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Packages that use DataHandler | |
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szte.csd | |
szte.csd.indicatorsel | |
szte.datamining | |
szte.datamining.mallet |
Uses of DataHandler in szte.csd |
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Methods in szte.csd that return DataHandler | |
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DataHandler |
ContentShiftDetector.buildVSM(DocumentSet docset,
DataHandler train)
Constructs the Vector Space Model according to basic parameters (phrase length, lemmatization etc.). |
DataHandler |
ContentShiftDetector.featuresel(DataHandler vsm)
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Methods in szte.csd with parameters of type DataHandler | |
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DataHandler |
ContentShiftDetector.buildVSM(DocumentSet docset,
DataHandler train)
Constructs the Vector Space Model according to basic parameters (phrase length, lemmatization etc.). |
void |
CSDModel.featureExtract(DataHandler dh,
java.lang.String id,
Sentence sentence,
int pos)
Feature extraction for the local context classification. |
DataHandler |
ContentShiftDetector.featuresel(DataHandler vsm)
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java.util.Map<java.lang.String,java.util.Set<java.lang.String>> |
ContentShiftDetector.predictAllVSM(DataHandler vsm,
java.lang.String label)
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void |
ContentShiftDetector.relabel(DataHandler dh,
DocumentSet docset,
java.lang.String label)
We use the same Vector Space Model throughout an iteration, just its binary labeling varies according to the target labels of the original document multi-lableing task. |
void |
CSDModel.trainClassifier(DataHandler train)
Trains the CSD model and stores the feature set for that. |
Uses of DataHandler in szte.csd.indicatorsel |
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Methods in szte.csd.indicatorsel with parameters of type DataHandler | |
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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 DataHandler in szte.datamining |
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Methods in szte.datamining that return DataHandler | |
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DataHandler |
DataHandler.createEmptyDataHandler()
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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 |
Methods in szte.datamining with parameters of type DataHandler | |
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abstract void |
DataHandler.addDataHandler(DataHandler dh)
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Constructors in szte.datamining with parameters of type DataHandler | |
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ClassificationResult(DataHandler dataHandler)
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Uses of DataHandler in szte.datamining.mallet |
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Subclasses of DataHandler in szte.datamining.mallet | |
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class |
MalletDataHandler
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Methods in szte.datamining.mallet that return DataHandler | |
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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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Methods in szte.datamining.mallet with parameters of type DataHandler | |
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void |
MalletDataHandler.addDataHandler(DataHandler dh)
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