NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions, TInnerOptions Properties

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().

Gets or sets whether the class priors should be estimated from the data.

Gets or sets the model being learned.

Gets or sets the fitting options to use when estimating the class-specific distributions.

Gets or sets the parallelization options for this algorithm.

Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.