# Package org.opencv.ml

- Class Summary
  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.