SHOGUN  4.0.0
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CStreamingDotFeatures类 参考abstract

详细描述

Streaming features that support dot products among other operations.

DotFeatures support the following operations:

在文件 StreamingDotFeatures.h47 行定义.

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

Public 成员函数

 CStreamingDotFeatures ()
 
 CStreamingDotFeatures (CStreamingFile *file, bool is_labelled, int32_t size)
 
 CStreamingDotFeatures (CDotFeatures *dot_features, float64_t *lab=NULL)
 
virtual ~CStreamingDotFeatures ()
 
virtual float32_t dot (CStreamingDotFeatures *df)=0
 
virtual float32_t dense_dot (const float32_t *vec2, int32_t vec2_len)=0
 
virtual void dense_dot_range (float32_t *output, float32_t *alphas, float32_t *vec, int32_t dim, float32_t b, int32_t num_vec=0)
 
virtual void add_to_dense_vec (float32_t alpha, float32_t *vec2, int32_t vec2_len, bool abs_val=false)=0
 
virtual void expand_if_required (float32_t *&vec, int32_t &len)
 
virtual void expand_if_required (float64_t *&vec, int32_t &len)
 
virtual int32_t get_dim_feature_space () const =0
 
virtual void * get_feature_iterator ()
 
virtual int32_t get_nnz_features_for_vector ()
 
virtual bool get_next_feature (int32_t &index, float32_t &value, void *iterator)
 
virtual void free_feature_iterator (void *iterator)
 
void set_read_functions ()
 
virtual void set_vector_reader ()=0
 
virtual void set_vector_and_label_reader ()=0
 
virtual void start_parser ()=0
 
virtual void end_parser ()=0
 
virtual float64_t get_label ()=0
 
virtual bool get_next_example ()=0
 
virtual void release_example ()=0
 
virtual int32_t get_num_features ()=0
 
virtual bool get_has_labels ()
 
virtual bool is_seekable ()
 
virtual void reset_stream ()
 
virtual CFeaturesget_streamed_features (index_t num_elements)
 
virtual CFeaturesduplicate () 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)
 
CPreprocessorget_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 CFeaturescreate_merged_copy (CList *others)
 
virtual CFeaturescreate_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 CSubsetStackget_subset_stack ()
 
virtual void subset_changed_post ()
 
virtual CFeaturescopy_subset (SGVector< index_t > indices)
 
virtual CFeaturescopy_dimension_subset (SGVector< index_t > dims)
 
virtual CSGObjectshallow_copy () const
 
virtual CSGObjectdeep_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="", int32_t param_version=Version::get_version_parameter())
 
virtual bool load_serializable (CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter())
 
DynArray< TParameter * > * load_file_parameters (const SGParamInfo *param_info, int32_t file_version, CSerializableFile *file, const char *prefix="")
 
DynArray< TParameter * > * load_all_file_parameters (int32_t file_version, int32_t current_version, CSerializableFile *file, const char *prefix="")
 
void map_parameters (DynArray< TParameter * > *param_base, int32_t &base_version, DynArray< const SGParamInfo * > *target_param_infos)
 
void set_global_io (SGIO *io)
 
SGIOget_global_io ()
 
void set_global_parallel (Parallel *parallel)
 
Parallelget_global_parallel ()
 
void set_global_version (Version *version)
 
Versionget_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 CSGObjectclone ()
 

Public 属性

SGIOio
 
Parallelparallel
 
Versionversion
 
Parameterm_parameters
 
Parameterm_model_selection_parameters
 
Parameterm_gradient_parameters
 
ParameterMapm_parameter_map
 
uint32_t m_hash
 

Protected 成员函数

virtual TParametermigrate (DynArray< TParameter * > *param_base, const SGParamInfo *target)
 
virtual void one_to_one_migration_prepare (DynArray< TParameter * > *param_base, const SGParamInfo *target, TParameter *&replacement, TParameter *&to_migrate, char *old_name=NULL)
 
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

bool has_labels
 Whether examples are labelled or not. 更多...
 
CStreamingFileworking_file
 The StreamingFile object to read from. 更多...
 
bool seekable
 Whether the stream is seekable. 更多...
 
