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Package pyopencv :: Module pyopencvext :: Class CvBoostTree
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Class CvBoostTree

 object --+            
          |            
??.instance --+        
              |        
    CvStatModel --+    
                  |    
            CvDTree --+
                      |
                     CvBoostTree
Instance Methods [hide private]
 
__init__(...)
__init__( (object)arg1) -> None :
 
clear(...)
clear( (CvBoostTree)arg1) -> None :
 
get_var_importance(...)
get_var_importance( (CvBoostTree)arg1) -> CvMat :
 
load(...)
load( (CvBoostTree)arg1, (str)filename [, (str)name=None]) -> None :
 
predict(...)
predict( (CvDTree)inst, (Mat)_sample [, (Mat)_missing_data_mask=Mat() [, (bool)preprocessed_input=False]]) -> object :
 
read_2a3ca3cc513554db6e212a9addc77685(...)
read_2a3ca3cc513554db6e212a9addc77685( (CvBoostTree)inst, (FileStorage)fs, (FileNode)node, (CvDTreeTrainData)data) -> None :
 
read_8b11dd2a0d1066814c3b544147bcd2d1(...)
read_8b11dd2a0d1066814c3b544147bcd2d1( (CvBoostTree)inst, (FileStorage)fs, (FileNode)node, (CvBoost)ensemble, (CvDTreeTrainData)_data) -> None :
 
read_93f028bf66aae7b24915780d90476481(...)
read_93f028bf66aae7b24915780d90476481( (CvBoostTree)inst, (FileStorage)fs, (FileNode)node) -> None :
 
save(...)
save( (CvBoostTree)arg1, (str)filename [, (str)name=None]) -> None :
 
scale(...)
scale( (CvBoostTree)arg1, (object)s) -> None :
 
train(...)
train( (CvBoostTree)arg1, (CvMLData)_data [, (CvDTreeParams)_params=<pyopencv.pyopencvext.CvDTreeParams object at 0x02B816C0>]) -> bool :
 
train_0503ec4c95e73eb7564170b4ebf2868c(...)
train_0503ec4c95e73eb7564170b4ebf2868c( (CvBoostTree)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 0x02B81710>]]]]]) -> object :
 
train_b294c2069381303933ee1350dc284522(...)
train_b294c2069381303933ee1350dc284522( (CvBoostTree)inst, (CvDTreeTrainData)_train_data, (Mat)_subsample_idx) -> object :
 
train_e4be1213b90d12567ec59f1f7ca0b8ae(...)
train_e4be1213b90d12567ec59f1f7ca0b8ae( (CvBoostTree)inst, (CvDTreeTrainData)_train_data, (Mat)subsample_idx, (CvBoost)ensemble) -> object :
 
write_d1e064f966d50e01902f80ef0f045741(...)
write_d1e064f966d50e01902f80ef0f045741( (CvDTree)inst, (FileStorage)fs) -> None :
 
write_d5b05f94ebb65d268cbd4756fe0d6221(...)
write_d5b05f94ebb65d268cbd4756fe0d6221( (CvDTree)inst, (FileStorage)fs, (str)name) -> None :

Inherited from CvDTree: get_data, get_pruned_tree_idx, get_root, read_cddeea9f785886a2157e6dbd38d882a3, read_ea82e003cd38c548aefac78eb636ff45

Inherited from CvStatModel: __reduce__, read, write

Inherited from unreachable.instance: __new__

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Class Variables [hide private]
  __instance_size__ = 40
Properties [hide private]
  this

Inherited from CvDTree: pruned_tree_idx

Inherited from object: __class__

Method Details [hide private]

__init__(...)
(Constructor)

  

__init__( (object)arg1) -> None :

    C++ signature :
        void __init__(_object*)
Overrides: object.__init__

clear(...)

  

clear( (CvBoostTree)arg1) -> None :

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

clear( (CvBoostTree)arg1) -> None :

    C++ signature :
        void clear(CvBoostTree_wrapper {lvalue})
Overrides: CvStatModel.clear

get_var_importance(...)

