Package org.opencv.ml

Class Boost

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ml.StatModel

org.opencv.ml.DTrees

org.opencv.ml.Boost

public class Boost
extends DTrees

Boosted tree classifier derived from DTrees SEE: REF: ml_intro_boost

Field Summary

Fields

Modifier and Type	Field	Description
static int	DISCRETE
static int	GENTLE
static int	LOGIT
static int	REAL

Fields inherited from class org.opencv.ml.DTrees

PREDICT_AUTO, PREDICT_MASK, PREDICT_MAX_VOTE, PREDICT_SUM

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	Boost(long addr)

Method Summary

Modifier and Type	Method	Description
static Boost	__fromPtr__(long addr)
static Boost	create()	Creates the empty model.
protected void	finalize()
int	getBoostType()	SEE: setBoostType
int	getWeakCount()	SEE: setWeakCount
double	getWeightTrimRate()	SEE: setWeightTrimRate
static Boost	load(java.lang.String filepath)	Loads and creates a serialized Boost from a file Use Boost::save to serialize and store an RTree to disk.
static Boost	load(java.lang.String filepath, java.lang.String nodeName)	Loads and creates a serialized Boost from a file Use Boost::save to serialize and store an RTree to disk.
void	setBoostType(int val)	getBoostType SEE: getBoostType
void	setWeakCount(int val)	getWeakCount SEE: getWeakCount
void	setWeightTrimRate(double val)	getWeightTrimRate SEE: getWeightTrimRate

Methods inherited from class org.opencv.ml.DTrees

getCVFolds, getMaxCategories, getMaxDepth, getMinSampleCount, getPriors, getRegressionAccuracy, getTruncatePrunedTree, getUse1SERule, getUseSurrogates, setCVFolds, setMaxCategories, setMaxDepth, setMinSampleCount, setPriors, setRegressionAccuracy, setTruncatePrunedTree, setUse1SERule, setUseSurrogates

Methods inherited from class org.opencv.ml.StatModel

calcError, empty, getVarCount, isClassifier, isTrained, predict, predict, predict, 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

DISCRETE

public static final int DISCRETE

See Also:

Constant Field Values

REAL

public static final int REAL

See Also:

Constant Field Values

LOGIT

public static final int LOGIT

See Also:

Constant Field Values

GENTLE

public static final int GENTLE

See Also:

Constant Field Values

Constructor Detail

Boost

protected Boost(long addr)

Method Detail

__fromPtr__

public static Boost __fromPtr__(long addr)

getBoostType

public int getBoostType()

SEE: setBoostType

Returns:

automatically generated

setBoostType

public void setBoostType(int val)

getBoostType SEE: getBoostType

Parameters:

val - automatically generated

getWeakCount

public int getWeakCount()

SEE: setWeakCount

Returns:

automatically generated

setWeakCount

public void setWeakCount(int val)

getWeakCount SEE: getWeakCount

Parameters:

val - automatically generated

getWeightTrimRate

public double getWeightTrimRate()

SEE: setWeightTrimRate

Returns:

automatically generated

setWeightTrimRate

public void setWeightTrimRate(double val)

getWeightTrimRate SEE: getWeightTrimRate

Parameters:

val - automatically generated

create

public static Boost create()

Creates the empty model. Use StatModel::train to train the model, Algorithm::load<Boost>(filename) to load the pre-trained model.

Returns:

automatically generated

load

public static Boost load(java.lang.String filepath,
                         java.lang.String nodeName)

Loads and creates a serialized Boost from a file Use Boost::save to serialize and store an RTree to disk. Load the Boost from this file again, by calling this function with the path to the file. Optionally specify the node for the file containing the classifier

Parameters:

filepath - path to serialized Boost

nodeName - name of node containing the classifier

Returns:

automatically generated

load

public static Boost load(java.lang.String filepath)

Loads and creates a serialized Boost from a file Use Boost::save to serialize and store an RTree to disk. Load the Boost from this file again, by calling this function with the path to the file. Optionally specify the node for the file containing the classifier

Parameters:

filepath - path to serialized Boost

Returns:

automatically generated

finalize

protected void finalize()
                 throws java.lang.Throwable

Overrides:

finalize in class DTrees

Throws:

java.lang.Throwable