Uses of Class
dragon.ir.classification.DocClassSet

Packages that use DocClassSet

Package	Description
dragon.ir.classification
dragon.ir.classification.featureselection

Uses of DocClassSet in dragon.ir.classification

Fields in dragon.ir.classification declared as DocClassSet

Modifier and Type	Field and Description
protected DocClassSet	AbstractClassifier.validatingDocSet

Methods in dragon.ir.classification that return DocClassSet

Modifier and Type	Method and Description
DocClassSet	Classifier.classify(DocClass testingDocs) This method uses the trained model to classify the testing documents.
DocClassSet	AbstractClassifier.classify(DocClass testingDocs)
DocClassSet	NigamActiveLearning.classify(DocClassSet trainingDocSet, DocClass testingDocs)
DocClassSet	Classifier.classify(DocClassSet trainingDocSet, DocClass testingDocs) This method trains the classifier with the training document set and then using the trained model to classify the testing documents.
DocClassSet	AbstractClassifier.classify(DocClassSet trainingDocSet, DocClass testingDocs)
DocClassSet	Classifier.classify(DocClassSet trainingDocSet, DocClassSet validatingDocSet, DocClass testingDocs)
DocClassSet	AbstractClassifier.classify(DocClassSet trainingDocSet, DocClassSet validatingDocSet, DocClass testingDocs)

Methods in dragon.ir.classification with parameters of type DocClassSet

Modifier and Type	Method and Description
DocClassSet	NigamActiveLearning.classify(DocClassSet trainingDocSet, DocClass testingDocs)
DocClassSet	Classifier.classify(DocClassSet trainingDocSet, DocClass testingDocs) This method trains the classifier with the training document set and then using the trained model to classify the testing documents.
DocClassSet	AbstractClassifier.classify(DocClassSet trainingDocSet, DocClass testingDocs)
DocClassSet	Classifier.classify(DocClassSet trainingDocSet, DocClassSet validatingDocSet, DocClass testingDocs)
DocClassSet	AbstractClassifier.classify(DocClassSet trainingDocSet, DocClassSet validatingDocSet, DocClass testingDocs)
boolean	ClassificationEva.evaluate(DocClassSet human, DocClassSet machine)
protected DoubleVector	NBClassifier.getClassPrior(DocClassSet docSet)
void	SemanticNBClassifier.train(DocClassSet trainingDocSet)
void	NigamActiveLearning.train(DocClassSet trainingDocSet)
void	NBClassifier.train(DocClassSet trainingDocSet)
void	Classifier.train(DocClassSet trainingDocSet) This method trains the classifier with the training document set.
void	Classifier.train(DocClassSet trainingDocSet, DocClassSet validatingDocSet) This method trains the classifier with the training document set and validating document set.
void	AbstractClassifier.train(DocClassSet trainingDocSet, DocClassSet validatingDocSet)
protected void	AbstractClassifier.trainFeatureSelector(DocClassSet trainingSet)

Uses of DocClassSet in dragon.ir.classification.featureselection

Methods in dragon.ir.classification.featureselection with parameters of type DocClassSet

Modifier and Type	Method and Description
protected DoubleVector	AbstractFeatureSelector.getClassPrior(DocClassSet docSet)
protected int[]	NullFeatureSelector.getSelectedFeatures(IndexReader indexReader, DocClassSet trainingSet)
protected int[]	MutualInfoFeatureSelector.getSelectedFeatures(IndexReader indexReader, DocClassSet trainingSet)
protected int[]	InfoGainFeatureSelector.getSelectedFeatures(IndexReader indexReader, DocClassSet trainingSet)
protected int[]	DocFrequencySelector.getSelectedFeatures(IndexReader indexReader, DocClassSet trainingSet)
protected int[]	ChiFeatureSelector.getSelectedFeatures(IndexReader indexReader, DocClassSet trainingSet)
protected abstract int[]	AbstractFeatureSelector.getSelectedFeatures(IndexReader indexReader, DocClassSet trainingSet)
protected int[]	NullFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	MutualInfoFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	InfoGainFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	DocFrequencySelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	ChiFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected abstract int[]	AbstractFeatureSelector.getSelectedFeatures(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected IntDenseMatrix	AbstractFeatureSelector.getTermDistribution(IndexReader indexReader, DocClassSet trainingSet)
protected IntDenseMatrix	AbstractFeatureSelector.getTermDistribution(SparseMatrix doctermMatrix, DocClassSet trainingSet)
protected int[]	AbstractFeatureSelector.getTermDocFrequency(SparseMatrix matrix, DocClassSet trainingSet)
void	FeatureSelector.train(IndexReader indexReader, DocClassSet trainingSet) This method chooses a subset of features for text classification
void	AbstractFeatureSelector.train(IndexReader indexReader, DocClassSet trainingSet)
void	FeatureSelector.train(SparseMatrix doctermMatrix, DocClassSet trainingSet) This method chooses a subset of features for text classification.
void	AbstractFeatureSelector.train(SparseMatrix doctermMatrix, DocClassSet trainingSet)