Inheritance diagram for OpenCVForUnity.MlModule.SVMSGD:

Public Member Functions
Mat	getWeights ()

float	getShift ()

void	setOptimalParameters (int svmsgdType, int marginType)
	Function sets optimal parameters values for chosen SVM SGD model. More...

void	setOptimalParameters (int svmsgdType)
	Function sets optimal parameters values for chosen SVM SGD model. More...

void	setOptimalParameters ()
	Function sets optimal parameters values for chosen SVM SGD model. More...

int	getSvmsgdType ()

void	setSvmsgdType (int svmsgdType)

int	getMarginType ()

void	setMarginType (int marginType)

float	getMarginRegularization ()

void	setMarginRegularization (float marginRegularization)

float	getInitialStepSize ()

void	setInitialStepSize (float InitialStepSize)

float	getStepDecreasingPower ()

void	setStepDecreasingPower (float stepDecreasingPower)

TermCriteria	getTermCriteria ()

void	setTermCriteria (TermCriteria val)

Public Member Functions inherited from OpenCVForUnity.MlModule.StatModel
int	getVarCount ()
	Returns the number of variables in training samples. More...

override bool	empty ()
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...

bool	isTrained ()
	Returns true if the model is trained. More...

bool	isClassifier ()
	Returns true if the model is classifier. More...

bool	train (TrainData trainData, int flags)
	Trains the statistical model. More...

bool	train (TrainData trainData)
	Trains the statistical model. More...

bool	train (Mat samples, int layout, Mat responses)
	Trains the statistical model. More...

float	calcError (TrainData data, bool test, Mat resp)
	Computes error on the training or test dataset. More...

virtual float	predict (Mat samples, Mat results, int flags)
	Predicts response(s) for the provided sample(s) More...

virtual float	predict (Mat samples, Mat results)
	Predicts response(s) for the provided sample(s) More...

virtual float	predict (Mat samples)
	Predicts response(s) for the provided sample(s) More...

Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
IntPtr	getNativeObjAddr ()

virtual void	clear ()
	Clears the algorithm state. More...

void	save (string filename)

virtual string	getDefaultName ()

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()

void	ThrowIfDisposed ()

Static Public Member Functions
static new SVMSGD	__fromPtr__ (IntPtr addr)

static SVMSGD	create ()
	Creates empty model. Use StatModel::train to train the model. Since SVMSGD has several parameters, you may want to find the best parameters for your problem or use setOptimalParameters() to set some default parameters. More...

static SVMSGD	load (string filepath, string nodeName)
	Loads and creates a serialized SVMSGD from a file. More...

static SVMSGD	load (string filepath)
	Loads and creates a serialized SVMSGD from a file. More...

Static Public Member Functions inherited from OpenCVForUnity.MlModule.StatModel
static new StatModel	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
static Algorithm	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Public Attributes
const int	SOFT_MARGIN = 0

const int	HARD_MARGIN = 1

const int	SGD = 0

const int	ASGD = 1

Public Attributes inherited from OpenCVForUnity.MlModule.StatModel
const int	UPDATE_MODEL = 1

const int	RAW_OUTPUT = 1

const int	COMPRESSED_INPUT = 2

const int	PREPROCESSED_INPUT = 4

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

Detailed Description

\ Stochastic Gradient Descent SVM Classifier * ***************************************************************************************

Member Function Documentation

◆ fromPtr()

static new SVMSGD OpenCVForUnity.MlModule.SVMSGD.__fromPtr__ ( IntPtr addr )

static

◆ create()

static SVMSGD OpenCVForUnity.MlModule.SVMSGD.create ( )

static

Creates empty model. Use StatModel::train to train the model. Since SVMSGD has several parameters, you may want to find the best parameters for your problem or use setOptimalParameters() to set some default parameters.

◆ Dispose()

override void OpenCVForUnity.MlModule.SVMSGD.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.MlModule.StatModel.

◆ getInitialStepSize()

float OpenCVForUnity.MlModule.SVMSGD.getInitialStepSize ( )

See also: setInitialStepSize

◆ getMarginRegularization()

float OpenCVForUnity.MlModule.SVMSGD.getMarginRegularization ( )

See also: setMarginRegularization

◆ getMarginType()

int OpenCVForUnity.MlModule.SVMSGD.getMarginType ( )

See also: setMarginType

◆ getShift()

float OpenCVForUnity.MlModule.SVMSGD.getShift ( )

Returns: the shift of the trained model (decision function f(x) = weights * x + shift).

