Class CvDTreeTrainData

__init__( (object)arg1) -> None :

    C++ signature :
        void __init__(_object*)

__init__( (object)arg1, (CvMat)_train_data, (object)_tflag, (CvMat)_responses [, (CvMat)_var_idx=None [, (CvMat)_sample_idx=None [, (CvMat)_var_type=None [, (CvMat)_missing_mask=None [, (CvDTreeParams)_params=<pyopencv.pyopencvext.CvDTreeParams object at 0x02B817B0> [, (bool)_shared=False [, (bool)_add_labels=False]]]]]]]) -> None :
    
    Wrapped function:
        CvDTreeTrainData
    Argument '_missing_mask':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_var_idx':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_var_type':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_sample_idx':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_responses':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_train_data':
        C/C++ type: ::CvMat const *.
        Python type: Mat.

    C++ signature :
        void __init__(_object*,CvMat const*,int,CvMat const* [,CvMat const*=None [,CvMat const*=None [,CvMat const*=None [,CvMat const*=None [,CvDTreeParams=<pyopencv.pyopencvext.CvDTreeParams object at 0x02B817B0> [,bool=False [,bool=False]]]]]]])

Overrides: object.__init__

helper for pickle

Overrides: object.__reduce__

(inherited documentation)

clear( (CvDTreeTrainData)arg1) -> None :

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

clear( (CvDTreeTrainData)arg1) -> None :

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

do_responses_copy( (CvDTreeTrainData)arg1) -> None :

    C++ signature :
        void do_responses_copy(CvDTreeTrainData {lvalue})

do_responses_copy( (CvDTreeTrainData)arg1) -> None :

    C++ signature :
        void do_responses_copy(CvDTreeTrainData_wrapper {lvalue})

free_node( (CvDTreeTrainData)arg1, (object)node) -> None :

    C++ signature :
        void free_node(CvDTreeTrainData {lvalue},CvDTreeNode*)

free_node( (CvDTreeTrainData)arg1, (object)node) -> None :

    C++ signature :
        void free_node(CvDTreeTrainData_wrapper {lvalue},CvDTreeNode*)

free_node_data( (CvDTreeTrainData)arg1, (object)node) -> None :

    C++ signature :
        void free_node_data(CvDTreeTrainData {lvalue},CvDTreeNode*)

free_node_data( (CvDTreeTrainData)arg1, (object)node) -> None :

    C++ signature :
        void free_node_data(CvDTreeTrainData_wrapper {lvalue},CvDTreeNode*)

free_train_data( (CvDTreeTrainData)arg1) -> None :

    C++ signature :
        void free_train_data(CvDTreeTrainData {lvalue})

free_train_data( (CvDTreeTrainData)arg1) -> None :

    C++ signature :
        void free_train_data(CvDTreeTrainData_wrapper {lvalue})

get_child_buf_idx( (CvDTreeTrainData)arg1, (object)n) -> int :

    C++ signature :
        int get_child_buf_idx(CvDTreeTrainData {lvalue},CvDTreeNode*)

get_child_buf_idx( (CvDTreeTrainData)arg1, (object)n) -> int :

    C++ signature :
        int get_child_buf_idx(CvDTreeTrainData_wrapper {lvalue},CvDTreeNode*)

get_num_classes( (CvDTreeTrainData)arg1) -> int :

    C++ signature :
        int get_num_classes(CvDTreeTrainData {lvalue})

get_var_type( (CvDTreeTrainData)arg1, (object)vi) -> int :

    C++ signature :
        int get_var_type(CvDTreeTrainData {lvalue},int)

get_work_var_count( (CvDTreeTrainData)arg1) -> int :

    C++ signature :
        int get_work_var_count(CvDTreeTrainData {lvalue})

new_node( (CvDTreeTrainData)arg1, (object)parent, (object)count, (object)storage_idx, (object)offset) -> object :

    C++ signature :
        CvDTreeNode* new_node(CvDTreeTrainData {lvalue},CvDTreeNode*,int,int,int)

new_node( (CvDTreeTrainData)arg1, (object)parent, (object)count, (object)storage_idx, (object)offset) -> object :

