Uses of Interface
com.aliasi.util.Factory

Packages that use Factory

Package	Description
com.aliasi.classify	Classes for classifying data and evaluation.

Uses of Factory in com.aliasi.classify

Methods in com.aliasi.classify with parameters of type Factory

Modifier and Type	Method and Description
static Iterator<TradNaiveBayesClassifier>	TradNaiveBayesClassifier.emIterator(TradNaiveBayesClassifier initialClassifier, Factory<TradNaiveBayesClassifier> classifierFactory, Corpus<ObjectHandler<Classified<CharSequence>>> labeledData, Corpus<ObjectHandler<CharSequence>> unlabeledData, double minTokenCount) Apply the expectation maximization (EM) algorithm to train a traditional naive Bayes classifier using the specified labeled and unabled data, initial classifier and factory for creating subsequent factories.
static TradNaiveBayesClassifier	TradNaiveBayesClassifier.emTrain(TradNaiveBayesClassifier initialClassifier, Factory<TradNaiveBayesClassifier> classifierFactory, Corpus<ObjectHandler<Classified<CharSequence>>> labeledData, Corpus<ObjectHandler<CharSequence>> unlabeledData, double minTokenCount, int maxEpochs, double minImprovement, Reporter reporter) Apply the expectation maximization (EM) algorithm to train a traditional naive Bayes classifier using the specified labeled and unabled data, initial classifier and factory for creating subsequent factories, maximum number of epochs, minimum improvement per epoch, and reporter to which progress reports are sent.