The class represents a single decision tree or a collection of decision trees. More...

Inheritance diagram for OpenCVForUnity.MlModule.DTrees:

Public Member Functions
int	getMaxCategories ()

void	setMaxCategories (int val)

int	getMaxDepth ()

void	setMaxDepth (int val)

int	getMinSampleCount ()

void	setMinSampleCount (int val)

int	getCVFolds ()

void	setCVFolds (int val)

bool	getUseSurrogates ()

void	setUseSurrogates (bool val)

bool	getUse1SERule ()

void	setUse1SERule (bool val)

bool	getTruncatePrunedTree ()

void	setTruncatePrunedTree (bool val)

float	getRegressionAccuracy ()

void	setRegressionAccuracy (float val)

Mat	getPriors ()

void	setPriors (Mat 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 DTrees	__fromPtr__ (IntPtr addr)

static DTrees	create ()
	Creates the empty model. More...

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

static DTrees	load (string filepath)
	Loads and creates a serialized DTrees 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	PREDICT_AUTO = 0

const int	PREDICT_SUM = (1 << 8)

const int	PREDICT_MAX_VOTE = (2 << 8)

const int	PREDICT_MASK = (3 << 8)

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.MlModule.StatModel
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

The class represents a single decision tree or a collection of decision trees.

The current public interface of the class allows user to train only a single decision tree, however the class is capable of storing multiple decision trees and using them for prediction (by summing responses or using a voting schemes), and the derived from DTrees classes (such as RTrees and Boost) use this capability to implement decision tree ensembles.

See also: ml_intro_trees

Member Function Documentation

◆ fromPtr()

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

static

◆ create()

static DTrees OpenCVForUnity.MlModule.DTrees.create ( )

static

Creates the empty model.

The static method creates empty decision tree with the specified parameters. It should be then trained using train method (see StatModel::train). Alternatively, you can load the model from file using Algorithm::load<DTrees>(filename).

◆ Dispose()

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

protectedvirtual

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

Reimplemented in OpenCVForUnity.MlModule.RTrees.

◆ getCVFolds()

int OpenCVForUnity.MlModule.DTrees.getCVFolds ( )

See also: setCVFolds

◆ getMaxCategories()

int OpenCVForUnity.MlModule.DTrees.getMaxCategories ( )

See also: setMaxCategories

◆ getMaxDepth()

int OpenCVForUnity.MlModule.DTrees.getMaxDepth ( )

See also: setMaxDepth

◆ getMinSampleCount()

int OpenCVForUnity.MlModule.DTrees.getMinSampleCount ( )

See also: setMinSampleCount

◆ getPriors()

Mat OpenCVForUnity.MlModule.DTrees.getPriors ( )

See also: setPriors

◆ getRegressionAccuracy()

float OpenCVForUnity.MlModule.DTrees.getRegressionAccuracy ( )

See also: setRegressionAccuracy

◆ getTruncatePrunedTree()

bool OpenCVForUnity.MlModule.DTrees.getTruncatePrunedTree ( )

See also: setTruncatePrunedTree

◆ getUse1SERule()

bool OpenCVForUnity.MlModule.DTrees.getUse1SERule ( )

See also: setUse1SERule

◆ getUseSurrogates()

bool OpenCVForUnity.MlModule.DTrees.getUseSurrogates ( )

See also: setUseSurrogates

◆ load() [1/2]

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

static

Loads and creates a serialized DTrees from a file.

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

◆ load() [2/2]

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

static

Loads and creates a serialized DTrees from a file.

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

◆ setCVFolds()

void OpenCVForUnity.MlModule.DTrees.setCVFolds ( int val )

See also: getCVFolds

◆ setMaxCategories()

void OpenCVForUnity.MlModule.DTrees.setMaxCategories ( int val )

See also: getMaxCategories

◆ setMaxDepth()

void OpenCVForUnity.MlModule.DTrees.setMaxDepth ( int val )

See also: getMaxDepth

◆ setMinSampleCount()

void OpenCVForUnity.MlModule.DTrees.setMinSampleCount ( int val )

See also: getMinSampleCount

◆ setPriors()

void OpenCVForUnity.MlModule.DTrees.setPriors ( Mat val )

See also: getPriors

◆ setRegressionAccuracy()

void OpenCVForUnity.MlModule.DTrees.setRegressionAccuracy ( float val )

See also: getRegressionAccuracy

◆ setTruncatePrunedTree()

void OpenCVForUnity.MlModule.DTrees.setTruncatePrunedTree ( bool val )

See also: getTruncatePrunedTree

◆ setUse1SERule()

void OpenCVForUnity.MlModule.DTrees.setUse1SERule ( bool val )

See also: getUse1SERule

◆ setUseSurrogates()

void OpenCVForUnity.MlModule.DTrees.setUseSurrogates ( bool val )

See also: getUseSurrogates

Member Data Documentation

◆ PREDICT_AUTO

const int OpenCVForUnity.MlModule.DTrees.PREDICT_AUTO = 0

◆ PREDICT_MASK

const int OpenCVForUnity.MlModule.DTrees.PREDICT_MASK = (3 << 8)

◆ PREDICT_MAX_VOTE

const int OpenCVForUnity.MlModule.DTrees.PREDICT_MAX_VOTE = (2 << 8)

◆ PREDICT_SUM

const int OpenCVForUnity.MlModule.DTrees.PREDICT_SUM = (1 << 8)

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

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

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ __fromPtr__()

◆ create()

◆ Dispose()

◆ getCVFolds()

◆ getMaxCategories()

◆ getMaxDepth()

◆ getMinSampleCount()

◆ getPriors()

◆ getRegressionAccuracy()

◆ getTruncatePrunedTree()

◆ getUse1SERule()

◆ getUseSurrogates()

◆ load() [1/2]

◆ load() [2/2]

◆ setCVFolds()

◆ setMaxCategories()

◆ setMaxDepth()

◆ setMinSampleCount()

◆ setPriors()

◆ setRegressionAccuracy()

◆ setTruncatePrunedTree()

◆ setUse1SERule()

◆ setUseSurrogates()

Member Data Documentation

◆ PREDICT_AUTO

◆ PREDICT_MASK

◆ PREDICT_MAX_VOTE

◆ PREDICT_SUM

◆ fromPtr()