org.opencv.ml

Class EM

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ml.StatModel

org.opencv.ml.EM

public class EM
extends StatModel

Field Summary

Fields

Modifier and Type	Field and Description
static int	COV_MAT_DEFAULT
static int	COV_MAT_DIAGONAL
static int	COV_MAT_GENERIC
static int	COV_MAT_SPHERICAL
static int	DEFAULT_MAX_ITERS
static int	DEFAULT_NCLUSTERS
static int	START_AUTO_STEP
static int	START_E_STEP
static int	START_M_STEP

Fields inherited from class org.opencv.ml.StatModel

COMPRESSED_INPUT, PREPROCESSED_INPUT, RAW_OUTPUT, UPDATE_MODEL

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	EM(long addr)

Method Summary

Modifier and Type	Method and Description
static EM	__fromPtr__(long addr)
static EM	create()
protected void	finalize()
int	getClustersNumber()
int	getCovarianceMatrixType()
void	getCovs(List<Mat> covs)
Mat	getMeans()
TermCriteria	getTermCriteria()
Mat	getWeights()
static EM	load(String filepath)
static EM	load(String filepath, String nodeName)
float	predict(Mat samples)
float	predict(Mat samples, Mat results)
float	predict(Mat samples, Mat results, int flags)
double[]	predict2(Mat sample, Mat probs)
void	setClustersNumber(int val)
void	setCovarianceMatrixType(int val)
void	setTermCriteria(TermCriteria val)
boolean	trainE(Mat samples, Mat means0)
boolean	trainE(Mat samples, Mat means0, Mat covs0)
boolean	trainE(Mat samples, Mat means0, Mat covs0, Mat weights0)
boolean	trainE(Mat samples, Mat means0, Mat covs0, Mat weights0, Mat logLikelihoods)
boolean	trainE(Mat samples, Mat means0, Mat covs0, Mat weights0, Mat logLikelihoods, Mat labels)
boolean	trainE(Mat samples, Mat means0, Mat covs0, Mat weights0, Mat logLikelihoods, Mat labels, Mat probs)
boolean	trainEM(Mat samples)
boolean	trainEM(Mat samples, Mat logLikelihoods)
boolean	trainEM(Mat samples, Mat logLikelihoods, Mat labels)
boolean	trainEM(Mat samples, Mat logLikelihoods, Mat labels, Mat probs)
boolean	trainM(Mat samples, Mat probs0)
boolean	trainM(Mat samples, Mat probs0, Mat logLikelihoods)
boolean	trainM(Mat samples, Mat probs0, Mat logLikelihoods, Mat labels)
boolean	trainM(Mat samples, Mat probs0, Mat logLikelihoods, Mat labels, Mat probs)

Methods inherited from class org.opencv.ml.StatModel

calcError, empty, getVarCount, isClassifier, isTrained, train, train, train

Methods inherited from class org.opencv.core.Algorithm

clear, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object

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

Field Detail

COV_MAT_SPHERICAL

public static final int COV_MAT_SPHERICAL

See Also:

Constant Field Values

COV_MAT_DIAGONAL

public static final int COV_MAT_DIAGONAL

See Also:

Constant Field Values

COV_MAT_GENERIC

public static final int COV_MAT_GENERIC

See Also:

Constant Field Values

COV_MAT_DEFAULT

public static final int COV_MAT_DEFAULT

See Also:

Constant Field Values

DEFAULT_NCLUSTERS

public static final int DEFAULT_NCLUSTERS

See Also:

Constant Field Values

DEFAULT_MAX_ITERS

public static final int DEFAULT_MAX_ITERS

See Also:

Constant Field Values

START_E_STEP

public static final int START_E_STEP

See Also:

Constant Field Values

START_M_STEP

public static final int START_M_STEP

See Also:

Constant Field Values

START_AUTO_STEP

public static final int START_AUTO_STEP

See Also:

Constant Field Values

Constructor Detail

EM

protected EM(long addr)

Method Detail

__fromPtr__

public static EM __fromPtr__(long addr)

getMeans

public Mat getMeans()

getWeights

public Mat getWeights()

create

public static EM create()

load

public static EM load(String filepath,
                      String nodeName)

load

public static EM load(String filepath)

getTermCriteria

public TermCriteria getTermCriteria()

predict2

public double[] predict2(Mat sample,
                         Mat probs)

trainE

public boolean trainE(Mat samples,
                      Mat means0,
                      Mat covs0,
                      Mat weights0,
                      Mat logLikelihoods,
                      Mat labels,
                      Mat probs)

trainE

public boolean trainE(Mat samples,
                      Mat means0,
                      Mat covs0,
                      Mat weights0,
                      Mat logLikelihoods,
                      Mat labels)

trainE

public boolean trainE(Mat samples,
                      Mat means0,
                      Mat covs0,
                      Mat weights0,
                      Mat logLikelihoods)

trainE

public boolean trainE(Mat samples,
                      Mat means0,
                      Mat covs0,
                      Mat weights0)

trainE

public boolean trainE(Mat samples,
                      Mat means0,
                      Mat covs0)

trainE

public boolean trainE(Mat samples,
                      Mat means0)

trainEM

public boolean trainEM(Mat samples,
                       Mat logLikelihoods,
                       Mat labels,
                       Mat probs)

trainEM

public boolean trainEM(Mat samples,
                       Mat logLikelihoods,
                       Mat labels)

trainEM

public boolean trainEM(Mat samples,
                       Mat logLikelihoods)

trainEM

public boolean trainEM(Mat samples)

trainM

public boolean trainM(Mat samples,
                      Mat probs0,
                      Mat logLikelihoods,
                      Mat labels,
                      Mat probs)

trainM

public boolean trainM(Mat samples,
                      Mat probs0,
                      Mat logLikelihoods,
                      Mat labels)

trainM

public boolean trainM(Mat samples,
                      Mat probs0,
                      Mat logLikelihoods)

trainM

public boolean trainM(Mat samples,
                      Mat probs0)

predict

public float predict(Mat samples,
                     Mat results,
                     int flags)

Overrides:

predict in class StatModel

predict

public float predict(Mat samples,
                     Mat results)

Overrides:

predict in class StatModel

predict

public float predict(Mat samples)

Overrides:

predict in class StatModel

getClustersNumber

public int getClustersNumber()

getCovarianceMatrixType

public int getCovarianceMatrixType()

getCovs

public void getCovs(List<Mat> covs)

setClustersNumber

public void setClustersNumber(int val)

setCovarianceMatrixType

public void setCovarianceMatrixType(int val)

setTermCriteria

public void setTermCriteria(TermCriteria val)

finalize

protected void finalize()
                 throws Throwable

Overrides:

finalize in class StatModel

Throws:

Throwable