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Packages that use DataMiningException | |
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szte.csd.indicatorsel | |
szte.datamining | |
szte.datamining.mallet |
Uses of DataMiningException in szte.csd.indicatorsel |
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Methods in szte.csd.indicatorsel that throw DataMiningException | |
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java.util.Set<java.lang.String> |
MaxEntSelector.getIndicators(DataHandler vsm)
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java.util.Set<java.lang.String> |
MaxEntIterativeIndicatorSel.getIndicators(DataHandler vsm)
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java.util.Set<java.lang.String> |
IndicatorSelector.getIndicators(DataHandler vsm)
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Uses of DataMiningException in szte.datamining |
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Methods in szte.datamining that throw DataMiningException | ||
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abstract void |
DataHandler.addDataHandler(DataHandler dh)
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abstract ClassificationResult |
DataHandler.classifyDataset(Model model)
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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 |
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abstract java.lang.Boolean |
DataHandler.getBinaryValue(java.lang.String instanceId,
java.lang.String featureName)
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abstract java.lang.String |
DataHandler.getNominalValue(java.lang.String instanceId,
java.lang.String featureName)
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abstract java.lang.Double |
DataHandler.getNumericValue(java.lang.String instanceId,
java.lang.String featureName)
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abstract
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DataHandler.getValue(java.lang.String instanceId,
java.lang.String featureName)
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abstract void |
DataHandler.initClassifier(java.util.Map<java.lang.String,java.lang.Object> parameters)
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abstract void |
DataHandler.loadDataset(java.lang.String source)
loads a native dataset from the given source |
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abstract void |
DataHandler.removeFeature(java.lang.String featureName)
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abstract void |
DataHandler.removeInstance(java.lang.String instanceId)
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abstract void |
DataHandler.setDefaultFeatureValue(java.lang.String featureName,
java.lang.String value)
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abstract
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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 |
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abstract Model |
DataHandler.trainClassifier()
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Uses of DataMiningException in szte.datamining.mallet |
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Methods in szte.datamining.mallet that throw DataMiningException | ||
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void |
MalletDataHandler.addDataHandler(DataHandler dh)
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ClassificationResult |
MalletDataHandler.classifyDataset(Model model)
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DataHandler |
MalletDataHandler.createSubset(java.util.Set<java.lang.String> instancesSelected,
java.util.Set<java.lang.String> featuresSelected)
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java.lang.Boolean |
MalletDataHandler.getBinaryValue(java.lang.String instanceId,
java.lang.String featureName)
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java.lang.String |
MalletDataHandler.getNominalValue(java.lang.String instanceId,
java.lang.String featureName)
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java.lang.Double |
MalletDataHandler.getNumericValue(java.lang.String instanceId,
java.lang.String featureName)
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MalletDataHandler.getValue(java.lang.String instanceId,
java.lang.String featureName)
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void |
MalletDataHandler.initClassifier(java.util.Map<java.lang.String,java.lang.Object> parameters)
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void |
MalletDataHandler.loadDataset(java.lang.String source)
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void |
MalletDataHandler.removeFeature(java.lang.String featureName)
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void |
MalletDataHandler.removeInstance(java.lang.String instanceId)
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void |
MalletDataHandler.setDefaultFeatureValue(java.lang.String featureName,
java.lang.String value)
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MalletDataHandler.setValue(java.lang.String instanceId,
java.lang.String featureName,
T value)
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Model |
MalletDataHandler.trainClassifier()
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