Contains discrete and continuous density Naive Bayes models for pattern recognition and concept learning. Supports a wide diversity of probabilistic distributions.
Classes Class Description BayesTDistribution, TInputBayes decision algorithm (not naive).
NaiveBayesNaïve Bayes Classifier.
NaiveBayesTDistributionNaïve Bayes Classifier for arbitrary distributions.
NaiveBayesTDistribution, TInputNaïve Bayes Classifier for arbitrary distributions of arbitrary elements.
NaiveBayesLearningNaïve Bayes learning algorithm for discrete distribution models.
NaiveBayesLearningTDistributionNaïve Bayes learning algorithm.
NaiveBayesLearningTDistribution, TOptionsNaïve Bayes learning algorithm.
NaiveBayesLearningTDistribution, TOptions, TInputNaïve Bayes learning algorithm.
NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptionsBase class for Naive Bayes learning algorithms.
NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions, TInnerOptionsBase class for Naive Bayes learning algorithms.
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