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. |