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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 sets of features (like an ability to handle missing measurements or categorical input variables), 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
statistical_models
normal_bayes_classifier
k_nearest_neighbors
support_vector_machines
decision_trees
boosting
gradient_boosted_trees
random_trees
ertrees
expectation_maximization
neural_networks
mldata
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