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CDotFeatures类 参考abstract

详细描述

Features that support dot products among other operations.

DotFeatures support the following operations:

在文件 DotFeatures.h 第 44 行定义.

类 CDotFeatures 继承关系图:
Inheritance graph
[图例]

Public 成员函数

 CDotFeatures (int32_t size=0)
 
 CDotFeatures (const CDotFeatures &orig)
 
 CDotFeatures (CFile *loader)
 
virtual ~CDotFeatures ()
 
virtual int32_t get_dim_feature_space () const =0
 
virtual float64_t dot (int32_t vec_idx1, CDotFeatures *df, int32_t vec_idx2)=0
 
virtual float64_t dense_dot_sgvec (int32_t vec_idx1, const SGVector< float64_t > vec2)
 
virtual float64_t dense_dot (int32_t vec_idx1, const float64_t *vec2, int32_t vec2_len)=0
 
virtual void add_to_dense_vec (float64_t alpha, int32_t vec_idx1, float64_t *vec2, int32_t vec2_len, bool abs_val=false)=0
 
virtual void dense_dot_range (float64_t *output, int32_t start, int32_t stop, float64_t *alphas, float64_t *vec, int32_t dim, float64_t b)
 
virtual void dense_dot_range_subset (int32_t *sub_index, int32_t num, float64_t *output, float64_t *alphas, float64_t *vec, int32_t dim, float64_t b)
 
virtual int32_t get_nnz_features_for_vector (int32_t num)=0
 
float64_t get_combined_feature_weight ()
 
void set_combined_feature_weight (float64_t nw)
 
SGMatrix< float64_t > get_computed_dot_feature_matrix ()
 
SGVector< float64_t > get_computed_dot_feature_vector (int32_t num)
 
void benchmark_add_to_dense_vector (int32_t repeats=5)
 
void benchmark_dense_dot_range (int32_t repeats=5)
 
virtual void * get_feature_iterator (int32_t vector_index)=0
 
virtual bool get_next_feature (int32_t &index, float64_t &value, void *iterator)=0
 
virtual void free_feature_iterator (void *iterator)=0
 
virtual SGVector< float64_t > get_mean ()
 
virtual SGMatrix< float64_t > get_cov ()
 
virtual CFeatures * duplicate () const =0
 
virtual EFeatureType get_feature_type () const =0
 
virtual EFeatureClass get_feature_class () const =0
 
virtual void add_preprocessor (CPreprocessor *p)
 
virtual void del_preprocessor (int32_t num)
 
CPreprocessor * get_preprocessor (int32_t num) const
 
void set_preprocessed (int32_t num)
 
bool is_preprocessed (int32_t num) const
 
int32_t get_num_preprocessed () const
 
int32_t get_num_preprocessors () const
 
void clean_preprocessors ()
 
void list_preprocessors ()
 
int32_t get_cache_size () const
 
virtual int32_t get_num_vectors () const =0
 
virtual bool reshape (int32_t num_features, int32_t num_vectors)
 
void list_feature_obj () const
 
virtual void load (CFile *loader)
 
virtual void save (CFile *writer)
 
bool check_feature_compatibility (CFeatures *f) const
 
bool has_property (EFeatureProperty p) const
 
void set_property (EFeatureProperty p)
 
void unset_property (EFeatureProperty p)
 
virtual CFeatures * create_merged_copy (CList *others)
 
virtual CFeatures * create_merged_copy (CFeatures *other)
 
virtual void add_subset (SGVector< index_t > subset)
 
virtual void add_subset_in_place (SGVector< index_t > subset)
 
virtual void remove_subset ()
 
virtual void remove_all_subsets ()
 
virtual CSubsetStack * get_subset_stack ()
 
virtual void subset_changed_post ()
 
virtual CFeatures * copy_subset (SGVector< index_t > indices)
 
virtual CFeatures * copy_dimension_subset (SGVector< index_t > dims)
 
virtual bool support_compatible_class () const
 
virtual bool get_feature_class_compatibility (EFeatureClass rhs) const
 
virtual CSGObject * shallow_copy () const
 
virtual CSGObject * deep_copy () const
 
virtual const char * get_name () const =0
 
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 ()
 

静态 Public 成员函数

static void * dense_dot_range_helper (void *p)
 
static SGVector< float64_t > get_mean (CDotFeatures *lhs, CDotFeatures *rhs)
 
static SGMatrix< float64_t > compute_cov (CDotFeatures *lhs, CDotFeatures *rhs)
 

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 display_progress (int32_t start, int32_t stop, int32_t v)
 
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 combined_weight
 feature weighting in combined dot features 更多...
 
CSubsetStack * m_subset_stack
 

构造及析构函数说明

CDotFeatures ( int32_t  size = 0)

constructor

参数
sizecache size

在文件 DotFeatures.cpp 第 42 行定义.

CDotFeatures ( const CDotFeatures &  orig)

copy constructor

在文件 DotFeatures.cpp 第 49 行定义.

CDotFeatures ( CFile *  loader)

constructor

参数
loaderFile object via which to load data

在文件 DotFeatures.cpp 第 56 行定义.

virtual ~CDotFeatures ( )
virtual

在文件 DotFeatures.h 第 63 行定义.

成员函数说明

void add_preprocessor ( CPreprocessor *  p)
virtualinherited

add preprocessor

参数
ppreprocessor to set

在文件 Features.cpp 第 85 行定义.

void add_subset ( SGVector< index_t >  subset)
virtualinherited

Adds a subset of indices on top of the current subsets (possibly subset of subset). Every call causes a new active index vector to be stored. Added subsets can be removed one-by-one. If this is not needed, add_subset_in_place() should be used (does not store intermediate index vectors)

Calls subset_changed_post() afterwards

参数
subsetsubset of indices to add

被 CCombinedFeatures 重载.

