org.bytedeco.javacpp

Class opencv_ml.ParamGrid

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_ml.ParamGrid

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_ml

@Namespace(value="cv::ml")
 @NoOffset
public static class opencv_ml.ParamGrid
extends org.bytedeco.javacpp.Pointer

\brief 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.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.Pointer.CustomDeallocator, org.bytedeco.javacpp.Pointer.Deallocator, org.bytedeco.javacpp.Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
ParamGrid() \brief Default constructor
ParamGrid(double _minVal, double _maxVal, double _logStep) \brief Constructor with parameters
ParamGrid(long size) Native array allocator.
ParamGrid(org.bytedeco.javacpp.Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
static opencv_ml.ParamGrid	create()
static opencv_ml.ParamGrid	create(double minVal, double maxVal, double logstep) \brief Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method
double	logStep() \brief Logarithmic step for iterating the statmodel parameter.
opencv_ml.ParamGrid	logStep(double logStep)
double	maxVal() Maximum value of the statmodel parameter.
opencv_ml.ParamGrid	maxVal(double maxVal)
double	minVal() Minimum value of the statmodel parameter.
opencv_ml.ParamGrid	minVal(double minVal)
opencv_ml.ParamGrid	position(long position)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ParamGrid

public ParamGrid(org.bytedeco.javacpp.Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

ParamGrid

public ParamGrid(long size)

Native array allocator. Access with Pointer.position(long).

ParamGrid

public ParamGrid()

\brief Default constructor

ParamGrid

public ParamGrid(double _minVal,
                 double _maxVal,
                 double _logStep)

\brief Constructor with parameters

Method Detail

position

public opencv_ml.ParamGrid position(long position)

Overrides:

position in class org.bytedeco.javacpp.Pointer

minVal

public double minVal()

Minimum value of the statmodel parameter. Default value is 0.

minVal

public opencv_ml.ParamGrid minVal(double minVal)

maxVal

public double maxVal()

Maximum value of the statmodel parameter. Default value is 0.

maxVal

public opencv_ml.ParamGrid maxVal(double maxVal)

logStep

public double logStep()

\brief Logarithmic step for iterating the statmodel parameter.

The grid determines the following iteration sequence of the statmodel parameter values: \f[(minVal, minVal*step, minVal*{step}^2, \dots, minVal*{logStep}^n),\f] where \f$n\f$ is the maximal index satisfying \f[\texttt{minVal} * \texttt{logStep} ^n < \texttt{maxVal}\f] The grid is logarithmic, so logStep must always be greater then 1. Default value is 1.

logStep

public opencv_ml.ParamGrid logStep(double logStep)

create

@opencv_core.Ptr
public static opencv_ml.ParamGrid create(double minVal,
                                                          double maxVal,
                                                          double logstep)

\brief 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

create

@opencv_core.Ptr
public static opencv_ml.ParamGrid create()