CSubsetStackm_subset_stack
 

构造及析构函数说明

Constructor

在文件 StreamingDotFeatures.cpp14 行定义.

CStreamingDotFeatures ( CStreamingFile file,
bool  is_labelled,
int32_t  size 
)

Constructor with input information passed.

参数
fileCStreamingFile to take input from.
is_labelledWhether examples are labelled or not.
sizeNumber of examples to be held in the parser's "ring".
CStreamingDotFeatures ( CDotFeatures dot_features,
float64_t lab = NULL 
)

Constructor taking a CDotFeatures object and optionally, labels, as args.

The derived class should implement it so that the Streaming*Features class uses the DotFeatures object as the input, getting examples one by one from the DotFeatures object (and labels, if applicable).

参数
dot_featuresCDotFeatures object
lablabels (optional)

在文件 StreamingDotFeatures.cpp19 行定义.

~CStreamingDotFeatures ( )
virtual

在文件 StreamingDotFeatures.cpp26 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.cpp85 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

CCombinedFeatures 重载.

在文件 Features.cpp310 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.cpp316 行定义.

virtual void add_to_dense_vec ( float32_t  alpha,
float32_t vec2,
int32_t  vec2_len,
bool  abs_val = false 
)
pure virtual

add current vector multiplied with alpha to dense vector, 'vec'

参数
alphascalar alpha
vec2real valued vector to add to
vec2_lenlength of vector
abs_valif true add the absolute value

CStreamingVwFeatures, CStreamingSparseFeatures< T >, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CStreamingHashedDocDotFeatures, CStreamingHashedDenseFeatures< ST > , 以及 CStreamingHashedSparseFeatures< ST > 内被实现.

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.cpp1243 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.cpp283 行定义.

void clean_preprocessors ( )
inherited

clears all preprocs

在文件 Features.cpp116 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.cpp1360 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

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

在文件 Features.cpp348 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

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.cpp340 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

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

在文件 Features.h235 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

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

在文件 Features.h249 行定义.

CSGObject * deep_copy ( ) const
virtualinherited

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

在文件 SGObject.cpp200 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.cpp122 行定义.

virtual float32_t dense_dot ( const float32_t vec2,
int32_t  vec2_len 
)
pure virtual
void dense_dot_range ( float32_t output,
float32_t alphas,
float32_t vec,
int32_t  dim,
float32_t  b,
int32_t  num_vec = 0 
)
virtual

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

参数
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
num_vecnumber of vectors to operate on (indices 0 to num_vec-1)

If num_vec == 0 or left to its default value, the function attempts to return dot product for all vectors. However, the given output vector must be preallocated!

note that the result will be written to output[0...(num_vec-1)] except when num_vec = 0

在文件 StreamingDotFeatures.cpp30 行定义.

virtual float32_t dot ( CStreamingDotFeatures df)
pure virtual

compute dot product between vectors of two StreamingDotFeatures objects.

参数
dfStreamingDotFeatures (of same kind) to compute dot product with

CStreamingVwFeatures, CStreamingSparseFeatures< T >, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CStreamingHashedDocDotFeatures, CStreamingHashedDenseFeatures< ST > , 以及 CStreamingHashedSparseFeatures< ST > 内被实现.

virtual CFeatures* duplicate ( ) const
pure virtualinherited
virtual void end_parser ( )
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.cpp1264 行定义.

void expand_if_required ( float32_t *&  vec,
int32_t &  len 
)
virtual

Expand the vector passed so that it its length is equal to the dimensionality of the features. The previous values are kept intact through realloc, and the new ones are set to zero.

参数
vecfloat32_t* vector
lenlength of the vector

CStreamingVwFeatures 重载.

在文件 StreamingDotFeatures.cpp53 行定义.

void expand_if_required ( float64_t *&  vec,
int32_t &  len 
)
virtual

Expand the vector passed so that it its length is equal to the dimensionality of the features. The previous values are kept intact through realloc, and the new ones are set to zero.

参数
vecfloat64_t* vector
lenlength of the vector

CStreamingVwFeatures 重载.

