Uses of Class
szte.datamining.DataMiningException

Packages that use DataMiningException
szte.csd.indicatorsel   
szte.datamining   
szte.datamining.mallet   
 

Uses of DataMiningException in szte.csd.indicatorsel
 

Methods in szte.csd.indicatorsel that throw DataMiningException
 java.util.Set<java.lang.String> MaxEntSelector.getIndicators(DataHandler vsm)
           
 java.util.Set<java.lang.String> MaxEntIterativeIndicatorSel.getIndicators(DataHandler vsm)
           
 java.util.Set<java.lang.String> IndicatorSelector.getIndicators(DataHandler vsm)
           
 

Uses of DataMiningException in szte.datamining
 

Methods in szte.datamining that throw DataMiningException
abstract  void DataHandler.addDataHandler(DataHandler dh)
           
abstract  ClassificationResult DataHandler.classifyDataset(Model model)
           
abstract  DataHandler DataHandler.createSubset(java.util.Set<java.lang.String> instancesSelected, java.util.Set<java.lang.String> featuresSelected)
          creates a subset of the dataset where only the given instances and/or features are present
abstract  java.lang.Boolean DataHandler.getBinaryValue(java.lang.String instanceId, java.lang.String featureName)
           
abstract  java.lang.String DataHandler.getNominalValue(java.lang.String instanceId, java.lang.String featureName)
           
abstract  java.lang.Double DataHandler.getNumericValue(java.lang.String instanceId, java.lang.String featureName)
           
abstract
<T extends java.lang.Comparable<?>>
T
DataHandler.getValue(java.lang.String instanceId, java.lang.String featureName)
           
abstract  void DataHandler.initClassifier(java.util.Map<java.lang.String,java.lang.Object> parameters)
           
abstract  void DataHandler.loadDataset(java.lang.String source)
          loads a native dataset from the given source
abstract  void DataHandler.removeFeature(java.lang.String featureName)
           
abstract  void DataHandler.removeInstance(java.lang.String instanceId)
           
abstract  void DataHandler.setDefaultFeatureValue(java.lang.String featureName, java.lang.String value)
           
abstract
<T extends java.lang.Comparable<?>>
void
DataHandler.setValue(java.lang.String instanceId, java.lang.String featureName, T value)
          Sets the value of a feature, the type of the feature is given by the beginning of the feature name b_ binary feature n_ numeric feature m_ nominal feature t_ ternal feature
abstract  Model DataHandler.trainClassifier()
           
 

Uses of DataMiningException in szte.datamining.mallet
 

Methods in szte.datamining.mallet that throw DataMiningException
 void MalletDataHandler.addDataHandler(DataHandler dh)
           
 ClassificationResult MalletDataHandler.classifyDataset(Model model)
           
 DataHandler MalletDataHandler.createSubset(java.util.Set<java.lang.String> instancesSelected, java.util.Set<java.lang.String> featuresSelected)
           
 java.lang.Boolean MalletDataHandler.getBinaryValue(java.lang.String instanceId, java.lang.String featureName)
           
 java.lang.String MalletDataHandler.getNominalValue(java.lang.String instanceId, java.lang.String featureName)
           
 java.lang.Double MalletDataHandler.getNumericValue(java.lang.String instanceId, java.lang.String featureName)
           
<T extends java.lang.Comparable<?>>
T
MalletDataHandler.getValue(java.lang.String instanceId, java.lang.String featureName)
           
 void MalletDataHandler.initClassifier(java.util.Map<java.lang.String,java.lang.Object> parameters)
           
 void MalletDataHandler.loadDataset(java.lang.String source)
           
 void MalletDataHandler.removeFeature(java.lang.String featureName)
           
 void MalletDataHandler.removeInstance(java.lang.String instanceId)
           
 void MalletDataHandler.setDefaultFeatureValue(java.lang.String featureName, java.lang.String value)
           
<T extends java.lang.Comparable<?>>
void
MalletDataHandler.setValue(java.lang.String instanceId, java.lang.String featureName, T value)
           
 Model MalletDataHandler.trainClassifier()