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 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

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

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

Method Summary

Methods

Modifier and Type	Method and Description
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, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, maxBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, position, put, setNull, sizeof, toString, totalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

opencv_ml.ParamGrid

public opencv_ml.ParamGrid(Pointer p)

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

opencv_ml.ParamGrid

public opencv_ml.ParamGrid(long size)

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

opencv_ml.ParamGrid

public opencv_ml.ParamGrid()

\brief Default constructor

opencv_ml.ParamGrid

public opencv_ml.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 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)