Preprocessor CRandomFourierGaussPreproc implements Random Fourier Features for the Gauss kernel a la Ali Rahimi and Ben Recht Nips2007 after preprocessing the features using them in a linear kernel approximates a gaussian kernel.
approximation quality depends on dimension of feature space, NOT on number of data.
effectively it requires two parameters for initialization: (A) the dimension of the input features stored in dim_input_space (B) the dimension of the output feature space
in order to make it work there are two ways: (1) if you have already previously computed random fourier features which you want to use together with newly computed ones, then you have to take the random coefficients from the previous computation and provide them via void set_randomcoefficients(...) for the new computation this case is important for example if you compute separately features on training and testing data in two feature objects
in this case you have to set 1a) void set_randomcoefficients(...)
(2) if you compute random fourier features from scratch in this case you have to set 2a) set_kernelwidth(...) 2b) void set_dim_feature_space(const int32_t dim); 2c) set_dim_input_space(const int32_t dim); 2d) init_randomcoefficients() or apply_to_feature_matrix(...)
在文件 RandomFourierGaussPreproc.h 第 48 行定义.
Public 成员函数 | |
CRandomFourierGaussPreproc () | |
CRandomFourierGaussPreproc (const CRandomFourierGaussPreproc &pr) | |
~CRandomFourierGaussPreproc () | |
virtual SGMatrix< float64_t > | apply_to_feature_matrix (CFeatures *features) |
virtual SGVector< float64_t > | apply_to_feature_vector (SGVector< float64_t > vector) |
virtual EFeatureType | get_feature_type () |
virtual EFeatureClass | get_feature_class () |
virtual bool | init (CFeatures *f) |
void | set_kernelwidth (const float64_t width) |
float64_t | get_kernelwidth () const |
void | get_randomcoefficients (float64_t **randomcoeff_additive2, float64_t **randomcoeff_multiplicative2, int32_t *dim_feature_space2, int32_t *dim_input_space2, float64_t *kernelwidth2) const |
void | set_randomcoefficients (float64_t *randomcoeff_additive2, float64_t *randomcoeff_multiplicative2, const int32_t dim_feature_space2, const int32_t dim_input_space2, const float64_t kernelwidth2) |
void | set_dim_input_space (const int32_t dim) |
void | set_dim_feature_space (const int32_t dim) |
bool | init_randomcoefficients () |
int32_t | get_dim_input_space () const |
int32_t | get_dim_feature_space () const |
void | cleanup () |
virtual const char * | get_name () const |
return the name of the preprocessor 更多... | |
virtual EPreprocessorType | get_type () const |
return a type of preprocessor 更多... | |
virtual CFeatures * | apply (CFeatures *features) |
virtual CSGObject * | shallow_copy () const |
virtual CSGObject * | deep_copy () const |
virtual bool | is_generic (EPrimitiveType *generic) const |
template<class T > | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
template<> | |
void | set_generic () |
void | unset_generic () |
virtual void | print_serializable (const char *prefix="") |
virtual bool | save_serializable (CSerializableFile *file, const char *prefix="") |
virtual bool | load_serializable (CSerializableFile *file, const char *prefix="") |
void | set_global_io (SGIO *io) |
SGIO * | get_global_io () |
void | set_global_parallel (Parallel *parallel) |
Parallel * | get_global_parallel () |
void | set_global_version (Version *version) |
Version * | get_global_version () |
SGStringList< char > | get_modelsel_names () |
void | print_modsel_params () |
char * | get_modsel_param_descr (const char *param_name) |
index_t | get_modsel_param_index (const char *param_name) |
void | build_gradient_parameter_dictionary (CMap< TParameter *, CSGObject * > *dict) |
virtual void | update_parameter_hash () |
virtual bool | parameter_hash_changed () |
virtual bool | equals (CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) |
virtual CSGObject * | clone () |
Public 属性 | |
SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
Parameter * | m_gradient_parameters |
uint32_t | m_hash |
Protected 成员函数 | |
void | copy (const CRandomFourierGaussPreproc &feats) |
bool | test_rfinited () const |
virtual void | load_serializable_pre () throw (ShogunException) |
virtual void | load_serializable_post () throw (ShogunException) |
virtual void | save_serializable_pre () throw (ShogunException) |
virtual void | save_serializable_post () throw (ShogunException) |
Protected 属性 | |
float64_t | kernelwidth |
float64_t | cur_kernelwidth |
int32_t | dim_input_space |
int32_t | cur_dim_input_space |
int32_t | dim_feature_space |
int32_t | cur_dim_feature_space |
float64_t * | randomcoeff_additive |
float64_t * | randomcoeff_multiplicative |
default constructor
在文件 RandomFourierGaussPreproc.cpp 第 65 行定义.
