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. |