在文件 StreamingDotFeatures.cpp64 行定义.

void free_feature_iterator ( void *  iterator)
virtual

clean up iterator call this function with the iterator returned by get_first_feature

参数
iteratoras returned by get_first_feature

在文件 StreamingDotFeatures.cpp93 行定义.

int32_t get_cache_size ( ) const
inherited

get cache size

返回
cache size

在文件 Features.cpp160 行定义.

virtual int32_t get_dim_feature_space ( ) const
pure virtual

obtain the dimensionality of the feature space

(not mix this up with the dimensionality of the input space, usually obtained via get_num_features())

返回
dimensionality

CStreamingVwFeatures, CStreamingSparseFeatures< T >, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t >, CStreamingHashedDocDotFeatures, CStreamingHashedDenseFeatures< ST > , 以及 CStreamingHashedSparseFeatures< ST > 内被实现.

virtual EFeatureClass get_feature_class ( ) const
pure virtualinherited
void * get_feature_iterator ( )
virtual

iterate over the non-zero features

call get_feature_iterator first, followed by get_next_feature and free_feature_iterator to cleanup

返回
feature iterator (to be passed to get_next_feature)

在文件 StreamingDotFeatures.cpp75 行定义.

virtual EFeatureType get_feature_type ( ) const
pure virtualinherited
SGIO * get_global_io ( )
inherited

get the io object

返回
io object

在文件 SGObject.cpp237 行定义.

Parallel * get_global_parallel ( )
inherited

get the parallel object

返回
parallel object

在文件 SGObject.cpp278 行定义.

Version * get_global_version ( )
inherited

get the version object

返回
version object

在文件 SGObject.cpp291 行定义.

bool get_has_labels ( )
virtualinherited

Return whether the examples are labelled or not.

返回
true if labelled, else false

在文件 StreamingFeatures.cpp35 行定义.

virtual float64_t get_label ( )
pure virtualinherited
SGStringList< char > get_modelsel_names ( )
inherited
返回
vector of names of all parameters which are registered for model selection

在文件 SGObject.cpp1135 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.cpp1159 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.cpp1172 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

