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NaiveBayesLearningTDistribution Properties

The NaiveBayesLearningTDistribution generic type exposes the following members.

Properties
  NameDescription
Public propertyDistribution
Gets or sets the distribution creation function. This function can be used to specify how the initial distributions of the model should be created. By default, this function attempts to call the empty constructor of the distribution using Activator.CreateInstance().
(Inherited from NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions.)
Public propertyEmpirical
Gets or sets whether the class priors should be estimated from the data.
(Inherited from NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions.)
Public propertyModel
Gets or sets the model being learned.
(Inherited from NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions.)
Public propertyOptions
Gets or sets the fitting options to use when estimating the class-specific distributions.
(Inherited from NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions.)
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
(Inherited from NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions.)
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
(Inherited from NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions.)
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