Description Usage Arguments Value Examples
This function trains a raw Naive Bayes in a given training set. In particular, it calculates all relevant parameters such as likelihoods a aprior distributions.
1 | trainRawNB(trainingSet, words = c("viagra", "rajoy", "icmat", "hi", "bye"))
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trainingSet |
data frame containing all predictors and an extra column named spam indicating wether each emai is legal or not. 1 == spam, 0 == nonspam. |
words |
a string vector containing the words used as predictors. |
This function returns a list containg * apriori = The apriori distributions * tables = Each word likelihoods.
1 | trainRawNB(trainingSet)
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