◆ getStepDecreasingPower()

float OpenCVForUnity.MlModule.SVMSGD.getStepDecreasingPower ( )

See also: setStepDecreasingPower

◆ getSvmsgdType()

int OpenCVForUnity.MlModule.SVMSGD.getSvmsgdType ( )

See also: setSvmsgdType

◆ getTermCriteria()

TermCriteria OpenCVForUnity.MlModule.SVMSGD.getTermCriteria ( )

See also: setTermCriteria

◆ getWeights()

Mat OpenCVForUnity.MlModule.SVMSGD.getWeights ( )

Returns: the weights of the trained model (decision function f(x) = weights * x + shift).

◆ load() [1/2]

static SVMSGD OpenCVForUnity.MlModule.SVMSGD.load	(	string	filepath,
		string	nodeName
	)

static

Loads and creates a serialized SVMSGD from a file.

Use SVMSGD::save to serialize and store an SVMSGD to disk. Load the SVMSGD 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 SVMSGD
nodeName	name of node containing the classifier

◆ load() [2/2]

static SVMSGD OpenCVForUnity.MlModule.SVMSGD.load ( string filepath )

static

Loads and creates a serialized SVMSGD from a file.

Use SVMSGD::save to serialize and store an SVMSGD to disk. Load the SVMSGD 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 SVMSGD
nodeName	name of node containing the classifier

◆ setInitialStepSize()

void OpenCVForUnity.MlModule.SVMSGD.setInitialStepSize ( float InitialStepSize )

See also: getInitialStepSize

◆ setMarginRegularization()

void OpenCVForUnity.MlModule.SVMSGD.setMarginRegularization ( float marginRegularization )

See also: getMarginRegularization

◆ setMarginType()

void OpenCVForUnity.MlModule.SVMSGD.setMarginType ( int marginType )

See also: getMarginType

◆ setOptimalParameters() [1/3]

void OpenCVForUnity.MlModule.SVMSGD.setOptimalParameters	(	int	svmsgdType,
		int	marginType
	)

Function sets optimal parameters values for chosen SVM SGD model.

Parameters

svmsgdType	is the type of SVMSGD classifier.
marginType	is the type of margin constraint.

◆ setOptimalParameters() [2/3]

void OpenCVForUnity.MlModule.SVMSGD.setOptimalParameters ( int svmsgdType )

Function sets optimal parameters values for chosen SVM SGD model.

Parameters

svmsgdType	is the type of SVMSGD classifier.
marginType	is the type of margin constraint.

◆ setOptimalParameters() [3/3]

void OpenCVForUnity.MlModule.SVMSGD.setOptimalParameters ( )

Function sets optimal parameters values for chosen SVM SGD model.

Parameters

svmsgdType	is the type of SVMSGD classifier.
marginType	is the type of margin constraint.

◆ setStepDecreasingPower()

void OpenCVForUnity.MlModule.SVMSGD.setStepDecreasingPower ( float stepDecreasingPower )

See also: getStepDecreasingPower

◆ setSvmsgdType()

void OpenCVForUnity.MlModule.SVMSGD.setSvmsgdType ( int svmsgdType )

See also: getSvmsgdType

◆ setTermCriteria()

void OpenCVForUnity.MlModule.SVMSGD.setTermCriteria ( TermCriteria val )

See also: getTermCriteria

Member Data Documentation

◆ ASGD

const int OpenCVForUnity.MlModule.SVMSGD.ASGD = 1

◆ HARD_MARGIN

const int OpenCVForUnity.MlModule.SVMSGD.HARD_MARGIN = 1

◆ SGD

const int OpenCVForUnity.MlModule.SVMSGD.SGD = 0

◆ SOFT_MARGIN

const int OpenCVForUnity.MlModule.SVMSGD.SOFT_MARGIN = 0

The documentation for this class was generated from the following file:

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/ml/SVMSGD.cs

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ __fromPtr__()

◆ create()

◆ Dispose()

◆ getInitialStepSize()

◆ getMarginRegularization()

◆ getMarginType()

◆ getShift()

◆ getStepDecreasingPower()

◆ getSvmsgdType()

◆ getTermCriteria()

◆ getWeights()

◆ load() [1/2]

◆ load() [2/2]

◆ setInitialStepSize()

◆ setMarginRegularization()

◆ setMarginType()

◆ setOptimalParameters() [1/3]

◆ setOptimalParameters() [2/3]

◆ setOptimalParameters() [3/3]

◆ setStepDecreasingPower()

◆ setSvmsgdType()

◆ setTermCriteria()

Member Data Documentation

◆ ASGD

◆ HARD_MARGIN

◆ SGD

◆ SOFT_MARGIN

◆ fromPtr()