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Open Source Computer Vision Library
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21 lines
816 B
21 lines
816 B
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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. |
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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. |
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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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