Machine learning algorithms such as Support Vector Machines, Artificial Neural Networks, Genetic Programming, Bayesian Networks, Hidden Markov Models, Genetic Programming and Genetic Algorithms are supported.

Classification: Identifying to which category an object belongs to. Regression: Predicting a continuous-valued attribute associated with an object. Clustering: Automatic grouping of similar objects into sets. Dimensionality Reduction: Reducing the number of random variables to consider. Model Selection: Comparing, validating and choosing parameters and models. Preprocessing: Feature extraction and normalization.