在文件 Features.cpp 第 310 行定义.

void add_subset_in_place ( SGVector< index_t >  subset)
virtualinherited

Sets/changes latest added subset. This allows to add multiple subsets with in-place memory requirements. They cannot be removed one-by-one afterwards, only the latest active can. If this is needed, use add_subset(). If no subset is active, this just adds.

Calls subset_changed_post() afterwards

参数
subsetsubset of indices to replace the latest one with.

在文件 Features.cpp 第 316 行定义.

virtual void add_to_dense_vec ( float64_t  alpha,
int32_t  vec_idx1,
float64_t *  vec2,
int32_t  vec2_len,
bool  abs_val = false 
)
pure virtual
void benchmark_add_to_dense_vector ( int32_t  repeats = 5)

run benchmark for add_to_dense_vec

在文件 DotFeatures.cpp 第 318 行定义.

void benchmark_dense_dot_range ( int32_t  repeats = 5)

run benchmark for dense_dot_range

在文件 DotFeatures.cpp 第 341 行定义.

void build_gradient_parameter_dictionary ( CMap< TParameter *, CSGObject * > *  dict)
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.

参数
dictdictionary of parameters to be built.

在文件 SGObject.cpp 第 597 行定义.

bool check_feature_compatibility ( CFeatures *  f) const
inherited

check feature compatibility

参数
ffeatures to check for compatibility
返回
if features are compatible

在文件 Features.cpp 第 283 行定义.

void clean_preprocessors ( )
inherited

clears all preprocs

在文件 Features.cpp 第 116 行定义.

CSGObject * clone ( )
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.

返回
an identical copy of the given object, which is disjoint in memory. NULL if the clone fails. Note that the returned object is SG_REF'ed

在文件 SGObject.cpp 第 714 行定义.

SGMatrix< float64_t > compute_cov ( CDotFeatures *  lhs,
CDotFeatures *  rhs 
)
static

compute the covariance of two CDotFeatures together

返回
covariance

在文件 DotFeatures.cpp 第 469 行定义.

CFeatures * copy_dimension_subset ( SGVector< index_t >  dims)
virtualinherited

Creates a new CFeatures instance containing only the dimensions of the feature vector which are specified by the provided indices.

This method is needed for feature selection tasks NOT IMPLEMENTED!

参数
dimsindices of feature dimensions to copy
返回
new CFeatures instance with copies of specified features

被 CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T > , 以及 CDenseFeatures< uint16_t > 重载.

在文件 Features.cpp 第 348 行定义.

CFeatures * copy_subset ( SGVector< index_t >  indices)
virtualinherited

Creates a new CFeatures instance containing copies of the elements which are specified by the provided indices.

This method is needed for a KernelMachine to store its model data. NOT IMPLEMENTED!

参数
indicesindices of feature elements to copy
返回
new CFeatures instance with copies of feature data

被 CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t > , 以及 CCombinedFeatures 重载.

在文件 Features.cpp 第 340 行定义.

virtual CFeatures* create_merged_copy ( CList *  others)
virtualinherited

Takes a list of feature instances and returns a new instance being a concatenation of a copy of this instace's data and the given instancess data. Note that the feature types have to be equal.

NOT IMPLEMENTED!

参数
otherslist of feature objects to append
返回
new feature object which contains copy of data of this instance and given ones

被 CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T > , 以及 CDenseFeatures< uint16_t > 重载.

在文件 Features.h 第 235 行定义.

virtual CFeatures* create_merged_copy ( CFeatures *  other)
virtualinherited

Convenience method for method with same name and list as parameter.

NOT IMPLEMENTED!

参数
otherfeature object to append
返回
new feature object which contains copy of data of this instance and of given one

被 CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t > , 以及 CCombinedFeatures 重载.

在文件 Features.h 第 249 行定义.

CSGObject * deep_copy ( ) const
virtualinherited

A deep copy. All the instance variables will also be copied.

在文件 SGObject.cpp 第 198 行定义.

void del_preprocessor ( int32_t  num)
virtualinherited

delete preprocessor from list

参数
numindex of preprocessor in list

在文件 Features.cpp 第 122 行定义.

virtual float64_t dense_dot ( int32_t  vec_idx1,
const float64_t *  vec2,
int32_t  vec2_len 
)
pure virtual
void dense_dot_range ( float64_t *  output,
int32_t  start,
int32_t  stop,
float64_t *  alphas,
float64_t *  vec,
int32_t  dim,
float64_t  b 
)
virtual

Compute the dot product for a range of vectors. This function makes use of dense_dot alphas[i] * sparse[i]^T * w + b

参数
outputresult for the given vector range
startstart vector range from this idx
stopstop vector range at this idx
alphasscalars to multiply with, may be NULL
vecdense vector to compute dot product with
dimlength of the dense vector
bbias

note that the result will be written to output[0...(stop-start-1)]

被 CCombinedDotFeatures , 以及 CHashedWDFeaturesTransposed 重载.

在文件 DotFeatures.cpp 第 67 行定义.

void * dense_dot_range_helper ( void *  p)
static

Compute the dot product for a range of vectors. This function is called by the threads created in dense_dot_range

在文件 DotFeatures.cpp 第 231 行定义.

void dense_dot_range_subset ( int32_t *  sub_index,
int32_t  num,
float64_t *  output,
float64_t *  alphas,
float64_t *  vec,
int32_t  dim,
float64_t  b 
)
virtual

Compute the dot product for a subset of vectors. This function makes use of dense_dot alphas[i] * sparse[i]^T * w + b

参数
sub_indexindex for which to compute outputs
numlength of index
outputresult for the given vector range
alphasscalars to multiply with, may be NULL
vecdense vector to compute dot product with
dimlength of the dense vector
bbias

被 CCombinedDotFeatures , 以及 CHashedWDFeaturesTransposed 重载.

