GenericObjectEditor.props
Upload User: rhdiban
Upload Date: 2013-08-09
Package Size: 15085k
Code Size: 6k
Category:

Windows Develop

Development Platform:

Java

  1. # Customises the list of options given by the GenericObjectEditor
  2. # for various superclasses.
  3. # Lists the ResultProducers I want to choose from
  4. weka.experiment.ResultProducer=
  5.  weka.experiment.CrossValidationResultProducer,
  6.  weka.experiment.LearningRateResultProducer,
  7.  weka.experiment.RandomSplitResultProducer,
  8.  weka.experiment.AveragingResultProducer,
  9.  weka.experiment.DatabaseResultProducer
  10. # Lists the ResultListeners I want to choose from
  11. weka.experiment.ResultListener=
  12.  weka.experiment.DatabaseResultListener,
  13.  weka.experiment.InstancesResultListener, 
  14.  weka.experiment.CSVResultListener
  15. # Lists the SplitEvaluators I want to choose from
  16. weka.experiment.SplitEvaluator=
  17.  weka.experiment.ClassifierSplitEvaluator, 
  18.  weka.experiment.CostSensitiveClassifierSplitEvaluator, 
  19.  weka.experiment.RegressionSplitEvaluator
  20. # Lists the Classifiers I want to choose from
  21. weka.classifiers.Classifier=
  22.  weka.classifiers.ZeroR,
  23.  weka.classifiers.DecisionStump,
  24.  weka.classifiers.DecisionTable,
  25.  weka.classifiers.HyperPipes,
  26.  weka.classifiers.IB1,
  27.  weka.classifiers.IBk,
  28.  weka.classifiers.Id3,
  29.  weka.classifiers.j48.J48,
  30.  weka.classifiers.j48.PART,
  31.  weka.classifiers.KernelDensity,
  32.  weka.classifiers.kstar.KStar,
  33.  weka.classifiers.LinearRegression,
  34.  weka.classifiers.Logistic,
  35.  weka.classifiers.LWR,
  36.  weka.classifiers.m5.M5Prime,
  37.  weka.classifiers.NaiveBayesSimple,
  38.  weka.classifiers.NaiveBayes,
  39.  weka.classifiers.OneR,
  40.  weka.classifiers.Prism,
  41.  weka.classifiers.SMO,
  42.  weka.classifiers.VotedPerceptron,
  43.  weka.classifiers.VFI,
  44.  weka.classifiers.AdaBoostM1,
  45.  weka.classifiers.AdditiveRegression,
  46.  weka.classifiers.AttributeSelectedClassifier,
  47.  weka.classifiers.Bagging, 
  48.  weka.classifiers.ClassificationViaRegression,
  49.  weka.classifiers.CostSensitiveClassifier,
  50.  weka.classifiers.CVParameterSelection,
  51.  weka.classifiers.DistributionMetaClassifier,
  52.  weka.classifiers.FilteredClassifier,
  53.  weka.classifiers.LogitBoost,
  54.  weka.classifiers.MetaCost,
  55.  weka.classifiers.MultiClassClassifier,
  56.  weka.classifiers.MultiScheme,
  57.  weka.classifiers.RegressionByDiscretization,
  58.  weka.classifiers.Stacking,
  59.  weka.classifiers.ThresholdSelector,
  60.  weka.classifiers.UserClassifier,
  61.  weka.classifiers.neural.NeuralNetwork,
  62.  weka.classifiers.adtree.ADTree
  63. # Lists the DistributionClassifiers I want to choose from
  64. weka.classifiers.DistributionClassifier=
  65.  weka.classifiers.ZeroR,
  66.  weka.classifiers.DecisionStump,
  67.  weka.classifiers.DecisionTable,
  68.  weka.classifiers.HyperPipes,
  69.  weka.classifiers.IBk,
  70.  weka.classifiers.kstar.KStar,
  71.  weka.classifiers.Id3,
  72.  weka.classifiers.j48.J48,
  73.  weka.classifiers.j48.PART,
  74.  weka.classifiers.KernelDensity,
  75.  weka.classifiers.Logistic,
  76.  weka.classifiers.NaiveBayesSimple,
  77.  weka.classifiers.NaiveBayes,
  78.  weka.classifiers.SMO,
  79.  weka.classifiers.VotedPerceptron,
  80.  weka.classifiers.VFI,
  81.  weka.classifiers.AdaBoostM1,
  82.  weka.classifiers.Bagging, 
  83.  weka.classifiers.ClassificationViaRegression,