CMath, CHMM, CStringFeatures< ST >, CStringFeatures< T >, CStringFeatures< uint8_t >, CStringFeatures< char >, CStringFeatures< uint16_t >, 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, CF1Measure, CCSVFile, 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, CRandomKitchenSinksDotFeatures, COnlineLinearMachine, CVwParser, CPluginEstimate, CVowpalWabbit, CBinnedDotFeatures, CSVMOcas, CNeuralConvolutionalLayer, CPlifMatrix, CHashedWDFeatures, CCrossValidation, CImplicitWeightedSpecFeatures, CCombinedFeatures, CSparseMatrixOperator< T >, CSNPFeatures, CWDFeatures, CKMeans, CCrossValidationMulticlassStorage, CHashedDenseFeatures< ST >, CIOBuffer, CUAIFile, CTwoStateModel, CLossFunction, CPCA, CHMSVMModel, CDeepAutoencoder, CLeastAngleRegression, CKNN, CGUIKernel, 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, CTwoSampleTest, CSquaredLoss, CAbsoluteDeviationLoss, CExponentialLoss, CCustomKernel, CMulticlassLabels, CHash, CFactor, CPlifArray, CLinearTimeMMD, CQPBSVMLib, CStreamingHashedDocDotFeatures, CStreamingVwFile, CKernelIndependenceTest, CCustomDistance, CWeightedDegreeStringKernel, CKernelRidgeRegression, CBaggingMachine, CQDA, CNeuralLayers, CNeuralLogisticLayer, CNeuralRectifiedLinearLayer, CTOPFeatures, CDiceKernelNormalizer, CHierarchicalMultilabelModel, CMultitaskKernelMklNormalizer, CTask, CGaussianProcessClassification, CVwEnvironment, CBinaryLabels, CMultilabelModel, CMultilabelSOLabels, CDomainAdaptationSVMLinear, CCHAIDTree, CKernelTwoSampleTest, CWeightedDegreePositionStringKernel, CMAPInferImpl, CTanimotoKernelNormalizer, CCircularBuffer, CMCLDA, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CBesselKernel, CAvgDiagKernelNormalizer, CVarianceKernelNormalizer, CMulticlassModel, COnlineLibLinear, CGaussianDistribution, CIndexFeatures, CCARTree, CStreamingAsciiFile, CIndependenceTest, CHierarchical, CFKFeatures, CCombinedKernel, CSparseSpatialSampleStringKernel, CSpectrumMismatchRBFKernel, COperatorFunction< T >, CMultilabelCLRModel, COperatorFunction< float64_t >, CVwRegressor, CHashedDocConverter, CFactorGraphLabels, CKLInferenceMethod, CDotKernel, CGaussianKernel, CCommWordStringKernel, CSubsequenceStringKernel, CSet< T >, CDataGenerator, CNeuralInputLayer, CSequenceLabels, CPolyFeatures, CNode, CContingencyTableEvaluation, CChi2Kernel, CPyramidChi2, CDenseMatrixOperator< T >, CDenseMatrixOperator< float64_t >, CSignal, CLibSVR, CSalzbergWordStringKernel, CStructuredLabels, CSquaredHingeLoss, CNewtonSVM, CKLApproxDiagonalInferenceMethod, CLPBoost, CVwLearner, CKLCholeskyInferenceMethod, CKLCovarianceInferenceMethod, CCommUlongStringKernel, CCompressor, CIterativeLinearSolver< T, ST >, CIterativeLinearSolver< float64_t, float64_t >, CIterativeLinearSolver< complex128_t, float64_t >, CIterativeLinearSolver< T, T >, CSVMLin, CHistogram, CGaussianShiftKernel, CGCArray< T >, CIndexBlockTree, CMultiLaplacianInferenceMethod, CNeuralSoftmaxLayer, CHomogeneousKernelMap, CLocallyLinearEmbedding, CMahalanobisDistance, CAttributeFeatures, CRandomFourierDotFeatures, CFirstElementKernelNormalizer, CMap< K, T >, CLogLoss, CLogLossMargin, CSmoothHingeLoss, CMap< shogun::TParameter *, shogun::SGVector< float64_t > >, CMap< shogun::TParameter *, shogun::CSGObject * >, CVwNativeCacheReader, CDistanceKernel, CLatentLabels, CKLLowerTriangularInferenceMethod, CSoftMaxLikelihood, CSpectrumRBFKernel, CMultilabelLabels, CSingleLaplacianInferenceMethodWithLBFGS, CMMDKernelSelection, CSegmentLoss, CKernelDistance, CLogDetEstimator, CLinearRidgeRegression, CGNPPLib, CStreamingFileFromFeatures, CPolyMatchStringKernel, CScatterSVM, COligoStringKernel, CSimpleLocalityImprovedStringKernel, CKLDualInferenceMethod, CKernelSelection, CStreamingVwCacheFile, CCircularKernel, CConstKernel, CDiagKernel, CSphericalKernel, CLogitDVGLikelihood, 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, CDiffusionMaps, CMinkowskiMetric, CExponentialKernel, CLaplacianEigenmaps, CAttenuatedEuclideanDistance, CCauchyKernel, CLogKernel, CPowerKernel, CRationalQuadraticKernel, CWaveKernel, CLaplacianInferenceBase, CDistantSegmentsKernel, CLocalityImprovedStringKernel, CMatchWordStringKernel, CRegulatoryModulesStringKernel, CKernelMachine, CBAHSIC, MKLMulticlassGradient, CAUCKernel, CHistogramIntersectionKernel, CSigmoidKernel, CDistanceMachine, CGaussianProcessMachine, CStructuredOutputMachine, CKernelDependenceMaximization, CInverseMultiQuadricKernel, CFFDiag, CJADiag, CJADiagOrth, CLabelsFactory, CJediDiag, CQDiag, CUWedge, CTreeMachineNode< T >, CLibLinearRegression, CMMDKernelSelectionCombOpt, CTreeMachineNode< ConditionalProbabilityTreeNodeData >, CTreeMachineNode< RelaxedTreeNodeData >, CTreeMachineNode< id3TreeNodeData >, CTreeMachineNode< VwConditionalProbabilityTreeNodeData >, CTreeMachineNode< CARTreeNodeData >, CTreeMachineNode< C45TreeNodeData >, CTreeMachineNode< CHAIDTreeNodeData >, CTreeMachineNode< NbodyTreeNodeData >, CMulticlassAccuracy, CGaussianARDKernel, CGaussianShortRealKernel, CMultiquadricKernel, CLocalAlignmentStringKernel, CExactInferenceMethod, CICAConverter, CSplineKernel, CDelimiterTokenizer, CDualVariationalGaussianLikelihood, CLogitVGPiecewiseBoundLikelihood, CDimensionReductionPreprocessor, CPerceptron, CHistogramWordStringKernel, CLogRationalApproximationIndividual, CTaskTree, CProbabilityDistribution, CConstMean, 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, CLinearOperator< RetType, OperandType >, CCGMShiftedFamilySolver, CIterativeShiftedLinearFamilySolver< T, ST >, CLogRationalApproximationCGM, CMMDKernelSelectionCombMaxL2, CDualLibQPBMSOSVM, CMultitaskL12LogisticRegression, CLinearOperator< SGVector< T >, SGVector< T > >, CLinearOperator< shogun::SGVector< complex128_t >, shogun::SGVector< complex128_t > >, CLinearOperator< shogun::SGVector< float64_t >, shogun::SGVector< float64_t > >, CLinearOperator< shogun::SGVector< T >, shogun::SGVector< T > >, CIterativeShiftedLinearFamilySolver< float64_t, complex128_t >, CGeodesicMetric, CJensenMetric, CTanimotoDistance, CLineReader, CIdentityKernelNormalizer, CLinearStringKernel, CFITCInferenceMethod, CLinearStructuredOutputMachine, CDecompressString< ST >, CGUIConverter, 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, CSparsePreprocessor< ST >, CLeastSquaresRegression, MKLMulticlassOptimizationBase, CVwNativeCacheWriter, CJediSep, CUWedgeSep, CSparseEuclideanDistance, CRealFileFeatures, CLinearARDKernel, CJobResultAggregator, CSingleLaplacianInferenceMethod, CMulticlassOneVsOneStrategy, CGUIPluginEstimate, CVwAdaptiveLearner, CStringDistance< ST >, CLinearLatentMachine, CDenseMatrixExactLog, CPNorm, CRescaleFeatures, CSparseMultilabel, CStringDistance< uint16_t >, CVwNonAdaptiveLearner, CStructuredAccuracy, CWeightedDegreeRBFKernel, CECOCRandomSparseEncoder, CMulticlassStrategy, CGradientCriterion, CLatentSVM, CIndependentJob, CEPInferenceMethod, CGMNPSVM, CLogPlusOne, CMixtureModel, CFactorGraphObservation, CNormOne, CMAPInference, CLibSVM, 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, CConjugateOrthogonalCGSolver, CGradientModelSelection, CPruneVarSubMean, CSequence, CMultitaskLogisticRegression, CGUIPreprocessor, CStoreVectorAggregator< complex128_t >, CMeanSquaredError, CMeanSquaredLogError, CLatentSOSVM, CStudentsTLikelihood, CSortUlongString, CFeatureBlockLogisticRegression, CMeanAbsoluteError, CDummyFeatures, CListElement, CDenseExactLogJob, CMulticlassLibLinear, CIsomap, CDenseDistance< ST >, CRealDistance, CLMNN, CMMDKernelSelectionMax, CDenseDistance< float64_t >, 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 >, CGaussianLikelihood, CConjugateGradientSolver, CGridSearchModelSelection, CStochasticSOSVM, CMultitaskLeastSquaresRegression, CMajorityVote, CMultitaskLinearMachine, 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, CPRCEvaluation, CStratifiedCrossValidationSplitting, CProbitLikelihood, CSparseInverseCovariance, CDisjointSet, CCrossValidationSplitting, CDenseSubsetFeatures< ST >, CECOCForestEncoder, CGUIMath, CGUITime, CLogitLikelihood, CTDistributedStochasticNeighborEmbedding, CCrossValidationPrintOutput, CFactorAnalysis, CManifoldSculpting, CCrossValidationMKLStorage, SerializableAsciiReader00, CJobResult, CFunction, CECOCAEDDecoder, CECOCDecoder, CECOCEDDecoder, CData, CZeroMean, CNativeMulticlassMachine, CECOCStrategy, CConverter, CBaseMulticlassMachine, CECOCSimpleDecoder, CLOOCrossValidationSplitting, CECOCLLBDecoder, CStructuredData, CECOCHDDecoder, CRandomConditionalProbabilityTree, CECOCOVOEncoder, CECOCOVREncoder , 以及 CRejectionStrategy 内被实现.