在文件 DotFeatures.cpp 第 153 行定义.

float64_t dense_dot_sgvec ( int32_t  vec_idx1,
const SGVector< float64_t >  vec2 
)
virtual

compute dot product between vector1 and a dense vector

参数
vec_idx1index of first vector
vec2dense vector

被 CHashedDocDotFeatures 重载.

在文件 DotFeatures.cpp 第 62 行定义.

void display_progress ( int32_t  start,
int32_t  stop,
int32_t  v 
)
protected

display progress output

参数
startminimum value
stopmaximum value
vcurrent value

在文件 DotFeatures.cpp 第 528 行定义.

virtual float64_t dot ( int32_t  vec_idx1,
CDotFeatures *  df,
int32_t  vec_idx2 
)
pure virtual
virtual CFeatures* duplicate ( ) const
pure virtualinherited
bool equals ( CSGObject *  other,
float64_t  accuracy = 0.0,
bool  tolerant = false 
)
virtualinherited

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.

参数
otherobject to compare with
accuracyaccuracy to use for comparison (optional)
tolerantallows linient check on float equality (within accuracy)
返回
true if all parameters were equal, false if not

在文件 SGObject.cpp 第 618 行定义.

virtual void free_feature_iterator ( void *  iterator)
pure virtual
int32_t get_cache_size ( ) const
inherited

get cache size

返回
cache size

在文件 Features.cpp 第 160 行定义.

float64_t get_combined_feature_weight ( )

get combined feature weight

返回
combined feature weight

在文件 DotFeatures.h 第 154 行定义.

SGMatrix< float64_t > get_computed_dot_feature_matrix ( )

compute the feature matrix in feature space

返回
computed feature matrix

在文件 DotFeatures.cpp 第 284 行定义.

SGVector< float64_t > get_computed_dot_feature_vector ( int32_t  num)

compute the feature vector in feature space

返回
computed feature vector

在文件 DotFeatures.cpp 第 305 行定义.

SGMatrix< float64_t > get_cov ( )
virtual

get covariance

返回
covariance

在文件 DotFeatures.cpp 第 427 行定义.

virtual int32_t get_dim_feature_space ( ) const
pure virtual
virtual EFeatureClass get_feature_class ( ) const
pure virtualinherited
bool get_feature_class_compatibility ( EFeatureClass  rhs) const
virtualinherited

Given a class in right hand side, does this class support compatible computation?

for example, is this->dot(rhs_prt) valid, where rhs_prt is the class in right hand side

参数
rhsthe class in right hand side
返回
whether this class supports compatible computation

被 CDenseSubSamplesFeatures< ST > 重载.

在文件 Features.cpp 第 355 行定义.

virtual void* get_feature_iterator ( int32_t  vector_index)
pure virtual
virtual EFeatureType get_feature_type ( ) const
pure virtualinherited

get feature type

abstract base method

返回
templated feature type

在 CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CStringFeatures< ST >, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CStreamingVwFeatures, CStreamingSparseFeatures< T >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CBinnedDotFeatures, CStreamingStringFeatures< T >, CHashedDenseFeatures< ST >, CRandomKitchenSinksDotFeatures, CHashedSparseFeatures< ST >, CHashedDocDotFeatures, CStreamingHashedDocDotFeatures, CWDFeatures, CHashedWDFeatures, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CExplicitSpecFeatures, CCombinedDotFeatures, CHashedWDFeaturesTransposed, CSNPFeatures, CAttributeFeatures, CImplicitWeightedSpecFeatures, CIndexFeatures, CDenseSubSamplesFeatures< ST >, CMatrixFeatures< ST >, CDenseSubsetFeatures< ST >, CLBPPyrDotFeatures, CSparsePolyFeatures, CPolyFeatures, CCombinedFeatures, CDummyFeatures, CLatentFeatures , 以及 CFactorGraphFeatures 内被实现.

SGIO * get_global_io ( )
inherited

get the io object

返回
io object

在文件 SGObject.cpp 第 235 行定义.

Parallel * get_global_parallel ( )
inherited

get the parallel object

返回
parallel object

在文件 SGObject.cpp 第 277 行定义.

Version * get_global_version ( )
inherited

get the version object

返回
version object

在文件 SGObject.cpp 第 290 行定义.

SGVector< float64_t > get_mean ( )
virtual

get mean

返回
mean returned

在文件 DotFeatures.cpp 第 384 行定义.

SGVector< float64_t > get_mean ( CDotFeatures *  lhs,
CDotFeatures *  rhs 
)
static

get mean of two CDotFeature objects

返回
mean returned

在文件 DotFeatures.cpp 第 402 行定义.

SGStringList< char > get_modelsel_names ( )
inherited
返回
vector of names of all parameters which are registered for model selection

在文件 SGObject.cpp 第 498 行定义.

char * get_modsel_param_descr ( const char *  param_name)
inherited

Returns description of a given parameter string, if it exists. SG_ERROR otherwise

参数
param_namename of the parameter
返回
description of the parameter

在文件 SGObject.cpp 第 522 行定义.

index_t get_modsel_param_index ( const char *  param_name)
inherited

Returns index of model selection parameter with provided index

参数
param_namename of model selection parameter
返回
index of model selection parameter with provided name, -1 if there is no such

在文件 SGObject.cpp 第 535 行定义.

virtual const char* get_name ( ) const
pure virtualinherited

Returns the name of the SGSerializable instance. It MUST BE the CLASS NAME without the prefixed `C'.