CRandomFourierGaussPreproc | ( | const CRandomFourierGaussPreproc & | pr | ) |
alternative constructor
在文件 RandomFourierGaussPreproc.cpp 第 100 行定义.
default destructor takes care for float64_t* randomcoeff_additive,float64_t* randomcoeff_multiplicative;
在文件 RandomFourierGaussPreproc.cpp 第 130 行定义.
generic interface for applying the preprocessor. used as a wrapper for apply_to_feature_matrix() method
features | the dense input features |
实现了 CPreprocessor.
default processing routine, inherited from base class
features | the features to be processed, must be of type CDenseFeatures<float64_t> |
实现了 CDensePreprocessor< float64_t >.
在文件 RandomFourierGaussPreproc.cpp 第 371 行定义.
alternative processing routine, inherited from base class
vector | the feature vector to be processed |
实现了 CDensePreprocessor< float64_t >.
在文件 RandomFourierGaussPreproc.cpp 第 353 行定义.
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inherited |
Builds a dictionary of all parameters in SGObject as well of those of SGObjects that are parameters of this object. Dictionary maps parameters to the objects that own them.
dict | dictionary of parameters to be built. |
在文件 SGObject.cpp 第 597 行定义.
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virtual |
inherited from base class does nothing
实现了 CPreprocessor.
在文件 RandomFourierGaussPreproc.cpp 第 414 行定义.
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virtualinherited |
Creates a clone of the current object. This is done via recursively traversing all parameters, which corresponds to a deep copy. Calling equals on the cloned object always returns true although none of the memory of both objects overlaps.
在文件 SGObject.cpp 第 714 行定义.
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protected |
helper for copy constructor and assignment operator=
在文件 RandomFourierGaussPreproc.cpp 第 20 行定义.
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virtualinherited |
A deep copy. All the instance variables will also be copied.
在文件 SGObject.cpp 第 198 行定义.
Recursively compares the current SGObject to another one. Compares all registered numerical parameters, recursion upon complex (SGObject) parameters. Does not compare pointers!
May be overwritten but please do with care! Should not be necessary in most cases.
other | object to compare with |
accuracy | accuracy to use for comparison (optional) |
tolerant | allows linient check on float equality (within accuracy) |
在文件 SGObject.cpp 第 618 行定义.
int32_t get_dim_feature_space | ( | ) | const |
a getter
在文件 RandomFourierGaussPreproc.cpp 第 145 行定义.
int32_t get_dim_input_space | ( | ) | const |
a getter
在文件 RandomFourierGaussPreproc.cpp 第 159 行定义.
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inherited from base class
重载 CDensePreprocessor< float64_t > .
在文件 RandomFourierGaussPreproc.cpp 第 137 行定义.
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inherited from base class
重载 CDensePreprocessor< float64_t > .
在文件 RandomFourierGaussPreproc.cpp 第 141 行定义.
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float64_t get_kernelwidth | ( | ) | const |
getter for kernel width
在文件 RandomFourierGaussPreproc.cpp 第 171 行定义.
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在文件 SGObject.cpp 第 498 行定义.
