trainRawNB: Train Raw Naive-Bayes
In roinaveiro/acAra: Adversarial Classification with ARA
Description
Usage
Arguments
Value
Examples
Description
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.
Usage
1
trainRawNB(trainingSet, words = c("viagra", "rajoy", "icmat", "hi", "bye"))
Arguments
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.
Value
This function returns a list containg
* apriori = The apriori distributions
* tables = Each word likelihoods.
Examples
1
trainRawNB(trainingSet)
roinaveiro/acAra documentation built on May 27, 2019, 1:47 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Examples
Description
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.
Usage
1 | trainRawNB(trainingSet, words = c("viagra", "rajoy", "icmat", "hi", "bye"))
|
Arguments
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. |
Value
This function returns a list containg * apriori = The apriori distributions * tables = Each word likelihoods.
Examples
1 | trainRawNB(trainingSet)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.