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object --+
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??.instance --+
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CvStatModel --+
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CvDTree --+
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CvBoostTree
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Inherited from Inherited from Inherited from Inherited from |
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__instance_size__ = 40
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Inherited from Inherited from |
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__init__( (object)arg1) -> None :
C++ signature :
void __init__(_object*)
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clear( (CvBoostTree)arg1) -> None :
C++ signature :
void clear(CvBoostTree {lvalue})
clear( (CvBoostTree)arg1) -> None :
C++ signature :
void clear(CvBoostTree_wrapper {lvalue})
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load( (CvBoostTree)arg1, (str)filename [, (str)name=None]) -> None :
C++ signature :
void load(CvBoostTree {lvalue},char const* [,char const*=None])
load( (CvBoostTree)arg1, (str)filename [, (str)name=None]) -> None :
C++ signature :
void load(CvBoostTree_wrapper {lvalue},char const* [,char const*=None])
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predict( (CvBoostTree)arg1, (Mat)_sample [, (Mat)_missing_data_mask=Mat() [, (bool)preprocessed_input=False]]) -> object :
C++ signature :
CvDTreeNode* predict(CvBoostTree {lvalue},cv::Mat [,cv::Mat=Mat() [,bool=False]])
predict( (CvBoostTree)arg1, (Mat)_sample [, (Mat)_missing_data_mask=Mat() [, (bool)preprocessed_input=False]]) -> object :
C++ signature :
CvDTreeNode* predict(CvBoostTree_wrapper {lvalue},cv::Mat [,cv::Mat=Mat() [,bool=False]])
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read_2a3ca3cc513554db6e212a9addc77685( (CvBoostTree)inst, (FileStorage)fs, (FileNode)node, (CvDTreeTrainData)data) -> None :
Wrapped function:
read
Argument 'node':
C/C++ type: ::CvFileNode *.
Python type: FileNode.
Argument 'fs':
C/C++ type: ::CvFileStorage *.
Python type: FileStorage.
C++ signature :
void read_2a3ca3cc513554db6e212a9addc77685(CvBoostTree {lvalue},cv::FileStorage {lvalue},cv::FileNode {lvalue},CvDTreeTrainData*)
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read_8b11dd2a0d1066814c3b544147bcd2d1( (CvBoostTree)inst, (FileStorage)fs, (FileNode)node, (CvBoost)ensemble, (CvDTreeTrainData)_data) -> None :
Wrapped function:
read
Argument 'node':
C/C++ type: ::CvFileNode *.
Python type: FileNode.
Argument 'fs':
C/C++ type: ::CvFileStorage *.
Python type: FileStorage.
C++ signature :
void read_8b11dd2a0d1066814c3b544147bcd2d1(CvBoostTree {lvalue},cv::FileStorage {lvalue},cv::FileNode {lvalue},CvBoost*,CvDTreeTrainData*)
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read_93f028bf66aae7b24915780d90476481( (CvBoostTree)inst, (FileStorage)fs, (FileNode)node) -> None :
Wrapped function:
read
Argument 'node':
C/C++ type: ::CvFileNode *.
Python type: FileNode.
Argument 'fs':
C/C++ type: ::CvFileStorage *.
Python type: FileStorage.
C++ signature :
void read_93f028bf66aae7b24915780d90476481(CvBoostTree {lvalue},cv::FileStorage {lvalue},cv::FileNode {lvalue})
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save( (CvBoostTree)arg1, (str)filename [, (str)name=None]) -> None :
C++ signature :
void save(CvBoostTree {lvalue},char const* [,char const*=None])
save( (CvBoostTree)arg1, (str)filename [, (str)name=None]) -> None :
C++ signature :
void save(CvBoostTree_wrapper {lvalue},char const* [,char const*=None])
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scale( (CvBoostTree)arg1, (object)s) -> None :
C++ signature :
void scale(CvBoostTree {lvalue},double)
scale( (CvBoostTree)arg1, (object)s) -> None :
C++ signature :
void scale(CvBoostTree_wrapper {lvalue},double)
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train( (CvBoostTree)arg1, (CvMLData)_data [, (CvDTreeParams)_params=<pyopencv.pyopencvext.CvDTreeParams object at 0x020D4670>]) -> bool :
C++ signature :
bool train(CvBoostTree {lvalue},CvMLData* [,CvDTreeParams=<pyopencv.pyopencvext.CvDTreeParams object at 0x020D4670>])
train( (CvBoostTree)arg1, (CvMLData)_data [, (CvDTreeParams)_params=<pyopencv.pyopencvext.CvDTreeParams object at 0x020D4670>]) -> bool :
C++ signature :
bool train(CvBoostTree_wrapper {lvalue},CvMLData* [,CvDTreeParams=<pyopencv.pyopencvext.CvDTreeParams object at 0x020D4670>])
train( (CvBoostTree)arg1, (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 0x020D4620>]]]]]) -> bool :
C++ signature :
bool train(CvBoostTree {lvalue},cv::Mat,int,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,CvDTreeParams=<pyopencv.pyopencvext.CvDTreeParams object at 0x020D4620>]]]]])
train( (CvBoostTree)arg1, (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 0x020D4620>]]]]]) -> bool :
C++ signature :
bool train(CvBoostTree_wrapper {lvalue},cv::Mat,int,cv::Mat [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,cv::Mat=Mat() [,CvDTreeParams=<pyopencv.pyopencvext.CvDTreeParams object at 0x020D4620>]]]]])
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write_d1e064f966d50e01902f80ef0f045741( (CvDTree)inst, (FileStorage)fs) -> None :
Wrapped function:
write
Argument 'fs':
C/C++ type: ::CvFileStorage *.
Python type: FileStorage.
C++ signature :
void write_d1e064f966d50e01902f80ef0f045741(CvDTree,cv::FileStorage {lvalue})
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write_d5b05f94ebb65d268cbd4756fe0d6221( (CvDTree)inst, (FileStorage)fs, (str)name) -> None :
Wrapped function:
write
Argument 'fs':
C/C++ type: ::CvFileStorage *.
Python type: FileStorage.
C++ signature :
void write_d5b05f94ebb65d268cbd4756fe0d6221(CvDTree,cv::FileStorage {lvalue},char const*)
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