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