Class CvNormalBayesClassifier

__init__( (object)arg1) -> None :

    C++ signature :
        void __init__(_object*)

__init__( (object)arg1, (Mat)_train_data, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat()]]) -> None :

    C++ signature :
        void __init__(_object*,cv::Mat,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat()]])

Overrides: object.__init__

clear( (CvNormalBayesClassifier)arg1) -> None :

    C++ signature :
        void clear(CvNormalBayesClassifier {lvalue})

clear( (CvNormalBayesClassifier)arg1) -> None :

    C++ signature :
        void clear(CvNormalBayesClassifier_wrapper {lvalue})

Overrides: CvStatModel.clear

load( (CvNormalBayesClassifier)arg1, (str)filename [, (str)name=None]) -> None :

    C++ signature :
        void load(CvNormalBayesClassifier {lvalue},char const* [,char const*=None])

load( (CvNormalBayesClassifier)arg1, (str)filename [, (str)name=None]) -> None :

    C++ signature :
        void load(CvNormalBayesClassifier_wrapper {lvalue},char const* [,char const*=None])

Overrides: CvStatModel.load

predict( (CvNormalBayesClassifier)inst, (Mat)_samples [, (Mat)results=Mat()]) -> object :
    
    Argument '_samples':
        C++ type: ::CvMat const *
        Python type: Mat
    Argument 'results':
        C++ type: ::CvMat *
        Python type: Mat

    C++ signature :
        boost::python::api::object predict(CvNormalBayesClassifier,cv::Mat {lvalue} [,cv::Mat=Mat()])

predict( (CvNormalBayesClassifier)arg1, (Mat)_samples [, (Mat)results=None]) -> float :

    C++ signature :
        float predict(CvNormalBayesClassifier {lvalue},cv::Mat [,cv::Mat*=None])

predict( (CvNormalBayesClassifier)arg1, (Mat)_samples [, (Mat)results=None]) -> float :

    C++ signature :
        float predict(CvNormalBayesClassifier_wrapper {lvalue},cv::Mat [,cv::Mat*=None])

read( (CvNormalBayesClassifier)inst, (FileStorage)storage, (FileNode)node) -> None :
    
    Argument 'storage':
        C++ type: ::CvFileStorage *
        Python type: FileStorage
    Argument 'node':
        C++ type: ::CvFileNode *
        Python type: FileNode

    C++ signature :
        void read(CvNormalBayesClassifier {lvalue},cv::FileStorage {lvalue},cv::FileNode {lvalue})

Overrides: CvStatModel.read

save( (CvNormalBayesClassifier)arg1, (str)filename [, (str)name=None]) -> None :

    C++ signature :
        void save(CvNormalBayesClassifier {lvalue},char const* [,char const*=None])

save( (CvNormalBayesClassifier)arg1, (str)filename [, (str)name=None]) -> None :

    C++ signature :
        void save(CvNormalBayesClassifier_wrapper {lvalue},char const* [,char const*=None])

Overrides: CvStatModel.save

train( (CvNormalBayesClassifier)inst, (Mat)_train_data, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (bool)update=False]]]) -> object :
    
    Argument '_train_data':
        C++ type: ::CvMat const *
        Python type: Mat
    Argument '_responses':
        C++ type: ::CvMat const *
        Python type: Mat
    Argument '_var_idx':
        C++ type: ::CvMat const *
        Python type: Mat
    Argument '_sample_idx':
        C++ type: ::CvMat const *
        Python type: Mat

    C++ signature :
        boost::python::api::object train(CvNormalBayesClassifier {lvalue},cv::Mat {lvalue},cv::Mat {lvalue} [,cv::Mat=Mat() [,cv::Mat=Mat() [,bool=False]]])

train( (CvNormalBayesClassifier)arg1, (Mat)_train_data, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (bool)update=False]]]) -> bool :

    C++ signature :
        bool train(CvNormalBayesClassifier {lvalue},cv::Mat,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,bool=False]]])

train( (CvNormalBayesClassifier)arg1, (Mat)_train_data, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (bool)update=False]]]) -> bool :

    C++ signature :
        bool train(CvNormalBayesClassifier_wrapper {lvalue},cv::Mat,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,bool=False]]])

write( (CvNormalBayesClassifier)inst, (FileStorage)storage, (str)name) -> None :
    
    Argument 'storage':
        C++ type: ::CvFileStorage *
        Python type: FileStorage

    C++ signature :
        void write(CvNormalBayesClassifier,cv::FileStorage {lvalue},char const*)

Overrides: CvStatModel.write

this

Get Method:

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