virtual bool get_next_example ( )
pure virtualinherited
bool get_next_feature ( int32_t &  index,
float32_t value,
void *  iterator 
)
virtual

iterate over the non-zero features

call this function with the iterator returned by get_first_feature 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_first_feature
返回
true if a new non-zero feature got returned

在文件 StreamingDotFeatures.cpp87 行定义.

int32_t get_nnz_features_for_vector ( )
virtual

get number of non-zero features in vector

(in case accurate estimates are too expensive overestimating is OK)

返回
number of sparse features in vector

CStreamingVwFeatures, CStreamingSparseFeatures< T >, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t > , 以及 CStreamingDenseFeatures< float32_t > 重载.

在文件 StreamingDotFeatures.cpp81 行定义.

virtual int32_t get_num_features ( )
pure virtualinherited
int32_t get_num_preprocessed ( ) const
inherited

get the number of applied preprocs

返回
number of applied preprocessors

在文件 Features.cpp103 行定义.

int32_t get_num_preprocessors ( ) const
inherited

get number of preprocessors

返回
number of preprocessors

在文件 Features.cpp155 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.cpp93 行定义.

virtual CFeatures* get_streamed_features ( index_t  num_elements)
virtualinherited

Returns a new CFeatures instance which contains num_elements elements from the underlying stream. Not SG_REF'ed

参数
num_elementsnum elements to save from stream
返回
CFeatures object of underlying type, might be smaller than requested if the stream stopped. A warning is issued in this case.

NOT IMPLEMENTED!

CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t > , 以及 CStreamingDenseFeatures< float32_t > 重载.

在文件 StreamingFeatures.h191 行定义.

CSubsetStack * get_subset_stack ( )
virtualinherited

returns subset stack

返回
subset stack

在文件 Features.cpp334 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.cpp295 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.cpp297 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.cpp149 行定义.

bool is_seekable ( )
virtualinherited

Whether the stream is seekable (to check if multiple epochs are possible), i.e., whether we can process examples in a batch fashion.

A stream can usually seekable when it comes from a file or when it comes from another conventional CFeatures object.

返回
true if seekable, else false.

在文件 StreamingFeatures.cpp40 行定义.

void list_feature_obj ( ) const
inherited

list feature object

在文件 Features.cpp171 行定义.

void list_preprocessors ( )
inherited

print preprocessors

在文件 Features.cpp131 行定义.

void load ( CFile loader)
virtualinherited
DynArray< TParameter * > * load_all_file_parameters ( int32_t  file_version,
int32_t  current_version,
CSerializableFile file,
const char *  prefix = "" 
)
inherited

maps all parameters of this instance to the provided file version and loads all parameter data from the file into an array, which is sorted (basically calls load_file_parameter(...) for all parameters and puts all results into a sorted array)

参数
file_versionparameter version of the file
current_versionversion from which mapping begins (you want to use Version::get_version_parameter() for this in most cases)
filefile to load from
prefixprefix for members
返回
(sorted) array of created TParameter instances with file data

在文件 SGObject.cpp704 行定义.

DynArray< TParameter * > * load_file_parameters ( const SGParamInfo param_info,
int32_t  file_version,
CSerializableFile file,
const char *  prefix = "" 
)
inherited

loads some specified parameters from a file with a specified version The provided parameter info has a version which is recursively mapped until the file parameter version is reached. Note that there may be possibly multiple parameters in the mapping, therefore, a set of TParameter instances is returned

参数
param_infoinformation of parameter
file_versionparameter version of the file, must be <= provided parameter version
filefile to load from
prefixprefix for members
返回
new array with TParameter instances with the attached data

在文件 SGObject.cpp545 行定义.

bool load_serializable ( CSerializableFile file,
const char *  prefix = "",
int32_t  param_version = Version::get_version_parameter() 
)
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
param_version(optional) a parameter version different to (this is mainly for testing, better do not use)
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp374 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.

