| OpenCV 5.0.0alpha Open Source Computer Vision

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Classes | Typedefs | Enumerations | Functions
cv::ml Namespace Reference

## Classes
class | ANN_MLP
| Artificial Neural Networks - Multi-Layer Perceptrons. More...
class | Boost
| Boosted tree classifier derived from DTrees. More...
class | DTrees
| The class represents a single decision tree or a collection of decision trees. More...
class | EM
| The class implements the Expectation Maximization algorithm. More...
class | KNearest
| The class implements K-Nearest Neighbors model. More...
class | LogisticRegression
| Implements Logistic Regression classifier. More...
class | NormalBayesClassifier
| Bayes classifier for normally distributed data. More...
class | ParamGrid
| The structure represents the logarithmic grid range of statmodel parameters. More...
class | RTrees
| The class implements the random forest predictor. More...
struct | SimulatedAnnealingSolverSystem
| This class declares example interface for system state used in simulated annealing optimization algorithm. More...
class | StatModel
| Base class for statistical models in OpenCV ML. More...
class | SVM
| Support Vector Machines. More...
class | SVMSGD
| Stochastic Gradient Descent SVM classifier. More...
class | TrainData
| Class encapsulating training data. More...

## Typedefs
typedef ANN_MLP | ANN_MLP_ANNEAL

## Enumerations
enum | ErrorTypes { TEST_ERROR = 0 , TRAIN_ERROR = 1 }
| Error types More...
enum | SampleTypes { ROW_SAMPLE = 0 , COL_SAMPLE = 1 }
| Sample types. More...
enum | VariableTypes { VAR_NUMERICAL =0 , VAR_ORDERED =0 , VAR_CATEGORICAL =1 }
| Variable types. More...

## Functions
void | createConcentricSpheresTestSet (int nsamples, int nfeatures, int nclasses, OutputArray samples, OutputArray responses)
| Creates test set.
void | randMVNormal (InputArray mean, InputArray cov, int nsamples, OutputArray samples)
| Generates sample from multivariate normal distribution.
template<class SimulatedAnnealingSolverSystem >
int | simulatedAnnealingSolver (SimulatedAnnealingSolverSystem &solverSystem, double initialTemperature, double finalTemperature, double coolingRatio, size_t iterationsPerStep, double *lastTemperature=NULL, cv::RNG &rngEnergy=cv::theRNG())
| The class implements simulated annealing for optimization.