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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 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.
Getting started
Browse package contents
Package details |
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| Author | Michal Majka |
| Maintainer | Michal Majka <michalmajka@hotmail.com> |
| License | GPL-2 |
| Version | 0.9.7 |
| URL | https://github.com/majkamichal/naivebayes https://majkamichal.github.io/naivebayes/ |
| Package repository | View on CRAN |
| Installation |
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