Constructor for the Gaussian Naive Bayes classifier, the parameters here is just for loading purposes.

function that predicts each row of the dataset (must be a matrix).

Function that export the NaiveBayes model.

Function that trains the classifier with a matrix that represents the training set and an array that represents the label of each row in the training set. the labels must be numbers between 0 to n-1 where n represents the number of classes.

WARNING: in the case that one class, all the cases in one or more features have the same value, the Naive Bayes classifier will not work well.

Function that create a GaussianNB classifier with the given model.

Constructor for Multinomial Naive Bayes, the model parameter is for load purposes.

Retrieves the predictions for the dataset with the current model.

Function that saves the current model.

Train the classifier with the current training set and labels, the labels must be numbers between 0 and n.

Creates a new MultinomialNB from the given model