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

 weka.filters.unsupervised.attribute.NumericTransform, \
 weka.filters.unsupervised.attribute.Obfuscate, \
 weka.filters.unsupervised.attribute.PKIDiscretize, \
 weka.filters.unsupervised.attribute.Remove, \
 weka.filters.unsupervised.attribute.RemoveType, \
 weka.filters.unsupervised.attribute.RemoveUseless, \
 weka.filters.unsupervised.attribute.ReplaceMissingValues, \
 weka.filters.unsupervised.attribute.Standardize, \
 weka.filters.unsupervised.attribute.StringToNominal, \
 weka.filters.unsupervised.attribute.StringToWordVector, \
 weka.filters.unsupervised.attribute.SwapValues, \
 weka.filters.unsupervised.attribute.TimeSeriesDelta, \
 weka.filters.unsupervised.attribute.TimeSeriesTranslate, \
 weka.filters.unsupervised.instance.NonSparseToSparse, \
 weka.filters.unsupervised.instance.Randomize, \
 weka.filters.unsupervised.instance.RemoveFolds, \
 weka.filters.unsupervised.instance.RemoveMisclassified, \
 weka.filters.unsupervised.instance.RemovePercentage, \
 weka.filters.unsupervised.instance.RemoveRange, \
 weka.filters.unsupervised.instance.RemoveWithValues, \
 weka.filters.unsupervised.instance.Resample, \
 weka.filters.unsupervised.instance.SparseToNonSparse

# Lists the UnsupervisedFilters I want to choose from
weka.filters.UnsupervisedFilter = \
 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, \
 weka.filters.unsupervised.attribute.NumericTransform, \
 weka.filters.unsupervised.attribute.Obfuscate, \
 weka.filters.unsupervised.attribute.PKIDiscretize, \
 weka.filters.unsupervised.attribute.Remove, \
 weka.filters.unsupervised.attribute.RemoveType, \
 weka.filters.unsupervised.attribute.RemoveUseless, \
 weka.filters.unsupervised.attribute.ReplaceMissingValues, \
 weka.filters.unsupervised.attribute.Standardize, \
 weka.filters.unsupervised.attribute.StringToNominal, \
 weka.filters.unsupervised.attribute.StringToWordVector, \
 weka.filters.unsupervised.attribute.SwapValues, \
 weka.filters.unsupervised.attribute.TimeSeriesDelta, \
 weka.filters.unsupervised.attribute.TimeSeriesTranslate, \
 weka.filters.unsupervised.instance.NonSparseToSparse, \
 weka.filters.unsupervised.instance.Randomize, \
 weka.filters.unsupervised.instance.RemoveFolds, \
 weka.filters.unsupervised.instance.RemoveMisclassified, \
 weka.filters.unsupervised.instance.RemovePercentage, \
 weka.filters.unsupervised.instance.RemoveRange, \
 weka.filters.unsupervised.instance.RemoveWithValues, \
 weka.filters.unsupervised.instance.Resample, \
 weka.filters.unsupervised.instance.SparseToNonSparse

# Lists the Attribute Selection Evaluators I want to choose from
weka.attributeSelection.ASEvaluation = \
 weka.attributeSelection.CfsSubsetEval, \
 weka.attributeSelection.ClassifierSubsetEval, \
 weka.attributeSelection.WrapperSubsetEval, \
 weka.attributeSelection.ConsistencySubsetEval, \
 weka.attributeSelection.ReliefFAttributeEval, \
 weka.attributeSelection.InfoGainAttributeEval, \
 weka.attributeSelection.GainRatioAttributeEval, \
 weka.attributeSelection.SymmetricalUncertAttributeEval, \
 weka.attributeSelection.OneRAttributeEval, \
 weka.attributeSelection.ChiSquaredAttributeEval, \
 weka.attributeSelection.PrincipalComponents, \
 weka.attributeSelection.SVMAttributeEval, \
 weka.attributeSelection.MatlabPCA, \
 weka.attributeSelection.MatlabICA, \
 weka.attributeSelection.MatlabNMF

# Lists the Attribute Selection Search methods I want to choose from
weka.attributeSelection.ASSearch = \
 weka.attributeSelection.BestFirst, \
 weka.attributeSelection.ForwardSelection, \
 weka.attributeSelection.RaceSearch, \
 weka.attributeSelection.GeneticSearch, \
 weka.attributeSelection.RandomSearch, \
 weka.attributeSelection.ExhaustiveSearch, \
 weka.attributeSelection.Ranker, \
 weka.attributeSelection.RankSearch

