- 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.
- Authors
- Jefferson Hernandez
- License
- MIT
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