| ANN_MLP |
Artificial Neural Networks - Multi-Layer Perceptrons.
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| Boost |
Boosted tree classifier derived from DTrees
SEE: REF: ml_intro_boost
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| DTrees |
The class represents a single decision tree or a collection of decision trees.
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| EM |
The class implements the Expectation Maximization algorithm.
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| KNearest |
The class implements K-Nearest Neighbors model
SEE: REF: ml_intro_knn
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| LogisticRegression |
Implements Logistic Regression classifier.
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| NormalBayesClassifier |
Bayes classifier for normally distributed data.
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| ParamGrid |
The structure represents the logarithmic grid range of statmodel parameters.
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| RTrees |
The class implements the random forest predictor.
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| StatModel |
Base class for statistical models in OpenCV ML.
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| SVM |
Support Vector Machines.
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| SVMSGD |
*************************************************************************************\
Stochastic Gradient Descent SVM Classifier *
\***************************************************************************************
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| TrainData |
Class encapsulating training data.
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