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object --+ | ??.instance --+ | CvDTreeTrainData
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Inherited from Inherited from |
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__instance_size__ = 912
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__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.ml_ext.CvDTreeParams object at 0x021E23A0> [, (bool)_shared=False [, (bool)_add_labels=False]]]]]]]) -> None : Wrapped function: CvDTreeTrainData 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 Argument '_var_type': C++ type: ::CvMat const * Python type: Mat Argument '_missing_mask': 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.ml_ext.CvDTreeParams object at 0x021E23A0> [,bool=False [,bool=False]]]]]]])
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helper for pickle
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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_cat_var_data( (object)self, (object)n, (object)vi) -> object : C++ signature : boost::python::api::object get_cat_var_data(boost::python::api::object,CvDTreeNode*,int) |
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_class_labels( (object)self, (object)n) -> object : C++ signature : boost::python::api::object get_class_labels(boost::python::api::object,CvDTreeNode*) |
get_cv_labels( (object)self, (object)n) -> object : C++ signature : boost::python::api::object get_cv_labels(boost::python::api::object,CvDTreeNode*) |
get_num_classes( (CvDTreeTrainData)arg1) -> int : C++ signature : int get_num_classes(CvDTreeTrainData {lvalue}) |
get_ord_responses( (object)self, (object)n) -> object : C++ signature : boost::python::api::object get_ord_responses(boost::python::api::object,CvDTreeNode*) |
get_ord_var_data( (object)self, (object)n, (object)vi) -> tuple : C++ signature : boost::python::tuple get_ord_var_data(boost::python::api::object,CvDTreeNode*,int) |
get_sample_indices( (object)self, (object)n) -> object : C++ signature : boost::python::api::object get_sample_indices(boost::python::api::object,CvDTreeNode*) |
get_var_type( (CvDTreeTrainData)arg1, (object)vi) -> int : C++ signature : int get_var_type(CvDTreeTrainData {lvalue},int) |
get_vectors( (CvDTreeTrainData)inst, (Mat)_subsample_idx, (vector_float32)values, (vector_uint8)missing, (vector_float32)responses [, (bool)get_class_idx=False]) -> None : Argument '_subsample_idx': C++ type: ::CvMat const * Python type: Mat Argument 'values': C++ type: float * Python type: vector_float32 Argument 'missing': C++ type: ::uchar * Python type: vector_uint8 Argument 'responses': C++ type: float * Python type: vector_float32 C++ signature : void get_vectors(CvDTreeTrainData {lvalue},cv::Mat {lvalue},std::vector<float, std::allocator<float> >,std::vector<unsigned char, std::allocator<unsigned char> >,std::vector<float, std::allocator<float> > [,bool=False]) |
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 'fs': C++ type: ::CvFileStorage * Python type: FileStorage Argument 'node': C++ type: ::CvFileNode * Python type: FileNode 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.ml_ext.CvDTreeParams object at 0x021E2350> [, (bool)_shared=False [, (bool)_add_labels=False [, (bool)_update_data=False]]]]]]]]) -> None : 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 Argument '_var_type': C++ type: ::CvMat const * Python type: Mat Argument '_missing_mask': 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.ml_ext.CvDTreeParams object at 0x021E2350> [,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++ type: ::CvMat const * Python type: Mat C++ signature : boost::python::api::object subsample_data(CvDTreeTrainData {lvalue},cv::Mat {lvalue}) |
validate_buf( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'buf'. The function should be called every time the header of 'buf' is modified by the user. C++ signature : void validate_buf(CvDTreeTrainData_wrapper {lvalue}) |
validate_cat_count( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'cat_count'. The function should be called every time the header of 'cat_count' is modified by the user. C++ signature : void validate_cat_count(CvDTreeTrainData_wrapper {lvalue}) |
validate_cat_map( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'cat_map'. The function should be called every time the header of 'cat_map' is modified by the user. C++ signature : void validate_cat_map(CvDTreeTrainData_wrapper {lvalue}) |
validate_cat_ofs( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'cat_ofs'. The function should be called every time the header of 'cat_ofs' is modified by the user. C++ signature : void validate_cat_ofs(CvDTreeTrainData_wrapper {lvalue}) |
validate_counts( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'counts'. The function should be called every time the header of 'counts' is modified by the user. C++ signature : void validate_counts(CvDTreeTrainData_wrapper {lvalue}) |
validate_direction( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'direction'. The function should be called every time the header of 'direction' is modified by the user. C++ signature : void validate_direction(CvDTreeTrainData_wrapper {lvalue}) |
validate_priors( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'priors'. The function should be called every time the header of 'priors' is modified by the user. C++ signature : void validate_priors(CvDTreeTrainData_wrapper {lvalue}) |
validate_priors_mult( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'priors_mult'. The function should be called every time the header of 'priors_mult' is modified by the user. C++ signature : void validate_priors_mult(CvDTreeTrainData_wrapper {lvalue}) |
validate_responses_copy( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'responses_copy'. The function should be called every time the header of 'responses_copy' is modified by the user. C++ signature : void validate_responses_copy(CvDTreeTrainData_wrapper {lvalue}) |
validate_split_buf( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'split_buf'. The function should be called every time the header of 'split_buf' is modified by the user. C++ signature : void validate_split_buf(CvDTreeTrainData_wrapper {lvalue}) |
validate_var_idx( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'var_idx'. The function should be called every time the header of 'var_idx' is modified by the user. C++ signature : void validate_var_idx(CvDTreeTrainData_wrapper {lvalue}) |
validate_var_type( (CvDTreeTrainData)arg1) -> None : Updates the internal C pointer that represents 'var_type'. The function should be called every time the header of 'var_type' is modified by the user. C++ signature : void validate_var_type(CvDTreeTrainData_wrapper {lvalue}) |
write_params( (CvDTreeTrainData)inst, (FileStorage)fs) -> None : Argument 'fs': C++ type: ::CvFileStorage * Python type: FileStorage C++ signature : void write_params(CvDTreeTrainData,cv::FileStorage {lvalue}) |
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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_ofs
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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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have_priors
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is_buf_16u
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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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priors_mult
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responses
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responses_copy
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rng
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sample_count
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shared
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split_buf
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split_heap
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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_count
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var_idx
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var_type
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work_var_count
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