|
Accord.MachineLearning.Bayes Namespace |
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, TInput |
Bayes decision algorithm (not naive).
|
 | NaiveBayes |
Naïve Bayes Classifier.
|
| NaiveBayesTDistribution |
Naïve Bayes Classifier for arbitrary distributions.
|
| NaiveBayesTDistribution, TInput |
Naïve Bayes Classifier for arbitrary distributions of arbitrary elements.
|
| NaiveBayesLearning |
Naïve Bayes learning algorithm for discrete distribution models.
|
| NaiveBayesLearningTDistribution |
Naïve Bayes learning algorithm.
|
| NaiveBayesLearningTDistribution, TOptions |
Naïve Bayes learning algorithm.
|
| NaiveBayesLearningTDistribution, TOptions, TInput |
Naïve Bayes learning algorithm.
|
| NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions |
Base class for Naive Bayes learning algorithms.
|
| NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions, TInnerOptions |
Base class for Naive Bayes learning algorithms.
|