Uses of Interface
net.sf.myra.datamining.Model

Packages that use Model
net.sf.myra.datamining   
net.sf.myra.datamining.io   
net.sf.myra.datamining.measure   
net.sf.myra.datamining.measure.hierarchical   
net.sf.myra.datamining.model   
net.sf.myra.datamining.seco   
 

Uses of Model in net.sf.myra.datamining
 

Methods in net.sf.myra.datamining that return Model
abstract  Model Classifier.run(Dataset dataset)
          Trains the classifier using the specified dataset.
 

Methods in net.sf.myra.datamining with parameters of type Model
 void Gatherer.add(Model model)
           
 Unit<?> Measure.evaluate(Dataset dataset, Model model)
          Evaluates the specified model.
static ConfusionMatrix Evaluator.getConfusionMatrix(Model model, Dataset dataset)
          Returns the confusion matrix of the specified rule set when used to classify the dataset instances.
static ConfusionMatrix Evaluator.getConfusionMatrix(Model model, Dataset dataset, java.lang.String label)
          Returns the confusion matrix of the model for the specified class label.
 

Uses of Model in net.sf.myra.datamining.io
 

Methods in net.sf.myra.datamining.io with parameters of type Model
abstract  void ProbabilisticExporter.write(Dataset testSet, Model discovered)
           
 void HierarchicalExporter.write(Dataset testSet, Model discovered)
          Writes the predictions to the file.
 void FrequencyExporter.write(Dataset testSet, Model discovered)
           
 void Exporter.write(Dataset testSet, Model discovered)
          Writes the predictions to the file.
 void ConfidenceExporter.write(Dataset testSet, Model discovered)
           
 void ClassFrequencyExporter.write(Dataset testSet, Model discovered)
           
 

Uses of Model in net.sf.myra.datamining.measure
 

Methods in net.sf.myra.datamining.measure with parameters of type Model
 Unit<java.lang.Double> MicroAveragedFMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<java.lang.Double> MacroWeightedFMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<java.lang.Double> MacroAveragedFMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<java.lang.Double> InverseMacroWeightedFMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<java.lang.Double> ErrorBasedMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<?> CorrectnessRateMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<java.lang.Double> AccuracyMeasure.evaluate(Dataset dataset, Model model)
           
 

Uses of Model in net.sf.myra.datamining.measure.hierarchical
 

Methods in net.sf.myra.datamining.measure.hierarchical with parameters of type Model
 Unit<?> WeightedPRCurveMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<?> VarianceMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<?> VarianceGainMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<PRCurveMeasure.CurveArea> PRCurveMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<java.lang.Double> PooledPRCurveMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<?> LevelMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<java.lang.Double> hFmeasureMeasure.evaluate(Dataset dataset, Model model)
           
 Unit<?> AveragedPRCurveMeasure.evaluate(Dataset dataset, Model model)
           
 

Uses of Model in net.sf.myra.datamining.model
 

Subinterfaces of Model in net.sf.myra.datamining.model
 interface ProbabilisticModel
           
 

Classes in net.sf.myra.datamining.model that implement Model
 class AbstractRuleModel
          Base class for (flat) rule models.
 class ProbabilisticRuleList
           
 class ProbabilisticRuleModel
           
 class ProbabilisticRuleSet
           
 class RuleList
          This class represents a rule list model.
 class RuleSet
          This class represents a rule set model.
 

Methods in net.sf.myra.datamining.model with parameters of type Model
 void AbstractRuleModel.DefaultGatherer.add(Model model)
           
 

Uses of Model in net.sf.myra.datamining.seco
 

Methods in net.sf.myra.datamining.seco that return Model
 Model SeCo.run(Dataset dataset)
           
 



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