NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions Properties

Properties

	Name	Description
	Distribution	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().
	Empirical	Gets or sets whether the class priors should be estimated from the data.
	Model	Gets or sets the model being learned.
	Options	Gets or sets the fitting options to use when estimating the class-specific distributions.
	ParallelOptions	Gets or sets the parallelization options for this algorithm.
	Token	Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.

NaiveBayesLearningBaseAddLanguageSpecificTextSet("LST1B000A25_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TDistribution, TInput, TOptionsAddLanguageSpecificTextSet("LST1B000A25_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Properties