    C++ signature :
        CvDTreeNode* new_node(CvDTreeTrainData_wrapper {lvalue},CvDTreeNode*,int,int,int)

new_split_cat( (CvDTreeTrainData)arg1, (object)vi, (object)quality) -> CvDTreeSplit :

    C++ signature :
        CvDTreeSplit* new_split_cat(CvDTreeTrainData {lvalue},int,float)

new_split_cat( (CvDTreeTrainData)arg1, (object)vi, (object)quality) -> CvDTreeSplit :

    C++ signature :
        CvDTreeSplit* new_split_cat(CvDTreeTrainData_wrapper {lvalue},int,float)

new_split_ord( (CvDTreeTrainData)arg1, (object)vi, (object)cmp_val, (object)split_point, (object)inversed, (object)quality) -> CvDTreeSplit :

    C++ signature :
        CvDTreeSplit* new_split_ord(CvDTreeTrainData {lvalue},int,float,int,int,float)

new_split_ord( (CvDTreeTrainData)arg1, (object)vi, (object)cmp_val, (object)split_point, (object)inversed, (object)quality) -> CvDTreeSplit :

    C++ signature :
        CvDTreeSplit* new_split_ord(CvDTreeTrainData_wrapper {lvalue},int,float,int,int,float)

read_params( (CvDTreeTrainData)inst, (FileStorage)fs, (FileNode)node) -> None :
    
    Argument 'node':
        C/C++ type: ::CvFileNode *.
        Python type: FileNode.
    Argument 'fs':
        C/C++ type: ::CvFileStorage *.
        Python type: FileStorage.

    C++ signature :
        void read_params(CvDTreeTrainData {lvalue},cv::FileStorage {lvalue},cv::FileNode {lvalue})

set_data( (CvDTreeTrainData)inst, (Mat)_train_data, (object)_tflag, (Mat)_responses [, (Mat)_var_idx=Mat() [, (Mat)_sample_idx=Mat() [, (Mat)_var_type=Mat() [, (Mat)_missing_mask=Mat() [, (CvDTreeParams)_params=<pyopencv.pyopencvext.CvDTreeParams object at 0x02B81760> [, (bool)_shared=False [, (bool)_add_labels=False [, (bool)_update_data=False]]]]]]]]) -> None :
    
    Argument '_missing_mask':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_var_idx':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_var_type':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_sample_idx':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_responses':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_train_data':
        C/C++ type: ::CvMat const *.
        Python type: Mat.

    C++ signature :
        void set_data(CvDTreeTrainData {lvalue},cv::Mat {lvalue},int,cv::Mat {lvalue} [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,CvDTreeParams=<pyopencv.pyopencvext.CvDTreeParams object at 0x02B81760> [,bool=False [,bool=False [,bool=False]]]]]]]])

set_params( (CvDTreeTrainData)arg1, (CvDTreeParams)params) -> bool :

    C++ signature :
        bool set_params(CvDTreeTrainData {lvalue},CvDTreeParams)

set_params( (CvDTreeTrainData)arg1, (CvDTreeParams)params) -> bool :

    C++ signature :
        bool set_params(CvDTreeTrainData_wrapper {lvalue},CvDTreeParams)

subsample_data( (CvDTreeTrainData)inst, (Mat)_subsample_idx) -> object :
    
    Argument '_subsample_idx':
        C/C++ type: ::CvMat const *.
        Python type: Mat.

    C++ signature :
        boost::python::api::object subsample_data(CvDTreeTrainData {lvalue},cv::Mat {lvalue})

write_params( (CvDTreeTrainData)inst, (FileStorage)fs) -> None :
    
    Argument 'fs':
        C/C++ type: ::CvFileStorage *.
        Python type: FileStorage.

    C++ signature :
        void write_params(CvDTreeTrainData,cv::FileStorage {lvalue})

buf

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buf_count

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buf_size

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cat_count

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cat_map

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cat_var_count

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counts

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cv_heap

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data_root

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direction

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have_labels

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is_classifier

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max_c_count

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node_heap

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nv_heap

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ord_var_count

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params

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priors

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responses

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rng

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shared

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temp_storage

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tflag

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this

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train_data

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tree_storage

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var_all

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var_idx

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var_type

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work_var_count

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