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ml. Machine Learning
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The Machine Learning Library (MLL) is a set of classes and functions for statistical classification, regression and clustering of data.

Most of the classification and regression algorithms are implemented as C++ classes. As the algorithms have different seta of features (like the ability to handle missing measurements, or categorical input variables etc.), there is a little common ground between the classes. This common ground is defined by the class `CvStatModel` that all the other ML classes are derived from.


.. toctree::
    :maxdepth: 2

    ml_statistical_models
    ml_normal_bayes_classifier
    ml_k_nearest_neighbors
    ml_support_vector_machines
    ml_decision_trees
    ml_boosting
    ml_random_trees
    ml_expectation-maximization
    ml_neural_networks