Package: naivebayes 1.0.0

naivebayes: 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', 'Multinomial' and non-parametric representation of the class conditional density estimated via Kernel Density Estimation. Implemented classifiers handle missing data and can take advantage of sparse data.

Authors:Michal Majka [aut, cre]

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Bug tracker:https://github.com/majkamichal/naivebayes/issues

On CRAN:

classification-modeldatasciencemachine-learningnaive-bayes

10 exports 37 stars 3.63 score 0 dependencies 5 dependents 5 mentions 964 scripts 3.4k downloads

Last updated 6 months agofrom:02400ef5f7. Checks:OK: 7. Indexed: yes.

Exports:%class%%prob%bernoulli_naive_bayesgaussian_naive_bayesget_cond_distmultinomial_naive_bayesnaive_bayesnonparametric_naive_bayespoisson_naive_bayestables

Dependencies: