genericobjecteditor.props

wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器

# Customises the list of options given by the GenericObjectEditor
# for various superclasses.

# Lists the ResultProducers I want to choose from
weka.experiment.ResultProducer=\
 weka.experiment.CrossValidationResultProducer,\
 weka.experiment.LearningCurveCrossValidationResultProducer,\
 weka.experiment.ActiveLearningCurveCVResultProducer,\
 weka.experiment.ActiveFeatureAcquisitionCVResultProducer,\
 weka.experiment.BudgetedLearningCurveResultProducer,\
 weka.experiment.NoiseCurveCrossValidationResultProducer,\
 weka.experiment.SemiSupCrossValidationResultProducer,\
 weka.experiment.SemiSupLearningCurveCVResultProducer,\
 weka.experiment.SemiSupIncompleteLabelCurveCVResultProducer,\
 weka.experiment.SemiSupPointActiveCurveCVResultProducer,\
 weka.experiment.SemiSupPairActiveCurveCVResultProducer,\
 weka.experiment.LearningRateResultProducer,\
 weka.experiment.RandomSplitResultProducer,\
 weka.experiment.AveragingResultProducer,\
 weka.experiment.DatabaseResultProducer,\
 weka.experiment.DedupingPRCurveCVResultProducer,\
 weka.experiment.DedupingPRCurveCVResultProducerSplit

# Lists the ResultListeners I want to choose from
weka.experiment.ResultListener=\
 weka.experiment.DatabaseResultListener,\
 weka.experiment.InstancesResultListener, \
 weka.experiment.CSVResultListener

# Lists the SplitEvaluators I want to choose from
weka.experiment.SplitEvaluator=\
 weka.experiment.ClassifierSplitEvaluator, \
 weka.experiment.EnsembleClassifierSplitEvaluator, \
 weka.experiment.SemiSupClustererSplitEvaluator, \
 weka.experiment.FeatureCostSensitiveClassifierSplitEvaluator, \
 weka.experiment.CostSensitiveClassifierSplitEvaluator, \
 weka.experiment.RegressionSplitEvaluator, \
 weka.experiment.DeduperSplitEvaluator

# Lists the Classifiers I want to choose from
weka.classifiers.Classifier=\
 weka.classifiers.bayes.BayesNetK2,\
 weka.classifiers.bayes.BayesNetB,\
 weka.classifiers.bayes.NaiveBayes,\
 weka.classifiers.bayes.NaiveBayesSimple,\
 weka.classifiers.bayes.NaiveBayesUpdateable,\
 weka.classifiers.bayes.SemiSupEM,\
 weka.classifiers.functions.LeastMedSq,\
 weka.classifiers.functions.LinearRegression,\
 weka.classifiers.functions.Logistic,\
 weka.classifiers.functions.neural.NeuralNetwork,\
 weka.classifiers.functions.pace.PaceRegression,\
 weka.classifiers.functions.SMO,\
 weka.classifiers.functions.UnivariateLinearRegression,\
 weka.classifiers.functions.VotedPerceptron,\
 weka.classifiers.functions.Winnow,\
 weka.classifiers.lazy.IB1,\
 weka.classifiers.lazy.IBk,\
 weka.classifiers.lazy.kstar.KStar,\
 weka.classifiers.lazy.LBR,\
 weka.classifiers.lazy.LWR,\
 weka.classifiers.meta.ActiveDecorate,\
 weka.classifiers.meta.AdaBoostM1,\
 weka.classifiers.meta.AdditiveRegression,\
 weka.classifiers.meta.AttributeSelectedClassifier,\
 weka.classifiers.meta.Bagging, \
 weka.classifiers.meta.Blue, \
 weka.classifiers.meta.ClassificationViaRegression,\
 weka.classifiers.meta.CostSensitiveClassifier,\
 weka.classifiers.meta.Crate,\
 weka.classifiers.meta.CVParameterSelection,\
 weka.classifiers.meta.DEC,\
 weka.classifiers.meta.Decorate,\
 weka.classifiers.meta.DistributionMetaClassifier,\
 weka.classifiers.meta.Fable,\
 weka.classifiers.meta.FilteredClassifier,\
 weka.classifiers.meta.GODA,\
 weka.classifiers.meta.IteratedBagging,\
 weka.classifiers.meta.LogitBoost,\
 weka.classifiers.meta.MetaCost,\
 weka.classifiers.meta.MultiBoostAB,\
 weka.classifiers.meta.MultiClassClassifier,\
 weka.classifiers.meta.MultiScheme,\
 weka.classifiers.meta.OrdinalClassClassifier,\
 weka.classifiers.meta.RacedIncrementalLogitBoost,\
 weka.classifiers.meta.RegressionByDiscretization,\
 weka.classifiers.meta.SemiSupDecorate,\
 weka.classifiers.meta.Stacking,\
 weka.classifiers.meta.StochasticGradientBoosting,\
 weka.classifiers.meta.TestEnsembleClassifier,\
 weka.classifiers.meta.ThresholdSelector,\
 weka.classifiers.misc.HyperPipes,\
 weka.classifiers.misc.VFI,\
 weka.classifiers.trees.adtree.ADTree,\
 weka.classifiers.trees.DecisionStump,\
 weka.classifiers.trees.Id3,\
 weka.classifiers.trees.j48.J48,\
 weka.classifiers.trees.j48.FAT,\
 weka.classifiers.trees.m5.M5P,\
 weka.classifiers.trees.RandomForest,\
 weka.classifiers.trees.RandomTree,\
 weka.classifiers.trees.REPTree,\
 weka.classifiers.trees.UserClassifier,\
 weka.classifiers.rules.ConjunctiveRule,\
 weka.classifiers.rules.DecisionTable,\
 weka.classifiers.rules.OneR,\
 weka.classifiers.rules.part.PART,\
 weka.classifiers.rules.M5Rules,\
 weka.classifiers.rules.Prism,\
 weka.classifiers.meta.QBag,\
 weka.classifiers.meta.QBoost,\
 weka.classifiers.rules.Ridor,\
 weka.classifiers.rules.JRip,\
 weka.classifiers.rules.ZeroR,\
 weka.classifiers.sparse.NaiveBayesSimpleSparse,\
 weka.classifiers.sparse.IBkMetric, \
 weka.classifiers.sparse.SVMlight, \
 weka.classifiers.sparse.SVMcplex