  

get_var_importance( (CvBoostTree)arg1) -> CvMat :

    C++ signature :
        CvMat const* get_var_importance(CvBoostTree {lvalue})

get_var_importance( (CvBoostTree)arg1) -> CvMat :

    C++ signature :
        CvMat const* get_var_importance(CvBoostTree_wrapper {lvalue})
Overrides: CvDTree.get_var_importance

load(...)

  

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])
Overrides: CvStatModel.load

predict(...)

  

predict( (CvDTree)inst, (Mat)_sample [, (Mat)_missing_data_mask=Mat() [, (bool)preprocessed_input=False]]) -> object :
    
    Argument '_missing_data_mask':
        C/C++ type: ::CvMat const *.
        Python type: Mat.
    Argument '_sample':
        C/C++ type: ::CvMat const *.
        Python type: Mat.

    C++ signature :
        boost::python::api::object predict(CvDTree,cv::Mat {lvalue} [,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 {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]])
Overrides: CvDTree.predict

read_2a3ca3cc513554db6e212a9addc77685(...)

  

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*)

read_8b11dd2a0d1066814c3b544147bcd2d1(...)

  

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*)

read_93f028bf66aae7b24915780d90476481(...)

  

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})

save(...)

  

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])
Overrides: CvStatModel.save

scale(...)

  

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)

train(...)

  

train( (CvBoostTree)arg1, (CvMLData)_data [, (CvDTreeParams)_params=<pyopencv.pyopencvext.CvDTreeParams object at 0x02B816C0>]) -> bool :

    C++ signature :
        bool train(CvBoostTree {lvalue},CvMLData* [,CvDTreeParams=<pyopencv.pyopencvext.CvDTreeParams object at 0x02B816C0>])

train( (CvBoostTree)arg1, (CvMLData)_data [, (CvDTreeParams)_params=<pyopencv.pyopencvext.CvDTreeParams object at 0x02B816C0>]) -> bool :

    C++ signature :
        bool train(CvBoostTree_wrapper {lvalue},CvMLData* [,CvDTreeParams=<pyopencv.pyopencvext.CvDTreeParams object at 0x02B816C0>])

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 0x02B81670>]]]]]) -> 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 0x02B81670>]]]]])

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 0x02B81670>]]]]]) -> 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 0x02B81670>]]]]])
Overrides: CvDTree.train

train_0503ec4c95e73eb7564170b4ebf2868c(...)

  

train_0503ec4c95e73eb7564170b4ebf2868c( (CvBoostTree)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 0x02B81710>]]]]]) -> object :
    
    Wrapped function:
        train
    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 :
        boost::python::api::object train_0503ec4c95e73eb7564170b4ebf2868c(CvBoostTree {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 0x02B81710>]]]]])

train_b294c2069381303933ee1350dc284522(...)

  

train_b294c2069381303933ee1350dc284522( (CvBoostTree)inst, (CvDTreeTrainData)_train_data, (Mat)_subsample_idx) -> object :
    
    Wrapped function:
        train
    Argument '_subsample_idx':
        C/C++ type: ::CvMat const *.
        Python type: Mat.

    C++ signature :
        boost::python::api::object train_b294c2069381303933ee1350dc284522(CvBoostTree {lvalue},CvDTreeTrainData*,cv::Mat {lvalue})

train_e4be1213b90d12567ec59f1f7ca0b8ae(...)

  

train_e4be1213b90d12567ec59f1f7ca0b8ae( (CvBoostTree)inst, (CvDTreeTrainData)_train_data, (Mat)subsample_idx, (CvBoost)ensemble) -> object :
    
    Wrapped function:
        train
    Argument 'subsample_idx':
        C/C++ type: ::CvMat const *.
        Python type: Mat.

    C++ signature :
        boost::python::api::object train_e4be1213b90d12567ec59f1f7ca0b8ae(CvBoostTree {lvalue},CvDTreeTrainData*,cv::Mat {lvalue},CvBoost*)

write_d1e064f966d50e01902f80ef0f045741(...)

  

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})
Overrides: CvDTree.write_d1e064f966d50e01902f80ef0f045741

write_d5b05f94ebb65d268cbd4756fe0d6221(...)

  

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*)
Overrides: CvDTree.write_d5b05f94ebb65d268cbd4756fe0d6221

Property Details [hide private]

this

Get Method:
unreachable(...)

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