Class CvBoost

__init__( (object)arg1) -> None :

    C++ signature :
        void __init__(_object*)

__init__( (object)arg1, (Mat)_train_data, (object)_tflag, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (Mat)_var_type=Mat() [, (Mat)_missing_mask=Mat() [, (CvBoostParams)params=<pyopencv.pyopencvext.CvBoostParams object at 0x020D2308>]]]]]) -> None :

    C++ signature :
        void __init__(_object*,cv::Mat,int,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,CvBoostParams=<pyopencv.pyopencvext.CvBoostParams object at 0x020D2308>]]]]])

Overrides: object.__init__

clear( (CvBoost)arg1) -> None :

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

clear( (CvBoost)arg1) -> None :

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

Overrides: CvStatModel.clear

get_data( (CvBoost)arg1) -> CvDTreeTrainData :

    C++ signature :
        CvDTreeTrainData const* get_data(CvBoost {lvalue})

get_params( (CvBoost)arg1) -> CvBoostParams :

    C++ signature :
        CvBoostParams get_params(CvBoost {lvalue})

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

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

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

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

Overrides: CvStatModel.load

predict( (CvBoost)inst, (Mat)_sample [, (Mat)_missing=Mat() [, (CvSlice)slice=CvSlice(start=0, end=1073741823) [, (bool)raw_mode=False [, (bool)return_sum=False]]]]) -> tuple :
    
    Argument 'weak_responses':
        C/C++ type: ::cv::Mat *.
        Python type: Python equivalence of the C/C++ type without pointer.
        Output argument: omitted from the function's calling sequence, and is 
        returned along with the function's return value (if any).

    C++ signature :
        boost::python::tuple predict(CvBoost,cv::Mat [,cv::Mat=Mat() [,CvSlice=CvSlice(start=0, end=1073741823) [,bool=False [,bool=False]]]])

prune( (CvBoost)arg1, (CvSlice)slice) -> None :

    C++ signature :
        void prune(CvBoost {lvalue},CvSlice)

prune( (CvBoost)arg1, (CvSlice)slice) -> None :

    C++ signature :
        void prune(CvBoost_wrapper {lvalue},CvSlice)

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

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

Overrides: CvStatModel.read

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

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

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

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

Overrides: CvStatModel.save

train( (CvBoost)arg1, (CvMLData)data [, (CvBoostParams)params=<pyopencv.pyopencvext.CvBoostParams object at 0x020D2370> [, (bool)update=False]]) -> bool :

    C++ signature :
        bool train(CvBoost {lvalue},CvMLData* [,CvBoostParams=<pyopencv.pyopencvext.CvBoostParams object at 0x020D2370> [,bool=False]])

train( (CvBoost)arg1, (CvMLData)data [, (CvBoostParams)params=<pyopencv.pyopencvext.CvBoostParams object at 0x020D2370> [, (bool)update=False]]) -> bool :

    C++ signature :
        bool train(CvBoost_wrapper {lvalue},CvMLData* [,CvBoostParams=<pyopencv.pyopencvext.CvBoostParams object at 0x020D2370> [,bool=False]])

train( (CvBoost)arg1, (Mat)_train_data, (object)_tflag, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (Mat)_var_type=Mat() [, (Mat)_missing_mask=Mat() [, (CvBoostParams)params=<pyopencv.pyopencvext.CvBoostParams object at 0x020D23D8> [, (bool)update=False]]]]]]) -> bool :

    C++ signature :
        bool train(CvBoost {lvalue},cv::Mat,int,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,CvBoostParams=<pyopencv.pyopencvext.CvBoostParams object at 0x020D23D8> [,bool=False]]]]]])

train( (CvBoost)arg1, (Mat)_train_data, (object)_tflag, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (Mat)_var_type=Mat() [, (Mat)_missing_mask=Mat() [, (CvBoostParams)params=<pyopencv.pyopencvext.CvBoostParams object at 0x020D23D8> [, (bool)update=False]]]]]]) -> bool :

    C++ signature :
        bool train(CvBoost_wrapper {lvalue},cv::Mat,int,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,CvBoostParams=<pyopencv.pyopencvext.CvBoostParams object at 0x020D23D8> [,bool=False]]]]]])

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

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

Overrides: CvStatModel.write

this

Get Method:

unreachable(...)