CKernel, CWeightedDegreePositionStringKernel, CList, CAlphabet, CLinearHMM, CGaussianKernel, CInverseMultiQuadricKernel, CCircularKernel , 以及 CExponentialKernel 重载.

在文件 SGObject.cpp1062 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.

CDynamicArray< T >, CDynamicArray< float64_t >, CDynamicArray< float32_t >, CDynamicArray< int32_t >, CDynamicArray< char >, CDynamicArray< bool > , 以及 CDynamicObjectArray 重载.

在文件 SGObject.cpp1057 行定义.

void map_parameters ( DynArray< TParameter * > *  param_base,
int32_t &  base_version,
DynArray< const SGParamInfo * > *  target_param_infos 
)
inherited

Takes a set of TParameter instances (base) with a certain version and a set of target parameter infos and recursively maps the base level wise to the current version using CSGObject::migrate(...). The base is replaced. After this call, the base version containing parameters should be of same version/type as the initial target parameter infos. Note for this to work, the migrate methods and all the internal parameter mappings have to match

参数
param_baseset of TParameter instances that are mapped to the provided target parameter infos
base_versionversion of the parameter base
target_param_infosset of SGParamInfo instances that specify the target parameter base

在文件 SGObject.cpp742 行定义.

TParameter * migrate ( DynArray< TParameter * > *  param_base,
const SGParamInfo target 
)
protectedvirtualinherited

creates a new TParameter instance, which contains migrated data from the version that is provided. The provided parameter data base is used for migration, this base is a collection of all parameter data of the previous version. Migration is done FROM the data in param_base TO the provided param info Migration is always one version step. Method has to be implemented in subclasses, if no match is found, base method has to be called.

If there is an element in the param_base which equals the target, a copy of the element is returned. This represents the case when nothing has changed and therefore, the migrate method is not overloaded in a subclass

参数
param_baseset of TParameter instances to use for migration
targetparameter info for the resulting TParameter
返回
a new TParameter instance with migrated data from the base of the type which is specified by the target parameter

在文件 SGObject.cpp949 行定义.

void one_to_one_migration_prepare ( DynArray< TParameter * > *  param_base,
const SGParamInfo target,
TParameter *&  replacement,
TParameter *&  to_migrate,
char *  old_name = NULL 
)
protectedvirtualinherited

This method prepares everything for a one-to-one parameter migration. One to one here means that only ONE element of the parameter base is needed for the migration (the one with the same name as the target). Data is allocated for the target (in the type as provided in the target SGParamInfo), and a corresponding new TParameter instance is written to replacement. The to_migrate pointer points to the single needed TParameter instance needed for migration. If a name change happened, the old name may be specified by old_name. In addition, the m_delete_data flag of to_migrate is set to true. So if you want to migrate data, the only thing to do after this call is converting the data in the m_parameter fields. If unsure how to use - have a look into an example for this. (base_migration_type_conversion.cpp for example)

参数
param_baseset of TParameter instances to use for migration
targetparameter info for the resulting TParameter
replacement(used as output) here the TParameter instance which is returned by migration is created into
to_migratethe only source that is used for migration
old_namewith this parameter, a name change may be specified

在文件 SGObject.cpp889 行定义.

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

在文件 SGObject.cpp263 行定义.

void print_modsel_params ( )
inherited

prints all parameter registered for model selection and their type

在文件 SGObject.cpp1111 行定义.

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

prints registered parameters out

参数
prefixprefix for members

在文件 SGObject.cpp309 行定义.

virtual void release_example ( )
pure virtualinherited
void remove_all_subsets ( )
virtualinherited

removes all subsets Calls subset_changed_post() afterwards

CCombinedFeatures 重载.

在文件 Features.cpp328 行定义.

void remove_subset ( )
virtualinherited

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

CCombinedFeatures 重载.

在文件 Features.cpp322 行定义.

void reset_stream ( )
virtualinherited
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

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

在文件 Features.cpp165 行定义.

void save ( CFile writer)
virtualinherited
bool save_serializable ( CSerializableFile file,
const char *  prefix = "",
int32_t  param_version = Version::get_version_parameter() 
)
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
param_version(optional) a parameter version different to (this is mainly for testing, better do not use)
返回
TRUE if done, otherwise FALSE

在文件 SGObject.cpp315 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.