返回
name of the SGSerializable

在 CMath, CHMM, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, CSVMLight, CTrie< Trie >, CTrie< DNATrie >, CTrie< POIMTrie >, CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool >, CMultitaskKernelTreeNormalizer, CList, CDynProg, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CStatistics, CFile, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CSpecificityMeasure, CPrecisionMeasure, CPlif, CRecallMeasure, CDynamicObjectArray, CCrossCorrelationMeasure, CCSVFile, CF1Measure, CBinaryFile, CProtobufFile, CLaRank, CWRACCMeasure, CRBM, CTaxonomy, CBALMeasure, CBitString, CStreamingVwFeatures, CLibSVMFile, CStreamingSparseFeatures< T >, CErrorRateMeasure, CNeuralLayer, CMultitaskKernelPlifNormalizer, CWDSVMOcas, CMachine, CAccuracyMeasure, CStreamingFile, CQuadraticTimeMMD, CRandom, CStreamingMMD, CMemoryMappedFile< T >, CMultitaskKernelMaskNormalizer, CMemoryMappedFile< ST >, CAlphabet, CMKL, CLMNNStatistics, CStructuredModel, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CCombinedDotFeatures, CFeatureSelection< ST >, CFeatureSelection< float64_t >, CGUIStructure, CCache< T >, CCache< uint32_t >, CCache< ST >, CCache< float64_t >, CCache< uint8_t >, CCache< KERNELCACHE_ELEM >, CCache< char >, CCache< uint16_t >, CCache< shogun::SGSparseVectorEntry< T > >, CCache< shogun::SGSparseVectorEntry< float64_t > >, CCache< shogun::SGSparseVectorEntry< ST > >, CMultitaskKernelMaskPairNormalizer, CSVM, CNeuralNetwork, CMultitaskKernelNormalizer, CGUIClassifier, CGaussian, CGUIFeatures, CGMM, CHashedWDFeaturesTransposed, CBinaryStream< T >, CLinearHMM, CSimpleFile< T >, CDeepBeliefNetwork, CStreamingStringFeatures< T >, CParameterCombination, CNeuralLinearLayer, CStateModel, CMulticlassSVM, CNeuralConvolutionalLayer, CRandomKitchenSinksDotFeatures, COnlineLinearMachine, CVwParser, CPluginEstimate, CVowpalWabbit, CBinnedDotFeatures, CSVMOcas, CSVRLight, CPlifMatrix, CHashedWDFeatures, CCrossValidation, CImplicitWeightedSpecFeatures, CCombinedFeatures, CSparseMatrixOperator< T >, CSNPFeatures, CWDFeatures, CKMeans, CCrossValidationMulticlassStorage, CHashedDenseFeatures< ST >, CIOBuffer, CUAIFile, CTwoStateModel, CLossFunction, CPCA, CHMSVMModel, CDeepAutoencoder, CLeastAngleRegression, CGUIKernel, CKNN, CHashedSparseFeatures< ST >, CRandomFourierGaussPreproc, CMKLMulticlass, CAutoencoder, CHypothesisTest, CExplicitSpecFeatures, CLibLinearMTL, CModelSelectionParameters, CNOCCO, CPositionalPWM, CHashedDocDotFeatures, CGUIHMM, COnlineSVMSGD, CIntegration, CLibLinear, CJacobiEllipticFunctions, CLDA, CZeroMeanCenterKernelNormalizer, CSparsePolyFeatures, CHashedMultilabelModel, CSqrtDiagKernelNormalizer, CHuberLoss, CCplex, CScatterKernelNormalizer, CFisherLDA, CHSIC, CStochasticProximityEmbedding, CLatentModel, CRationalApproximation, CTableFactorType, CSVMSGD, CMulticlassMachine, CDixonQTestRejectionStrategy, CGMNPLib, CVwCacheReader, CLBPPyrDotFeatures, CRidgeKernelNormalizer, CDependenceMaximization, CLinearMachine, CMulticlassSOLabels, CGraphCut, CSerializableAsciiFile, CSGDQN, CSNPStringKernel, CTime, CMatrixFeatures< ST >, CWeightedCommWordStringKernel, CHingeLoss, CNeuralLayers, CTwoSampleTest, CSquaredLoss, CAbsoluteDeviationLoss, CExponentialLoss, CCustomKernel, CMulticlassLabels, CHash, CFactor, CPlifArray, CLinearTimeMMD, CQPBSVMLib, CStreamingHashedDocDotFeatures, CStreamingVwFile, CKernelIndependenceTest, CCustomDistance, CWeightedDegreeStringKernel, CKernelRidgeRegression, CBaggingMachine, CQDA, CNeuralLogisticLayer, CNeuralRectifiedLinearLayer, CTOPFeatures, CDiceKernelNormalizer, CHierarchicalMultilabelModel, CMultitaskKernelMklNormalizer, CTask, CGaussianProcessClassification, CVwEnvironment, CBinaryLabels, CMultilabelModel, CMultilabelSOLabels, CDomainAdaptationSVMLinear, CDotKernel, CCHAIDTree, CKernelTwoSampleTest, CMAPInferImpl, CWeightedDegreePositionStringKernel, CGaussianDistribution, CTanimotoKernelNormalizer, CCircularBuffer, CMCLDA, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CBesselKernel, CAvgDiagKernelNormalizer, CVarianceKernelNormalizer, CMulticlassModel, COnlineLibLinear, CIndexFeatures, CCARTree, CStreamingAsciiFile, CIndependenceTest, CHierarchical, CFKFeatures, CCombinedKernel, CSparseSpatialSampleStringKernel, CSpectrumMismatchRBFKernel, COperatorFunction< T >, CMultilabelCLRModel, COperatorFunction< float64_t >, CVwRegressor, CHashedDocConverter, CFactorGraphLabels, CKLInferenceMethod, CGaussianKernel, CCommWordStringKernel, CSubsequenceStringKernel, CSet< T >, CSparseInferenceBase, CDataGenerator, CNeuralInputLayer, CSequenceLabels, CPolyFeatures, CNode, CContingencyTableEvaluation, CChi2Kernel, CPyramidChi2, CSignal, CDenseMatrixOperator< T >, CLibSVR, CDenseMatrixOperator< float64_t >, CPeriodicKernel, CSalzbergWordStringKernel, CStructuredLabels, CSquaredHingeLoss, CNewtonSVM, CKLApproxDiagonalInferenceMethod, CLPBoost, CVwLearner, CIndexBlockTree, CExactInferenceMethod, CKLCholeskyInferenceMethod, CKLCovarianceInferenceMethod, CCommUlongStringKernel, CCompressor, CSingleFITCLaplacianBase, CIterativeLinearSolver< T, ST >, CIterativeLinearSolver< float64_t, float64_t >, CIterativeLinearSolver< complex128_t, float64_t >, CIterativeLinearSolver< T, T >, CSVMLin, CHistogram, CGaussianShiftKernel, CGCArray< T >, CMultiLaplacianInferenceMethod, CNeuralSoftmaxLayer, CHomogeneousKernelMap, CLocallyLinearEmbedding, CMahalanobisDistance, CAttributeFeatures, CRandomFourierDotFeatures, CFirstElementKernelNormalizer, CMap< K, T >, CLogLoss, CLogLossMargin, CSmoothHingeLoss, CSoftMaxLikelihood, CMap< shogun::TParameter *, shogun::SGVector< float64_t > >, CMap< shogun::TParameter *, shogun::CSGObject * >, CMap< std::string, int32_t >, CMap< std::string, shogun::SGVector< float64_t > >, CMap< std::string, T >, CMap< std::string, float64_t >, CVwNativeCacheReader, CDistanceKernel, CLatentLabels, CKLLowerTriangularInferenceMethod, CScatterSVM, CSpectrumRBFKernel, CMultilabelLabels, CSingleLaplacianInferenceMethodWithLBFGS, CMMDKernelSelection, CSegmentLoss, CKernelDistance, CLogDetEstimator, CLinearRidgeRegression, CGNPPLib, CStreamingFileFromFeatures, CPolyMatchStringKernel, CNeuralLeakyRectifiedLinearLayer, CDomainAdaptationSVM, COligoStringKernel, CSimpleLocalityImprovedStringKernel, CKLDualInferenceMethod, CKernelSelection, CStreamingVwCacheFile, CCircularKernel, CConstKernel, CDiagKernel, CExponentialARDKernel, CSphericalKernel, CLogitDVGLikelihood, CSingleFITCLaplacianInferenceMethod, CSingleFITCLaplacianInferenceMethodWithLBFGS, CEigenSolver, CC45ClassifierTree, CLPM, CEmbeddingConverter, CEuclideanDistance, CWeightedMajorityVote, CMulticlassOVREvaluation, CPolyKernel, CPolyMatchWordStringKernel, CID3ClassifierTree, CMultitaskClusteredLogisticRegression, CMultidimensionalScaling, CANOVAKernel, CProductKernel, CSparseKernel< ST >, CGaussianMatchStringKernel, CRandomForest, CLanczosEigenSolver, CKernelPCA, CNearestCentroid, CStreamingFileFromDenseFeatures< T >, CStreamingFileFromSparseFeatures< T >, CStreamingFileFromStringFeatures< T >, CFixedDegreeStringKernel, CStringKernel< ST >, CTensorProductPairKernel, CGaussianNaiveBayes, CStringKernel< uint16_t >, CStringKernel< char >, CStringKernel< uint64_t >, CKernelDensity, CParser, CTStudentKernel, CWaveletKernel, CTraceSampler, CMulticlassOneVsRestStrategy, CGaussianProcessRegression, CGEMPLP, CDiffusionMaps, CMinkowskiMetric, CExponentialKernel, CEPInferenceMethod, CLaplacianEigenmaps, CAttenuatedEuclideanDistance, CCauchyKernel, CLogKernel, CPowerKernel, CRationalQuadraticKernel, CWaveKernel, CLaplacianInferenceBase, CDistantSegmentsKernel, CLocalityImprovedStringKernel, CMatchWordStringKernel, CRegulatoryModulesStringKernel, CKernelMachine, CBAHSIC, MKLMulticlassGradient, CAUCKernel, CHistogramIntersectionKernel, CSigmoidKernel, CDistanceMachine, CGaussianProcessMachine, CFITCInferenceMethod, CSparseVGInferenceMethod, CStructuredOutputMachine, CKernelDependenceMaximization, CGaussianARDKernel, CInverseMultiQuadricKernel, CFFDiag, CJADiag, CJADiagOrth, CLabelsFactory, CStudentsTLikelihood, CJediDiag, CQDiag, CUWedge, CTreeMachineNode< T >, CLibLinearRegression, CMMDKernelSelectionCombOpt, CTreeMachineNode< ConditionalProbabilityTreeNodeData >, CTreeMachineNode< RelaxedTreeNodeData >, CTreeMachineNode< id3TreeNodeData >, CTreeMachineNode< VwConditionalProbabilityTreeNodeData >, CTreeMachineNode< CARTreeNodeData >, CTreeMachineNode< C45TreeNodeData >, CTreeMachineNode< CHAIDTreeNodeData >, CTreeMachineNode< NbodyTreeNodeData >, CMulticlassAccuracy, CGaussianShortRealKernel, CMultiquadricKernel, CLocalAlignmentStringKernel, CICAConverter, CSplineKernel, CDelimiterTokenizer, CDualVariationalGaussianLikelihood, CLogitVGPiecewiseBoundLikelihood, CDimensionReductionPreprocessor, CPerceptron, CHistogramWordStringKernel, CLogRationalApproximationIndividual, CMultitaskL12LogisticRegression, CTaskTree, CProbabilityDistribution, CConstMean, CGaussianLikelihood, CSingleSparseInferenceBase, CStochasticGBMachine, CMatrixOperator< T >, CTreeMachine< T >, CMultitaskROCEvaluation, CTreeMachine< ConditionalProbabilityTreeNodeData >, CTreeMachine< RelaxedTreeNodeData >, CTreeMachine< id3TreeNodeData >, CTreeMachine< VwConditionalProbabilityTreeNodeData >, CTreeMachine< CARTreeNodeData >, CTreeMachine< C45TreeNodeData >, CTreeMachine< CHAIDTreeNodeData >, CTreeMachine< NbodyTreeNodeData >, CCanberraMetric, CCosineDistance, CManhattanMetric, CJensenShannonKernel, CLinearKernel, CNumericalVGLikelihood, CCGMShiftedFamilySolver, CIterativeShiftedLinearFamilySolver< T, ST >, CLogRationalApproximationCGM, CMMDKernelSelectionCombMaxL2, CDualLibQPBMSOSVM, CIterativeShiftedLinearFamilySolver< float64_t, complex128_t >, CGeodesicMetric, CJensenMetric, CTanimotoDistance, CLineReader, CIdentityKernelNormalizer, CLinearStringKernel, CLinearStructuredOutputMachine, CDecompressString< ST >, CGUIConverter, CIsomap, CNGramTokenizer, CStudentsTVGLikelihood, CMMDKernelSelectionMedian, CChiSquareDistance, CHammingWordDistance, CLogitVGLikelihood, CProbitVGLikelihood, CRandomSearchModelSelection, CGUILabels, MKLMulticlassGLPK, CSOBI, CKernelLocallyLinearEmbedding, CSparseDistance< ST >, CCrossValidationResult, CLatentFeatures, CBinaryTreeMachineNode< T >, CMMDKernelSelectionOpt, CSparseDistance< float64_t >, CAveragedPerceptron, CFFSep, CBrayCurtisDistance, CChebyshewMetric, CFactorGraphFeatures, CRegressionLabels, CNbodyTree, CMinimizerContext, CSparsePreprocessor< ST >, CLeastSquaresRegression, MKLMulticlassOptimizationBase, CVwNativeCacheWriter, CJediSep, CUWedgeSep, CSparseEuclideanDistance, CRealFileFeatures, CJobResultAggregator, CGaussianARDSparseKernel, CSingleLaplacianInferenceMethod, CMulticlassOneVsOneStrategy, CGUIPluginEstimate, CVwAdaptiveLearner, CStringDistance< ST >, CLinearLatentMachine, CDenseMatrixExactLog, CPNorm, CRescaleFeatures, CSparseMultilabel, CStringDistance< uint16_t >, CVwNonAdaptiveLearner, CStructuredAccuracy, CWeightedDegreeRBFKernel, CProbitLikelihood, CECOCRandomSparseEncoder, CMulticlassStrategy, CGradientCriterion, CLatentSVM, CIndependentJob, CGMNPSVM, CLogPlusOne, CMAPInference, CMixtureModel, CFactorGraphObservation, CLogitLikelihood, CNormOne, CLibSVM, CFactorAnalysis, CDenseSubSamplesFeatures< ST >, CStringFileFeatures< ST >, CScalarResult< T >, CDirectLinearSolverComplex, CIndividualJobResultAggregator, CBallTree, CKDTree, CStringPreprocessor< ST >, CMultitaskTraceLogisticRegression, CStringPreprocessor< uint16_t >, CStringPreprocessor< uint64_t >, CFastICA, CCanberraWordDistance, CManhattanWordDistance, CCrossValidationOutput, CLinearMulticlassMachine, CRationalApproximationCGMJob, CECOCDiscriminantEncoder, CRandomCARTree, CSumOne, CResultSet, CTaskGroup, CGUIDistance, CRationalApproximationIndividualJob, CSortWordString, CCCSOSVM, CIntronList, CRealNumber, CJade, CStoreVectorAggregator< T >, CIndexBlock, CIndexBlockGroup, CZeroMean, CConjugateOrthogonalCGSolver, CGradientModelSelection, CPruneVarSubMean, CSequence, CMultitaskLogisticRegression, CGUIPreprocessor, CStoreVectorAggregator< complex128_t >, CMeanSquaredError, CMeanSquaredLogError, CLatentSOSVM, CSortUlongString, CFeatureBlockLogisticRegression, CMeanAbsoluteError, CDummyFeatures, CListElement, CDenseExactLogJob, CMulticlassLibLinear, CDenseDistance< ST >, CRealDistance, CStringMap< T >, CLMNN, CMMDKernelSelectionMax, CDenseDistance< float64_t >, CStringMap< float64_t >, CStringMap< shogun::SGVector< float64_t > >, CStringMap< int32_t >, CSVMLightOneClass, CLinearLocalTangentSpaceAlignment, CNeighborhoodPreservingEmbedding, CEMBase< T >, CEMMixtureModel, CIndependentComputationEngine, CVectorResult< T >, CKernelStructuredOutputMachine, CThresholdRejectionStrategy, CVwConditionalProbabilityTree, CEMBase< MixModelData >, CHessianLocallyLinearEmbedding, CCustomMahalanobisDistance, CCombinationRule, CClusteringAccuracy, CClusteringMutualInformation, CMultilabelAccuracy, CMeanShiftDataGenerator, CMMDKernelSelectionComb, CFactorGraphModel, CLocalTangentSpaceAlignment, CSubsetStack, CStoreScalarAggregator< T >, CConjugateGradientSolver, CGridSearchModelSelection, CStochasticSOSVM, CMultitaskLeastSquaresRegression, CMajorityVote, CLinearOperator< T >, CMultitaskLinearMachine, CLinearOperator< float64_t >, CLinearOperator< complex128_t >, CMeanRule, CLocalityPreservingProjections, CGradientEvaluation, CDirectEigenSolver, CLinearSolver< T, ST >, CMulticlassLibSVM, CMKLRegression, CFactorDataSource, CFactorGraph, CTaskRelation, CLinearSolver< float64_t, float64_t >, CLinearSolver< complex128_t, float64_t >, CLinearSolver< T, T >, CSerialComputationEngine, CIndexBlockRelation, CECOCEncoder, CKernelMeanMatching, CROCEvaluation, CGaussianBlobsDataGenerator, CBalancedConditionalProbabilityTree, CFactorType, CSOSVMHelper, CMKLOneClass, CLibSVMOneClass, CMPDSVM, CGradientResult, CKernelMulticlassMachine, CNormalSampler, CECOCIHDDecoder, CConditionalProbabilityTree, CRelaxedTree, CFWSOSVM, CDomainAdaptationMulticlassLibLinear, CMKLClassification, CGPBTSVM, CSubset, CECOCRandomDenseEncoder, CMulticlassTreeGuidedLogisticRegression, CShareBoost, CGNPPSVM, CDirectSparseLinearSolver, CMulticlassLogisticRegression, CMulticlassOCAS, CFactorGraphDataGenerator, CPRCEvaluation, CStratifiedCrossValidationSplitting, CSparseInverseCovariance, CDisjointSet, CCrossValidationSplitting, CDenseSubsetFeatures< ST >, CECOCForestEncoder, CGUIMath, CGUITime, CTDistributedStochasticNeighborEmbedding, CCrossValidationPrintOutput, CManifoldSculpting, CCrossValidationMKLStorage, SerializableAsciiReader00, CJobResult, CFunction, CECOCAEDDecoder, CECOCDecoder, CECOCEDDecoder, CData, CNativeMulticlassMachine, CECOCStrategy, CConverter, CBaseMulticlassMachine, CECOCSimpleDecoder, CLOOCrossValidationSplitting, CECOCLLBDecoder, CStructuredData, CECOCHDDecoder, CRandomConditionalProbabilityTree, CECOCOVOEncoder, CECOCOVREncoder , 以及 CRejectionStrategy 内被实现.

