org.opencv.ml

Class StatModel

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ml.StatModel

Direct Known Subclasses:

ANN_MLP, DTrees, EM, KNearest, LogisticRegression, NormalBayesClassifier, SVM, SVMSGD

public class StatModel
extends Algorithm

Field Summary

Fields

Modifier and Type	Field and Description
static int	COMPRESSED_INPUT
static int	PREPROCESSED_INPUT
static int	RAW_OUTPUT
static int	UPDATE_MODEL

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	StatModel(long addr)

Method Summary

Modifier and Type	Method and Description
static StatModel	__fromPtr__(long addr)
float	calcError(TrainData data, boolean test, Mat resp)
boolean	empty()
protected void	finalize()
int	getVarCount()
boolean	isClassifier()
boolean	isTrained()
float	predict(Mat samples)
float	predict(Mat samples, Mat results, int flags)
boolean	train(Mat samples, int layout, Mat responses)
boolean	train(TrainData trainData)
boolean	train(TrainData trainData, int flags)

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

UPDATE_MODEL

public static final int UPDATE_MODEL

See Also:

Constant Field Values

RAW_OUTPUT

public static final int RAW_OUTPUT

See Also:

Constant Field Values

COMPRESSED_INPUT

public static final int COMPRESSED_INPUT

See Also:

Constant Field Values

PREPROCESSED_INPUT

public static final int PREPROCESSED_INPUT

See Also:

Constant Field Values

Constructor Detail

StatModel

protected StatModel(long addr)

Method Detail

__fromPtr__

public static StatModel __fromPtr__(long addr)

empty

public boolean empty()

Overrides:

empty in class Algorithm

isClassifier

public boolean isClassifier()

isTrained

public boolean isTrained()

train

public boolean train(Mat samples,
                     int layout,
                     Mat responses)

train

public boolean train(TrainData trainData,
                     int flags)

train

public boolean train(TrainData trainData)

calcError

public float calcError(TrainData data,
                       boolean test,
                       Mat resp)

predict

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

predict

public float predict(Mat samples)

getVarCount

public int getVarCount()

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class Algorithm

Throws:

java.lang.Throwable