Extremely Fast Implementation of a Naive Bayes Classifier


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Documentation for package ‘fastNaiveBayes’ version 2.2.1

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fastNaiveBayes Fast Naive Bayes Classifier for different Distributions
fastNaiveBayes.default Fast Naive Bayes Classifier for different Distributions
fnb.bernoulli Fast Naive Bayes Classifier for different Distributions
fnb.bernoulli.default Fast Naive Bayes Classifier for different Distributions
fnb.detect_distribution Distribution Detection Function
fnb.detect_distribution.default Distribution Detection Function
fnb.gaussian Fast Naive Bayes Classifier for different Distributions
fnb.gaussian.default Fast Naive Bayes Classifier for different Distributions
fnb.load Save & Load Function for Fast Naive Bayes Models
fnb.load.default Save & Load Function for Fast Naive Bayes Models
fnb.multinomial Fast Naive Bayes Classifier for different Distributions
fnb.multinomial.default Fast Naive Bayes Classifier for different Distributions
fnb.poisson Fast Naive Bayes Classifier for different Distributions
fnb.poisson.default Fast Naive Bayes Classifier for different Distributions
fnb.save Save & Load Function for Fast Naive Bayes Models
fnb.save.default Save & Load Function for Fast Naive Bayes Models
fnb.train Fast Naive Bayes Classifier for different Distributions
fnb.train.default Fast Naive Bayes Classifier for different Distributions
fnb.update Update function
fnb.update.default Update function
fnb.update.fastNaiveBayes Update function
fnb.update.fnb.bernoulli Update function
fnb.update.fnb.gaussian Update function
fnb.update.fnb.multinomial Update function
fnb.update.fnb.poisson Update function
predict.fastNaiveBayes Predict Method for fastNaiveBayes fits
predict.fnb.bernoulli Predict Method for fastNaiveBayes fits
predict.fnb.gaussian Predict Method for fastNaiveBayes fits
predict.fnb.multinomial Predict Method for fastNaiveBayes fits
predict.fnb.poisson Predict Method for fastNaiveBayes 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.