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NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions Properties

The NaiveBayesLearningBaseTModel, TDistribution, TInput, TOptions generic type exposes the following members.

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().
Public propertyEmpirical
Gets or sets whether the class priors should be estimated from the data.
Public propertyModel
Gets or sets the model being learned.
Public propertyOptions
Gets or sets the fitting options to use when estimating the class-specific distributions.
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
See Also