Class | Description |
---|---|
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.
|
Ml | |
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.
|
Generated on Wed Oct 9 2019 23:24:43 UTC / OpenCV 4.1.2