# Lists the Associators I want to choose from
weka.associations.Associator=\
 weka.associations.Apriori

# Lists the Clusterers I want to choose from
weka.clusterers.Clusterer=\
 weka.clusterers.EM, \
 weka.clusterers.SimpleKMeans, \
 weka.clusterers.Cobweb, \
 weka.clusterers.FarthestFirst, \
 weka.clusterers.XMeans, \
 weka.clusterers.SeededKMeans, \
 weka.clusterers.PCKMeans, \
 weka.clusterers.MPCKMeans, \
 weka.clusterers.HAC

# Lists the MPCKMeansAssigner I want to choose from
weka.clusterers.assigners.MPCKMeansAssigner =\
 weka.clusterers.assigners.SimpleAssigner, \
 weka.clusterers.assigners.RandomAssigner, \
 weka.clusterers.assigners.SortedAssigner, \
 weka.clusterers.assigners.LPAssigner, \
 weka.clusterers.assigners.RMNAssigner

# Lists the MPCKMeansInitializers
weka.clusterers.initializers.MPCKMeansInitializer =\
 weka.clusterers.initializers.RandomPerturbInitializer, \
 weka.clusterers.initializers.WeightedFFNeighborhoodInit

# Lists the Loaders I want to choose from
weka.core.converters.Loader =\
 weka.core.converters.ArffLoader, \
 weka.core.converters.CSVLoader, \
 weka.core.converters.C45Loader, \
 weka.core.converters.SerializedInstancesLoader

# Lists the distance metrics I want to choose from
weka.core.metrics.LearnableMetric =\
 weka.core.metrics.WeightedEuclidean,\
 weka.core.metrics.WeightedDotP, \
 weka.core.metrics.WeightedMahalanobis, \
 weka.core.metrics.KL, \
 weka.core.metrics.BarHillelMetric, \
 weka.core.metrics.BarHillelMetricMatlab, \
 weka.core.metrics.XingMetric

# Lists the clustering-related metric learners
weka.clusterers.metriclearners.MPCKMeansMetricLearner = \
 weka.clusterers.metriclearners.WEuclideanGDLearner, \
 weka.clusterers.metriclearners.WEuclideanLearner, \
 weka.clusterers.metriclearners.MahalanobisLearner, \
 weka.clusterers.metriclearners.KLGDLearner, \
 weka.clusterers.metriclearners.DotPGDLearner

# Lists the regularizers
weka.clusterers.regularizers.Regularizer = \
 weka.clusterers.regularizers.L1, \
 weka.clusterers.regularizers.Rayleigh

# Lists the distance metric learners that we can choose
weka.core.metrics.MetricLearner = \
 weka.core.metrics.ClassifierMetricLearner,\
 weka.core.metrics.AttrEvalMetricLearner,\
 weka.core.metrics.GDMetricLearner,\
 weka.core.metrics.MatlabMetricLearner

# Lists the pairwise selectors that we can choose from
weka.core.metrics.PairwiseSelector =\
 weka.core.metrics.RandomPairwiseSelector,\
 weka.core.metrics.HardPairwiseSelector

# Lists the dedupers that we can choose from
weka.deduping.Deduper = \
 weka.deduping.BasicDeduper

# Lists the instance metrics that we can choose from
weka.deduping.metrics.InstanceMetric = \
 weka.deduping.metrics.ClassifierInstanceMetric, \
 weka.deduping.metrics.SumInstanceMetric

# Lists the string metrics that we can choose from
weka.deduping.metrics.StringMetric = \
 weka.deduping.metrics.AffineMetric, \
 weka.deduping.metrics.AffineProbMetric, \
 weka.deduping.metrics.VectorSpaceMetric, \
 weka.deduping.metrics.KernelVSMetric, \
 weka.deduping.metrics.JaccardMetric, \
 weka.deduping.metrics.AffineMacroProbMetric, \
 weka.deduping.metrics.LearnableTokenEDAffine

# Lists the tokenizers that we can choose from
weka.deduping.metrics.Tokenizer = \
 weka.deduping.metrics.WordTokenizer, \
 weka.deduping.metrics.NGramTokenizer

weka.deduping.PairwiseSelector = \
 weka.deduping.PairwiseSelector