org.bytedeco.javacpp

Class opencv_ml

java.lang.Object

org.bytedeco.javacpp.presets.opencv_ml

org.bytedeco.javacpp.helper.opencv_ml

org.bytedeco.javacpp.opencv_ml

All Implemented Interfaces:

InfoMapper

public class opencv_ml
extends opencv_ml

Nested Class Summary

Nested Classes

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

Nested classes/interfaces inherited from class org.bytedeco.javacpp.helper.opencv_ml

opencv_ml.AbstractStatModel

Field Summary

Fields

Modifier and Type	Field and Description
static int	COL_SAMPLE enum cv::ml::SampleTypes
static int	ROW_SAMPLE enum cv::ml::SampleTypes
static int	TEST_ERROR enum cv::ml::ErrorTypes
static int	TRAIN_ERROR enum cv::ml::ErrorTypes
static int	VAR_CATEGORICAL enum cv::ml::VariableTypes
static int	VAR_NUMERICAL enum cv::ml::VariableTypes
static int	VAR_ORDERED enum cv::ml::VariableTypes

Constructor Summary

Constructors

Constructor and Description
opencv_ml()

Method Summary

Methods

Modifier and Type	Method and Description
static void	createConcentricSpheresTestSet(int nsamples, int nfeatures, int nclasses, opencv_core.Mat samples, opencv_core.Mat responses) \brief Creates test set
static void	randMVNormal(opencv_core.Mat mean, opencv_core.Mat cov, int nsamples, opencv_core.Mat samples) \brief Generates _sample_ from multivariate normal distribution

Methods inherited from class org.bytedeco.javacpp.presets.opencv_ml

map

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

VAR_NUMERICAL

public static final int VAR_NUMERICAL

enum cv::ml::VariableTypes

See Also:

Constant Field Values

VAR_ORDERED

public static final int VAR_ORDERED

enum cv::ml::VariableTypes

See Also:

Constant Field Values

VAR_CATEGORICAL

public static final int VAR_CATEGORICAL

enum cv::ml::VariableTypes

See Also:

Constant Field Values

TEST_ERROR

public static final int TEST_ERROR

enum cv::ml::ErrorTypes

See Also:

Constant Field Values

TRAIN_ERROR

public static final int TRAIN_ERROR

enum cv::ml::ErrorTypes

See Also:

Constant Field Values

ROW_SAMPLE

public static final int ROW_SAMPLE

enum cv::ml::SampleTypes

See Also:

Constant Field Values

COL_SAMPLE

public static final int COL_SAMPLE

enum cv::ml::SampleTypes

See Also:

Constant Field Values

Constructor Detail

opencv_ml

public opencv_ml()

Method Detail

randMVNormal

@Namespace(value="cv::ml")
public static void randMVNormal(@ByVal
                               opencv_core.Mat mean,
                               @ByVal
                               opencv_core.Mat cov,
                               int nsamples,
                               @ByVal
                               opencv_core.Mat samples)

\brief Generates _sample_ from multivariate normal distribution

Parameters:

mean - an average row vector

cov - symmetric covariation matrix

nsamples - returned samples count

samples - returned samples array

createConcentricSpheresTestSet

@Namespace(value="cv::ml")
public static void createConcentricSpheresTestSet(int nsamples,
                                                 int nfeatures,
                                                 int nclasses,
                                                 @ByVal
                                                 opencv_core.Mat samples,
                                                 @ByVal
                                                 opencv_core.Mat responses)

\brief Creates test set