# Lists the DistributionClassifiers I want to choose from
weka.classifiers.DistributionClassifier=\
 weka.classifiers.bayes.BayesNetK2,\
 weka.classifiers.bayes.BayesNetB,\
 weka.classifiers.bayes.NaiveBayes,\
 weka.classifiers.bayes.NaiveBayesSimple,\
 weka.classifiers.bayes.NaiveBayesUpdateable,\
 weka.classifiers.bayes.SemiSupEM,\
 weka.classifiers.functions.Logistic,\
 weka.classifiers.functions.neural.NeuralNetwork,\
 weka.classifiers.functions.SMO,\
 weka.classifiers.functions.VotedPerceptron,\
 weka.classifiers.lazy.IBk,\
 weka.classifiers.lazy.kstar.KStar,\
 weka.classifiers.lazy.LBR,\
 weka.classifiers.meta.AdaBoostM1,\
 weka.classifiers.meta.AttributeSelectedClassifier,\
 weka.classifiers.meta.Bagging, \
 weka.classifiers.meta.ClassificationViaRegression,\
 weka.classifiers.meta.DistributionMetaClassifier,\
 weka.classifiers.meta.FilteredClassifier,\
 weka.classifiers.meta.LogitBoost,\
 weka.classifiers.meta.MultiBoostAB,\
 weka.classifiers.meta.MultiClassClassifier,\
 weka.classifiers.meta.OrdinalClassClassifier,\
 weka.classifiers.meta.RacedIncrementalLogitBoost,\
 weka.classifiers.meta.ThresholdSelector,\
 weka.classifiers.misc.HyperPipes,\
 weka.classifiers.misc.VFI,\
 weka.classifiers.trees.adtree.ADTree,\
 weka.classifiers.trees.DecisionStump,\
 weka.classifiers.trees.Id3,\
 weka.classifiers.trees.j48.J48,\
 weka.classifiers.trees.RandomForest,\
 weka.classifiers.trees.RandomTree,\
 weka.classifiers.trees.REPTree,\
 weka.classifiers.trees.UserClassifier,\
 weka.classifiers.rules.ConjunctiveRule,\
 weka.classifiers.rules.DecisionTable,\
 weka.classifiers.rules.part.PART,\
 weka.classifiers.rules.JRip,\
 weka.classifiers.rules.ZeroR,\
 weka.classifiers.sparse.NaiveBayesSimpleSparse,\
 weka.classifiers.sparse.IBkMetric,\
 weka.classifiers.sparse.SVMlight, \
 weka.classifiers.sparse.SVMcplex

# Lists the Filters I want to choose from
weka.filters.Filter = \
 weka.filters.supervised.attribute.AttributeSelection, \
 weka.filters.supervised.attribute.ClassOrder, \
 weka.filters.supervised.attribute.Discretize, \
 weka.filters.supervised.attribute.NominalToBinary, \
 weka.filters.supervised.instance.Resample, \
 weka.filters.supervised.instance.SpreadSubsample, \
 weka.filters.supervised.instance.StratifiedRemoveFolds, \
 weka.filters.unsupervised.attribute.Add, \
 weka.filters.unsupervised.attribute.AddCluster, \
 weka.filters.unsupervised.attribute.AddExpression, \
 weka.filters.unsupervised.attribute.AddNoise, \
 weka.filters.unsupervised.attribute.Copy, \
 weka.filters.unsupervised.attribute.Discretize, \
 weka.filters.unsupervised.attribute.FirstOrder, \
 weka.filters.unsupervised.attribute.MakeIndicator, \
 weka.filters.unsupervised.attribute.MergeTwoValues, \
 weka.filters.unsupervised.attribute.NominalToBinary, \
 weka.filters.unsupervised.attribute.Normalize, \
 weka.filters.unsupervised.attribute.NumericToBinary, \