108caae216
- Reworked documentation to reflect actual code - Removed some unused variables - Removed unnecessary 'cv::' modifiers
23 lines
844 B
ReStructuredText
23 lines
844 B
ReStructuredText
********************
|
|
ml. Machine Learning
|
|
********************
|
|
|
|
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
|