# Extremely Fast Implementation of a Naive Bayes Classifier

## Documentation for package ‘fastNaiveBayes’ version 1.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

fastNaiveBayes-package | fastNaiveBayes
fastNaiveBayes | fastNaiveBayes
fastNaiveBayes.bernoulli | Fast Naive Bayes Classifier with a Bernoulli event model
fastNaiveBayes.bernoulli.default | Fast Naive Bayes Classifier with a Bernoulli event model
fastNaiveBayes.detect_distribution | Distribution Detection Function
fastNaiveBayes.detect_distribution.default | Distribution Detection Function
fastNaiveBayes.gaussian | Fast Naive Bayes Classifier with a Gaussian event model
fastNaiveBayes.gaussian.default | Fast Naive Bayes Classifier with a Gaussian event model
fastNaiveBayes.mixed | Fast Naive Bayes Classifier for mixed Distributions
fastNaiveBayes.mixed.default | Fast Naive Bayes Classifier for mixed Distributions
fastNaiveBayes.multinomial | Fast Naive Bayes Classifier with a Multinomial event model
fastNaiveBayes.multinomial.default | Fast Naive Bayes Classifier with a Multinomial event model
predict.fastNaiveBayes.bernoulli | Predict Method for fastNaiveBayes.bernoulli fits
predict.fastNaiveBayes.gaussian | Predict Method for fastNaiveBayes.gaussian fits
predict.fastNaiveBayes.mixed | Predict Method for fastNaiveBayes fits
predict.fastNaiveBayes.multinomial | Predict Method for fastNaiveBayes.multinomial fits
tweets | This data originally came from Crowdflower's Data for Everyone library.
tweetsDTM | This data originally came from Crowdflower's Data for Everyone library.