CKernel 重载.

在文件 SGObject.cpp1072 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.

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.cpp1067 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp42 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp47 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp52 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp57 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp62 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp67 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp72 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp77 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp82 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp87 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp92 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp97 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp102 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp107 行定义.

void set_generic ( )
inherited

在文件 SGObject.cpp112 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.cpp230 行定义.

void set_global_parallel ( Parallel parallel)
inherited

set the parallel object

参数
parallelparallel object to use

在文件 SGObject.cpp243 行定义.

void set_global_version ( Version version)
inherited

set the version object

参数
versionversion object to use

在文件 SGObject.cpp284 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.cpp143 行定义.

void set_property ( EFeatureProperty  p)
inherited

set property

参数
pkernel property to set

在文件 Features.cpp300 行定义.

void set_read_functions ( )
inherited

Set the vector reading functions.

The functions are implemented specific to the type in the derived class.

在文件 StreamingFeatures.cpp29 行定义.

virtual void set_vector_and_label_reader ( )
pure virtualinherited

The derived object must set the function which will be used by the parser for reading one vector and label from the file. This function should be a member of the CStreamingFile class.

See the implementation in StreamingDenseFeatures for details.

CStreamingHashedDocDotFeatures, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CStreamingVwFeatures, CStreamingSparseFeatures< T >, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t > , 以及 CStreamingStringFeatures< T > 内被实现.

virtual void set_vector_reader ( )
pure virtualinherited

The derived object must set the function which will be used for reading one vector from the file. This function should be a member of the CStreamingFile class.

See the implementation in StreamingDenseFeatures for details.

CStreamingHashedDocDotFeatures, CStreamingHashedDenseFeatures< ST >, CStreamingHashedSparseFeatures< ST >, CStreamingVwFeatures, CStreamingSparseFeatures< T >, CStreamingDenseFeatures< T >, CStreamingDenseFeatures< float64_t >, CStreamingDenseFeatures< float32_t > , 以及 CStreamingStringFeatures< T > 内被实现.

CSGObject * shallow_copy ( ) const
virtualinherited

A shallow copy. All the SGObject instance variables will be simply assigned and SG_REF-ed.

CGaussianKernel 重载.

在文件 SGObject.cpp194 行定义.

virtual void start_parser ( )
pure virtualinherited
virtual void subset_changed_post ( )
virtualinherited

method may be overwritten to update things that depend on subset

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

在文件 Features.h293 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.cpp304 行定义.

void unset_property ( EFeatureProperty  p)
inherited

unset property

参数
pkernel property to unset

在文件 Features.cpp305 行定义.

void update_parameter_hash ( )
virtualinherited

Updates the hash of current parameter combination

在文件 SGObject.cpp250 行定义.

类成员变量说明

bool has_labels
protectedinherited

Whether examples are labelled or not.

在文件 StreamingFeatures.h201 行定义.

SGIO* io
inherited

io

在文件 SGObject.h496 行定义.

Parameter* m_gradient_parameters
inherited

parameters wrt which we can compute gradients

在文件 SGObject.h511 行定义.

uint32_t m_hash
inherited

Hash of parameter values

在文件 SGObject.h517 行定义.

Parameter* m_model_selection_parameters
inherited

model selection parameters

在文件 SGObject.h508 行定义.

ParameterMap* m_parameter_map
inherited

map for different parameter versions

在文件 SGObject.h514 行定义.

Parameter* m_parameters
inherited

parameters

在文件 SGObject.h505 行定义.

CSubsetStack* m_subset_stack
protectedinherited

subset used for index transformations

在文件 Features.h335 行定义.

Parallel* parallel
inherited

parallel

在文件 SGObject.h499 行定义.

bool seekable
protectedinherited

Whether the stream is seekable.

在文件 StreamingFeatures.h207 行定义.

Version* version
inherited

version

在文件 SGObject.h502 行定义.

CStreamingFile* working_file
protectedinherited

The StreamingFile object to read from.

在文件 StreamingFeatures.h204 行定义.


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