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	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 Description

protected EM(long addr)

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	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

Class EM

Field Summary

Fields inherited from class org.opencv.ml.StatModel

Fields inherited from class org.opencv.core.Algorithm

Constructor Summary

Method Summary

Methods inherited from class org.opencv.ml.StatModel

Methods inherited from class org.opencv.core.Algorithm

Methods inherited from class java.lang.Object

Field Detail

COV_MAT_SPHERICAL

COV_MAT_DIAGONAL

COV_MAT_GENERIC

COV_MAT_DEFAULT

DEFAULT_NCLUSTERS

DEFAULT_MAX_ITERS

START_E_STEP

START_M_STEP

START_AUTO_STEP

Constructor Detail

EM

Method Detail

__fromPtr__

getMeans

getWeights

create

load

load

getTermCriteria

predict2

trainE

trainE

trainE

trainE

trainE

trainE

trainEM

trainEM

trainEM

trainEM

trainM

trainM

trainM

trainM

predict

predict

predict

getClustersNumber

getCovarianceMatrixType

getCovs

setClustersNumber

setCovarianceMatrixType

setTermCriteria

finalize

fromPtr