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Returns description of a given parameter string, if it exists. SG_ERROR otherwise
param_name | name of the parameter |
在文件 SGObject.cpp 第 522 行定义.
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Returns index of model selection parameter with provided index
param_name | name of model selection parameter |
在文件 SGObject.cpp 第 535 行定义.
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void get_randomcoefficients | ( | float64_t ** | randomcoeff_additive2, |
float64_t ** | randomcoeff_multiplicative2, | ||
int32_t * | dim_feature_space2, | ||
int32_t * | dim_input_space2, | ||
float64_t * | kernelwidth2 | ||
) | const |
getter for the random coefficients necessary for creating random fourier features compatible to the current ones returns values of internal members randomcoeff_additive and randomcoeff_multiplicative
在文件 RandomFourierGaussPreproc.cpp 第 259 行定义.
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return a type of preprocessor
重载 CDensePreprocessor< float64_t > .
在文件 RandomFourierGaussPreproc.h 第 171 行定义.
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initializer routine calls set_dim_input_space(const int32_t dim); with the proper value calls init_randomcoefficients(); this call does NOT override a previous call to void set_randomcoefficients(...) IF and ONLY IF the dimensions of input AND feature space are equal to the values from the previous call to void set_randomcoefficients(...)
f | the features to be processed, must be of type CDenseFeatures<float64_t> |
实现了 CPreprocessor.
在文件 RandomFourierGaussPreproc.cpp 第 321 行定义.
bool init_randomcoefficients | ( | ) |
computes new random coefficients IF test_rfinited() evaluates to false test_rfinited() evaluates to TRUE if void set_randomcoefficients(...) hase been called and the values set by set_dim_input_space(...) , set_dim_feature_space(...) and set_kernelwidth(...) are consistent to the call of void set_randomcoefficients(...)
throws shogun exception if dim_feature_space <= 0 or dim_input_space <= 0
this function is useful if you want to use apply_to_feature_vector but cannot call before it init(CFeatures *f)
在文件 RandomFourierGaussPreproc.cpp 第 201 行定义.
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virtualinherited |
If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.
generic | set to the type of the generic if returning TRUE |
在文件 SGObject.cpp 第 296 行定义.
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virtualinherited |
Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!
file | where to load from |
prefix | prefix for members |
在文件 SGObject.cpp 第 369 行定义.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_POST is called.
ShogunException | will be thrown if an error occurs. |
被 CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.
在文件 SGObject.cpp 第 426 行定义.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::LOAD_SERIALIZABLE_PRE is called.
ShogunException | will be thrown if an error occurs. |
被 CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.
在文件 SGObject.cpp 第 421 行定义.
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在文件 SGObject.cpp 第 262 行定义.
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prints all parameter registered for model selection and their type
在文件 SGObject.cpp 第 474 行定义.
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Save this object to file.
file | where to save the object; will be closed during returning if PREFIX is an empty string. |
prefix | prefix for members |
在文件 SGObject.cpp 第 314 行定义.
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protectedvirtualinherited |
Can (optionally) be overridden to post-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_POST is called.
ShogunException | will be thrown if an error occurs. |
被 CKernel 重载.
在文件 SGObject.cpp 第 436 行定义.
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protectedvirtualinherited |
Can (optionally) be overridden to pre-initialize some member variables which are not PARAMETER::ADD'ed. Make sure that at first the overridden method BASE_CLASS::SAVE_SERIALIZABLE_PRE is called.
ShogunException | will be thrown if an error occurs. |
被 CKernel, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.
在文件 SGObject.cpp 第 431 行定义.
void set_dim_feature_space | ( | const int32_t | dim | ) |
a setter
dim | the value of protected member dim_feature_space throws a shogun exception if dim<=0 |
在文件 RandomFourierGaussPreproc.cpp 第 149 行定义.
void set_dim_input_space | ( | const int32_t | dim | ) |
a setter
dim | the value of protected member dim_input_space throws a shogun exception if dim<=0 |
在文件 RandomFourierGaussPreproc.cpp 第 175 行定义.
