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108caae216
- Reworked documentation to reflect actual code - Removed some unused variables - Removed unnecessary 'cv::' modifiers
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844 B
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23 lines
844 B
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********************
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ml. Machine Learning
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********************
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The Machine Learning Library (MLL) is a set of classes and functions for statistical classification, regression, and clustering of data.
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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.
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.. toctree::
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:maxdepth: 2
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statistical_models
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normal_bayes_classifier
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k_nearest_neighbors
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support_vector_machines
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decision_trees
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boosting
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random_trees
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expectation_maximization
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neural_networks
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logistic_regression
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mldata
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