opencv/modules/ml/doc/ml.rst

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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
    random_trees
    expectation_maximization
    neural_networks
    logistic_regression
    mldata
cleaned RST formatting a bit 2011-02-26 19:05:10 +08:00			`********************`
			`ml. Machine Learning`
			`********************`
OpenCV reference manual (C++ part only for now) is now produced directly from RST, not from TeX. 2011-02-23 04:43:26 +08:00
Purpose: completed the ml chapter 2011-05-16 03:15:36 +08:00			`The Machine Learning Library (MLL) is a set of classes and functions for statistical classification, regression, and clustering of data.`
OpenCV reference manual (C++ part only for now) is now produced directly from RST, not from TeX. 2011-02-23 04:43:26 +08:00
Purpose: completed the ml chapter 2011-05-16 03:15:36 +08:00			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.
OpenCV reference manual (C++ part only for now) is now produced directly from RST, not from TeX. 2011-02-23 04:43:26 +08:00
			`.. toctree::`
			`:maxdepth: 2`

			`statistical_models`
			`normal_bayes_classifier`
			`k_nearest_neighbors`
			`support_vector_machines`
			`decision_trees`
			`boosting`
			`random_trees`
the first round of cleaning up the RST docs 2011-03-01 05:26:43 +08:00			`expectation_maximization`
OpenCV reference manual (C++ part only for now) is now produced directly from RST, not from TeX. 2011-02-23 04:43:26 +08:00			`neural_networks`
added reference to logistic regression document 2013-08-05 21:33:33 +08:00			`logistic_regression`
Modified logistic regression module according to comments - Reworked documentation to reflect actual code - Removed some unused variables - Removed unnecessary 'cv::' modifiers 2014-08-18 22:15:10 +08:00			`mldata`