📄 changelog-3-4
字号:
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),
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -