OpenCVForUnity.MlModule.NormalBayesClassifier Class Reference

Bayes classifier for normally distributed data. More...

Public Member Functions
float	predictProb (Mat inputs, Mat outputs, Mat outputProbs)
	Predicts the response for sample(s).
float	predictProb (Mat inputs, Mat outputs, Mat outputProbs, int flags)
	Predicts the response for sample(s).
Public Member Functions inherited from OpenCVForUnity.MlModule.StatModel
float	calcError (TrainData data, bool test, Mat resp)
	Computes error on the training or test dataset.
override bool	empty ()
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
int	getVarCount ()
	Returns the number of variables in training samples.
bool	isClassifier ()
	Returns true if the model is classifier.
bool	isTrained ()
	Returns true if the model is trained.
virtual float	predict (Mat samples)
	Predicts response(s) for the provided sample(s)
virtual float	predict (Mat samples, Mat results)
	Predicts response(s) for the provided sample(s)
virtual float	predict (Mat samples, Mat results, int flags)
	Predicts response(s) for the provided sample(s)
bool	train (Mat samples, int layout, Mat responses)
	Trains the statistical model.
bool	train (TrainData trainData)
	Trains the statistical model.
bool	train (TrainData trainData, int flags)
	Trains the statistical model.
Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
virtual void	clear ()
	Clears the algorithm state.
virtual string	getDefaultName ()
IntPtr	getNativeObjAddr ()
void	save (string filename)
Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()
void	ThrowIfDisposed ()

Static Public Member Functions
static new NormalBayesClassifier	__fromPtr__ (IntPtr addr)
static NormalBayesClassifier	create ()
static NormalBayesClassifier	load (string filepath)
	Loads and creates a serialized NormalBayesClassifier from a file.
static NormalBayesClassifier	load (string filepath, string nodeName)
	Loads and creates a serialized NormalBayesClassifier from a file.
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)

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.CoreModule.Algorithm
Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()
	DisposableOpenCVObject (bool isEnabledDispose)
	DisposableOpenCVObject (IntPtr ptr)
	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)
Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()
	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Static Public Attributes inherited from OpenCVForUnity.MlModule.StatModel
const int	COMPRESSED_INPUT = 2
const int	PREPROCESSED_INPUT = 4
const int	RAW_OUTPUT = 1
const int	UPDATE_MODEL = 1
Package Functions inherited from OpenCVForUnity.MlModule.StatModel
Package Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed [get, protected set]
bool	IsEnabledDispose [get, set]

Detailed Description

Bayes classifier for normally distributed data.

See also

ml_intro_bayes

Member Function Documentation

__fromPtr__()

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

static

create()

static NormalBayesClassifier OpenCVForUnity.MlModule.NormalBayesClassifier.create ( )

static

Creates empty model Use StatModel.train to train the model after creation.

Dispose()

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

protectedvirtual

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

load() [1/2]

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

static

Loads and creates a serialized NormalBayesClassifier from a file.

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

load() [2/2]

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

static

Loads and creates a serialized NormalBayesClassifier from a file.

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

predictProb() [1/2]

float OpenCVForUnity.MlModule.NormalBayesClassifier.predictProb	(	Mat	inputs,
		Mat	outputs,
		Mat	outputProbs )

Predicts the response for sample(s).

The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix inputs. In case of multiple input vectors, there should be one output vector outputs. The predicted class for a single input vector is returned by the method. The vector outputProbs contains the output probabilities corresponding to each element of result.

predictProb() [2/2]

float OpenCVForUnity.MlModule.NormalBayesClassifier.predictProb	(	Mat	inputs,
		Mat	outputs,
		Mat	outputProbs,
		int	flags )

Predicts the response for sample(s).

The method estimates the most probable classes for input vectors. Input vectors (one or more) are stored as rows of the matrix inputs. In case of multiple input vectors, there should be one output vector outputs. The predicted class for a single input vector is returned by the method. The vector outputProbs contains the output probabilities corresponding to each element of result.

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

• OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/ml/NormalBayesClassifier.cs