| BinaryNaiveBayesModelReader |
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| BinaryNaiveBayesModelWriter |
Model writer that saves models in binary format.
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| LogProbabilities<T> |
Class implementing the probability distribution over labels returned by
a classifier as a log of probabilities.
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| LogProbability<T> |
Class implementing the probability for a label.
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| NaiveBayesEvalParameters |
Parameters for the evalution of a naive bayes classifier
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| NaiveBayesModel |
Class implementing the multinomial Naive Bayes classifier model.
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| NaiveBayesModelReader |
Abstract parent class for readers of NaiveBayes.
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| NaiveBayesModelWriter |
Abstract parent class for NaiveBayes writers.
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| NaiveBayesTrainer |
Trains models using the combination of EM algorithm and Naive Bayes classifier
which is described in:
Text Classification from Labeled and Unlabeled Documents using EM
Nigam, McCallum, et al paper of 2000
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| PlainTextNaiveBayesModelReader |
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| PlainTextNaiveBayesModelWriter |
Model writer that saves models in plain text format.
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| Probabilities<T> |
Class implementing the probability distribution over labels returned by a classifier.
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| Probability<T> |
Class implementing the probability for a label.
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