Package | Description |
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org.bytedeco.opencv.opencv_ml | |
org.bytedeco.opencv.opencv_quality |
Class and Description |
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AbstractStatModel |
ANN_MLP
\brief Artificial Neural Networks - Multi-Layer Perceptrons.
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Boost
\brief Boosted tree classifier derived from DTrees
|
DTrees
\brief The class represents a single decision tree or a collection of decision trees.
|
DTrees.Node
\brief The class represents a decision tree node.
|
DTrees.Split
\brief The class represents split in a decision tree.
|
EM
\brief The class implements the Expectation Maximization algorithm.
|
KNearest
\brief The class implements K-Nearest Neighbors model
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LogisticRegression
\brief Implements Logistic Regression classifier.
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NormalBayesClassifier
\brief Bayes classifier for normally distributed data.
|
ParamGrid
\brief The structure represents the logarithmic grid range of statmodel parameters.
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RTrees
\brief The class implements the random forest predictor.
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StatModel
\brief Base class for statistical models in OpenCV ML.
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SVM
\brief Support Vector Machines.
|
SVM.Kernel |
SVMSGD
\brief Stochastic Gradient Descent SVM classifier
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TrainData
\brief Class encapsulating training data.
|
Class and Description |
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SVM
\brief Support Vector Machines.
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