This library was originally implemented for the DIKU course Statistical Methods for Machine Learning. It contains the following algorithms:

Classification

• K nearest neighbours
• Linear discriminant analysis
• Multilayer perceptron (with backpropagation)
• Naive bayes (Also supporting different kernel estimator, like Epanechnikov and Gauassian kernels)