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在文件 SGObject.cpp 第 41 行定义.
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在文件 SGObject.cpp 第 46 行定义.
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在文件 SGObject.cpp 第 51 行定义.
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在文件 SGObject.cpp 第 56 行定义.
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在文件 SGObject.cpp 第 61 行定义.
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在文件 SGObject.cpp 第 66 行定义.
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在文件 SGObject.cpp 第 71 行定义.
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在文件 SGObject.cpp 第 76 行定义.
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在文件 SGObject.cpp 第 81 行定义.
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在文件 SGObject.cpp 第 86 行定义.
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在文件 SGObject.cpp 第 91 行定义.
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在文件 SGObject.cpp 第 96 行定义.
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在文件 SGObject.cpp 第 101 行定义.
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在文件 SGObject.cpp 第 106 行定义.
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在文件 SGObject.cpp 第 111 行定义.
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set generic type to T
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void set_kernelwidth | ( | const float64_t | width | ) |
void set_randomcoefficients | ( | float64_t * | randomcoeff_additive2, |
float64_t * | randomcoeff_multiplicative2, | ||
const int32_t | dim_feature_space2, | ||
const int32_t | dim_input_space2, | ||
const float64_t | kernelwidth2 | ||
) |
setter for the random coefficients necessary for creating random fourier features compatible to the previous ones sets values of internal members randomcoeff_additive and randomcoeff_multiplicative simply use as input what you got from get_random_coefficients(...)
在文件 RandomFourierGaussPreproc.cpp 第 291 行定义.
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virtualinherited |
A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.
被 CGaussianKernel 重载.
在文件 SGObject.cpp 第 192 行定义.
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tests whether rf features have already been initialized
在文件 RandomFourierGaussPreproc.cpp 第 185 行定义.
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inherited |
unset generic type
this has to be called in classes specializing a template class
在文件 SGObject.cpp 第 303 行定义.
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virtualinherited |
Updates the hash of current parameter combination
在文件 SGObject.cpp 第 248 行定义.
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actual dimension of output features as set by bool init_randomcoefficients() or void set_randomcoefficients
在文件 RandomFourierGaussPreproc.h 第 210 行定义.
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actual dimension of input features as set by bool init_randomcoefficients() or void set_randomcoefficients
在文件 RandomFourierGaussPreproc.h 第 199 行定义.
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dimension of input features width of gaussian kernel in the form of exp(-x^2 / (2.0 kernelwidth^2) ) NOTE the 2.0 and the power ^2 !
在文件 RandomFourierGaussPreproc.h 第 189 行定义.
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desired dimension of output features as set by void set_dim_feature_space(const int32_t dim)
在文件 RandomFourierGaussPreproc.h 第 205 行定义.
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desired dimension of input features as set by void set_dim_input_space(const int32_t dim)
在文件 RandomFourierGaussPreproc.h 第 194 行定义.
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io
在文件 SGObject.h 第 369 行定义.
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dimension of input features width of gaussian kernel in the form of exp(-x^2 / (2.0 kernelwidth^2) ) NOTE the 2.0 and the power ^2 !
在文件 RandomFourierGaussPreproc.h 第 184 行定义.
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parameters wrt which we can compute gradients
在文件 SGObject.h 第 384 行定义.
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Hash of parameter values
在文件 SGObject.h 第 387 行定义.
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model selection parameters
在文件 SGObject.h 第 381 行定义.
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parameters
在文件 SGObject.h 第 378 行定义.
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parallel
在文件 SGObject.h 第 372 行定义.
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random coefficient length = cur_dim_feature_space
在文件 RandomFourierGaussPreproc.h 第 221 行定义.
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random coefficient length = cur_dim_feature_space* cur_dim_input_space
在文件 RandomFourierGaussPreproc.h 第 227 行定义.
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version
在文件 SGObject.h 第 375 行定义.