High Performance Implementation of the Naive Bayes Algorithm

In this implementation of the Naive Bayes classifier following class conditional distributions are available: Bernoulli, Categorical, Gaussian, Poisson and non-parametric representation of the class conditional density estimated via Kernel Density Estimation.


Reference manual

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0.9.6 by Michal Majka, 6 months ago

https://github.com/majkamichal/naivebayes, https://majkamichal.github.io/naivebayes/

Report a bug at https://github.com/majkamichal/naivebayes/issues

Browse source code at https://github.com/cran/naivebayes

Authors: Michal Majka

Documentation:   PDF Manual  

Task views: Machine Learning & Statistical Learning

GPL-2 license

Suggests knitr

Imported by nproc.

Suggested by FRESA.CAD, superml.

See at CRAN