe	* weka/classifiers/rules/ZeroR.java (1.8): Fixed bug in ZeroR that	produced incorrect results for numeric datasets with missing target	values. Reported by Juan Jose Rodriguez Diez (jrodriguez@ubu.es).	Thanks!2003-10-02 21:36  eibe	* weka/core/SparseInstance.java (1.12): The "bug fix" from	2003/06/05 seems to have been a "bug bite", at least it broke	locateIndex() and didn't seem to fix anything. People who ran	experiments on sparse data may have got incorrect results for some	learning schemes as a consequence of this. As far as I can tell	locateIndex() used to work fine before the "bug fix" but I have	changed it slightly now to make it a bit more efficient.2003-09-25 12:12  dale	* weka/classifiers/trees/m5/Rule.java (1.6): [no log message]2003-09-16 12:16  rkirkby	* weka/gui/explorer/ClustererPanel.java (1.40): Model file	extension is automatically added and model output is the one	trained on the full data.2003-09-16 10:57  rkirkby	* weka/gui/explorer/ClassifierPanel.java (1.65): Extension for	model files is appended automatically, and the model on the full	dataset is output.2003-09-15 12:12  rkirkby	* weka/classifiers/functions/SimpleLinearRegression.java (1.4):	Small fix to toString() method.2003-09-11 03:04  eibe	* weka/gui/explorer/ClassifierPanel.java (1.64): classifer ->	classifier2003-09-09 08:25  mhall	* weka/gui/GenericObjectEditor.props (1.83): Added an entry for	Peter Flach's Tertius2003-09-09 08:23  mhall	* weka/associations/tertius/: AttributeValueLiteral.java (1.1),	Body.java (1.1), Head.java (1.1), IndividualInstance.java (1.1),

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