virtual bool get_next_feature ( int32_t &  index,
float64_t &  value,
void *  iterator 
)
pure virtual

iterate over the non-zero features

call this function with the iterator returned by get_feature_iterator and call free_feature_iterator to cleanup

参数
indexis returned by reference (-1 when not available)
valueis returned by reference
iteratoras returned by get_feature_iterator
返回
true if a new non-zero feature got returned

在 CSparseFeatures< ST >, CSparseFeatures< ST >, CSparseFeatures< float64_t >, CSparseFeatures< T >, CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T >, CDenseFeatures< uint16_t >, CDenseSubsetFeatures< ST >, CHashedWDFeaturesTransposed, CCombinedDotFeatures, CImplicitWeightedSpecFeatures, CDenseSubSamplesFeatures< ST >, CHashedDenseFeatures< ST >, CRandomKitchenSinksDotFeatures, CPolyFeatures, CHashedSparseFeatures< ST >, CWDFeatures, CHashedDocDotFeatures, CHashedWDFeatures, CBinnedDotFeatures, CSparsePolyFeatures, CExplicitSpecFeatures, CLBPPyrDotFeatures , 以及 CSNPFeatures 内被实现.

virtual int32_t get_nnz_features_for_vector ( int32_t  num)
pure virtual
int32_t get_num_preprocessed ( ) const
inherited

get the number of applied preprocs

返回
number of applied preprocessors

在文件 Features.cpp 第 103 行定义.

int32_t get_num_preprocessors ( ) const
inherited

get number of preprocessors

返回
number of preprocessors

在文件 Features.cpp 第 155 行定义.

virtual int32_t get_num_vectors ( ) const
pure virtualinherited
CPreprocessor * get_preprocessor ( int32_t  num) const
inherited

get specified preprocessor

参数
numindex of preprocessor in list

在文件 Features.cpp 第 93 行定义.

CSubsetStack * get_subset_stack ( )
virtualinherited

returns subset stack

返回
subset stack

在文件 Features.cpp 第 334 行定义.

bool has_property ( EFeatureProperty  p) const
inherited

check if features have given property

参数
pfeature property
返回
if features have given property

在文件 Features.cpp 第 295 行定义.

bool is_generic ( EPrimitiveType *  generic) const
virtualinherited

If the SGSerializable is a class template then TRUE will be returned and GENERIC is set to the type of the generic.

参数
genericset to the type of the generic if returning TRUE
返回
TRUE if a class template.

在文件 SGObject.cpp 第 296 行定义.

bool is_preprocessed ( int32_t  num) const
inherited

get whether specified preprocessor was already applied

参数
numindex of preprocessor in list

在文件 Features.cpp 第 149 行定义.

void list_feature_obj ( ) const
inherited

list feature object

在文件 Features.cpp 第 171 行定义.

void list_preprocessors ( )
inherited

print preprocessors

在文件 Features.cpp 第 131 行定义.

void load ( CFile *  loader)
virtualinherited
bool load_serializable ( CSerializableFile *  file,
const char *  prefix = "" 
)
virtualinherited

Load this object from file. If it will fail (returning FALSE) then this object will contain inconsistent data and should not be used!

