changelog-3-4-1

由java开发的软件包

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