Naive Bayes
Naive bayes classifier.
Methods
new NaiveBayes()
Constructor that takes no arguments.
Example
var nb = new NaiveBayes();train(trainingSet, predictions)
Train the Naive Bayes model to the given training set and predictions
Arguments
trainingSet- A matrix of the training set.trainingLabels- An array of value for each case in the training set.
Example
var cases = [[6,148,72,35,0,33.6,0.627,5],
[1.50,85,66.5,29,0,26.6,0.351,31],
[8,183,64,0,0,23.3,0.672,32],
[0.5,89,65.5,23,94,28.1,0.167,21],
[0,137,40,35,168,43.1,2.288,33]];
var predictions = [1, 0, 1, 0, 1];
nb.train(trainingSet, predictions);predict(dataset)
Predict the values of the dataset.
Arguments
dataset- A matrix that contains the dataset.
Example
var dataset = [[6,148,72,35,0,33.6,0.627,5],
[1.50,85,66.5,29,0,26.6,0.351,31]];
var ans = nb.predict(dataset);export()
Exports the actual Naive Bayes model to an Javascript Object.
load(model)
Returns a new Naive Bayes Classifier with the given model.
Arguments
model- Javascript Object generated from export() function.