参数
filewhere to load from
prefixprefix for members
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp 第 369 行定义.

void load_serializable_post ( )
throw (ShogunException
)
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.

异常
ShogunExceptionwill 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.

void load_serializable_pre ( )
throw (ShogunException
)
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.

异常
ShogunExceptionwill 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.

bool parameter_hash_changed ( )
virtualinherited
返回
whether parameter combination has changed since last update

在文件 SGObject.cpp 第 262 行定义.

void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

在文件 SGObject.cpp 第 474 行定义.

void print_serializable ( const char *  prefix = "")
virtualinherited

prints registered parameters out

参数
prefixprefix for members

在文件 SGObject.cpp 第 308 行定义.

void remove_all_subsets ( )
virtualinherited

removes all subsets Calls subset_changed_post() afterwards

被 CCombinedFeatures 重载.

在文件 Features.cpp 第 328 行定义.

void remove_subset ( )
virtualinherited

removes that last added subset from subset stack, if existing Calls subset_changed_post() afterwards

被 CCombinedFeatures 重载.

在文件 Features.cpp 第 322 行定义.

bool reshape ( int32_t  num_features,
int32_t  num_vectors 
)
virtualinherited

in case there is a feature matrix allow for reshaping

NOT IMPLEMENTED!

参数
num_featuresnew number of features
num_vectorsnew number of vectors
返回
if reshaping was successful

被 CDenseFeatures< ST >, CDenseFeatures< uint32_t >, CDenseFeatures< float64_t >, CDenseFeatures< T > , 以及 CDenseFeatures< uint16_t > 重载.

在文件 Features.cpp 第 165 行定义.

void save ( CFile *  writer)
virtualinherited
bool save_serializable ( CSerializableFile *  file,
const char *  prefix = "" 
)
virtualinherited

Save this object to file.

参数
filewhere to save the object; will be closed during returning if PREFIX is an empty string.
prefixprefix for members
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp 第 314 行定义.

void save_serializable_post ( )
throw (ShogunException
)
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.

异常
ShogunExceptionwill be thrown if an error occurs.

被 CKernel 重载.

在文件 SGObject.cpp 第 436 行定义.

void save_serializable_pre ( )
throw (ShogunException
)
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.

异常
ShogunExceptionwill 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_combined_feature_weight ( float64_t  nw)

set combined kernel weight

参数
nwnew combined feature weight

在文件 DotFeatures.h 第 160 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 41 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 46 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 51 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 56 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 61 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 66 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 71 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 76 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 81 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 86 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 91 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 96 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 101 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 106 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp 第 111 行定义.

void set_generic ( )
inherited

set generic type to T

void set_global_io ( SGIO *  io)
inherited

set the io object

参数
ioio object to use

在文件 SGObject.cpp 第 228 行定义.

void set_global_parallel ( Parallel *  parallel)
inherited

set the parallel object

参数
parallelparallel object to use

在文件 SGObject.cpp 第 241 行定义.

void set_global_version ( Version *  version)
inherited

set the version object

参数
versionversion object to use

在文件 SGObject.cpp 第 283 行定义.

void set_preprocessed ( int32_t  num)
inherited

set applied flag for preprocessor

参数
numindex of preprocessor in list

在文件 Features.cpp 第 143 行定义.

void set_property ( EFeatureProperty  p)
inherited

set property

参数
pkernel property to set

在文件 Features.cpp 第 300 行定义.

CSGObject * shallow_copy ( ) const
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.

virtual void subset_changed_post ( )
virtualinherited

method may be overwritten to update things that depend on subset

被 CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char > , 以及 CStringFeatures< uint16_t > 重载.

在文件 Features.h 第 293 行定义.

virtual bool support_compatible_class ( ) const
virtualinherited

does this class support compatible computation bewteen difference classes? for example, this->dot(rhs_prt), can rhs_prt be an instance of a difference class?

返回
whether this class supports compatible computation

被 CDenseSubSamplesFeatures< ST > 重载.

在文件 Features.h 第 323 行定义.

void unset_generic ( )
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.

void unset_property ( EFeatureProperty  p)
inherited

unset property

参数
pkernel property to unset

在文件 Features.cpp 第 305 行定义.

void update_parameter_hash ( )
virtualinherited

Updates the hash of current parameter combination

在文件 SGObject.cpp 第 248 行定义.

类成员变量说明

float64_t combined_weight
protected

feature weighting in combined dot features

在文件 DotFeatures.h 第 249 行定义.

SGIO* io
inherited

io

在文件 SGObject.h 第 369 行定义.

Parameter* m_gradient_parameters
inherited

parameters wrt which we can compute gradients

在文件 SGObject.h 第 384 行定义.

uint32_t m_hash
inherited

Hash of parameter values

在文件 SGObject.h 第 387 行定义.

Parameter* m_model_selection_parameters
inherited

model selection parameters

在文件 SGObject.h 第 381 行定义.

Parameter* m_parameters
inherited

parameters

在文件 SGObject.h 第 378 行定义.

CSubsetStack* m_subset_stack
protectedinherited

subset used for index transformations

在文件 Features.h 第 352 行定义.

Parallel* parallel
inherited

parallel

在文件 SGObject.h 第 372 行定义.

Version* version
inherited

version

在文件 SGObject.h 第 375 行定义.


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SHOGUN 机器学习工具包 - 项目文档