  84.  weka.classifiers.DistributionMetaClassifier,
  85.  weka.classifiers.FilteredClassifier,
  86.  weka.classifiers.LogitBoost,
  87.  weka.classifiers.MultiClassClassifier,
  88.  weka.classifiers.ThresholdSelector,
  89.  weka.classifiers.UserClassifier,
  90.  weka.classifiers.AttributeSelectedClassifier,
  91.  weka.classifiers.neural.NeuralNetwork,
  92.  weka.classifiers.adtree.ADTree
  93. # Lists the Filters I want to choose from
  94. weka.filters.Filter = 
  95.  weka.filters.AddFilter, 
  96.  weka.filters.AllFilter, 
  97.  weka.filters.AttributeExpressionFilter, 
  98.  weka.filters.AttributeFilter, 
  99.  weka.filters.AttributeSelectionFilter, 
  100.  weka.filters.AttributeTypeFilter, 
  101.  weka.filters.CopyAttributesFilter, 
  102.  weka.filters.DiscretizeFilter, 
  103.  weka.filters.EmptyAttributeFilter, 
  104.  weka.filters.FirstOrderFilter, 
  105.  weka.filters.InstanceFilter, 
  106.  weka.filters.MakeIndicatorFilter, 
  107.  weka.filters.MergeTwoValuesFilter, 
  108.  weka.filters.NominalToBinaryFilter, 
  109.  weka.filters.NonSparseToSparseFilter, 
  110.  weka.filters.NormalizationFilter, 
  111.  weka.filters.NullFilter, 
  112.  weka.filters.NumericToBinaryFilter, 
  113.  weka.filters.NumericTransformFilter, 
  114.  weka.filters.ObfuscateFilter, 
  115.  weka.filters.RandomizeFilter, 
  116.  weka.filters.ReplaceMissingValuesFilter, 
  117.  weka.filters.ResampleFilter, 
  118.  weka.filters.SparseToNonSparseFilter, 
  119.  weka.filters.SplitDatasetFilter, 
  120.  weka.filters.SpreadSubsampleFilter, 
  121.  weka.filters.StringToNominalFilter, 
  122.  weka.filters.SwapAttributeValuesFilter, 
  123.  weka.filters.TimeSeriesDeltaFilter, 
  124.  weka.filters.TimeSeriesTranslateFilter
  125. # Lists the Attribute Selection Evaluators I want to choose from
  126. weka.attributeSelection.ASEvaluation = 
  127.  weka.attributeSelection.CfsSubsetEval, 
  128.  weka.attributeSelection.ClassifierSubsetEval, 
  129.  weka.attributeSelection.WrapperSubsetEval, 
  130.  weka.attributeSelection.ConsistencySubsetEval, 
  131.  weka.attributeSelection.ReliefFAttributeEval, 
  132.  weka.attributeSelection.InfoGainAttributeEval, 
  133.  weka.attributeSelection.GainRatioAttributeEval, 
  134.  weka.attributeSelection.SymmetricalUncertAttributeEval, 
  135.  weka.attributeSelection.OneRAttributeEval, 
  136.  weka.attributeSelection.ChiSquaredAttributeEval, 
  137.  weka.attributeSelection.PrincipalComponents
  138. # Lists the Attribute Selection Search methods I want to choose from
  139. weka.attributeSelection.ASSearch = 
  140.  weka.attributeSelection.BestFirst, 
  141.  weka.attributeSelection.ForwardSelection, 
  142.  weka.attributeSelection.RaceSearch, 
  143.  weka.attributeSelection.GeneticSearch, 
  144.  weka.attributeSelection.RandomSearch, 
  145.  weka.attributeSelection.ExhaustiveSearch, 
  146.  weka.attributeSelection.Ranker, 
  147.  weka.attributeSelection.RankSearch
  148. # Lists the Associators I want to choose from
  149. weka.associations.Associator=
  150.  weka.associations.Apriori
  151. # Lists the Clusterers I want to choose from
  152. weka.clusterers.Clusterer=
  153.  weka.clusterers.EM, 
  154.  weka.clusterers.SimpleKMeans, 
  155.  weka.clusterers.Cobweb
  156. # Lists the Loaders I want to choose from
  157. weka.core.converters.Loader =
  158.  weka.core.converters.ArffLoader, 
  159.  weka.core.converters.CSVLoader, 
  160.  weka.core.converters.C45Loader, 
  161.  weka.core.converters.SerializedInstancesLoader
  162.