org.opencv.ml

Class ParamGrid

java.lang.Object

org.opencv.ml.ParamGrid

public class ParamGrid
extends java.lang.Object

The structure represents the logarithmic grid range of statmodel parameters. It is used for optimizing statmodel accuracy by varying model parameters, the accuracy estimate being computed by cross-validation.

Method Summary

Modifier and Type	Method and Description
static ParamGrid	__fromPtr__(long addr)
static ParamGrid	create() Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method
static ParamGrid	create(double minVal) Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method
static ParamGrid	create(double minVal, double maxVal) Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method
static ParamGrid	create(double minVal, double maxVal, double logstep) Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method
double	get_logStep()
double	get_maxVal()
double	get_minVal()
long	getNativeObjAddr()
void	set_logStep(double logStep)
void	set_maxVal(double maxVal)
void	set_minVal(double minVal)

Methods inherited from class java.lang.Object

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

Method Detail

__fromPtr__

public static ParamGrid __fromPtr__(long addr)

create

public static ParamGrid create()

Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method

Returns:

automatically generated

create

public static ParamGrid create(double minVal)

Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method

Parameters:

minVal - minimum value of the parameter grid

Returns:

automatically generated

create

public static ParamGrid create(double minVal,
                               double maxVal)

Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method

Parameters:

minVal - minimum value of the parameter grid

maxVal - maximum value of the parameter grid

Returns:

automatically generated

create

public static ParamGrid create(double minVal,
                               double maxVal,
                               double logstep)

Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method

Parameters:

minVal - minimum value of the parameter grid

maxVal - maximum value of the parameter grid

logstep - Logarithmic step for iterating the statmodel parameter

Returns:

automatically generated

get_logStep

public double get_logStep()

get_maxVal

public double get_maxVal()

get_minVal

public double get_minVal()

getNativeObjAddr

public long getNativeObjAddr()

set_logStep

public void set_logStep(double logStep)

set_maxVal

public void set_maxVal(double maxVal)

set_minVal

public void set_minVal(double minVal)